# AI Agent / AI 评测 职位报告
> 生成时间：2026-08-28 15:01
> 共 **472** 个职位 | **182** 个有公开薪资 | **470** 个有职位描述全文
> 来源：Wellfound 130 · LinkedIn 111 · We Work Remotely 80 · Himalayas 48 · Surge AI 33 · HN Hiring 32 · AI-Jobs.net 30 · RemoteOK 8
分档说明：
- **🤖 AI Agent 开发**（102）— 直接做 agent / RAG / tool-use 的岗位
- **🔬 AI 评测 / 对齐**（140）— 做 evals / benchmark / red-team / RLHF 的岗位
- **🧠 泛 AI / LLM 工程**（230）— 方向沾边，作为兜底不遗漏
> 组内排序：可申请 > AI 相关度（关键词命中数）> 有薪资 > 技术栈匹配分。
> 职位描述**全文保留**未截断，点击展开查看。
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## 🤖 AI Agent 开发（102 个）
*直接做 agent / RAG / tool-use 的岗位*
### 1. Python Backend Development Talent with RAG and Agentic AI Experience
- **公司：** Toptal
- **薪资：** 未披露
- **地区：** Asia Only
- **来源：** We Work Remotely | **发布：** Wed, 12 Aug 2026
- **AI 关键词命中（10）：** ai agents, agentic, autonomous agents, langchain, langgraph, rag, retrieval-augmented, evaluation, model evaluation, guardrails
- **技术栈匹配：** 99分 +20 Python后端 / +15 Go语言 / +10 Kubernetes / +8 Docker / +8 DevOps/CI / +15 AI/LLM/评测 / +8 分布式/微服务 / +15 全球远程
- **链接：** https://weworkremotely.com/remote-jobs/toptal-python-backend-development-talent-with-rag-and-agentic-ai-experience
职位描述全文
Headquarters: Summary: We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks. The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services. General information: The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities. The developer will work closely with a distributed team and should be available for several hours of overlap with US working hours. The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration. The solution must be scalable, secure, observable, and suitable for production use. The technology environment includes Python, FastAPI, large language models, LangGraph, LangChain, vector databases, Azure AI services, AWS, Docker, Kubernetes, and microservice-based architectures. Task and deliverables: Design the end-to-end architecture for a scalable RAG system and AI chatbot. Develop Python backend services, REST APIs, and microservices using FastAPI or similar frameworks. Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines. Implement vector search solutions using Azure AI Search or comparable vector databases. Design autonomous AI agents capable of planning, reasoning, tool usage, and decision-making. Develop multi-step AI workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar orchestration frameworks. Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and comparable models. Implement conversation memory, session management, context management, and agent collaboration patterns. Connect AI workflows with APIs, databases, enterprise systems, and external tools. Develop asynchronous, high-performance services capable of handling concurrent AI workloads. Implement prompt management, structured outputs, guardrails, fallback logic, and model evaluation processes. Establish logging, monitoring, tracing, observability, security, and error-handling standards. Containerize and deploy AI services using Docker, Kubernetes, Azure, or AWS. Translate business requirements into technical designs, delivery milestones, and production-ready AI solutions. Collaborate with the wider team while independently owning architecture and implementation decisions. Required experience: Required: 8 or more years of professional Python backend development experience. Required: Strong experience designing REST APIs, microservices, asynchronous services, and distributed backend systems. Required: Hands-on experience building production-grade RAG applications. Required: Strong understanding of embeddings, document chunking, semantic search, vector indexing, retrieval strategies, and reranking. Required: Hands-on experience developing AI agents and multi-step LLM workflows. Required: Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or comparable platforms. Required: Experience integrating LLMs through OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source model APIs. Required: Ability to design AI architecture beyond basic prompt engineering. Required: Experience integrating AI applications with APIs, databases, data pipelines, and enterprise systems. Required: Experience implementing security, monitoring, logging, tracing, and observability for production services. Required: Experience deploying containerized applications using Docker and cloud platforms such as Azure or AWS. Required: Ability to independently translate business requirements into scalable technical solutions. Required: Strong communication and collaboration skills in a distributed working environment. Required: Availability for several hours of overlap with US working hours. To apply: https://weworkremotely.com/remote-jobs/toptal-python-backend-development-talent-with-rag-and-agentic-ai-experience
职位描述全文
Location: Dallas, TX
Remote: Yes
Willing to relocate: Yes (including internationally)
Technologies: Python, LangGraph, LangChain, MCP, RAG, supervised fine-tuning (LoRA/PEFT), Anthropic/OpenAI APIs, PyTorch, Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP
Résumé/CV: https://suneelkalva.com
Email: suneel.kalva190700@gmail.com AI engineer at U.S. Bank building production LLM systems: a RAG assistant over 500K+ documents for 200+ analysts, LLM eval harnesses (hallucination, PII, prompt-injection), and fine-tuned LLaMA/Mistral models. Outside work I built and published mendrift-mcp (PyPI, listed on the official MCP Registry) an autonomous MLOps incident-response agent with an HMAC-gated approval layer, evaluated on a 19-scenario trajectory harness. Looking for applied AI / ML engineer roles building agentic systems.
职位描述全文
Careers / Field Engineering & Operations Research Engineer, Coding Evaluation & Training Data About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Research Engineer, Coding Evaluation & Training Data at Surge, you'll sit at the intersection of software engineering and product to build and run the systems that teach frontier models how to code. You’ll own end-to-end coding data projects for top AI labs, designing tasks, RL environments, and evaluation schemes that reflect real-world software engineering. This is an ideal role for a software engineer who wants to keep using their engineering skill set every day, but is most excited by training data quality, agentic evaluation, and system design (humans + models + tools) rather than traditional product feature work. What You'll Do Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up. Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use). Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.” Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training. Design and run qualification processes for coding workers, including hands-on assessments of their coding ability. Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure). Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments. Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes. What We're Looking For 3–6+ years of professional software engineering experience building and maintaining real systems. Strong coding ability in at least one mainstream language and comfort working in production codebases. High “taste” for good engineering: you care about correctness, code quality, and how real engineering teams actually wor
职位描述全文
Careers / Field Engineering & Operations Software Engineer, Coding Evaluation & Training Data About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like, Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Software Engineer, Coding Evaluation & Training Data at Surge, you'll sit at the intersection of software engineering and product to build and run the systems that teach frontier models how to code. You’ll own end-to-end coding data projects for top AI labs, designing tasks, RL environments, and evaluation schemes that reflect real-world software engineering. This is an ideal role for a software engineer who wants to keep using their engineering skill set every day, but is most excited by training data quality, agentic evaluation, and system design (humans + models + tools) rather than traditional product feature work. What You'll Do Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up. Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use). Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.” Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training. Design and run qualification processes for coding workers, including hands-on assessments of their coding ability. Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure). Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments. Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes. What We're Looking For 2–6+ years of professional software engineering experience building and maintaining real systems. Strong coding ability in at least one mainstream language and comfort working in production codebases. High “taste” for good engineering: you care about correctness, code quality, and how real engineering teams actually wo
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Headquarters: Toronto Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! About Cohere and North Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. Role Overview We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution: Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements. Context Engineering: Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories. Model-Scaffolding Co-evolution: Own the feedback loop between North's harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it. Responsibilities Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards. Requirements 5+ years of product management experience in agentic AI systems, developer infrastructure, or applied ML products Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform Ability to flex between ML research conversations and engineering architecture discussions with equal fluency Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability. Nice-to-Haves An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open-source harnesses, coding agents, and orchestration tools in both professional and personal work Hands-on experience with enterprise agentic deployments: multi-tenant orchestration, tool permissioning, audit trails, and compliance requirements Familiarity with infrastructure constraints relevant to enterprise deployments: on-premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air-gapped settings Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features Background working within or closely alongside an ML research or post-training team Why Join Cohere? Impact: Shape how Canada's most important public institutions adopt and deploy frontier AI. Innovation: Work alongside leading researchers and engineers solving complex ML challenges. Growth: Competitive compensation, equity options, and opportunities for professional development. Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea) If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!) To apply: https://weworkremotely.com/remote-jobs/cohere-product-manager-agent-harness-modelling
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Careers / Field Engineering & Operations RL Environments Architect About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As an RL Environments Architect, you’ll design, instrument, and govern the simulated worlds where agents learn — from compact task microcosms to multi-agent, tool-using ecosystems. You’ll define the primitives, reward structures, interfaces, and telemetry that let us stress-test emerging capabilities while keeping training signals faithful, stable, and scalable. Not only will you build environments, you’ll craft standards for data quality and reproducibility across large-scale agent gyms. This is a role for someone who sweats the details of simulation fidelity, thinks in terms of coverage and failure surfaces, and loves turning messy real-world phenomena into learnable curricula. Your work will form the backbone for safe, rapid progress in agentic systems. What You'll Do Architect a modular environment framework with clear APIs, curriculum scaffolds, and configurable reward/termination schemas Establish quality bars: coverage metrics, invariance checks, and trace audits for environment outputs and agent experience buffers Instrument rich telemetry for episode rollouts; mitigating reward hacking, mode collapse, and exploitable loopholes Partner with researchers to translate real-world tasks into robust simulations, including synthetic data generators and evaluation suites What We’re Looking for Simulation & Systems Depth – Experience building RL environments or simulators (e.g., custom physics, multi-agent, tool APIs) with an eye for determinism, performance, and observability Data Quality Leadership – Strong instincts for designing reward functions, scenario taxonomies, and QA pipelines that keep signals aligned and drift-free Builder’s Mindset – Comfort collaborating across research and engineering to ship pragmatic, testable environments that evolve with model capabilities How to Apply To apply, please email talent@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligen
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Headquarters: Remote - Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning. Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences. Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions. Build strong cross-functional partnerships and influence engineering strategy to establish AI evaluations as a foundational capability that accelerates AI development across Lattice. What You Will Bring to the Table Experience leading and growing high-performing software engineering teams, with a track record of hiring, coaching, and developing engineers into strong technical leaders. Strong technical background leading teams that build AI infrastructure, AI-powered products leveraging Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who leads by example—contributing to architecture, design reviews, and code reviews, diving into implementation details when needed, and raising the technical bar across the team. Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability are critical to customer success. Proven ability to lead complex cross-functional initiatives from strategy through execution, partnering effectively with Product, Applied AI, Data Science, and Engineering to deliver business impact. Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction in fast-moving, ambiguous environments. A strong product and platform mindset, balancing customer impact, engineering velocity, operational excellence, and long-term technical investments. A leadership style grounded in curiosity, humility, ownership, and continuous learning, with a passion for building exceptional engineering teams and delivering high-quality AI products. Nice to Have Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure. Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking. Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning. Experience building internal platforms and services adopted across multiple engineering teams. #LI-remote The estimated annual cash salary for this role is CAD $146,250 - CAD $195,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget. Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. About Lattice Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning – and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line . Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy . To apply: https://weworkremotely.com/remote-jobs/lattice-engineering-manager-ai-1
职位描述全文
Headquarters: Remote - US This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning. Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences. Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions. Build strong cross-functional partnerships and influence engineering strategy to establish AI evaluations as a foundational capability that accelerates AI development across Lattice. What You Will Bring to the Table Experience leading and growing high-performing software engineering teams, with a track record of hiring, coaching, and developing engineers into strong technical leaders. Strong technical background leading teams that build AI infrastructure, AI-powered products leveraging Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who leads by example—contributing to architecture, design reviews, and code reviews, diving into implementation details when needed, and raising the technical bar across the team. Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability are critical to customer success. Proven ability to lead complex cross-functional initiatives from strategy through execution, partnering effectively with Product, Applied AI, Data Science, and Engineering to deliver business impact. Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction in fast-moving, ambiguous environments. A strong product and platform mindset, balancing customer impact, engineering velocity, operational excellence, and long-term technical investments. A leadership style grounded in curiosity, humility, ownership, and continuous learning, with a passion for building exceptional engineering teams and delivering high-quality AI products. Nice to Have Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure. Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking. Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning. Experience building internal platforms and services adopted across multiple engineering teams. #LI-remote The estimated annual cash salary for this role is $187,500 - $234,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; and Learning & Development Budget. Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. About Lattice Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning – and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line . Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy . To apply: https://weworkremotely.com/remote-jobs/lattice-engineering-manager-ai
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At Jamf , we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple.
The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #One Jamf .
This role is offered as a remote in Poland . We are only able to accept applications for those based in Poland or who have sponsorship to live and work in Poland . You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you'll do at Jamf : At Jamf , we empower people to be their best selves and do their best work. As a Software Engineer II on a new team enabling secure, governed adoption of autonomous and agentic workflows, you'll help build production systems where AI agents do real work on real code - authoring changes inside deterministic gates, with independent verification and a full audit trail. This is a greenfield build inside a mature platform, starting with Security. What you can expect to do in this role: Build the production systems where AI agents do real work on real code – authoring changes that run inside deterministic gates, with independent verification and a full audit trail behind every one. Take customer and platform problems, break them into workable pieces with your agile team, and own most of them end to end. Draw the line on autonomy: design the trust boundaries, blast radius, and least-privilege model for the automation itself, which holds elevated access to production. Build the evaluation and observability that keeps non-deterministic systems honest – measuring accuracy and catching silent degradation before anyone else does. Make the systems answer the auditor's "show me" – producing evidence that a control worked, not just the claim that it did. Work shoulder to shoulder with security engineering and PDD developers, and explain the tricky parts clearly to the rest of the organization. Bring engineering best practices to the table: ask the sharp questions, solve the hard problems, and help others level up. What we are looking for: Must-have: 3+ years building enterprise-grade software commercially, with a solid grasp of testing and QA. 3+ years of commercial experience in Java or Python. Hands-on experience building with LLM APIs and agentic frameworks – tool calling, multi-step execution, structured output – well beyond using AI coding assistants. Hands-on experience with AI-driven coding assistants (GitHub Copilot, Cursor, Claude Code) to speed up your own work. Sound judgment about where automation should and shouldn't act on its own – and the ability to articulate exactly where that line sits. You think in trust boundaries, blast radius, and least privilege by default. You treat vulnerability management as a discipline: severity and exploitability, SLAs, and exception handling. Experience in an agile organization and with build systems like Jenkins or Bamboo. You build trust and rapport across all levels, and do your best work collaboratively in a fast-paced environment. Nice-to-have: Software supply chain security – SBOMs, provenance and attestation, image signing and verification, policy-as-code. Experience running AI coding agents at repository scale, and building the harness that makes their output trustworthy. Familiarity with AI governance in a security context – model-use policy, data handling, and the audit questions that follow an agent-initiated production change. Experience in a regulated environment (SOC 2, FedRAMP, or similar) and a feel for what auditors actually ask for. Why Jamf ? We are progressive but laid back. You are free to be yourself and work how you work best. Here, you manage your own day and your own work style. You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect. We encourage you to simply be you. We constantly seek and value different perspectives to ensure Jamf is a place where everyone feels comfortable and can be successful. Benefits are a critical part of the "whole employee experience". Our benefits package includes 30 days of paid time off, 3 paid days to volunteer, Multisport Card, Luxmed packages and more. Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
What it means to be a Jamf ?We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace.
Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly.
Above it all, waves our banner of #One Jamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement.
What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf , customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day.
Get social with us and follow the conversation at #One Jamf
Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at
Originally posted on Himalayas
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Our Purpose
At SentinelOne , we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne , your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer at SentinelOne , designing how enterprise-grade AI coding assistants and LLM platforms integrate into our engineering workflows. You will own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization. Your work will ensure our AI tooling investment is secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review. What Will You Do? Primary responsibilities include: Architect the AI Engineering Layer
Define the end‑to‑end architecture for AI-augmented development at SentinelOne , centered on enterprise-grade AI coding assistants and LLM platforms integrated with our IDEs, CI/CD pipelines, and internal platforms.
Design how large-context LLMs consume our codebase and documentation context so that AI assistance scales safely across hundreds of repos.
Establish reusable patterns for agentic workflows with clear rollback and validation strategies.
Own AI Guardrails, Skills, and Standards
Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools (our chosen AI coding assistants, PR bots, agents) must enforce, including language, framework, security, performance, and reliability patterns.
Translate these standards into prompt templates, tool configurations, and policy‑as‑code so they are enforced automatically rather than via documentation alone.
Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne ’s AI Policies, data residency, and FedRAMP compliance requirements.
Implement AI-Driven Code Review and Safety as Code
Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks to enforce style, security, performance, and reliability standards before human review.
Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior.
Encode “safety as code” by integrating test coverage, performance scans, and progressive delivery patterns (canaries, blue/green) into AI‑authored change flows.
Lead Vendor Evaluation and Integration
Serve as the principal technical owner for AI developer tooling evaluations using structured evaluation criteria and data-driven analysis.
Work closely with the DevEx leadership and TPM to design and run POCs, define technical success criteria, and produce executive‑ready recommendations.
Ensure all vendors meet SentinelOne ’s security, privacy, and data governance standards.
Drive Developer Adoption and Experience
Act as the technical face of AI DevEx to engineering: publish guidance, patterns, and internal frameworks that make AI tooling a seamless part of everyday work rather than a side experiment.
Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and “day‑in‑the‑life” workflows that level up prompt engineering and AI‑assisted development skills across developer organizations.
Collaborate across the SentinelOne developer community to translate adoption and productivity signals into DORA metrics and ROI narratives that are credible to Engineering Leadership, Finance, and the CFO.
Partner on Reliability, Metrics, and Governance
Work with SRE and Reliability Engineering to ensure AI‑accelerated delivery improves MTTR, CFR, and SLO performance.
Participate in the DevEx governance model to prioritize initiatives, manage risk, and align AI DevEx roadmaps with company objectives.
Own the engineering intelligence dashboards and leadership reports to surface the impact of AI tooling on developer productivity metrics.
What Skills and Knowledge Will You Bring? Ideal candidates will have: Experience
10+ years in software engineering, platform/dev tools, or infrastructure engineering, including significant experience operating at Staff/Principal level in a 300+ engineer product organization.
3+ years designing and shipping LLM‑powered developer tools or workflows in production environments.
Proven track record of architecting developer platforms or large‑scale internal tooling used by hundreds of engineers.
Technical Skills
Deep understanding of LLM context window design, retrieval strategies, prompt engineering at scale, and how they interact with large polyglot codebases.
Hands-on experience integrating at least one enterprise AI coding assistant into IDEs and Git hosting platforms.
Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review.
Solid understanding of CI/CD systems and progressive delivery and how to embed AI in those pipelines.
Strong grounding in security and compliance for SaaS and AI/ML systems
Leadership & Collaboration
Experience acting as a cross‑org technical leader: aligning Staff/Principal engineers, EMs, and PMs around a shared architecture and standard.
Comfortable presenting technical tradeoffs and ROI to senior leadership, and defending architecture choices with data.
Proven ability to mentor and partner with the entire Product and Technology organization to deliver complex multi‑quarter programs.
Excellent written and verbal communication skills; able to produce clear design docs, evaluation criteria, and developer‑facing guidance that drive alignment at scale.
Why SentinelOne ? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards
Restricted Stock Units (RSUs)
Employee Stock Purchase Plan (ESPP)
Time Off & Wellbeing
Flexible time off
Paid company holidays and paid sick time
Gender-neutral parental leave
Grandparent leave
Insurance & Financial Security
Medical, dental, and vision coverage
401(k) retirement plan with company match
Life and disability insurance
Health and dependent care FSA
Voluntary benefits (hospital, accident, critical illness)
Employee Assistance Program (EAP)
ARAG pre-paid legal
Nationwide pet insurance
Cancer Care program
Global business travel medical insurance
Work Perks & Flexibility
Home office allowance
Mobile phone reimbursement
Wellness & Lifestyle
Wellness coach
Wellness/gym reimbursement
Fertility coverage
Adoption & surrogacy reimbursement
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$216,000—$260,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Originally posted on Himalayas
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Headquarters: New York, NY URL: https://lemon.io Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. We have several AI-related roles; here are some of them. Requirements - AI Engineer: 3+ years of commercial experience applying AI to practical technology solutions A solid understanding of Python is a must; experience with other programming languages commonly used in AI is a plus Experience with Vector Databases, Pinecone or Weaviate is required 2+ years of experience with LangChain is mandatory 2+ years of experience with large language models (LLMs) or vLLMs is mandatory 2+ years of experience with RAG or OpenAI is required Requirements - AI Agent Architect: 3+ years of experience with Python 3+ years of experience with LLM Experience with Multi-agent systems architecture, AI agent orchestration, AI telemetry is a must. Requirements - AI Automation Architect: 1+ year of experience with Workflow Automation and Webhooks 3+ years with SQL is a must Familiarity with AI API integration and Claude Cowork is a must Knowledge of Make.com/n8n/Zapier Strong technical skills: as a Senior AI Engineer/Architect, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won’t let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. Sounds good for you? Apply now and join the Lemon.io community! NOT YOUR TECH STACK? We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in Site Reliability Engineering, Platform Engineering, React & Python, React & Golang, Golang, React & Java, React & Ruby, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Dart, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa). To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-ai-engineer-4
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Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code Our Tech Stack Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary) AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others) Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock Search & Retrieval: Vector databases, OpenSearch, embedding models Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability What We're Looking For Must-Haves 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows Data engineering background — robust, scalable pipelines for AI/ML workloads LLM operations experience — evals and observability for production LLM systems (quality, cost, latency) Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch) Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development Experience with Docker, Kubernetes, and AWS US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance) Nice-to-Haves Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies Graph data experience — knowledge graphs, graph databases, or graph-based retrieval Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates Research background, open-source contributions, or an advanced degree in ML/IR/NLP Why Join Collaboration AI? Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built. AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them. Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust. Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here. To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-software-ai-engineer
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Headquarters: Summary We are looking for a Tech Lead to take ownership of a delivery portfolio within a Manufacturing Engineering group that builds the data products the plant depends on. This is a hands-on leadership role focused on shipping and operating manufacturing data products in a validated production environment, while applying AI with sound judgment in a regulated context. General information This group builds manufacturing data products including real-time batch progression monitoring, process anomaly detection, and analytics that drive yield and throughput improvement. The team owns the data pipelines, cloud platform, environments, and delivery, and works closely with data science colleagues to define problems, provide data, and run the infrastructure required for production use. The role leads a small, senior, multi-disciplinary team and carries accountability for what is shipped, when it is shipped, and how it performs in operation. The environment requires disciplined promotion from DEV to QA to PROD, with validation, change control, traceability, and documentation handled rigorously. Tasks and Deliverables - Own delivery of a portfolio of manufacturing data products from concept through validated production use. - Lead a small, senior, multi-disciplinary team of data engineers, warehouse engineers, and full-stack developers. - Solve technical issues that stall the team, including pipeline failures, warehouse performance and cost, data quality, integration with plant systems, and production incidents. - Supervise progression from DEV to QA to PROD, ensuring validation, change control, traceability, and documentation are properly met. - Partner with data science to frame solvable problems, provide well-understood data and environments, and assess whether models are fit for intended production use. - Evaluate and introduce AI-assisted approaches to development, testing, documentation, and monitoring, with clear judgment on regulated-context limitations. - Work closely with Product Owners and Product Architects to shape scope and sequencing, and communicate progress, risk, and trade-offs clearly. - Produce architecture documentation, decision records, and operational runbooks that support long-term delivery and operations. Required experience - Degree in engineering, computer science, or a related technical discipline, or equivalent demonstrated capability. - Three or more years leading technical delivery for a software or data team. - Advanced SQL with strong data modeling judgment and performance and cost awareness. - Strong Python for production data engineering and services. - Hands-on AWS experience across compute, storage, orchestration, identity, and observability. - Deep experience with a cloud data warehouse; Snowflake preferred. - Fluency with Git-based workflows, CI/CD, infrastructure as code, and structured environment promotion and release management. - Working understanding of the machine learning lifecycle, including model evaluation, deployment, and monitoring. - Strong stakeholder communication skills and the judgment to challenge requests with better technical paths. - Good understanding of agentic AI. Nice to have - Experience in pharmaceutical, biotech, medical device, or another regulated manufacturing environment. - Familiarity with GxP computerized system validation, GAMP 5, 21 CFR Part 11, EU Annex 11, or ALCOA+ data integrity principles. - Exposure to MES, process historians such as OSIsoft PI or AVEVA, ISA-88 batch structures, electronic batch records, or LIMS. - Postgraduate qualification in artificial intelligence, machine learning, or data science. - Practical experience with AI-assisted development tooling in an enterprise setting. - Background in cloud security, platform engineering, or technology evaluation and validation. To apply: https://weworkremotely.com/remote-jobs/toptal-tech-lead-manufacturing-data-ai-platforms-global-pharmaceutical-company
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Headquarters: Remote - United States WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com . THE ROLE We're building Zeta Developer Platform , our next-generation Marketing Operating System, and we need a Senior Product Designer who will be instrumental to its success. This role is a pillar position that bridges design and engineering to create the core foundation of the Agentic Apps Framework that will fuel our Zeta Developer Platform experience. You'll partner with our design system team, inform Model Context Protocol (MCP) improvements, and build the foundation—then scale—our Agentic and Vertical Apps infrastructure. You'll join at a pivotal moment where we're raising the bar on quality, speed, and innovation. We're looking for someone who can challenge us in the best way: bringing strong skills in AI, visual design, UX, motion, and coding to push our thinking forward and help us achieve what hasn't been done before. This is a foundational role for a product that will define our company's future. You won't just be designing features—you'll be designing the core AI experience. AI is central to how users interact with the product, not an add-on Your work defines how users trust, understand, and rely on the Zeta Developer Platform every day You’re shaping a platform launching at Zeta Live 2026, with impact that compounds over time THE TEAM We're evolving how we work to reach the next level: Vision over hand-holding leads to more creativity and innovation Empowerment and delegation leads to more accountability and ownership Strategy and clarity means less management, more impact Challenge and growth creates better outcomes through healthy debate We value people who bring ideas on what we should stop doing, start doing, or change to elevate our team. RESPONSIBILITIES Design the Zeta Developer Platform Experience: Own and evolve the end-to-end Zeta Developer Platform experience, including conversational interfaces, contextual guidance, and AI-driven workflows that support daily user tasks across the platform. Design Systems Partnership: You’ll work closely with our Design Systems team to create, maintain, and evolve scalable UX and UI patterns for Zeta Developer Platform —ensuring consistency, quality, and flexibility as the platform grows and more teams build on it. Partner Closely with Product & Engineering: Work as a core triad partner with Product Management and Engineering to define strategy, behavior, and execution—translating complex requirements and technical constraints into intuitive, human-centered AI experiences. Confidently present work, rationale, and tradeoffs to partners and leadership to drive alignment and decisions. Advance AI Interaction & Explainability Patterns: Define how Zeta Developer Platform communicates intent, progress, confidence, and limitations—helping users understand, trust, and collaborate with intelligent systems. Raise the Bar on Craft, Motion, and Interaction Quality: Lead by example through strong visual design, interaction design, motion, and prototyping—using motion and micro-interactions to communicate system state, reduce cognitive load, and make AI feel responsive and alive. Scale the Zeta Developer Platform Experience: Identify opportunities to standardize UX patterns, documentation, and behaviors across Zeta Developer Platform —creating consistency while allowing flexibility where needed. REQUIREMENTS 8+ years of product design experience on complex platforms or systems Experience designing and shipping AI-powered or data-informed products Proven track record of close collaboration with Product and Engineering Experience influencing standards, patterns, or systems beyond a single feature Ability to balance craft, speed, and business impact Figma (expert level) — scalable component architecture, design systems, and documentation AI design tools such as ChatGPT, Claude, or similar, used as part of daily design workflows Prototyping tools (Figma Prototypes, Framer, ProtoPie, or similar) for exploring behavior and interaction Motion tools such as Rive or After Effects or similar for stateful interactions and micro-animations Working knowledge of HTML, CSS, and modern frontend concepts Comfort working within modern product development tools and workflow Core Skills AI & Conversational Design Fluency: Experience designing AI-powered, conversational, or assistive experiences, with a focus on clarity, trust, and responsible presentation of AI output. Systems & Platform Design Expertise: Proven ability to design scalable UX frameworks, patterns, and interaction models that support complex platforms and evolving capabilities. End-to-End Product Design Craft: Excellence across UX, visual design, interaction design, and motion, with the ability to make complex systems feel approachable and usable. Technical Collaboration & Prototyping: Comfort partnering closely with engineers, understanding technical constraints, and using prototyping to explore and validate interaction and behavior. Design Leadership Without Authority: Ability to influence outcomes through clear thinking, strong critique, documentation, and example-setting across teams. Cross-Functional Influence & Communication: Demonstrated ability to clearly articulate design thinking, rationale, and tradeoffs; confidently present work; and influence decisions across design, product, engineering, data, and leadership—especially in complex, ambiguous, or technically dense problem spaces. Mindset & Approach Ownership-driven leader who takes responsibility for outcomes, not just outputs Customer- and experience-obsessed, especially in AI-driven workflows Quality advocate with pragmatic judgment, balancing craft with speed Collaborative, Resilient Partner who approaches challenges with professionalism and empathy, engages in healthy debate, and maintains clear, respectful collaboration and communication. Motion Tools Framer Motion Motion.dev D3 GSAP Design Tools Rive Figma FigJam Figma Slides Vibe Coding Tools Cursor Claude Code Storybook React/Next.js Comms/PM Tools Slack Confluence Jira BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $160,000 - $180,000 depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-ND1 #LI-remote To apply: https://weworkremotely.com/remote-jobs/zeta-global-senior-product-designer-ai
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Careers / Research & Data Science Forward Deployed Researcher About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Forward Deployed Researcher, you’ll embed directly with leading AI labs and frontier model teams to explore how their models behave in the wild — and what it takes to make them work reliably at scale. You’ll lead hands-on research to evaluate capabilities, surface subtle failure modes, and design interventions that shape model behavior and deployment outcomes. You won’t just run tests — you’ll uncover insights that inform the next generation of model development. This is a role for someone who thrives on close collaboration, lives for iteration, and loves turning real-world complexity into actionable breakthroughs. Your work will shape how some of the most advanced AI systems interface with the world. What We’re Looking for Curiosity about Model Behavior – Interest in how models reason, generalize, and fail when applied to complex real-world tasks Experimental Rigor – Strong instincts for research design and insight generation in ambiguous settings Customer-Centered Mindset – Excitement to embed deeply with partners, understand their goals, and build towards meaningful impact What You'll Do Design and run evaluations to probe model generalization and behavior under deployment constraints Build data pipelines, fine-tuning workflows, or interventions to steer and improve model outputs Partner with internal stakeholders and external AI labs to operationalize custom frontier model use cases Explore and address failure modes in long-context reasoning, tool use, or real-time feedback loops How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Frontend Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role This is a senior, hands-on engineering role for builders who want full ownership. As a Frontend Engineer, you’ll design and build the interfaces that let humans shape frontier AI models. You’ll craft elegant, high-performance web experiences that make complex data workflows intuitive and fast — from rich annotation dashboards to interactive agent simulations. You’ll own everything from UI architecture and design systems to performance optimization, collaborating closely with product, research, and operations to deliver tools that are both powerful and delightful to use. This role is ideal for someone who obsesses over smooth interactions, pixel-perfect details, and building responsive, reliable products that feel great to use. Examples of Problems We're Solving How can we design intuitive, dynamic interfaces that let users explore entire simulated worlds—complete with fake Slack threads, Jira tickets, and interactive websites—while making it easy to visualize and debug what agents are doing inside them? How do we replicate the friction and unpredictability of the real web—ads, cookie banners, paywalls, error states—in ways that feel authentic and challenging for AI agents, without breaking immersion or usability? How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Headquarters: Mexico City, Mexico City, Mexico As the Full-stack Developer you will help lead the charge of the mission to turn big ideas into blazing realities. In this role, you won’t just write code, you’ll shape dreams, building custom apps that delight clients and advancing the AI tools that power magic. We’re searching for a curious learner, a bold challenger, and a collaborative spirit. Responsibilities: Designing and implementing AI internal tools to supercharge our processes and take the quality of our projects to new heights. Creating and maintaining REST APIs written in Python, Django, and Django Rest Framework Building and maintaining components in JavaScript and NextJS / React. Writing and maintaining unit and integration tests to ensure the quality of deliverables that turn clients into superfans. Implementing secure, robust, scalable, and maintainable solutions. Collaborating with Product, other developers, and teams to meet challenging goals. Contributing to the company's culture and vision. C1 English or equivalent 3+ years of experience developing applications with React; experience with NextJS is a plus. 3+ years of experience developing backend applications with Python; ideally using Django Rest. Hands-on experience with Docker, Docker Compose, and infrastructure as code solutions like Terraform. Hands-on experience with cloud services; ideally with AWS. Hands-on experience creating and maintaining unit and integration tests. Hands-on experience with Git and GitHub to contribute effectively to our projects. A curious mindset with a passion for learning and using new technologies. Natural leadership skills and a drive to win and learn quickly, both as an individual and as part of a team. Preferred Qualifications Experience working with high-growth startups. Experience building products using LLMs or LLM-based agents. Ideally using Langchain. Experience training AI models: building, cleaning datasets, setting up training pipelines, and evaluation benchmarks. Experience building code generation or editing solutions. A team-player mentality with a history of influencing and improving development processes. Compensation: $3,500 to $5000 USD/ monthly PTO and Holidays To apply: https://weworkremotely.com/remote-jobs/sur-full-stack-developer
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Headquarters: Remote - United States WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com . THE ROLE We're building Zeta Developer Platform , our next-generation Marketing Operating System, and we need a Senior Product Designer who will be instrumental to its success. This role is a pillar position that bridges design and engineering to create the core foundation of the Agentic Application Framework that will fuel our Zeta Developer Platform experience. You'll partner with our design system team, inform Model Context Protocol (MCP) improvements, and build the foundation—then scale—our Agentic and Vertical Apps infrastructure. You'll join at a pivotal moment where we're raising the bar on quality, speed, and innovation. We're looking for someone who can challenge us in the best way: bringing strong skills in AI, visual design, UX, motion, and coding to push our thinking forward and help us achieve what hasn't been done before. This is a foundational role for a product that will define our company's future. You won't just be designing features—you'll be architecting how AI-powered apps are built across the entire platform. You're building the foundation, not a feature: Designing the Agentic Apps Framework that powers Zeta Developer Platform end to end AI is core to the product, not an experiment: You'll ship real, production-grade agentic experiences customers rely on every day Design has real leverage here: Your systems, patterns, and processes will enable teams across the company to move faster without sacrificing quality True ownership: Help set standards, define best practices, and shape what "great" looks like as the platform scales Compounding impact: The work you do will influence how apps are built, how teams collaborate, and how Zeta Developer Platform evolves THE TEAM We're evolving how we work to reach the next level: Vision over hand-holding leads to more creativity and innovation Empowerment and delegation leads to more accountability and ownership Strategy and clarity means less management, more impact Challenge and growth creates better outcomes through healthy debate We value people who bring ideas on what we should stop doing, start doing, or change to elevate our team. RESPONSIBILITIES Build the Foundation of Agentic & Vertical Apps Own and evolve our Agentic & Vertical Apps experiences in Figma, manage and improve the App Creation Process, and provide quality oversight to guide others who are new to the process. You'll create the systematic foundation that enables consistency, scalability, and exceptional quality across our entire product ecosystem. Partner Closely with Product & Engineering to Shape Apps Work as a core triad partner with Product Management and Engineering to define strategy, scope, and execution—translating complex requirements and technical constraints into clear, intuitive agentic experiences. Iterate and improve on Agentic App concepts to deliver on unique customer use cases. Advance AI-Driven Design Patterns & Model Context Experiences: Inform and evolve Model Context Protocol (MCP) patterns, AI interaction models, and agent behaviors—helping define how users understand, trust, and collaborate with intelligent systems inside a marketing operating system. Raise the Bar on Craft, Motion, and Interaction Quality: Lead by example through strong visual design, interaction design, motion, and prototyping—setting a new quality bar for speed, clarity, and polish across AI-powered workflows and tools. Influence, Mentor, and Scale Design Impact: Act as a force multiplier for the design team by mentoring designers, reviewing work, and challenging assumptions—while creating the systems, interfaces, and processes that enable the company to scale high-quality Agentic Apps with speed, consistency, and confidence. REQUIREMENTS 7–10+ years of product design experience, with meaningful time spent on complex platforms, systems, or tools (B2B, SaaS, or AI-driven products strongly preferred) Demonstrated experience leading foundational or platform-level design work that scales across teams, products, or workflows Hands-on experience designing and shipping AI-powered features, workflows, or systems Proven track record of partnering closely with Product and Engineering in fast-paced environments Experience mentoring designers, influencing standards, and shaping how design work scales—without needing formal management responsibility Core Skills AI & Agentic Design Fluency: Strong understanding of AI-powered workflows, agentic systems, and emerging interaction patterns, with hands-on experience using AI tools to inform, accelerate, and enhance product design. Comfortable designing experiences shaped by models, context, and automation—not just static interfaces. Systems & Platform Design Expertise: Proven ability to design scalable systems, frameworks, and interfaces that support consistency, flexibility, and speed across complex product ecosystems. Deep experience working in Figma with structured libraries, reusable patterns, and scalable design foundations. End-to-End Product Design Craft: Excellence across UX, visual design, interaction design, and motion, with the ability to design sophisticated workflows that feel intuitive, human, and high-quality—especially in technically complex environments. Strong Product Thinking: Can clearly articulate problem → user job → system behavior → outcome. Comfortable designing flows where intent matters more than screens. Knows when not to add UI. Motion & Micro-Interaction Design: Strong understanding of animation as UX, not decoration. Uses motion to explain system state changes, communicate AI progress and confidence, and reduce perceived latency. Designs micro-interactions for loading → ready, generating → refining, and success/failure/partial results. Motion should make the system feel alive, responsive, and understandable—especially when AI is working in the background. Technical Collaboration & Prototyping: Strong comfort partnering with engineers, understanding technical constraints, and using prototyping (low- and high-fidelity, coded or no-code) to explore, validate, and communicate complex ideas. Design Leadership Without Authority: Ability to influence outcomes through clarity, critique, documentation, and example-setting—raising the bar for quality and consistency across teams without relying on formal management. Mindset & Approach High Autonomy: Does not need step-by-step direction. Can take a fuzzy problem and drive it to clarity. Comfortable owning an area end-to-end. Strong Judgment: Knows what's important vs. what's nice. Can say "this doesn't need design" or "this isn't worth solving yet." Optimizes for impact, not aesthetics. Clear Communicator: Explains thinking simply to PMs, Engineering, and Leadership. Writes clear rationale, not just design artifacts. Can disagree without being defensive. Comfort with Ambiguity: Does not freeze when requirements are incomplete. Enjoys shaping the problem space, not just executing tickets. Can operate before things are fully defined. Ownership & Accountability: Treats the product like theirs. Follows through. Cares about outcomes, not just delivery. AI-Forward & Curious: Actively experiments with AI tools, workflows, and emerging technologies, and brings that learning back to the team. Quality Advocate with Pragmatic Judgment: Cares deeply about craft and polish while understanding that perfect is the enemy of good. Knows when to push for excellence and when to ship, learn, and iterate. Design & Systems Tools Figma (expert level): Deep experience with scalable component architecture, variants, auto-layout, design tokens, and shared libraries Rive, FigJam, Figma Slides AI-Native Design Tools Hands-on, regular use of AI tools such as ChatGPT, Claude, or similar LLMs as part of your design workflow—for ideation, exploration, synthesis, critique, and system thinking AI-Assisted Build & Prototyping Comfort using tools like Cursor, Bolt, Lovable, Claude Code, or similar to prototype and experiment on AI-enabled experiences Familiarity with Storybook, React/Next.js Motion & Interaction Experience with Rive, Motion.dev, Framer Motion, GSAP, or D3 to design micro-animations and stateful interactions that communicate system behavior and progress Prototyping Strong comfort with Figma Prototypes, Framer, ProtoPie, or similar to explore behavior, timing, and interaction Technical Fluency Working knowledge of HTML, CSS, and modern frontend concepts, with the ability to read code, collaborate deeply with engineers, and understand implementation tradeoffs Collaboration Comfort with modern product development workflows: GitHub, Jira, Linear, Notion, Slack, Confluence Model Context Protocol (MCP) Familiarity with MCP concepts, including how context, memory, tools, and agents influence system behavior and user experience BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $160,000 - $180,000 depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-ND1 #LI-remote To apply: https://weworkremotely.com/remote-jobs/zeta-global-senior-product-designer-agentic-ai-applications
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Headquarters: Remote - United States About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. What You Will Do: Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows. Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably. Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough. Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy. Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences. Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers. About the Role: You have 7+ years of full-time software engineering experience and strong TypeScript proficiency. You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure. You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help. You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment. Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. To apply: https://weworkremotely.com/remote-jobs/vercel-member-of-the-technical-staff-internal-agent
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Sourcegraph | Remote | Full-Time | SWE, Tech Lead, Agent Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code creation, we help engineering teams understand, navigate, and safely change large codebases. Our products, including Code Search, Deep Search, MCP, and Agentic Batch Changes, give developers and AI agents cross-repository context and enable coordinated code changes across hundreds of repositories. Engineering teams at companies like Stripe, Reddit, and Leidos use Sourcegraph to ship faster with greater confidence. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Sourcegraph is backed by Sequoia, a16z, Redpoint, and Goldcrest. Apply here: https://grnh.se/0572f98b4us
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Headquarters: Serbia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with 130% year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission Smartcat positions itself as the central hub for managing your enterprise's multilingual content, seamlessly integrating diverse content assets. We offer convenient AI translation / content generation + Human review workflows to ensure best quality and faster turnaround. Your mission will be to own one of our most popular and business-critical tracks, related to translation and AI-based generation of textual content (we support over 50 document and file formats, including PDF and MS Office documents). The ability to create content directly on our platform is a new arm of this use case that we are just starting to build. You will work directly with clients to understand their pain points, ensure product-market fit, own the process of tracking usage data, define product improvement hypotheses, planning both a long-term roadmap and the day-to-day work to drive adoption, retention and expansion of translation and content generation volumes related to your use case. You will act as an entrepreneur whose goal is to achieve the breakthrough with all possible means, and will grow your part of the business, measured in the volume of words processed through the platform. Within 3 months, your outcomes will be You will have a product roadmap defined for the next quarter for the technical areas of the product you're responsible for, and own this roadmap and delivery schedule further. For each feature we ship and for each larger improvement track that spans multiple product areas, you will have a definition of key performance indicators and be accountable for their growth. You will own the acquisition funnel for this use case and understand the problems that matter the most. Together with the BI analyst, you will own dashboards to track your KPIs, as well as monitor other data sources and feedback channels, to inform your next steps and rapidly iterate to improve the product. Together with the designer and the team lead of a dedicated engineering team, you will own a process of developing new features, conducting customer interviews and ensuring proper execution with the engineering teams. Together with the Director of Product, you will align on the product strategy, get a solid understanding of how our product works, and establish a reliable product discovery & execution process. Requirements Outstanding achievement as a product manager for B2B SaaS platforms with a focus on product-led growth. At least 5 years of experience working as a product manager. Exceptional, native-level English, both written and spoken. Exceptional communication skills to interact with colleagues, customers, and partners. Experience working on projects related to document processing is a strong plus. Experience working on customer-facing user interfaces (either in B2B or B2C products) is a strong plus. Knowledge of modern developments in ML/AI related to text processing (LLM, RAG) and overall technical background is a strong plus. Knowledge of a localization industry is a strong plus. Growth-oriented mindset. Integrity, full commitment, and a strong sense of ownership. Experience working in a highly intense startup environment, requiring extreme focus, a sense of urgency, and persistence to break through. Openness to feedback and alternative opinions and ideas. Comfortable working with remote teams across time zones. Easy-going personality, high tolerance to cultural differences. Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30+ countries. We have been fully remote since 2020, with some locations populated with more Smartcaters than others, such as Boston, Belgrade, Lisbon, Tbilisi and Yerevan. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment. To apply: https://weworkremotely.com/remote-jobs/smartcat-senior-product-manager
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Headquarters: Toronto Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Role Overview We are seeking a Platform Experience and Developer PM to own how developers and enterprise technical teams build on, integrate with, and operate Cohere's model platform. This is a high-leverage role sitting at the intersection of three domains: Managed Services and Models as a Service. Own Cohere's managed service offerings as a product. This is broader than model serving alone. It includes the full range of how enterprises consume and operate Cohere's capabilities, from shared multi-tenant model access to dedicated single-tenant deployments, and from synchronous real-time inference to high-volume asynchronous workloads. You will own the product thinking around deployment models, data residency and regional compliance requirements, self-serve provisioning, and the operational controls that give enterprises confidence in running production workloads on Cohere’s infrastructure. API and SDK. Own the roadmap for how developers build on Cohere. This means setting the direction for our APIs and SDKs, thinking carefully about interface design and ergonomics, and ensuring we ship developer primitives that are stable, well-documented, and a joy to build with. Developer Experience and Tooling. Own the surfaces that give developers visibility and control over their integration with Cohere. This includes the API console, credential and access management, usage and cost visibility, request observability, and sandbox and testing environments Responsibilities Drive the roadmap across managed services, APIs, SDKs, and developer tooling, balancing near-term customer needs with long-term platform investment. Translate model and infrastructure capabilities into well-designed product surfaces that developers and enterprise operators can rely on. Engage directly with customers and developers to understand integration challenges, validate priorities, and surface unmet needs. Define success metrics for platform health and developer experience, and lead initiatives to move them. Partner with engineering, research, technical writing, and developer relations to ship and document platform improvements. Requirements 5+ years of product management experience, with meaningful time spent owning developer-facing or platform-layer products such as APIs, SDKs, developer tools, or technical infrastructure. Strong technical fluency with API design and SDK development, including an understanding of versioning, backward compatibility, and what makes a developer experience feel polished and reliable. A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. Experience building or owning developer tooling surfaces such as consoles, dashboards, usage analytics, or observability and debugging tools. Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions. Strong collaborator who works well across engineering, design, infrastructure, and GTM teams, and who can communicate technical tradeoffs clearly to a range of stakeholders. Highly execution-oriented with a bias toward shipping and iterating quickly. Demonstrated ownership across the full product lifecycle — from problem definition and scoping through launch, iteration, and eventual deprecation or migration. Nice-to-Haves Experience owning a model serving or inference platform, including familiarity with deployment models such as multi-tenant and dedicated infrastructure. Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products. Familiarity with asynchronous and high-throughput workload patterns, and the product considerations they introduce around job management, status visibility, and cost attribution. Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns. Why join Cohere? Impact: Shape the developer surface of one of the world's leading enterprise AI platforms, used by developers and enterprises building production AI systems at scale. Innovation: Work alongside leading researchers and engineers solving complex ML challenges at the frontier of AI. Growth: Enjoy competitive compensation, equity options, and opportunities for professional development. Flexibility: Hybrid work model with offices in San Francisco, New York, and Toronto. Location Remote or hybrid (San Francisco, New York, Toronto). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!) To apply: https://weworkremotely.com/remote-jobs/cohere-product-manager-platform-experience-developer-product
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Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll ship product across the full NetworkOS stack — Kotlin/Spring Boot microservices through Next.js/React interfaces — keeping the platform reliable, performant, and architected for 10x growth in regulated enterprise and defense environments. This is a hands-on execution seat on a small, senior team. You'll own complete vertical slices from database schema to UI, with no cross-team handoff gaps and no "not my layer" excuses. Your code commits move the roadmap — and your work is visible from day one. Whole-stack ownership. Production every week. Code that moves the roadmap. What You'll Do Deliver features end-to-end — own complete vertical slices (PostgreSQL schema, Kotlin service, GraphQL contract, Next.js UI) and ship production features without waiting on handoffs Own core API and service health — design and maintain GraphQL and REST APIs with clean domain boundaries, keeping latency low and reliability high under growing load Master the data layer — design PostgreSQL schemas, optimize queries for scale, manage zero-downtime migrations with Liquibase, and build effective caching strategies Ship with confidence — comprehensive test suites (unit, integration, contract, UI) at 80%+ coverage, with CI/CD quality gates that catch problems before production Build resilient systems — structured logging, distributed tracing, custom metrics, circuit breakers, and graceful degradation patterns Elevate the team — mentor mid-level and junior engineers through code reviews, architectural discussions, and pair programming Automate with agents — build agentic primitives that make everyday full-stack work faster; AI-native development is how we work, not a side experiment Our Tech Stack Backend: Kotlin, Spring Boot, Ktor, Gradle; GraphQL (Netflix DGS); REST/OpenAPI Frontend: Next.js (App Router), React, TypeScript; Turborepo; Tailwind CSS + shadcn/ui Data Layer: PostgreSQL, Liquibase, Kafka, DynamoDB, Amazon S3 AI Integration: Python, FastAPI (LLM-powered service touchpoints) Infrastructure: Docker, Kubernetes (AWS EKS), Helm, ArgoCD CI/CD: GitHub Actions, Codecov, Snyk Observability: DataDog (APM, logs, tracing), OpenTelemetry Security: AWS KMS, AWS Secrets Manager, Auth0 What We're Looking For Must-Haves 5+ years of professional software engineering experience, backend-weighted with real production frontend contributions Strong proficiency in Kotlin and Spring Boot (or Java/Spring with willingness to adopt Kotlin) Working proficiency in TypeScript and React (Next.js preferred) — able to ship UI features within an established design system Solid experience with Python and modern frameworks (FastAPI preferred) Experience with PostgreSQL, relational database design, and migration management Proven track record in continuous delivery environments with automated testing Hands-on Docker, Kubernetes, and AWS; strong grasp of microservices patterns, API design, and distributed systems AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance) Nice-to-Haves GraphQL API development and schema design at scale LLM/AI integration patterns (structured outputs, LLM workflow orchestration) Security-conscious development and compliance frameworks (SOC 2, NIST 800-171/800-53) Depth in AWS services (EKS, RDS, S3, Secrets Manager) and DataDog observability Greater Twin Cities, MN based Open-source contributions or active technical community involvement Why Join Collaboration AI? Work that matters. We build AI-powered solutions for defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand the most trustworthy software. AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily. You'll push the boundaries of what AI tooling can do across the full stack. Real ownership. High-autonomy culture on a small, senior team. You'll own outcomes end-to-end — and your work will be seen, used, and valued. Modern stack, no legacy drag. Cloud-native Kubernetes infrastructure, Kotlin and Next.js, continuous delivery — built for growth, not maintenance mode. To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-software-engineer
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Headquarters: Remote URL: https://www.samsara.com/ About the role: Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We're still early in turning that data into the products that will define how physical operations run, and we're hiring the engineers who will build what comes next. We're approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale. We're looking for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform and product, and we're open to shaping scope around the right person's strengths and interests. That window won't stay open long. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn't metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor. You want to build, not maintain. Samsara is in full growth mode. We're building new systems from scratch, not babysitting old ones. You'd own entire problem spaces end to end, with the autonomy to set direction from day one. You want to work where AI meets the physical world. Samsara has spent a decade building the largest proprietary dataset for physical operations. More connected assets generate more data, more data trains better models, better models drive more value, and more value wins more assets. The market and the opportunity here are what set us apart, not just the models. You believe customers are more than a number. Samsara engineers have a rare closeness to end users. You'll participate in customer interviews, collaborate with product managers and customer success, and use that context to build products that solve real problems operators face every day. You have the curiosity and drive to figure it out. We're looking for people who take pride in their work and get things done at all costs. The engineers who thrive here don't wait to be told what to build. They define it, ship it, and own the outcome. The rate-limiting step on our teams isn't tooling or process. It's ambition. In this role, you will: Take ownership of technically complex, mission-critical areas and run with them. We want to point you in a direction and show up to the demo meeting impressed, not spend our weeks managing the details. Define and drive technical strategy for new products and platform capabilities, from backend services and APIs to the customer-facing UI. Design and ship full-stack features end to end. You'll work across backend, frontend, and potentially mobile to deliver AI-powered products that solve real operational problems. Partner with product, design, and customer-facing teams to translate ambiguous, real-world problems into clear technical plans and measurable outcomes. Build and scale the systems behind AI-driven products, including data ingestion, APIs, and the workflows that put intelligence into the hands of operators. Raise the bar for the engineers around you through code reviews, design reviews, technical mentorship, and by setting a standard for quality, velocity, and craft. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 8+ years of experience in software design and development, including building and operating production systems at scale. Strong full-stack fundamentals. You're comfortable working across backend services, APIs, and frontend (web or mobile) to ship complete products. Proficiency in modern languages and frameworks (Go, Python, TypeScript/JavaScript, React, or similar). Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable impact. Experience building AI-powered or data-driven products. You don't need to train models, but you know how to take AI capabilities and turn them into products customers love. Strong communication skills and the ability to translate between technical and non-technical stakeholders. A track record of building: zero-to-one products, systems you left in a meaningfully better place, or hard problems you refused to let stay unsolved. An ideal candidate also has: Experience shipping AI-powered features in production, whether that's LLM-based products, agentic workflows, recommendation systems, or other customer-facing AI. Comfort with modern AI-augmented development workflows (Cursor, LLMs, etc.) to multiply your output and accelerate delivery. Background working with real-world operational data (telematics, sensor data, work orders, inspections) or a strong interest in learning the domain. A proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team. Side projects, open-source contributions, or other signals of curiosity and drive outside the scope of your day job. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $162,400 — $290,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. To apply: https://weworkremotely.com/remote-jobs/samsara-staff-software-engineer
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Headquarters: Remote - USA About the Role Abnormal AI is looking for an Application Security Engineer II to secure the AI-powered systems at the core of our AWS-based platform (LLM-integrated features, agentic workflows, MCP connectors, and the model supply chain) against threats like prompt injection at production scale. This is an individual contributor role that blends deep application security expertise with strong engineering fundamentals. You'll focus on integrating security into every phase of our software development lifecycle, conducting comprehensive security reviews, and partnering with engineering teams to build defensible architectures. You will own the security architecture and development of secure coding practices while ensuring security is a foundational partner to our engineering stakeholders. You'll coach developers across the engineering organization on application security principles, act as a technical liaison across teams, and contribute directly to keeping our applications and customers secure. This role reports to the Director of Security Engineering. What you will do Lead threat modeling and security architecture reviews with engineering teams by translating security risks into concrete development actions, with particular focus on AI-powered features (LLM integrations, agentic workflows, MCP connectors). Architect, build, and maintain security tooling and integrations that make secure development the default in our CI/CD pipelines. Design and deploy automated security testing to identify vulnerabilities early in the development process. Serve as a hands-on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes. Coach developers on secure coding, security architecture, and threat modeling for AI-native systems. Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends. Must Haves 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments with modern development practices. Experience securing AI/ML-powered systems, or a clear ability to ramp fast on prompt injection, model supply chain, and agentic-workflow risks. Strong programming skills in Python, Go, Java, or JavaScript/TypeScript. You write and read production code, not just review it. Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design, including securing modern architectures (microservices, containers, cloud-native). Hands-on experience threat modeling and running security architecture reviews. Proven ability to influence and collaborate cross-functionally with engineering, DevOps, and product teams, with strong written communication. Nice to Have Experience working in fast-paced or startup environments, comfortable defining scope in a growing security program. Hands-on experience with commercial security tools (Veracode, Checkmarx, SonarQube, Wiz, Semgrep, Burp Suite) Prior experience building security telemetry pipelines or vulnerability management frameworks. Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability. Familiarity with bug bounty programs and vulnerability disclosure processes. #LI-PP1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $130,100 — $187,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here . To apply: https://weworkremotely.com/remote-jobs/abnormal-application-security-engineer-ii
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Headquarters: Austin, TX URL: https://edfinity.com About Edfinity Edfinity is the category leader in courseware and assessment technology for higher-ed STEM. We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're growing fast and leading the field in AI-powered courseware that moves the needle on educator productivity and student outcomes. Your work will reach hundreds of institutions, and you will help decide how it gets built. How we work We're fully remote, with team members distributed across the US, and with that comes personal flexibility and accountability. AI agents produce most of our code. We move fast, but we temper velocity with quality and stability above all else. Engineers frame the problems, direct the work, and are accountable for everything that ships. If you already work this way and have opinions about it, you'll feel at home. Everyone has opportunities to work across different areas of the platform, and team members are expected to develop deep technical expertise over time. This is particularly important as we step away from hands-on coding. We're a small team of collaborative senior engineers. Your opinion matters. The pace of change is real. More than ever, we're continually evolving our tooling and workflows as LLMs become more capable. What you’ll be doing Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React. Full-stack product development in areas like assessment authoring, delivery, and grading; educator and student-facing features; LMS integrations LLM-powered features, from prompt architecture to auto-grading to eval infrastructure Performance optimization and reliability refactoring to handle both day-to-day load and high-stakes spikes Stewardship of a mature codebase: upgrades, migrations, and paying down technical debt methodically Part-time technical support rotation. Customer happiness is extremely important to us. What you'll need 8-15 years building and running scalable production web applications and services Deep experience with Rails Experience with web front-ends such as React Recent experience in an SDLC revolving around the use of AI agents Strong CS fundamentals in systems, data modeling, and complexity Excellent communication hygiene, collaborative skills, and strong sense of self-direction. Interest in a long-term seat on a close-knit team. Authorization to work in the United States. We are not able to sponsor or transfer work visas at this time. Compensation $135,000-$195,000, plus eligibility for an annual discretionary bonus, retirement plan, and PTO To apply: https://weworkremotely.com/remote-jobs/edfinity-senior-software-engineer-remote
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Headquarters: We are seeking an AI Engineer to develop AI-first applications and integrate custom models and infrastructure into an existing e-commerce platform. The role focuses on building agent-led product experiences, including internal automation, dynamic site customization, and customer-facing conversational commerce workflows. General information This engagement supports an e-commerce startup building a platform around conversational design and intelligent automation. The current objective is to extend the existing product with AI-native capabilities while building on top of the current backend and application stack. The work includes three core initiative areas: an internal AI employee for operational tasks, a fluid site customizer, and a customer-facing commerce agent designed to support one-prompt checkout experiences. The role will involve model integration, infrastructure setup, and product-facing implementation across both backend and UI surfaces. Tasks and Deliverables - Develop AI-first applications for an existing e-commerce platform. - Architect and implement autonomous e-commerce AI agents using open-source and proprietary foundation models. - Establish GPU infrastructure and data pipelines for model fine-tuning and deployment. - Integrate AI workflows with the existing stack, including MongoDB, Node.js, Express, React, and third-party APIs. - Build conversational UI components and backend logic for one-prompt checkouts and dynamic site customization. Required Experience - Strong expertise in AI/ML engineering and LLM integration. - Hands-on experience fine-tuning open-source models such as Llama or Mistral. - Experience building autonomous agents and conversational AI workflows. - Solid background in GPU infrastructure setup and optimization for training or inference. - Full-stack proficiency with MongoDB, Express, React, and Node.js. - Experience integrating REST APIs into production applications. Nice to have: - Familiarity with Stripe, Twilio, or OpenAI API integrations. To apply: https://weworkremotely.com/remote-jobs/toptal-ai-ml-engineer-for-an-ai-driven-e-commerce-platform
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Flywheel Motion ( https://flywheelmotion.com/?utm_source=hackernews ) | REMOTE (worldwide) | Contract We build authority infrastructure for people whose expertise has outgrown their digital presence — founders, scientists, operators. Positioning and narrative first, then the sites, content pipelines and distribution that make it compound. The delivery layer is agentic: Claude Code, Cursor and Aider doing the build work, humans holding editorial judgement and the client relationship. Engagements are scoped rather than staffed by the hour, so the work is contract and senior-weighted. Open now: - Sr Agentic Engineer — Claude Code / Cursor / Aider across the FM stack: member site infrastructure, content automation pipelines. TypeScript, system architecture, comfortable scoping a problem before writing code. - AI-Native Tech & Growth Director — owns the platform and the agentic build system behind member launches. 8+ years technology leadership. - Agentic Operations Coordinator — the bridge between strategy and build: Claude Code site builds, prompt development and tool evaluation, SEO and distribution testing. Also open: brand strategy, editorial production, PR, design and copywriting. All roles: https://flywheelmotion.com/en/careers/?utm_source=hackernews...
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Headquarters: Los Angeles URL: https://wonderdoghealth.com/ Wonder Dog is a preventative health platform for dogs. We send licensed vet techs to your home for a blood draw, run a 40+ biomarker panel through a national lab, and turn the results into something owners can actually act on. We're a small team with paying customers, and you'd be working directly with the founder and our lead engineer. How we work AI coding agents do most of the typing here. Your job is to direct them, review the output, and make sure what ships is right. You pick up a ticket, ship it, verify it, and move on. Few meetings, no ceremony. What you'll do Ship customer-facing features end to end: UI, API, database Work a prioritized backlog across checkout, booking, onboarding, and mobile Own quality. If it's not tested and working, it's not done Tell us when we're wrong. We'd rather hear it early You're probably a fit if You've shipped full-stack TypeScript products that people paid for AI agents are already how you work, not something you're curious about You like autonomy and hate process for its own sake To apply Send us something you shipped recently, resume & github link To apply: https://weworkremotely.com/remote-jobs/wonderdog-full-stack-product-engineer-agentic-first
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Headquarters: Remote Location: City/Hybrid/Remote Reports to: CTO Interfaces with: CEO, COO, Professional Services, Engineering, Sales, Marketing, and Vendors Why AllenComm With over 40 years of excellence in corporate learning innovation, AllenComm has helped Fortune 500 and 1000 organizations transform employee development through award-winning instructional design and technology. Today, we are redefining enterprise learning through AI-driven modernization, strategic partnerships, and data-powered personalization. As our AI Product Director, you will be at the forefront of transformation bridging legacy systems, new technology, and client-centered innovation. About the Role AllenComm is seeking a hands-on AI Technical Product Director to lead the transformation of our HR and Learning & Development (L&D) solutions through AI strategy, implementation, and partnership development. This role sits at the intersection of product innovation, technology integration, and go-to-market enablement. You’ll drive modernization of AllenComm’s platforms, guide adoption of AI technologies, and collaborate across teams to turn our professional services into scalable, AI-powered enterprise solutions. The ideal candidate blends strategic vision with operational execution—comfortable crafting product roadmaps, experimenting with AI tools, and coordinating across internal and external stakeholders to deliver measurable business value. Key Responsibilities AI Transformation & Legacy Modernization • Lead the evolution of AllenComm’s legacy systems into scalable, AI-enabled platforms. • Pilot and implement Microsoft’s AI technologies (Copilot, Azure OpenAI, Power Platform) into existing systems, workflows, and client solutions. • Establish frameworks for AI governance, data ethics, compliance, and performance monitoring of AI systems. • Collaborate with engineering and operations to ensure secure, efficient, and sustainable AI infrastructure. Market, Sales, and Competitive Intelligence • Partner with Sales, Marketing, and Client Strategy to translate client feedback, trends, and analytics into actionable product insights. • Conduct ongoing competitive research to identify differentiators, white space opportunities, and potential strategic partners. • Use market and performance data to shape roadmap priorities, value propositions, and pricing models. Partnership Management & Ecosystem Development • Develop and manage partnerships with leading AI technology providers and Microsoft ecosystem partners. •Evaluate and onboard vendors or tools that complement AllenComm’s AI product portfolio. •Act as the primary liaison with external AI partners to ensure alignment on product vision and co-development opportunities. Product Leadership & Delivery •Define and communicate a clear product vision, roadmap, and success metrics for AI-driven HR/L&D solutions. • Lead discovery, MVP design, and iterative releases with internal teams and external vendors. • Collaborate cross-functionally to translate services into productized, AI-driven features and solutions that expand AllenComm’s market reach. • Report regularly on progress, adoption, and business impact directly to executive leadership. What You’ll Bring • 6–8 years of product management experience, with at least 2 years in AI/ML or enterprise SaaS. • Proven experience migrating legacy systems or platforms to AI-driven architectures. • Familiarity with Microsoft AI technologies (Azure OpenAI, Copilot Studio, Power Platform). • Background in HR tech, learning technologies and workforce enablement platforms . • Experience with vendor management, partnership development, and cross-functional collaboration. • Strategic and hands-on leadership style—comfortable moving from vision to execution. • Excellent communication and executive presentation skills. To apply: https://weworkremotely.com/remote-jobs/allencomm-ai-technical-product-director
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Headquarters: Sweden URL: http://career.proxify.io The Role: We are seeking a Senior Ruby on Rails Developer who treats software engineering as an art form and a discipline. In this role, you will lead the development and scaling of highly responsive, business-critical web applications. You won't just build features; you will optimize system architectures, manage complex domain models, and champion engineering practices that keep codebases sustainable over long lifecycles. We look for developers who understand the core principles of software craftsmanship and can leverage modern technologies—like AI development workflows—to compress delivery timelines without compromising code quality. If you are an active contributor to the broader tech community and are obsessed with writing clean, expressive Ruby, you will thrive here. What we are looking for: 5+ years of production experience writing object-oriented Ruby and scaling robust Rails applications. Strong command over architectural patterns, domain-driven design, data modeling, concurrency, caching strategies, and API security protocols. You value automated testing (RSpec/Minitest) as a critical design tool. Proven ability to integrate AI development tools (such as GitHub Copilot, Cursor, or specialized LLM agents) into your daily engineering workflow. We value engineers who use AI to accelerate boilerplate writing, refactoring, and test generation, while maintaining the critical eye needed to debug and validate the outputs. A history of interacting with or contributing directly to the open-source community—whether that means maintaining custom gems, submitting PRs to public repositories, or actively contributing to the Rails ecosystem. Hands-on experience optimizing PostgreSQL databases, managing background processing via Sidekiq, and deploying containers with Docker into cloud native environments (AWS/GCP/Heroku). Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones. Responsibilities: Design and maintain modular, testable, and highly performant backend architectures that support complex business domains. Pioneer the adoption of AI-assisted coding practices within the team, demonstrating how to use modern generative tools to double execution speed safely. Identify and eliminate N+1 queries, tune database indexes, and optimize memory consumption to ensure low-latency application responses. Conduct meaningful code reviews that elevate the team's engineering bar, ensuring adherence to the Ruby Style Guide and SOLID design principles. Bring public open-source best practices into our private repositories, keeping our internal tools modern, secure, and maintainable. What we offer: Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies. Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify. To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-ruby-on-rails-developer-ai-augmented-engineering
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Viteus | Contract Engineer Opportunities — AI Production Support (Full-Stack, AI/ML, QA, DevOps) | REMOTE | Contract Viteus is Alteus's production support service for AI-built applications, delivered in partnership with vitX. We work with enterprises and scale-ups across APAC to audit, refactor, and support AI-built apps in production. When we win client engagements, we match contractors from the network onto projects based on skills fit, availability, and role requirements. The Opportunity: We are inviting independent contractors with experience across the following disciplines to register interest for matching against upcoming client engagements: Full-Stack Engineering
AI/ML Engineering
QA / Test Engineering
Test Managers / Test Leads
DevOps Engineering
Matched contractors are typically paired onto 1-week Express Audits or multi-week refactor and production support engagements, working alongside senior Tech Leads, Delivery Managers, and vitX Delivery Leads. What You Will Do Work on production-grade AI applications for enterprise clients across APAC.
Contribute to audit deliverables: risk shortlists, architecture assessments, vulnerability lists, smoke tests, AI risk flags.
Support refactor and stabilisation work on AI-built apps handed over from client teams.
Operate day-to-day inside a modern AI toolchain — Claude Code, Cursor, GitHub Copilot, agent frameworks, and MCP-based workflows are standard.
Report into a senior lead who owns delivery quality and client communication
create and register your profile as an expert here:
https://connect.alteus.net/
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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior – Digital Role : GenAI / Agentic AI Evaluation Engineer (Quality, Safety & Reliability) Position Details As part of EY GDS Assurance Digital, you will help design, build, and scale a standardized evaluation capability, focused on evaluating GenAI, RAG-based, and Agentic AI solutions before deployment. This role sits at the intersection of AI evaluation engineering, Responsible AI, and GenAI security/red teaming. The primary objective is to ensure GenAI/agentic systems are safe, reliable, robust, and fit-for-purpose, by designing evaluation strategies, building repeatable test harnesses, and generating auditable evidence that supports go/no-go decisions. You will work with global stakeholders (product teams, solution architects, risk & compliance, and assurance leadership) to define evaluation requirements, request test datasets from product teams, execute rigorous evaluations (functional + non-functional), and recommend mitigations and controls to reduce risk. This is a core full-time role that requires a hands-on AI Development mindset, strong evaluation mindset, and the ability to translate risk concerns into practical testing strategies and measurable acceptance criteria. Responsibilities Define and operationalize evaluation strategies for GenAI systems across use cases like Q&A assistants, summarization, extraction, drafting, agentic systems, and multi-step workflows. Translate business use-cases into a structured evaluation plan: scope, assumptions, success criteria, datasets, metrics, red-team scenarios, thresholds, and reporting requirements. Drive standardization: reusable evaluation templates, test case libraries, scoring rubrics, and reporting formats across product teams. Design structured dataset requirements for product teams and ensure coverage across: Core user journeys and primary business intents Edge cases (rare prompts, ambiguous queries, incomplete context) Adversarial cases (malicious prompts, jailbreak attempts, prompt injections) Bias & fairness cases (sensitive demographic proxies, protected attributes, stereotyping patterns) Define guidance for dataset sufficiency and statistical coverage (e.g., minimum samples, distribution balance, scenario matrices, stratification by intent/risk). Build reusable evaluation pipelines for: Answer quality (correctness, relevance, completeness, clarity) Grounding & faithfulness (RAG-specific: faithfulness, context precision/recall, hallucination rate, citation quality) Agentic behavior (tool-call accuracy, tool misuse, goal completion, step correctness, unnecessary actions, loop detection, safety of tool outputs) Operational quality (latency, cost/token budget, throughput, stability, retries, failure recovery) Combine LLM-as-judge and human evaluation in a calibrated way (rubric design, sampling plans, agreement checks). Implement automated evaluation harnesses in Python (preferred), enabling: batch runs on scenario suites configurable metric definitions reproducible runs with run IDs and artifacts storage of traces and outputs for auditability Execute structured red teaming aligned to OWASP Top 10 for LLM Applications, covering (examples): Prompt injection (direct + indirect) and tool hijacking Sensitive data disclosure / PII leakage Insecure output handling (downstream injection) Training data leakage / memorization probes Model denial-of-service / denial-of-wallet patterns Integrate evals into development lifecycle: pre-release regression gates, CI checks, benchmark comparisons across model versions/prompts/tools/retrievers. Perform adversarial testing for agentic workflows: tool misuse / over-permissioned tool access unauthorized action execution exfiltration via tools/connectors prompt injection via retrieved documents (RAG poisoning) Recommend mitigations: input validation, retrieval filtering, tool sandboxing, least-privilege permissions, guardrails, policy prompting, refusal logic, output encoding, monitoring alerts. Produce high-quality evaluation reports that are auditable and decision-ready, including: methodology, datasets, metrics, thresholds quantitative results qualitative results risk assessment summary and recommended control actions Present findings to stakeholders in a crisp, risk-informed manner; clearly explain residual risk, limitations, and rationale for go/no-go. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor’s or a master’s degree in data science, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. 4–7+ years of relevant experience in one or more areas: ML/AI/GenAI/Agentic engineering (NLP/LLMs), evaluation engineering, applied research security testing / red teaming building and designing evaluation harness that ensures safety, reliability and robustness. Strong hands-on Python for building evaluation harnesses (data processing, metric computation, orchestration, reporting pipelines). Practical understanding of GenAI system architectures: RAG, embeddings/vector search, prompt orchestration, tool calling, multi-agent systems, memory, routing. Experience designing metrics and evaluation methods (rubrics, automated scoring, sampling strategy, regression design). Familiarity with LLM risks and mitigations, especially for enterprise contexts (data leakage, hallucinations, prompt injection, unsafe content, bias). Security / Red Teaming Skills (Strong Preference) Understanding of OWASP Top 10 for LLM Applications and how to translate it into test cases and controls. Experience with adversarial testing approaches: jailbreak prompts, injection patterns, tool misuse scenarios, retrieval poisoning patterns. Familiarity with secure-by-design practices for LLM apps: least privilege, safe tool invocation, output encoding/validation, monitoring. Evaluation frameworks and tooling: RAGAS, DeepEval, LangSmith, Phoenix/Arize, custom eval harnesses. Experimentation practices: A/B testing mindset, baseline comparisons, statistical rigor for sample sizes. Observability/tracing: structured logging, OpenTelemetry, Langfuse-style traces, dashboards. Basic DevOps practices: Git, CI/CD, containerization (Docker), reproducible environments. Strong written communication to produce clear evaluation plans and reports for technical + non-technical stakeholders. Ability to challenge assumptions constructively (“effective challenge”) and influence engineering teams toward remediation. Comfort operating in ambiguity with fast-evolving GenAI tooling and risk landscape. Preferred / Nice-to-Have Experience in Assurance/Finance/Regulatory environments (model validation, risk acceptance workflows, audit evidence mindset). Familiarity with responsible AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act concepts). Experience evaluating multilingual systems or domain-heavy enterprise assistants. Hands-on with Azure ecosystem (Azure OpenAI, AI Search, Function Apps, App Insights, Key Vault). Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Professional Services Referrals increase your chances of interviewing at EY by 2x See who you know
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Prophet Town LLC | Various Software Engineering Roles | US – Remote and Hybrid | English fluency required | Full-time | $150K-$260K annual total comp (multiple) We are a people-first, boutique tech agency creating on-demand teams and software solutions for long-standing clients. These clients trust us to practice engineering excellence as though we were members of their own staff. Our leadership team is ex-Fortune 100 with software engineering backgrounds: we’re still coding. Notable recent projects include a gigantic ERP migration for Anduril, and working with Surge Labs to help develop some of the frontier LLM models themselves (yes, seriously). This is a remote-first agency, but some projects involve onsite work. I’m the founder and CEO, and I’m trying to do what I call “enlightened business”. I take responsibility for both staff and clients, and I look for people who approach their work with a similar sense of ownership.
Applicants must meet a high bar - I personally review every hire. In return you’ll get: * Flexibility and a low-bureaucracy environment
* Clients that won’t treat the vendor like “the B Team”
* The chance to act as a code architect, not just implement tickets
* Exposure to a wide variety of industries and modern challenges
* Me as your personal champion and advocate
Feel free to submit, even if you already did in the past. We’re currently especially seeking: * Back-end, Front-end, and Full-Stack Software Engineers, Tiers 3 and 4
(Typescript/Javascript, React, NextJS; Ruby on Rails; Python; DevOps, and third-party API integrations) Tier 3 roles are typically 5-10 years experience with $150-$180K total comp. Tier 4 roles are 11-20 years experience, $215-$260K total comp. Higher tiers exist, and we always welcome exceptional applications. Though not yet universal, many of our clients are now demanding senior/staff engineers with success using modern agentic approaches. Be ready to explain where current models work well and where they do not. Please apply using this Google Form: https://forms.gle/R5b8FaGEM7CSJzsC7 Also because posting some visibility has been popular with you guys:
* We got 170 responses to our July HN Who's Hiring, and made 3 offers.
* We're hoping to hire about 5 people before August 31, even though we're starting a little late.
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CareerJumpShip | Multiple engineering + go-to-market roles from live ATS pools | Remote-first | https://www.careerjumpship.com Hi HN — I run CareerJumpShip.com, a free job board that surfaces active roles from Greenhouse / Lever / Ashby ATSes (no reposts, no stale listings). Every posting links directly to the company's own application. Below is a snapshot of the top-hiring companies on the board this August 2026, one representative role per company: - *Anduril* (16 roles) — Senior Full-Stack Software Engineer, SIG , Santa Ana, California, United States · $6–$253K — https://www.careerjumpship.com/jobs/senior-fullstack-enginee...
- *crunchyroll* (13 roles) — Senior Manager, Platform Development, San Francisco, CA, United States · $10–$285K — https://www.careerjumpship.com/jobs/senior-manager-platform-...
- *doitintl* (10 roles) — Project Manager, Remote — https://www.careerjumpship.com/jobs/project-manager-doit-980...
- *encora10* (10 roles) — Support Team Lead, USA — https://www.careerjumpship.com/jobs/support-team-lead-encora...
- *OpenAI* (10 roles) — Customer Learning Program Lead, Remote · $266K–$300K — https://www.careerjumpship.com/jobs/customer-learning-progra...
- *Datadog* (9 roles) — Staff Applied Scientist - Agentic Interfaces, New York, New York, USA · $10–$345K — https://www.careerjumpship.com/jobs/staff-applied-scientist-...
- *esri* (9 roles) — Solution Architect – ArcGIS Enterprise (Defense & Intelligence), Redlands, CA · $8–$198K — https://www.careerjumpship.com/jobs/solution-architect-arcgi...
- *gleanwork* (9 roles) — Software Engineer, Data Foundations, San Francisco, CA · $50–$265K — https://www.careerjumpship.com/jobs/software-engineer-data-f... Browse the full list (refreshes weekly): https://www.careerjumpship.com/jobs?utm_source=hn
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Financial Services Referrals increase your chances of interviewing at Capital One by 2x See who you know
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Dave Evans | Founding Engineer | Remote | Full-time | $170k-$210k + meaningful equity I’m hiring the first senior engineering hire for an early-stage multi-agent product. This is for a senior backend/platform builder who still likes shipping product, not just designing systems. The work is a mix of orchestration, integrations, reliability, auditability, and getting useful workflow automation into users’ hands quickly. You’d work directly with me to turn a strong technical direction into a dependable product. Best fit: 6+ years shipping end-to-end, strong backend judgement, product range, low-ceremony style, and comfort with ambiguity. Helpful if you care about retries, tool boundaries, observability, and human override in AI systems. Comp is in the $170k-$210k base range with meaningful equity. If that sounds like your lane, email dave@evanlee.co.uk with a short note and links to shipped work.
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work, Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. Our Business Transformation team is looking for an AI Agent & Automation Developer. The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations. We are seeking a talented and motivated AI Agent & Automation Developer to join our team. The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational excellence. This role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be adaptable, collaborative, and eager to learn new technologies to address multifaceted business problems. A successful candidate is a proactive problem-solver with strong software engineering skills, ready to thrive in a fast-paced environment and communicate effectively with both technical and business stakeholders. As An AI Agent & Automation Developer, You Will Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks. Develop agent architectures that support autonomy, interactivity, and task completion. Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools). Collaborate with researchers, engineers, and product teams to iterate on agent capabilities. Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as: Prompt Engineering – injecting information directly into prompts. Fine-tuning – training models on additional data to embed knowledge (where applicable). Retrieval-Augmented Generation (RAG) – embedding documents into vector databases and retrieving semantically relevant information. Tool Use – leveraging sub-agents or deterministic models to locate and add relevant context. Hybrid Approaches – combining two or more methods to maximize reliability and relevance. Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms. Maintain thorough documentation of agent logic, design decisions, and dependencies. Stay up to date with industry developments and advancements in AI, machine learning, and agent-based technologies. Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel SDK. Build and deploy enterprise-grade Copilots using Microsoft’s orchestration tools, enabling seamless interaction across Microsoft 365, Dynamics, and custom business applications. What You Bring To The Role Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field. Proven experience in agent-based systems, or intelligent automation, with a minimum of 2 years in a similar role. Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch). Understanding of agent-based modeling, multi-agent systems, or reinforcement learning. Experience building applications with LLMs or generative AI models. Familiarity with API development, backend services, and deployment pipelines. Ability to work independently in experimental and fast-paced environments. Excellent communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders. Analytical mindset with the ability to solve complex problems and make data-driven decisions. Demonstrated understanding of data quality, integrity, and systems integration. What You Can Expect From Us Our shared values that foster inclusion and belonging including uncompromising integrity, collaboration, trust, and mutual respect The opportunity to innovate and do work that motivates and engages you A collaborative environment focused on enabling you to further your career growth and continuous professional development Competitive compensation and a total rewards package that focuses on all aspects of your wellbeing Flexibility to do impactful work and the time to enjoy your life outside of work Opportunities to connect and learn from professionals from different backgrounds and with different cultures Benefits Information Cherry Bekaert cares about our people. We offer competitive compensation packages based on performance that recognize the value our people bring to our clients and our Firm. The salary range for this position is included below. Individual salaries within this range are determined by a variety of factors including but not limited to the role, function and associated responsibilities, a candidate’s work experience, education, knowledge, skills, and geographic location. In addition, we offer a comprehensive, high-quality benefits program which includes annual bonus, medical, dental, and vision care; disability and life insurance; generous Paid Time Off; retirement plans; Paid Care Leave; and other programs that are dedicated to enhancing your personal and work life and providing you and your family with a measure of financial protection. Pay Range $117,400-$172,500 About Cherry Bekaert Cherry Bekaert, ranked among the largest assurance, tax and advisory firms in the U.S., serves clients across industries in all 50 U.S. states and internationally. For more details, visit https://www.cbh.com/disclosure/ Cherry Bekaert provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, citizenship status, protected veteran status, disability status, or any other category protected by applicable federal, state or local laws. https://careers.cbh.com/legal-disclosures/ contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. This role is expected to accept applications for at least five calendar days and may continue to be posted until a qualified applicant is selected or the position has been cancelled. Candidates must demonstrate eligibility to work in the United States. Cherry Bekaert will not provide work sponsorship for this position. Cherry Bekaert LLP and Cherry Bekaert Advisory LLC are members of Allinial Global, an accountancy and business advisory global association. Visit us at https://careers.cbh.com/ and follow us on LinkedIn, Instagram, Twitter and Facebook. © 2026 Cherry Bekaert. All Rights Reserved. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Quality Assurance Industries Accounting Referrals increase your chances of interviewing at Cherry Bekaert by 2x See who you know
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Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work, Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. Our Business Transformation team is looking for an AI Agent & Automation Developer. The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations. We are seeking a talented and motivated AI Agent & Automation Developer to join our team. The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational excellence. This role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be adaptable, collaborative, and eager to learn new technologies to address multifaceted business problems. A successful candidate is a proactive problem-solver with strong software engineering skills, ready to thrive in a fast-paced environment and communicate effectively with both technical and business stakeholders. As An AI Agent & Automation Developer, You Will Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks. Develop agent architectures that support autonomy, interactivity, and task completion. Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools). Collaborate with researchers, engineers, and product teams to iterate on agent capabilities. Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as: Prompt Engineering – injecting information directly into prompts. Fine-tuning – training models on additional data to embed knowledge (where applicable). Retrieval-Augmented Generation (RAG) – embedding documents into vector databases and retrieving semantically relevant information. Tool Use – leveraging sub-agents or deterministic models to locate and add relevant context. Hybrid Approaches – combining two or more methods to maximize reliability and relevance. Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms. Maintain thorough documentation of agent logic, design decisions, and dependencies. Stay up to date with industry developments and advancements in AI, machine learning, and agent-based technologies. Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel SDK. Build and deploy enterprise-grade Copilots using Microsoft’s orchestration tools, enabling seamless interaction across Microsoft 365, Dynamics, and custom business applications. What You Bring To The Role Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field. Proven experience in agent-based systems, or intelligent automation, with a minimum of 2 years in a similar role. Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch). Understanding of agent-based modeling, multi-agent systems, or reinforcement learning. Experience building applications with LLMs or generative AI models. Familiarity with API development, backend services, and deployment pipelines. Ability to work independently in experimental and fast-paced environments. Excellent communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders. Analytical mindset with the ability to solve complex problems and make data-driven decisions. Demonstrated understanding of data quality, integrity, and systems integration. What You Can Expect From Us Our shared values that foster inclusion and belonging including uncompromising integrity, collaboration, trust, and mutual respect The opportunity to innovate and do work that motivates and engages you A collaborative environment focused on enabling you to further your career growth and continuous professional development Competitive compensation and a total rewards package that focuses on all aspects of your wellbeing Flexibility to do impactful work and the time to enjoy your life outside of work Opportunities to connect and learn from professionals from different backgrounds and with different cultures Benefits Information Cherry Bekaert cares about our people. We offer competitive compensation packages based on performance that recognize the value our people bring to our clients and our Firm. The salary range for this position is included below. Individual salaries within this range are determined by a variety of factors including but not limited to the role, function and associated responsibilities, a candidate’s work experience, education, knowledge, skills, and geographic location. In addition, we offer a comprehensive, high-quality benefits program which includes annual bonus, medical, dental, and vision care; disability and life insurance; generous Paid Time Off; retirement plans; Paid Care Leave; and other programs that are dedicated to enhancing your personal and work life and providing you and your family with a measure of financial protection. Pay Range $117,400-$172,500 About Cherry Bekaert Cherry Bekaert, ranked among the largest assurance, tax and advisory firms in the U.S., serves clients across industries in all 50 U.S. states and internationally. For more details, visit https://www.cbh.com/disclosure/ Cherry Bekaert provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, citizenship status, protected veteran status, disability status, or any other category protected by applicable federal, state or local laws. https://careers.cbh.com/legal-disclosures/ contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. This role is expected to accept applications for at least five calendar days and may continue to be posted until a qualified applicant is selected or the position has been cancelled. Candidates must demonstrate eligibility to work in the United States. Cherry Bekaert will not provide work sponsorship for this position. Cherry Bekaert LLP and Cherry Bekaert Advisory LLC are members of Allinial Global, an accountancy and business advisory global association. Visit us at https://careers.cbh.com/ and follow us on LinkedIn, Instagram, Twitter and Facebook. © 2026 Cherry Bekaert. All Rights Reserved. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Quality Assurance Industries Accounting Referrals increase your chances of interviewing at Cherry Bekaert by 2x See who you know
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As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role: Are you ready to level up from building basic AI agents to crafting game-changing solutions? We're looking for a talented AI Agent Engineer who's already gotten their hands dirty with LLMs and is ready to make their mark in cybersecurity. You'll be at the intersection of cutting-edge AI and enterprise-scale impact, building agents that actually ship and make a difference. This isn't about theoretical AI – it's about creating solutions that protect organizations worldwide. What You'll Do: Own the full lifecycle: from prototype to production deployment Lead development of AI agents using modern frameworks (vLLM, SGLang) Optimize agent performance through prompt engineering and fine-tuning Design scalable solutions that balance cost, performance, and security Collaborate with teams to transform enterprise workflows Agent Development: Your Technical Foundation Should Include: Experience building and deploying LLM-based agents Understanding of prompt engineering fundamentals Exposure to fine-tuning techniques (LoRA, QLoRA) Basic knowledge of evaluation frameworks Core Skills: Strong Python chops Familiarity with deployment frameworks (vLLM, SGLang, FastAPI Experience with modern LLM platforms (OpenAI, Anthropic, etc.) What Makes You Stand Out: You've built and shipped AI agents beyond tutorial projects You're comfortable with rapid prototyping and iteration You understand the importance of AI safety and responsible development You can explain technical concepts to non-technical stakeholders You're eager to learn and adapt as AI technology evolves Portfolio of agent projects you can walk us through Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: You've worked with production ML/AI systems You're curious about cybersecurity You have experience with data privacy considerations Masters or advanced degree in related field You've contributed to open-source AI projects Ready to build something meaningful? Let's talk about your agent building experience and where you want to take it next. Benefits Of Working At CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. CrowdStrike Canada ULC is committed to equal pay for equal work in its compensation practices. The base salary range for this position in Canada is $115,000 - $165,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process are subject to background checks, including but not limited to criminal record, credit, and/or reference checks., Bonus Points: You've worked with production ML/AI systems You're curious about cybersecurity You have experience with data privacy considerations Masters or advanced degree in related field You've contributed to open-source AI projects Ready to build something meaningful? Let's talk about your agent building experience and where you want to take it next. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Computer and Network Security Referrals increase your chances of interviewing at CrowdStrike by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Lendistry is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, or membership in any other group protected by federal, state, or local law. If you need assistance or accommodation due to a disability, you may contact us at hr@lendistry.com Lendistry does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with Lendistry, a Master Services Agreement (MSA) must be executed and confirmed prior to submitting any information relating to a potential candidate. Without a signed MSA, Lendistry shall not be responsible to any individual or entity for any payment relating to any form of fee or compensation. And, in the event that a resume or candidate is submitted by a recruiter, an employment agency, or a staffing firm without a fully executed MSA, Lendistry has the unrestricted right to pursue and hire any of those candidate(s) without any legal or financial responsibility to the recruiter, agency, and/or firm. A Day in the Life The Senior AI Engineer will deliver the Lendistry AI strategy. This is a hands-on applied engineering role for an experienced LLM practitioner who can take ownership of end-to-end AI features — from design through production operation — and help set technical direction for the engineers building alongside you. You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence, retrieval systems, and borrower- and operator-facing AI experiences, and you will help mentor more junior AI engineers on the team. You will contribute to and shape the shared AI platform — the prompt registry, tool-calling framework, evaluation harness, and inference routing layer — that every Lendistry product team consumes. Lendistry: Who We Are We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education! What You’ll Be Doing As a Senior AI Engineer on the Lendistry AI team, you will lead the delivery of: Document intelligence pipelines that read loan applications, tax returns, bank statements, and financial statements with human-level comprehension and full audit trails. Underwriting copilots that surface risk signals, policy checks, and recommended conditions in real time for Lendistry underwriters. Borrower-facing conversational AI that helps small business owners navigate applications, understand decisions, and manage their loans. Shared AI platform components — prompt registry, tool-calling framework, evaluation harness, retrieval infrastructure, and the inference routing layer that every product team consumes. The evaluation and observability layer that turns AI reliability from a hope into a measured, managed property of the system. LLM Systems Ownership Own end-to-end LLM features — from requirements through design, implementation, evaluation, deployment, and production operation — across origination, underwriting, servicing, and borrower experience. Lead the design of new agentic workflows — LLMs that plan, call tools, evaluate results, and iterate across multi-step lending tasks with appropriate human-in-the-loop controls. Maintain, debug, and improve existing LLM-powered features already running in production — prompt pipelines, retrieval systems, and the document intelligence stack. Fine-tune and adapt foundation models (including LLaMA-family open-weight models and Bedrock-hosted models) to Lendistry-specific tasks using LoRA, QLoRA, instruction tuning, and prompt optimization techniques. Design and build RAG systems end to end — chunking strategies, embedding model selection, vector retrieval, hybrid search, and re-ranking — tuned for financial documents and lending policy. Agentic Workflows & Document Intelligence Lead the development of document processing pipelines that extract structured data from PDFs, scanned images, and other unstructured financial documents using a combination of OCR, layout understanding, and LLM-based extraction. Design validation, confidence scoring, and fallback mechanisms that make AI outputs safe to use in regulated, high-stakes financial decisions — with clear audit trails and escalation paths. Diagnose and resolve agentic failure modes — non-determinism, prompt sensitivity, tool misuse, looping, context-window exhaustion, and retrieval gaps — and build the patterns that prevent recurrence across the team. Platform, Evaluation & Reliability Contribute to and shape the shared AI platform — the prompt registry, tool-calling framework, evaluation harness, retrieval infrastructure, and inference routing layer owned by the AI team. Design evaluation frameworks that measure model quality, output reliability, retrieval accuracy, and regressions across iterations — golden sets, LLM-as-judge scoring, and human-review harnesses. Instrument AI systems with observability — logging, metrics, traces, token and cost accounting, drift monitoring, and alerting on accuracy, latency, and failure modes. Manage cost and latency at the feature level — token budgeting, response caching, model-tier routing, and batching strategies — treating cost as a first-class engineering constraint. Technical Leadership & Collaboration Partner with the AI team lead and Senior Staff Engineer, AI to translate AI strategy and architectural direction into shipped, reliable features. Collaborate with product, credit, underwriting, and platform engineering to translate business requirements into reliable LLM system designs. Mentor more junior AI engineers through design reviews, code reviews, and pairing — raising the bar on prompt engineering, evaluation discipline, and responsible AI development. Lead proof-of-concept work to validate new AI use cases quickly, measure real business impact, and scale what works into production. AI-Assisted Development Practice Lendistry AI engineers are expected to be among the most effective users of AI tools in the company. This is how we ship. Daily use of AI coding assistants — Claude Code, GitHub Copilot, Cursor, or equivalents — as a standard part of the development loop for code generation, refactoring, testing, documentation, and review. Human in the Loop: Follow human review process – AI engineers must maintain clear judgment and utilize established criteria for about when to trust, verify, or override AI-generated suggestions, outputs, consistent with Lendistry’s AI usage policies and applicable regulatory requirements, particularly in security-contexts involving lending decisions, borrower data, or other sensitive and business-critical contexts and financial information. Leadership in adopting and sharing emerging agentic development tools across Lendistry engineering. Familiarity with agentic development concepts — multi-step task automation, LLM tool use, prompt engineering for code generation, and the integration of AI agents into engineering workflows. Your Areas of Knowledge and Expertise Builder mentality. Bias toward shipping production systems; pragmatic about tradeoffs between model quality, latency, and cost. Ownership. Takes features from prototype through production, operates what you build, and owns the outcome. Rigor. Measures quality instead of eyeballing it; builds evaluation before declaring victory. Mentorship. Elevates the engineers around you through reviews, pairing, and durable technical habits. Communication. Explains AI behavior and limitations clearly to product, credit, and business partners. Responsible AI judgment. Thinks seriously about safety, fairness, auditability, and the real-world consequences of lending decisions. Comfort with ambiguity. Thrives in a fast-moving environment where the AI landscape shifts monthly and priorities evolve with it. Core Experience 5+ years of software engineering experience, with 3+ years building and shipping LLM-powered applications in production. Expert-level Python for production systems — clean architecture, type-safe data modeling (Pydantic or equivalent), clean async patterns, and testable design. Deep hands-on production experience with at least one major LLM provider — AWS Bedrock, Anthropic Claude, OpenAI GPT, Google Gemini, or equivalent — including tool/function calling, structured output, and streaming. Proven track record designing and operating RAG systems end to end — chunking, embeddings, vector databases (Qdrant, Pinecone, Weaviate, OpenSearch, or pgvector), retrieval, and re-ranking — including measuring and improving retrieval quality. Demonstrated experience leading agentic workflows in production — LLM agents that call tools, reason across multiple steps, and autonomously complete multi-stage tasks with appropriate safeguards and audit trails. Hands-on experience with fine-tuning and adaptation — LoRA, QLoRA, instruction tuning, or preference tuning — and with rigorous evaluation of model outputs rather than demo-driven validation. Engineering & Platform Skills Strong LLM tooling fluency — LangChain or LangGraph, LlamaIndex, DSPy, Hugging Face — with the judgment to pick the right tool and the willingness to build custom when the tool is wrong. Production experience with unstructured data — extracting, classifying, and generating structured outputs from text-heavy inputs, including documents, forms, and scanned images. Cloud and deployment depth — AWS preferred (including Bedrock), containerization (Docker), and hands-on experience with self-hosted LLM serving (vLLM, TGI, Ollama, or similar). Evaluation discipline — ability to design evaluation frameworks for non-deterministic systems, build golden sets, and reason about output quality at scale. Strong debugging instincts for LLM-specific failure modes — hallucinations, retrieval gaps, prompt drift, latency spikes, and cost regressions. API and service design experience — exposing AI capabilities as reliable internal APIs with clear contracts, error handling, and cost controls. Security & Regulated-Industry Awareness Working knowledge of LLM security concerns — prompt injection, data exfiltration, output filtering, and secure inference for sensitive workloads. Discipline around PII and sensitive financial data — PII detection and redaction, data minimization, and deployment patterns that keep sensitive data inside Lendistry's trust boundary. Preferred Qualifications Experience in fintech, lending, banking, healthcare, or another regulated or data-sensitive industry. Experience fine-tuning LLaMA or similar open-weight models on domain-specific corpora. Familiarity with document understanding models (LayoutLM, Donut, Nougat) and modern OCR tooling (Textract, Tesseract, or equivalents). Background in NLP tasks such as named entity recognition, classification, or semantic similarity. Experience building and operating shared AI platforms (prompt registry, evaluation harness, routing layer) consumed by multiple product teams. Experience mentoring engineers and leading design reviews. B.S. or M.S. in Computer Science, Machine Learning, or equivalent experience. Why You'll Love Working Here Comprehensive Medical, Dental, and Vision Insurance Generous Paid Time Off Birthday Day Off 12 Paid Company Holidays 401(k) Match FSA and HSA Paid Life Insurance Paid Disability Insurance Pet Insurance Employee Assistance Program (EAP) Professional Development Courses In Office Provided Snacks and Drinks Gym Facilities (LA & Tustin/CEC Offices) In Office Engagement Activities Compensation Range The US base salary range for this full-time position is $111,200 - $185,00 0 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience, and state of residence. Your recruiter can share more about the specific salary range during the interview process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements. Physical Requirements This is a stationary position that requires frequent sitting (approximately 95%), repetitive wrist motions, grasping, speaking, listening, close vision, and the ability to adjust focus. It also may require occasional standing, lifting, carrying of 20lbs or less, walking, kneeling, bending/stooping, twisting, pulling/pushing, and reaching above the shoulder. Employees in this position must be physically able to efficiently perform the essential functions of the position. ACKNOWLEDGEMENT B.S.D. Capital, Inc. dba Lendistry is an equal employment opportunity employer committed to providing its employees, applicants and other covered persons with equal opportunities without regard to race, color, age (40 or older), religious creed (including religious belief, practice or dress and grooming practices), national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender (including pregnancy, childbirth or medical condition related to pregnancy or childbirth), gender expression, gender identity, sexual orientation, military or veteran status (including past, current or prospective service), or any other characteristic protected under applicable federal, state or local law. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Financial Services Referrals increase your chances of interviewing at Lendistry by 2x See who you know
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Headquarters: New York, NY URL: https://lemon.io Senior Developer? Work Remote. Get Paid Well. Build What Matters. Lemon.io connects hand-picked senior developers with vetted startups across the US and Europe — no bidding wars, no ghosting, just serious opportunities. We're currently hiring for a research-driven AI company on a mission to slash the cost of modern AI — co-designing hardware, software, algorithms, and models to make AI's benefits accessible to everyone. They're active open-source contributors, building the infrastructure behind next-generation AI at scale. Open roles: Senior Software Engineer (Golang) Senior DevOps Engineer Senior Site Reliability Engineer Platform Engineer Senior Python & LLM Developer Why this one's worth a look: Starts as contract work through our platform — but perform well, and you're on track for direct hire with equity, health insurance, and other competitive benefits. You'll be working on infrastructure that directly shapes how AI gets built and deployed, at a company operating at the frontier of the field. Locations: EU, US, Canada, UK, Australia, Singapore Senior Golang Developer Build the Go-based platform that lets research and inference teams provision, scale, repair, and tear down GPU clusters via API — no ticket queues. You'll own it end to end: internal platform design, developer experience, and production ops. Requirements: 5+ years of software development experience 3+ years of experience with Golang and Kubernetes controllers Knowledge of Temporal is a must Senior Site Reliability Engineer Requirements: 5+ years of software development experience 5+ years of experience with Linux and Kubernetes 3+ years of experience with Python or Golang At least 2 years of expertise with Ansible 2+ years of experience with bare-metal provisioning Senior DevOps Engineer 5+ years of software development experience 3+ years of experience with Python or Golang 3+ years of experience with Kubernetes Senior Platform Engineer 5+ years of software development experience 3+ years of experience with Python or Golang 5+ years of experience with Kubernetes AI-assisted coding is a must Senior Python + LLM Developer 5+ years of software development experience 5+ years of experience with Python 2+ years of experience with Linux and Kubernetes 2+ years of experience AI agent development Not your stack? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, React & Python, React & Golang, Golang, React & Java, React & Ruby, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Dart, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering — and more. Reach out and we'll match you. No visa assistance provided. Contract engagements don't include direct-hire benefits. We work with developers across 75+ countries in Europe, Latin America, North America, select Asian markets (Japan, Singapore, South Korea, Philippines, Indonesia, Malaysia, Vietnam, Thailand, Israel), Oceania (Australia, New Zealand, Papua New Guinea), and Africa (including Morocco, South Africa). To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-devops-engineer-3
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Headquarters: New York, NY URL: https://lemon.io Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. We have several open positions for Full-Stack React.js Developers - please see the details below. We also have some backend positions; the full list is included below as well. Requirements for the Senior React & Python Position: 4+ years of software development experience. Commercial experience: React.js 3+ years & Python 3+ years OR React.js 2+ years & Python 5+ years OR React.js 5+ years & Python 2+ years Experience with AWS, GCP, or Azure is required. Requirements for the Senior Node & React Position: 5+ years of software development experience Commercial experience: React.js: 3+ years, Node.js: 5+ years, and Next.js: 2+ years OR React.js: 5+ years, Node.js: 3+ years, and Next.js: 2+ years Expertise in AWS, TypeScript and AI-assisted coding is a must. Requirements for the Senior Ruby & React Position: 5+ years of software development experience. Commercial experience: React.js 2+ years & Ruby/Ruby on Rails 5+ years OR React.js 5+ years & Ruby/Ruby on Rails 2+ years Experience with AWS, GCP, or Azure is required. Other requirements: Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won’t let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. Sounds good for you? Apply now and join the Lemon.io community! NOT YOUR TECH STACK? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, React & Golang, Golang, React & Java, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Firebase, Solutions Engineer, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering and more. Reach out and we'll match you. We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa). To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-react-full-stack-developer-6
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Headquarters: United States or Canada - Remote Opportunity About Us Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Summary Join our dynamic team as a Senior Application Security Engineer , where you'll play a pivotal role in securing the Temporal development pipeline, product, and customer execution environment. In this position, you'll work closely with software engineering teams and customers to build security deeply into our platform across multiple clouds. You'll also help shape how we use AI responsibly in both our product and our engineering processes. We're looking for individuals who are passionate about enabling engineering teams to build and ship securely, serving as trusted security partners across the organization. What You’ll Do Collaborate with product and engineering teams to integrate security principles into the design and architecture of products. Conduct threat modeling and risk assessments to identify vulnerabilities and potential attack vectors across the full product surface. Manage the Secure Development pipeline including code security and 3rd party library supply chain security. Stay current on emerging standards and guidance (e.g. OWASP Top 10 for LLMs, MCP security specifications) and translate these into actionable internal policy. Triage Bug Bounty findings and responsibility disclosed vulnerabilities. Able to participate in on-call rotation. What You’ll Bring Bachelor’s degree in Computer Science, Cybersecurity, or a related field (or equivalent experience). 5+ years in application or product security or a related role. Proven partnership with engineering teams, bringing security expertise to the planning and development process. Knowledge of encryption, authentication, and secure communication protocols. Familiarity with tools like SAST, DAST, and penetration testing frameworks. A deep understanding of application architecture and design principles, ability to effectively identify vulnerabilities across multiple programming languages Excellent communication and ability to explain complex security concepts to non-technical stakeholders. Kubernetes security posture management and auditing, including workload hardening, RBAC design, and admission control. Demonstrated experience with multi-tenant security architecture, including data plane isolation, control plane hardening, and cross-tenant data leakage prevention. Excellent collaboration and communication skills. Expertise in at least one programming language, familiarity with Python and Go. Nice to Have Distributed computing and related vulnerability experience. Running a Security Champions program. Open Source automation or automation projects. Expertise in other areas of security. Security conference talks or published research. Compensation The estimated pay range for this role is $180,000 - $225,000, depending on qualifications and location. This role is eligible to participate in Temporal's equity plan. Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process. Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded. U.S. Benefits Unlimited PTO, 12 Holidays + 2 Floating Holidays 100% Premiums Coverage for Medical, Dental, and Vision AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) Empower 401K Plan Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! International Benefits Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com . Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, home office setup, professional memberships, work-from-home meals, and access to the Calm app for mental wellness. Travel Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist. We are not working with external recruitment agencies, thanks. To apply: https://weworkremotely.com/remote-jobs/temporal-technologies-senior-application-security-engineer
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Headquarters: Remote @ Colombia About the role: The OfferUp Business team owns the platforms that power every business vertical on our marketplace; Storefronts, Auto Dealers, Services, Rentals, and Jobs. Our customers aren't casually browsing; they're running businesses on top of what we build, so every feature we ship has a direct, measurable impact on their livelihood and on OfferUp's revenue. We operate the full stack end-to-end: including microservices that handle some of the highest RPS and TPS in the company, and integrations with partners like Stripe and Shopify. We move fast, instrument everything, and treat experimentation as a first-class part of the workflow. We've barely scratched the surface of what these verticals can become, and the roadmap is wide open for someone who wants to help shape it. At many organizations, your role begins and ends with the code. On our team, we’re different. You own a feature from concept to fruition. Your responsibilities will include everything from writing well architected and thoroughly tested code, to rolling out the feature by analyzing metrics. You also get to take ownership beyond your technical area by working with cross-functional team members. As a Full Stack Software Engineer II on the Business team, you'll be a proven contributor who ships features end-to-end across the stack. From the React components our business customers interact with, to the Java services and data pipelines behind them. You'll take real ownership of the work you deliver, raise the quality of the code around you, and grow into a high-performing, reliable contributor on the team. Here’s more of what you will get to do: Design, build, and deploy new user experiences and backend services across our five business verticals, using React, TypeScript, GraphQL, Node.js, and Java Own features end-to-end: plan, design, develop, deploy, measure, and iterate Break down complex engineering problems into achievable tasks and deliver them within committed timeframes Work collaboratively with cross-functional teams (Product, Design, Data, Business stakeholders) to design and implement new features Contribute to A/B tests and use experimentation results to decide what ships Actively participate in code reviews and enforce good patterns, testing, and edge-case handling Coach and mentor junior team members, new hires, and interns Create shared components, utilities, and services that improve team velocity across the stack Maintain and improve the runbooks, alerting, and monitoring for the features you ship Participate in a reasonable on-call rotation with the rest of the team Use AI coding tools (Claude Code, Cursor, Copilot, and similar) to increase your daily development velocity and code quality Become a subject matter expert in one or more of the team's sub-domains You’ll thrive in this role if you have: 2+ years of professional software engineering experience Demonstrated ability to own the delivery of multiple features end-to-end (plan, design, develop, and deploy) with high efficiency, including breaking down engineering problems into achievable tasks Strong coding skills across the full stack: React, TypeScript, HTML, CSS, and modern web tooling; good grasp of responsive design, performance, and cross-browser compatibility Java and a working understanding of microservices and distributed-systems fundamentals Experience building and integrating with REST or GraphQL APIs Good knowledge of data structures and object-oriented design Hands-on experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) in a real engineering workflow, and a point of view on when they help and when they don't Follows good coding patterns, writes appropriate tests, considers trade-offs, and actively seeks out edge cases Comfortable giving and receiving feedback in code reviews A bias toward shipping, learning from production, and iterating quickly An insatiable desire and ability to learn BS or MS in Computer Science, or equivalent practical experience Helpful, but not required: Fluency in any other modern OOO programming language Experience with Agile development Experience with AWS Cloud infrastructure Experience around any of the following: web package managers, Bower, bundler system, NodeJS, Python, webpack Experience with A/B testing platforms (Statsig, LaunchDarkly, Optimizely) and analytics warehouses (BigQuery, Snowflake) Experience consuming or integrating LLM-based APIs (e.g., Bedrock, Vertex AI, OpenAI) Familiarity with AWS cloud infrastructure and CI/CD pipelines About OfferUp: OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need—from great deals and secondhand goods to jobs, services, home rentals, and more—right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward. Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U.S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com More About OfferUp At a Glance Top 10 Shopping app in the App Store and Google Play Store for three years 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando) OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities OfferUp is unleashing the power of local, and we’ve built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training. OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp’s employees to perform their job duties may result in discipline up to and including discharge. To apply: https://weworkremotely.com/remote-jobs/offerup-software-development-engineer-ii-full-stack-business-remote-colombia
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Headquarters: APAC RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $10B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue. We’re a remote‑first crew of 120+, spread across 25 countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in. The role: We are looking for a Senior, proactive DevOps / DevEx Engineer to join our engineering team and help building and scaling the internal development platform. You would be building the tools, services and automation that empower the rest of our engineering team to ship safely and fast. RevenueCat invests heavily in tooling. We already have custom services for CI/CD, automated one-push-per-commit releases with automatic canaries, Feature Flags, DB query approval workflows, VPN access workflows. We are using Pulumi and python for IaC to describe k8s services and associated infrastructure in a single place. We want to provide autonomy, build a self-serve culture that allows teams to move fast but ensures safety and best practices. The advent of IA and agentic development is going to change a lot of things, and you will help shape this future fostering adoption while ensuring our security and architectural standards remain sane. Your job is to take all this to the next level. About you: You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development. You are proactive: You see what is needed, you take action and own problems to turn them into solutions. You love building frameworks, abstractions and automation: You see that the best way to ensure best practices are follow is to make something so easy and joyfull to use that nobody wants to use anything else. You are AI-curious: You understand how LLMs and AI coding tools are changing engineering and want to help a world-class team leverage them effectively. You move fast , test and iterate quickly. Preferred Experience: Experience with AWS cloud, k8s, docker, IaC, Github Solid knowledge of Python In the first month, you'll: Meet your team! Get up to speed on our unique infrastructure-as-code patterns. Familiarize yourself with our existing internal tools for releases, canaries, and access control. Ship your first project —improving an existing tool or automation. Within the first 3 months, you'll: Be able to scope and work on tasks self-sufficiently. Understand most of our internals tools and feel confident making changes to them. Start on-call training. Participate in code reviews, design reviews, brainstorms. Within the first 6 months, you'll: Design and ship major initiatives and have a positive impact in the engineering team. Collaborate closely with other engineers, creating ties, understanding their pain points and starting to become more involve in the roadmap and prioritization of new initiatives. Within the first 12 months, you'll: Be the go-to expert for our internal platforms, services and infrastructure abstractions. Have your own initiatives for improving DevOps and DevEx. Lead AI tool adoption across the engineering org, following well-established patterns for safety and simplicity. To apply: https://weworkremotely.com/remote-jobs/revenuecat-senior-devops-devex-engineer
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Headquarters: Berlin/Remote Your mission As a key member of our Engineering team, you won't just be writing code—you'll be solving complex problems and taking full ownership of features from concept to deployment. You will have a direct impact on a product used by thousands of construction professionals to build the world around us. In your first few months, you might: Design and build new AI features, such as our recently launched AI agent for editing BoQs or automated AI bidder recommendations Collaborate with product managers and designers to shape the user experience and technical direction of our core product. Architect and implement modular packages and services in our monorepo to improve the structure and maintainability of our codebase How We Build: Our Engineering Culture We believe in a calm, collaborative, and productive engineering environment. We trust our engineers and give them the autonomy to do their best work. Our approach includes: Agile & Fast-Paced: We practice trunk-based development with daily releases to get value into our users' hands quickly. Quality by Default: We maintain a comprehensive Cypress E2E test suite and enforce strict typing, linting, and formatting rules to keep our codebase clean and maintainable. DevOps Mindset: Our well-oiled CI/CD pipeline deploys to AWS via Kubernetes, with our entire infrastructure managed as code using Terraform. Collaboration & Transparency: We value open discussion, constructive code reviews, and a culture where the best idea wins, regardless of who it comes from. Your profile We're looking for an experienced engineer who is passionate about building great products. You'll be a great fit if you have: Significant professional experience building, shipping, and maintaining complex web applications using TypeScript. Deep expertise in Node.js for backend development and a strong command of React for the frontend. A pragmatic approach to problem-solving and a high sense of ownership, feeling comfortable driving projects independently. Experience working in collaborative, agile product teams. Excellent communication skills in English. Bonus Points For (Nice-to-Haves): Experience with our infrastructure stack (AWS, Kubernetes, Terraform). Experience with building and maintaining CI/CD pipelines. An interest in data engineering or machine learning. Why us? Competitive Compensation: A competitive salary above the market average. Work-Life Balance: Choose to work 100% remotely or from our modern office in Berlin. We offer flexible working hours to fit your life. Top-Notch Equipment: A new MacBook Pro to ensure you have the best tools for the job. A Great Team: Regular company off-sites and team events that connect us as people, not just colleagues. Job Security: A permanent contract in a stable, well-funded company. About us Cosuno – Revolutionizing construction through technology. We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity. Why Cosuno? Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. This not only saves our customers time but also helps them avoid unnecessary costs. But for us, it's not just about technology – it's about the people who drive it. At Cosuno, you will work with creative minds who are reshaping the construction industry. We believe in diversity because we know that the best ideas come from different perspectives. An integrative and inclusive work environment is a matter of course for us. Join us – Build the future of construction. To apply: https://weworkremotely.com/remote-jobs/cosuno-senior-full-stack-developer-typescript
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Mitte (mitte.ai) | Berlin | ONSITE, REMOTE | Full-Time Mitte is an AI creative suite — the agentic OS for creative teams. Engineering (Berlin, on-site): - Senior Full-Stack Engineer (Go, React): https://mitte.ai/careers/role/GZHn1_O6
- Senior Frontend Engineer (React, TS, Redux): https://mitte.ai/careers/role/5qi8KR4D
- Senior Backend Engineer (Elixir, Go): https://mitte.ai/careers/role/oaFnPm0A
- Founding Engineer (Go, React): https://mitte.ai/careers/role/7VTbvOae
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Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData ?
Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US, India and LATAM
Role Overview We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData ’s delivery excellence. Key Responsibilities Client Delivery
Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.
Collaboration & Leadership
Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.
Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.
Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.
Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData ’s Operational Maturity Framework with clients.
Practice & Firm Contribution
Contribute to the evolution of phData ’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.
Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.
Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.
About You You are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines. You bring a hands-on mindset, strong communication skills, and a passion for aligning data infrastructure with long-term business goals. Required Qualifications Experience 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment. Technical / Functional Skills
Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub).
Hands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.
Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
Ability to describe specific engineering tasks completed with AI assistance.
Consulting / Delivery Skills
Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
Collaboration & Ownership
Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.
Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications Preferred qualifications help candidates stand out but are not required for success in this role.
Snowflake SnowPro Core certification or equivalent cloud/data platform certifications.
Experience using Python for task automation, tooling, and operational efficiency in cloud-native environments.
Hands-on experience with automated database deployment and CI/CD frameworks such as Flyway or Liquibase.
Advanced degrees or additional relevant certifications in data, cloud, or software engineering disciplines.
Experience supporting or implementing managed services offerings for cloud-native data platforms and working with global, remote teams.
Location & Time Zone Expectations This role is based in LATAM and operates primarily in Eastern US time zone with significant overlap with Central time zone.
We are a remote-first company, and you should be comfortable working with a distributed global team.
Some flexibility may be required to collaborate across time zones with colleagues and clients.
Client needs may occasionally require flexibility in working hours to support key milestones or workshops.
Why phData ?
Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData LATAM:
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData . We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations. Originally posted on Himalayas
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Headquarters: Remote • Canada, France, Spain, Germany, UK About Upsun (formerly Platform.sh) Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get: Predictable performance, even at scale Secure, compliant environments by default Real-time observability and profiling built in Cloning, configuration, and provisioning in seconds AI-ready features that plug directly into your stack The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation. Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum. What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work. Our values: We make a positive impact. We aim for the stars. We care for each other. Impact of an IT Systems Engineer As an IT Systems Engineer you take the identity plane from working to well-run: automated, governed, and consistent, so access is correct by default, and our auditors find evidence rather than surprises. Reporting to the IT Director, you play a pivotal role in a growing internal IT department, driving the internal systems layer around identity—from our SaaS estate to Google Workspace. You are the person who makes identity quietly reliable: predictable, documented, and automated, while remaining flexible enough to support the wider IT function as our scaling remote organization evolves. What to expect Identity and access management: Own Okta as the backbone of how people get access, managing the app catalog (SSO integrations for new SaaS tools), policy management (MFA, device trust), and directory hygiene (Universal Directory, group management, breakglass access). Run identity day to day, refine our SSO and SCIM integrations, and keep joiner, mover, and leaver flows accurate from our HR system. Lifecycle and access automation: Automate provisioning and deprovisioning so access is granted and revoked automatically, not by hand. Build and maintain workflows with tools like Okta Workflows and n8n, manage access configuration as code, and keep SCIM provisioning in sync with our HR system. Process and governance: Structure and harmonize clear procedures around the identity plane, so access requests, approvals, and reviews follow one consistent, documented path instead of ad hoc steps. Internal IT systems and SaaS administration: Own our internal systems end to end. Integrate, secure, and validate our SaaS stack, administer Google Workspace as our core collaboration suite, connect our tools through Okta and our HR system, and own the application validation process. Compliance engineering: Implement and evidence access controls for ISO 27001 and SOC 2 Type 2 with our Security team, ensuring access reviews and audit logs are a by-product of well-built systems, not a quarterly scramble. Endpoint and device management (shared): Partner on administrating Jumpcloud our MDM across macOS, Windows, and Linux, sharing endpoint and device management with our IT Operations and Endpoint Manager so coverage scales with the team. Where the team needs you: We are a small, growing IT team, so scope will flex over time. You are happy to pick up adjacent systems work and support across the wider IT function as our needs evolve. What you bring Identity expertise: Deep, hands-on experience with Okta or a comparable identity provider, including SSO, SCIM, lifecycle automation, and API-driven provisioning IT Experience: Typically 5 or more years in IT systems, identity, or access engineering, including time in a developer-heavy or engineering-led environment. Automation skills: You build automation with tools like Okta Workflows, n8n, or similar, you are comfortable with APIs and webhooks, and you script in Python or a comparable language. Process optimization: You bring order to environments that grew quickly. You write clear procedures, standardize how things are done, and leave systems better documented than you found them. SaaS-first operations: You have run and integrated a SaaS-based environment, where identity and APIs matter more than racks and networks. Compliance fluency: You have worked inside ISO 27001 or SOC 2, ideally Type 2 where evidence is continuous, and you understand what auditors actually need. Remote collaboration: You work well without close supervision in a fully remote team, and you communicate clearly with technical and non-technical colleagues alike Google Workspace administration: We are a Google shop, so hands-on Google Workspace administration is core to this role: users, groups, policies, and security settings. Working style: You are comfortable wearing several hats in a small IT team, picking up adjacent systems and endpoint work, and flexing as priorities shift. Bonus points Comfort managing configuration through Git-based workflows, or infrastructure as code with Terraform. Professional proficiency in French. Where we hire At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in Canada, France, Germany, Spain, and the United Kingdom . Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. How we hire We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance. You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 45 Minutes with Talent Acquisition 60 Minutes with Hiring Manager (Director, IT) 60 Minutes with Team (Senior Director, Site Reliability Engineering & Senior IT Manager) 45 Minutes with Executive (Senior Director, FP&A & IT) All roles require background checks. What we offer A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp . An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women. ️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution. A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives Benefits and perks - Make the most of what matters to you Flexible PTO Comprehensive healthcare coverage (UK, Canada, France, Spain) Company stock options Professional development budget Office equipment budget ️ Wellness budget Annual team gatherings Internet reimbursement Inclusive parental leave ️ Remote work travel program You belong here At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you. To apply: https://weworkremotely.com/remote-jobs/platform-sh-it-systems-engineer
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Headquarters: Argentina / Buenos Aires / Bogotá / Colombia / Mendoza / Mar del Plata / Lima Sobre Coderio: Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución. Valoramos la autonomía, la comunicación clara y la excelencia técnica. Colaboramos estrechamente con equipos y socios internacionales, construyendo tecnología que genera impacto. Más información: https://coderio.com Buscamos un DevOps Sr. con nivel de inglés C1/C2, responsable de diseñar, gestionar y escalar infraestructura cloud en entornos AWS. Deberá contar con experiencia sólida en Cloud, DevOps e Infrastructure as Code con conocimientos en automatización de pipelines y despliegue de soluciones basadas en AI (Agentic AI). Se espera un perfil autónomo, orientado a estándares, seguridad y optimización de performance en workloads de alta exigencia. Lo que puedes esperar de este rol (Responsabilidades) Gestionar y escalar infraestructura cloud en múltiples proyectos asegurando cumplimiento de estándares organizacionales. Diseñar e implementar Infrastructure as Code (IaC) para garantizar consistencia entre entornos (dev, staging, producción). Automatizar pipelines CI/CD para: Código, Despliegue de modelos, Orquestación de agentes AI. Administrar y optimizar clusters Kubernetes (EKS). Implementar y gestionar contenedores con Docker. Configurar y mantener servicios AWS como EKS, Lambda, S3, RDS e IAM. Monitorear performance, disponibilidad y confiabilidad del sistema, con foco en Latencia, uso eficiente de recursos y Workloads AI de alto consumo. Implementar prácticas de automatización utilizando Terraform, CloudFormation y/o Ansible. Gestionar accesos, roles y políticas IAM asegurando cumplimiento de seguridad y compliance. Colaborar con equipos de desarrollo y AI para optimizar procesos de deployment y operación de modelos. Requisitos Inglés avanzado C1/C2 (oral y escrito). +5 años de experiencia sólida trabajando con Amazon Web Services. +5 años de experiencia comprobable con EKS, Lambda, S3, RDS, IAM +5 años de experiencia en contenedores y orquestación; Docker, Kubernetes, Helm Experiencia diseñando y manteniendo pipelines CI/CD (GitHub Actions, GitLab CI o Jenkins). +5 años de experiencia gestionando entornos productivos de alta disponibilidad. +3 años de experiencia en monitoreo y optimización de sistemas distribuidos. +5 años de experiencia gestionando accesos, roles y políticas IAM en AWS. Deseables Experiencia en herramientas de AI Ops como; MLflow o Lang Graph Conocimientos en observabilidad (logging, metrics, tracing). Beneficios Esquema Remoto *Compromiso a largo plazo, con autonomía e impacto *Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna *Equipo internacional colaborativo y liderazgo técnico sólido *Plan de carrera y crecimiento dentro de Coderio ¿Por qué unirte a Coderio? En Coderio valoramos el talento sin importar la ubicación. Somos una empresa remote-first, apasionada por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. Si te motiva construir soluciones con impacto, te estamos esperando. Postula ahora. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. To apply: https://weworkremotely.com/remote-jobs/coderio-devops-senior
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FunnelStory | Principal Engineer | Remote (India) | Full-Time | 40-70 LPA | https://funnelstory.ai FunnelStory builds context layers and AI agents over distributed enterprise data. We are a small (<20 people), fast-moving, VC-backed startup operating with exceptionally high leverage, and we are gaining strong traction with large enterprise customers. We offer meaningful equity, a chance to tackle hard problems at the intersection of AI, data systems, and ML, and the opportunity to shape the technical direction of a rapidly growing platform. We are committed to robust engineering practices to build resilient, high-performance systems. This is a great fit if you have: * Deep expertise in Go. * A proven track record of solving hard, ambiguous problems across backend and data infrastructure. * Strong fundamentals in relational databases (PostgreSQL), SQL, and complex data modeling. * Excitement about taking a high-impact ownership role in an early-stage team. Who we're looking for: * 7+ years of experience in systems/backend engineering, data infrastructure, and cloud environments. * Strong architectural background with a focus on engineering fundamentals over framework hype. * Ability to communicate complex technical ideas simply and directly. Apply via https://wellfound.com/l/2Cj73a or email me directly at preetam [at] funnelstory.ai with "HN - Principal Engineer" in the subject line. Please include your GitHub/LinkedIn, resume, a link to a blog post or piece of writing you're proud of.
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Headquarters: Remote (North America) About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role This is our first dedicated security hire, and it's a rare chance to define the function from the ground up. You'll own Hightouch's application security posture end-to-end. We have strong engineering fundamentals and a solid foundation; now you'll shape what security looks like here as we scale from 70 to 140+ engineers. This is a hands-on, high-autonomy role. You'll spend most of your time in the codebase, not in meetings. You’ll be solving hard problems at the intersection of security and distributed systems: Multi-tenant isolation on a system running ~1M data syncs per day and ingesting 100K+ events/sec Sub-tenant access control - for multi-team and multi-brand use cases, requiring differentiated access to configuration and data Security architecture - Build and refine our frameworks for compute isolation and perform threat modeling and hardening of new products Internet-facing APIs - Our high-throughput, internet-facing architecture services customer data at scale. You’ll improve our rate limiting, abuse detection, and granularity of access control Multi-Region and Multi-Cloud - Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base You'll own your roadmap. We're not looking for someone to run a checklist — we're looking for someone who can look at our architecture, identify the highest-leverage problems, and go fix them. We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window. About You You’ve been an early security hire at a SaaS company before and moved the needle on how they approach security. You can read application code, threat model a distributed system, and ship production fixes. You have significant distributed systems expertise so that you can understand and influence what is being built by the product teams and influence from a place of trust. Experience that's relevant: Being an early security hire (first 1-3) at a SaaS or data infrastructure company Securing multi-tenant platforms: tenant isolation, authorization models, etc Cloud security on systems that span more than one cloud and operate against customer-owned accounts Design and build of data infrastructure as an early engineer, not just a user. You helped secure it from early design or during major redesigns. You understand how it scales and how it’s secured Privacy-adjacent security (PII handling, data residency, GDPR/CCPA technical controls) We don't care about certifications. We care about what you've built. Interview Process Recruiter Screen [30m] - Introductory mutual fit assessment Security Architecture Interview [60m] - Threat model discussion of a real-ish system, followed by a systems design exercise Core interview [90m] - deep dive on distributed systems knowledge Hiring Manager Interview [60m] - What you've built in the past, how you work Security Program Interview [60m] with Head of Engineering — How you've run security programs in practice: bug bounty, pentest engagements, working with external researchers, and partnering across engineering to drive adoption. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish) To apply: https://weworkremotely.com/remote-jobs/hightouch-application-security-lead
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Headquarters: Remote Poland About Zowie: At Zowie, we’re revolutionizing how businesses interact with their customers. We’re creating a future where AI Agents handle 100% of customer interactions - delivering instant, personalized, and exceptional experiences. We believe AI Agents represent the next major technological shift, and Zowie is positioned to lead the charge. Leading consumer brands like Costco, DocMorris, Monos, Decathlon, InPost already trust our AI Agents to be on the front line of their customer care efforts, handling millions of conversations monthly. About the role: As Zowie grows and brings larger enterprise customers onto our AI platform, we’re facing challenges that sit at the intersection of infrastructure, application architecture, developer experience, and enterprise clients’ requirements. These problems are rarely well-defined upfront, there’s never a single way to solve them and they can’t be solved by tooling alone. This is why we’re looking for an energetic DevOps/Platform Engineer , who enjoys building usable and reliable platform capabilities — from first understanding why the problem exists, through design and implementation, to long-term ownership in production. Several factors shape the nature of platform work here... What makes platform challenges interesting at Zowie: Enterprise readiness – secure access patterns, auditability, and compliance are becoming first-class requirements. Multi-cloud reality – AWS is our primary environment today, with GCP playing a growing role. Mission-critical workloads – our platform sits on the frontline of our customers’ businesses, so reliability, clarity, and operational ownership matter. Developer enablement at scale – as the organization grows, platform decisions increasingly affect developers velocity, and our mission is to enable them for success. Technological variety - to support the Product team's needs, our infrastructure consists of many technologies, like MongoDB, Postgres, ElasticSearch, Cassandra and Redis. Voice Technologies - as our AI Agent supports phone calls, you’ll have a chance to work with reliable and scalable SIP infrastructure. This role might be for you, if you: Want to have real influence on how an entire platform evolves Enjoy owning initiatives end-to-end, not just implementing predefined tasks Are curious to understand your stakeholders, then design pragmatic solutions that account for the impact of your decisions Like working at the boundary between infrastructure, application architecture, and developer experience What you'll do: Work with AWS and GCP infrastructure (IaC, networking, compute, IAM, secrets), secure access and authorization mechanisms (DB auth, IAM flows, audit). Communicate with various stakeholders to understand different infrastructure-related challenges, provide solution plans and ensure success of the initiatives you own. Collaborate closely with developers to understand their workflows, pain points, and constraints; ensure platform decisions improve developer experience. Ideally, you'll bring with you: 2+ years in DevOps / SRE / Platform Engineering roles Experience with GCP or AWS (IAM, networking, compute, storage, common managed services) Experience with Infrastructure as Code in a multi-datacenter/multi-cloud deployment setup Strong analytical and problem-solving skills with a pragmatic can-do attitude High degree of ownership and desire to drive projects from start to finish Good familiarity with CI/CD processes and approaches It will be awesome if you also have: Experience with visualization tools like Kibana, Grafana, Prometheus Experience with storage tech like MongoDB, Postgres, Cassandra, Redis, Elasticsearch Experience managing AWS costs, running backup recovery operations Experience with SaaS/enterprise customers (security reviews, compliance expectations) AI-native culture: Our team embraces AI as a fundamental part of how we work - not just for speed, but for creativity, documentation, and scale. We’re looking for people who are excited to develop within this space and contribute to such culture by bringing ideas to the table, and continuously evolving their approach to leverage emerging tools. To apply: https://weworkremotely.com/remote-jobs/zowie-devops-engineer
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Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director serves as a leader within Gartner ’s Research and Advisory sector, establishing oneself as a credible voice within their designated market at local, regional and global levels. Utilizing exceptional research and analytical skills, a Senior Director plays a significant role in producing pragmatic and provocative research which Gartner clients consume and apply to propel their business toward key objectives. They are a trusted source of advice for clients, reinforcing Gartner ’s value every day by engaging them via in-person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations. The successful candidate is a subject matter expert in Data Management, specializing in topics such as: Master Data Management (MDM), Data Agents, Ontologies and Context Layers; and understands their application across people, processes, and technologies. The candidate will focus on written and customer-facing deliverables to support Data & Analytics Leaders who face the challenges of implementing AI initiatives whilst augmenting data management practices to support them. This role will require practical experience of supporting AI projects through data management as opposed to theory level with no hands-on knowledge. What you will need:
Hands-on experience delivering/supporting AI initiatives through Data Management.
Core understanding of Ontologies, Semantic Layers, Knowledge Graphs and Context Layers; their differences, use cases and applicability to an organization.
Core understanding of Data Agents / Agentic Data Management, how to implement, key technologies involved and where the pitfalls lie.
Subject matter expertise, with demonstrated knowledge of Master Data Management (MDM) Strategy.
Understanding of the MDM market including (but not limited to): who the key players are, what core capabilities are required, the evolution of the market.
Bachelor's Degree, Advanced Professional Qualification, or 12+ years direct experience in a field related to Data and Analytics.
Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders
Strong organizational skills, ability to work under tight deadlines and produce high quality deliverables
Demonstrate excellence in research and writing ability
Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions
Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges
Strong communicator who can explain complex concepts concisely and simply
Subject matter expert comfortable presenting at large and small-scale speaking engagements
Strong business and financial acumen
Deep knowledge of the global and competitive landscape within subject area as well as the interplay in that market
Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team
Learning agile and adept with navigating highly matrixed environments
Ability to represent Gartner 's research methodology and strategies effectively at all levels
Willingness and ability to travel up to 25% (where applicable)
What you will do:
Create innovative, thought provoking, and highly leveraged “must-have research” content
Develop new research and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act
Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward
Demonstrate thought leadership in establishing research positions across a team of analysts
Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda
Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings
Support Research and Sales: Provide sales support serving as voice of the market to help research teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business
Provide high quality and timely research content peer review
Build credibility as an industry expert to represent Gartner research, methodology and strategy
Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the research community
Identify research process improvements or develop new processes that help the team and Research & Advisory provide excellent service delivery
Be a mentor and a coach by supporting more junior team members
Be client-centric while actively seeking to help clients engage regularly and often with Gartner research and interactions
Who you are:
You came from a Data & Analytics background and may have been a hands-on practitioner in the past but as your career progressed you may have transitioned into a leadership role, where you started leading teams or teams of teams.
You understand the bigger picture and the full lifecycle of data where considerations are made in governance, quality, integration, reusability, and management.
You are proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges.
You enjoy learning and being challenged intellectually on new topic areas or adjustments to previously held beliefs.
You are versatile and able to pivot to new topics to match the challenges faced by our clients.
You are a strong communicator who can explain complex concepts concisely and simply.
You are a subject matter expert who is comfortable presenting at large and small-scale speaking engagements.
You can demonstrate executive presence and can immediately establish credibility with executives and additional stakeholders. What makes Gartner Research a GREAT fit for you?
You are a team player who values expert insights, bold ideas and intellectual courage.
You are always learning and looking to discover what’s next in technology.
You pursue personal excellence through team collaboration and consensus.
You love to shape ideas and business-related recommendations to solve clients’ biggest challenges.
Who are we? At Gartner , Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
Gartner is the world authority on AI At Gartner , you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner , with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner ? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to . Job Requisition ID:109068 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Originally posted on Himalayas
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Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director serves as a leader within Gartner ’s Research and Advisory sector, establishing oneself as a credible voice within their designated market at local, regional and global levels. Utilizing exceptional research and analytical skills, a Senior Director plays a significant role in producing pragmatic and provocative research which Gartner clients consume and apply to propel their business toward key objectives. They are a trusted source of advice for clients, reinforcing Gartner ’s value every day by engaging them via in-person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations. The successful candidate is a subject matter expert in Data Management, specializing in topics such as: Master Data Management (MDM), Data Agents, Ontologies and Context Layers; and understands their application across people, processes, and technologies. The candidate will focus on written and customer-facing deliverables to support Data & Analytics Leaders who face the challenges of implementing AI initiatives whilst augmenting data management practices to support them. This role will require practical experience of supporting AI projects through data management as opposed to theory level with no hands-on knowledge. What you will need:
Hands-on experience delivering/supporting AI initiatives through Data Management.
Core understanding of Ontologies, Semantic Layers, Knowledge Graphs and Context Layers; their differences, use cases and applicability to an organization.
Core understanding of Data Agents / Agentic Data Management, how to implement, key technologies involved and where the pitfalls lie.
Subject matter expertise, with demonstrated knowledge of Master Data Management (MDM) Strategy.
Understanding of the MDM market including (but not limited to): who the key players are, what core capabilities are required, the evolution of the market.
Bachelor's Degree, Advanced Professional Qualification, or 12+ years direct experience in a field related to Data and Analytics.
Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders
Strong organizational skills, ability to work under tight deadlines and produce high quality deliverables
Demonstrate excellence in research and writing ability
Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions
Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges
Strong communicator who can explain complex concepts concisely and simply
Subject matter expert comfortable presenting at large and small-scale speaking engagements
Strong business and financial acumen
Deep knowledge of the global and competitive landscape within subject area as well as the interplay in that market
Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team
Learning agile and adept with navigating highly matrixed environments
Ability to represent Gartner 's research methodology and strategies effectively at all levels
Willingness and ability to travel up to 25% (where applicable)
What you will do:
Create innovative, thought provoking, and highly leveraged “must-have research” content
Develop new research and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act
Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward
Demonstrate thought leadership in establishing research positions across a team of analysts
Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda
Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings
Support Research and Sales: Provide sales support serving as voice of the market to help research teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business
Provide high quality and timely research content peer review
Build credibility as an industry expert to represent Gartner research, methodology and strategy
Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the research community
Identify research process improvements or develop new processes that help the team and Research & Advisory provide excellent service delivery
Be a mentor and a coach by supporting more junior team members
Be client-centric while actively seeking to help clients engage regularly and often with Gartner research and interactions
Who you are:
You came from a Data & Analytics background and may have been a hands-on practitioner in the past but as your career progressed you may have transitioned into a leadership role, where you started leading teams or teams of teams.
You understand the bigger picture and the full lifecycle of data where considerations are made in governance, quality, integration, reusability, and management.
You are proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges.
You enjoy learning and being challenged intellectually on new topic areas or adjustments to previously held beliefs.
You are versatile and able to pivot to new topics to match the challenges faced by our clients.
You are a strong communicator who can explain complex concepts concisely and simply.
You are a subject matter expert who is comfortable presenting at large and small-scale speaking engagements.
You can demonstrate executive presence and can immediately establish credibility with executives and additional stakeholders. What makes Gartner Research a GREAT fit for you?
You are a team player who values expert insights, bold ideas and intellectual courage.
You are always learning and looking to discover what’s next in technology.
You pursue personal excellence through team collaboration and consensus.
You love to shape ideas and business-related recommendations to solve clients’ biggest challenges.
Who are we? At Gartner , Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
Gartner is the world authority on AI At Gartner , you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner , with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner ? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to . Job Requisition ID:109069 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Originally posted on Himalayas
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Atria | Global Remote (almost anywhere) & Hybrid NYC | Engineering roles Atria Health is hiring for Product Engineer roles (across levels) and a Staff SWE, Agentic AI role. Our team is operating with the special combination of rigor, empathy, and innovation required to fuel a global shift from reactive sick care to preventative, precision healthcare. Technologies: Express, React, GCP, Terraform, DBT, MySQL, Snowflake Learn more about our team here: https://share.atria.org/engineering To apply, please send a resume to hackernewshiring@atria.org. Every resume sent here will be reviewed by a human.
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Remote - Most sales tools help you send emails. Weâre building something different.At Salesforge, weâre creating autonomous AI agents that can:Find the right prospectsGenerate highly personalized outreachRun conversationsAnd book meetingsAll without human invo... This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Distru ( https://www.distru.com ) | Senior Software Engineer | AI Product Engineer | Senior Product Manager | REMOTE (Americas & Europe) | Full-Time Distru is the #1 ERP in the cannabis industry. $3.5B in annual GMV flows through our platform, and most of the top cannabis brands and distributors in the US run their entire operation on us to stay compliant. We're profitable, stable, and growing. No runway anxiety, and we're reinvesting into new product lines. We're an intrinsically motivated team that works without ego, is constantly learning, and genuinely cares about our people (5/5 on Glassdoor). Distru is at an inflection point. We have deep market penetration in cannabis ERP, a new commerce layer (Distru Commerce, a B2B wholesale marketplace) live and growing, and a roadmap with a growing AI component. Our live AI Order Agent already lets buyers submit orders in any format from any source, killing manual data entry, the first of many bets on using AI to strip the repetitive heavy lifting out of running an ERP. The roles: You'll own mission-critical parts of the product end to end, from planning and design through implementation, testing, and shipping. You might work on AI-native features (order/purchase intake, smart product matching, systems that learn from user feedback), Distru Commerce storefronts and ordering, manufacturing and distribution workflows, cultivation mobile tools for the floor, or compliance integrations with state systems like Metrc. These are high-ownership roles: you'll partner directly with product, design, support, and our C-suite, and you'll get customers writing you personal "thank you" emails. Stack: React + TypeScript, Elixir/Phoenix + GraphQL, PostgreSQL, React Native, LangGraph Please apply at https://distru.com/careers and mention Hacker News!
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Evaboot | Agentic Python Engineer | REMOTE | Full-time | $70-120K USD Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw Bootstrapped, $2.2M+ ARR, team of 5, remote since day one. What we're doing: building self-improving loops and agentic products. Agentic products you'll work on: SDR agent (sales navigator agent, emailing outreach agent). Self-improving loops you'll build: coding, support, SEO & content, analytics, and company-wide systems (memory, tooling). You will work directly with me (co-founder & CEO). Requirements: strong Python engineering, power user of agentic coding. Bonus points: AWS, agentic plumbing & observability. What's guaranteed: intense execution pace & exponential learning curve. Zero bullshit environment, we focus mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Apply right here: https://forms.gle/NM9BLJyuS8FNitYc8
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ORIGAMICS | Founding Backend Engineer | REMOTE (US) Origamics is building AI models that reason about hardware and electronics systems. We turn existing schematics into production ready boards, helping hardware design move at the speed of software. We’re hiring our first founding engineer to work directly with the founders. You’ll own product architecture, services, storage, engineering-tool integrations, and the productionization of physics-informed models. You Might Thrive If You: have built 0→1 systems, make sound build-vs-buy and infrastructure tradeoffs, and are excited by agentic systems and foundational AI models. >4+ years of experience building REST applications. Familiarity with the stack is not required but it would be nice to have. FastAPI, Postgres, S3, Python, Render/AWS, Codex/Claude/Kimi/Qwen (any other foundational model experience), monitoring frameworks. Apply: https://www.origamics.ai/join-us (Let us know if you are applying from HN.)
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Headquarters: Remote - United States About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the role: We are looking for a GRC Analyst to join our Governance, Risk & Compliance (GRC) team. You will have the opportunity to manage and maintain ongoing compliance with security and privacy frameworks, policies, procedures, and commercial assessments, including ISO 27001, SOC 2, HIPAA, PCI DSS, and more. Your role will be instrumental in ensuring that our company operates ethically, responsibly, and in accordance with regulatory requirements. You will collaborate with cross-functional teams to promote a culture of accountability and integrity throughout the organization and foster an environment where everyone understands the importance of adhering to established guidelines and ethical practices. You will report to the Head of GRC and will be located ((remote, onsite, hybrid)). Think you may not have all the skills and are hesitant to apply? There is no “perfect” candidate and encourage you to apply if you think that you can bring value to our team and are passionate and committed to upholding the highest standards of compliance and ethics. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you will do: Collaborate with internal teams to maintain an effective suite of internal controls and driving remediation efforts to completion with clear documentation of progress. Build strong working relationships across the business so compliance accountability is shared and stakeholders are informed. Streamline annual audits by managing audit deliverables, developing treatment plans, and coordinating across teams to document and track completion to ensure audit success. Monitor and improve controls , processes, and evidence management practices, identify opportunities to automate and streamline GRC operations, and contribute to controls maturity scoring and reporting Enable go-to-market teams and accelerate deal cycles by supporting security questionnaires, addressing compliance inquiries, and maintaining clear, customer-facing documentation on Vercel’s security and compliance posture. Design and manage company training and enhance visibility on compliance-specific topics for internal stakeholders to ensure an understanding of compliance, ethics, and regulatory requirements within the organization. About you: At least 3 years of relevant experience in supporting the audit lifecycle in a cloud-centric environment (SOC 2, ISO 27001, PCI, HIPAA, etc.), with strong organizational skills to be flexible and proactive in a high-growth, start-up environment. Experience collaborating closely with internal partners to seamlessly incorporate policies and technical controls into the SDLC. Strong project management skills and sense of ownership with the ability to communicate and collaborate effectively, and execute projects across various business units and levels. Bonus if you have : Strong experience with cloud infrastructure (e.g., Azure, AWS) Familiarity with compliance or software development tools and systems (e.g., Drata, Linear, Datadog, etc.) Experience with frontend development and open source components Relevant industry certifications (i.e., CISM, CISSP, CCEP) is a plus, but not required Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. To apply: https://weworkremotely.com/remote-jobs/vercel-grc-analyst
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Coder | https://coder.com/ | Multiple roles | Multiple locations | Full-time Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted development environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. Check out our OSS product with 100k+ stars on GitHub! https://github.com/coder All positions are fully remote in the countries listed unless otherwise specified. [1] Sr. Customer Support Engineer (Founding APAC role) - Australia/Singapore [2] Software Engineer (AI Governance) - UK/Ireland/Poland [3] Forward Deployed Engineering Manager - US [4] Senior Product Manager - UK/Ireland/Poland And many more that will be posted soon! Apply here + job descriptions, salary bands: https://coder.com/careers?utm_source=O2n5Ew72WD Not all of our jobs are listed here. Please note that you must submit an application to be considered for any of our positions. If you have any questions, please reach out to careers@coder.com.
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Headquarters: Remote Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Our Risk & Compliance team is hiring a Senior Dispute Analyst to own and continuously improve the full disputes lifecycle at Lithic: intake, investigation, chargeback processing, and resolution. You will own the SOPs that govern each stage, the metrics that measure them, and the process improvements that keep the program defensible to our partner banks, the card networks, and regulators. This is an AI-forward role. Lithic is deploying agentic investigation tooling across the disputes lifecycle, and this role owns the build: testing, deployment, and ongoing tuning of those agentic solutions so that routine, documented volume is absorbed by automation while you own the complex, judgment-heavy exceptions the tooling escalates. You will be the person who converts tooling into realized capacity through context documentation, skill orchestration, and training. This role operates with limited guidance and owns its programs end to end. It is sized for ownership, orchestration, and exception handling rather than steady-state queue processing. What You’ll Do: Own the end-to-end disputes lifecycle: intake, investigation, chargeback processing, and dispute resolution. Author, maintain, and continuously improve the dispute SOPs across every stage, ensuring content reflects current consumer protection regulations, network dispute rules, and operational realities. Test, deploy, and tune agentic investigation solutions across the disputes workflow, including skill orchestration, arbitration automation, and automation tuning, to compress per-case handling time without sacrificing quality. Document investigative context and develop the skills and prompts that allow agentic tooling to handle routine filing, statement generation, and representment volume. Handle complex dispute scenarios, edge cases, and pre-arbitration and arbitration exceptions where outcomes depend on judgment and argumentation. Develop and optimize representment strategies; analyze dispute trends to identify root causes and drive process improvements. Define and report the KPIs and KRIs for the disputes program, and produce actionable insights by synthesizing operational trends and program performance data. Serve as the interface to any business process outsourcing relationship Partner with Product and Engineering to frame dispute requirements as enablers and to inform the roadmap for investigation tooling. Mentor junior analysts and contribute to training on dispute handling, chargeback processing, and the investigation tooling. What You'll Need: Deep, hands-on experience managing card disputes and chargebacks, with strong knowledge of consumer protection regulations and card network dispute rules across the chargeback and representment lifecycle. A track record of owning discrete risk or operations programs end to end with limited guidance, including authoring the SOPs and defining the metrics that govern them. Demonstrated judgment on complex disputes, edge cases, and pre-arbitration and arbitration scenarios. Comfort building, testing, and tuning automation or AI-assisted workflows, or strong enthusiasm to own agentic tooling and translate it into operational capacity. Strong analytical skills: able to synthesize operational and program performance data into trends, root cause analysis, and actionable insight. Excellent communication with internal stakeholders, partner banks, and, where relevant, regulators, with the ability to frame requirements as enablers rather than blockers. A bias toward ownership and iterative improvement, and the judgment to know which cases automation should close and which require a human Nice to Have Experience at a fintech, card issuer, processor, or sponsor bank. Familiarity with dispute and case management tooling and with SQL for dispute trend analysis. Experience standing up or tuning agentic or LLM-based investigation workflows. Experience managing a BPO or outsourced operations relationship. Base Salary: $65,000 - $110,000 This is a remote position. However, candidates must be located in the United States. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday To apply: https://weworkremotely.com/remote-jobs/lithic-senior-dispute-analyst
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Job Number: R0248051 Agentic AI and LLM Applications Software Development Engineer, Senior The Opportunity: The GRACE team at ARPA-H is building the next generation of agentic AI to transform how the agency accelerates research, makes decisions, and ships products at scale. GRACE is ARPA-H's production AI assistant, and we are evolving it into an ecosystem of autonomous, multi-agent systems. We are a small, startup-minded team that ships fast and owns what we build end-to-end. We are looking for a senior SDE who lives at the application layer: designing and building the agentic workflows, LLM integrations, tool-calling systems, and AI-powered features that GRACE users interact with every day. Your focus is on what runs on top of the platform: the agents, the orchestration, the prompts, the pipelines, and the product. The best person for this role starts with the user. They ask why before they ask how. They communicate clearly, give and receive feedback well, and make the people around them better. They are a self-starter with a high bar, a high sense of urgency, and genuine empathy for the people whose work they are making better. What You'll Do: Design and build GRACE's core agentic workflows: multi-step reasoning, planning, memory, and tool-use across single and multi-agent systems Implement and evolve A2A communication patterns at the application layer, enabling GRACE agents to collaborate and hand off tasks Build and maintain the tool-calling layer: tool definitions, input/output schemas, error handling, retry logic, and result formatting Own the MCP client-side integration: how GRACE agents discover, invoke, and compose tools exposed via MCP servers Design multi-agent workflows that are reliable, observable, and debuggable in production, not just in demos Own LLM orchestration at the application layer: prompt construction, context management, model selection logic, and response parsing Build and maintain RAG features: query formulation, result ranking, citation grounding, and hallucination mitigation Implement and iterate on prompt engineering patterns and system prompts that drive GRACE's quality and consistency across OpenAI GPT, Anthropic Claude, and Google Gemini Manage context window budgets: know when to truncate, summarize, or paginate, and build the logic that makes those decisions correctly Build evaluation pipelines for LLM quality: grounding assessment, regression testing, safety checks, and A/B experimentation on prompt and model changes Stay sharp on token economics: write prompts and pipelines that are cost-efficient without sacrificing output quality Translate ambiguous product requirements into clear technical designs and ship them fast Build new GRACE capabilities end-to-end: from backend application logic through to the API contract the frontend consumes Rapidly prototype new agentic features, run experiments, collect data, and iterate based on real user behavior Collaborate closely with product, UX, applied science, and operations; listen well, ask good questions, and build the right thing rather than the obvious thing Own the quality of what you ship: write tests, handle edge cases, and make sure your features degrade gracefully when upstream dependencies fail Instrument agentic workflows with tracing, logging, and metrics so failures are diagnosable and regressions are caught before users report them Define and monitor application-level SLOs: tool call success rates, response quality, and latency from the user's perspective Build fallback and guardrail logic for AI services: what happens when a model returns something unsafe, off-topic, or structurally wrong Work closely with the infra engineer to understand system-level constraints and design application behavior that respects them Write production-quality code: readable, tested, reviewed, and documented Communicate technical decisions clearly to both engineers and non-engineers; no one should have to guess what you decided or why Participate actively in design reviews; push back when something is over-engineered or under-specified Mentor and unblock other engineers; bias toward ownership and fast iteration Ensure strong privacy, security, and compliance in all application logic and data handling Join us. The world can’t wait. You Have: 7+ years of experience with software engineering, including building and operating production systems Experience in high-velocity environments where you owned and shipped complex products end-to-end Experience in Python and at least one other backend language Experience building and operating systems on major cloud platforms, including AWS, GCP, or Azure Experience with containerization and working within CI/CD pipelines Knowledge of modern backend frameworks, async patterns, distributed systems, APIs, data pipelines, and software design patterns Ability to be a clear, direct communicator who gives and receives feedback well, works with empathy, and makes the people around them better Ability to be a self-starter with a high bar and high sense of urgency, including not waiting to be told what to do next Bachelor's degree in Computer Science or Software Engineering Nice If You Have: Experience building production systems on top of LLMs, including tool-calling, RAG, multi-step reasoning, and context management Experience with multi-agent (A2A) architectures and orchestration frameworks in production, not just in prototypes Experience building LLM evaluation and regression testing pipelines Experience in startup or early-stage environments, including 0-to-1 product building Experience in big tech building customer-facing AI platforms or developer tools at scale Experience in security-conscious engineering, including input validation, output sanitization, audit logging, and responsible AI guardrails Experience in healthcare, life sciences, or other regulated domains Knowledge MCP at the client/consumer layer, including how agents discover and invoke tools via MCP Knowledge of token economics, including cost-per-query awareness, context budget management, and prompt efficiency Ability to demonstrate a strong intuition for prompt engineering and LLM behavior across model families, including why Claude and GPT respond differently to the same prompt and designing for it, and demonstrate comfort with ambiguity Skills Assessment As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Booz Allen Hamilton by 2x See who you know
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Headquarters: Gdańsk, Pomeranian Voivodeship, Poland BLPaczka działa jako integrator logistyczny dedykowany użytkownikom platformy Base i nie tylko. Specjalizujemy się w obsłudze przesyłek e-commerce o różnych gabarytach, zarówno w kraju, jak i zagranicą. Współpracujemy wyłącznie z zaufanymi partnerami, dzięki czemu gwarantujemy wysoką jakość usług logistycznych. Poszukujemy ambitnych i energicznych osób, które dołączą do naszego zespołu, aby wspierać dynamiczny rozwój marki na rynku polskim oraz rynkach zagranicznych. Zakres obowiązków Rozwój i utrzymanie systemów opartych na CakePHP i PHP 7.x oraz Symfony i PHP 8.x Projektowanie oraz rozwój REST API do integracji z systemami zewnętrznymi (e-commerce, kurierskimi, finansowymi) Projektowanie i optymalizacja struktur w bazach danych MySQL / Aurora (AWS) Konteneryzacja usług z wykorzystaniem Docker / docker-compose Tworzenie warstwy frontendowej (HTML5, CSS, JavaScript/jQuery), wspierającej funkcjonalności backendowe Code review i praca z Git (branżowanie, PR-y, tagowanie, rebase) Współpraca z zespołem DevOps i product ownerami przy planowaniu architektury i roadmap funkcjonalnych Wykorzystywanie narzędzi AI (np. Claude, Codex, Copilot) do automatyzacji codziennych zadań developerskich, generowania kodu, testów oraz refaktoryzacji Proaktywne szukanie usprawnień z użyciem AI – w procesie developmentu, analizie błędów czy dokumentacji Wymagania Minimum 4–5 lat komercyjnego doświadczenia w tworzeniu aplikacji webowych jako fullstack Bardzo dobra znajomość PHP 7.x/8.x , OOP , wzorców projektowych, CakePHP, Symfony Doświadczenie z projektowaniem oraz dokumentowaniem REST API oraz SOAP Bardzo dobra znajomość MySQL / Aurora : projektowanie schematów, indeksy, optymalizacja Znajomość systemu kontroli wersji Git i dobrych praktyk zespołowych (flow z PR, release management) Praktyczna znajomość Docker / docker-compose – konfiguracja środowisk deweloperskich Podstawowa znajomość HTML, CSS, JS (jQuery) wystarczająca do integracji warstw aplikacji Umiejętność pracy z kodem legacy oraz stopniowej refaktoryzacji Znajomość narzędzi AI wspomagających development (np. Claude, Codex, Copilot) i praktyczne ich wykorzystanie Umiejętność automatyzacji powtarzalnych zadań i optymalizacji własnej pracy przy pomocy AI Mile widziane Doświadczenie z Symfony/Laravel lub migracje systemów do tych frameworków Znajomość procesów e-commerce Znajomość podstaw CI/CD (GitHub Actions, Jenkins) Znajomość AWS (Aurora, S3, Lambda) Doświadczenie w tworzeniu promptów AI i integracji modeli językowych z aplikacjami Benefity Elastyczność: Możliwość pracy w trybie zdalnym Rozwój w Start-upie: Udział w niezwykle ciekawym projekcie z ogromnym potencjałem wzrostu Samodzielność: Duża niezależność w działaniu przy jednoczesnym wsparciu merytorycznym ze strony doświadczonego zespołu Środowisko Pracy: Praca w dynamicznym i przyjaznym zespole w firmie wspieranej przez "najlepszą w swojej klasie" spółkę-matkę z branży e-commerce Atrakcyjne Wynagrodzenie: Konkurencyjne wynagrodzenie powiązane z systemem motywacyjnym W trosce o Twój komfort i aktywny wypoczynek gwarantujemy pakiet medyczny Luxmed oraz kartę Multisport To apply: https://weworkremotely.com/remote-jobs/base-com-full-stack-developer-bl-paczka
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Proxybase | Backend Systems Engineer (Rust) | Remote (Global) | Full-Time | https://proxybase.xyz Hi HN, I’m the founder of Proxybase [0]. We’re building an agentic SOCKS5 proxy network designed to bring transparency and ethical sourcing to the residential proxy market. Quick note to anyone who applied last month: First off, thank you to everyone who reached out. We got hit with way more high-quality applications than expected, and between running day-to-day operations and working through the backlog, we took much longer to respond than we should have. If you applied last month and haven't heard back, we're genuinely sorry for the delay, we are actively reviewing those responses alongside this batch. Why Proxybase?
Historically, the residential proxy industry has been pretty shady, think hidden background scrapers bundled into TV firmware or mobile apps, combined with predatory payout systems that hold provider funds hostage for months. We’re taking a different approach: Fully Open-Source Clients: Our GUI [1] and CLI [2] are completely open-source so anyone can inspect and audit what we run.
Explicit Consent: Providers knowingly opt in. No stealth bundling.
Instant, Fair Payouts: $1 minimum payout threshold sent directly to provider wallets via US stablecoins—no holding funds to farm interest. What We’re Looking For
We’re looking for a Backend Systems Engineer (Rust) to help us build out our asynchronous SOCKS5 routing infrastructure, daemon node orchestration, and automated bandwidth allocation pipelines. Stack: Rust (Tokio / Axum), SOCKS5 protocol, Linux systemd daemons, SQLite
Location: Fully Remote (Async-friendly, flexible timezone)
Compensation: Competitive salary + equity (USD or stablecoin options available) If you're interested in building infrastructure for an industry that desperately needs better standards, send an email to jobs@proxybase.xyz with your GitHub/resume and a short note on what you’ve been working on lately. I’m also around in the comments if you have any questions or feedback on what we're building. [0] https://proxybase.xyz [1] https://github.com/proxybasehq/proxybase-gui [2] https://github.com/proxybasehq/proxybase-cli
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Description Keeper Security is hiring a Senior Linux Systems Engineer to join our Privileged Access Management team and help build secure endpoint privilege management capabilities for Linux environments. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the Chicago, IL or El Dorado Hills, CA metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help build low-level Linux security capabilities that enforce least privilege, secure process execution and privileged access across enterprise endpoints. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com. About the Job As a Senior Linux Systems Engineer on Keeper’s PAM team, you will design and build security-sensitive components that control privileged execution and elevation on Linux endpoints. This is a systems engineering role focused on endpoint privilege management, process authorization, Linux security boundaries and long-running privileged services. You will work across a Rust-based Linux agent, native C PAM modules and .NET services running on Linux. The role requires strong knowledge of Linux internals and the ability to reason carefully about process identity, permissions, authentication, kernel-facing APIs and secure failure behavior. This is not a traditional application development role; the work operates close to the Linux operating system and directly influences how privileged processes are authorized and executed. Responsibilities
Design, develop and maintain Linux endpoint privilege management capabilities across Rust, C and .NET components
Build and enhance kernel-facing agent functionality using Linux interfaces such as fanotify, the proc filesystem, namespaces, capabilities and process identity
Develop and maintain native PAM modules and Linux privilege-elevation workflows
Build long-running privileged Linux services using Rust, Tokio, MQTT, TLS and asynchronous programming patterns
Develop Linux-specific orchestration and session-management capabilities in .NET 8, including process authentication, access controls, ephemeral accounts and session monitoring
Diagnose complex Linux execution and security issues involving blocked processes, authentication races, permissions, SELinux, AppArmor and system service behavior
Design secure privilege-enforcement mechanisms based on least privilege, process trust and protection against time-of-check/time-of-use (TOCTOU) and authorization race conditions
Build and maintain systemd services, RPM and DEB packages, installation workflows, service hardening and operational diagnostics
Collaborate with PAM, endpoint, QA and platform engineers on architecture, testing, cross-platform functionality and production troubleshooting
Use AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot or similar platforms to improve systems research, debugging, code development, testing and technical documentation
Requirements
7+ years of professional software or systems engineering experience, with significant hands-on Linux systems programming experience
Deep understanding of Linux process and security concepts, including the proc filesystem, user and group IDs, Linux capabilities, namespaces and process execution
Strong C programming experience, including native Linux development, memory management, GCC and Make-based build workflows and defensive error handling
Experience developing or integrating with Linux PAM and PAM configuration
Strong Rust experience, including ownership, concurrency, asynchronous development and long-running service or daemon design
Experience with Tokio or similar asynchronous Rust frameworks
Working proficiency with C# and .NET in Linux environments
Experience developing security-sensitive software involving authentication, authorization, privilege elevation, process trust or least-privilege controls
Strong understanding of Linux service management and operations, including systemd, journalctl, SELinux and/or AppArmor, and RPM/DEB packaging
Experience troubleshooting low-level Linux behavior using system logs, process inspection, tracing and reproducible test tools
Ability to read Linux kernel and subsystem documentation and translate system behavior into secure production implementations
Ability and willingness to use AI-assisted tools effectively to support systems programming, debugging, technical analysis, testing and documentation
Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent practical experience
Preferred Qualifications
Experience with MQTT or other event-driven messaging technologies used for agent, plugin or job execution
Experience with Linux desktop session technologies, including X11, Wayland, GDM and D-Bus
Familiarity with TLS, PKI, code signing and certificate-based process or plugin authentication
Experience supporting multiple Linux distributions, particularly RHEL and Ubuntu, including differences between SELinux and AppArmor
Experience with endpoint privilege management, privileged access management or endpoint security products
Familiarity with Avalonia or another cross-platform Linux desktop UI framework
Experience building Linux software for x86 and ARM architectures, including packaging and signing pipelines
Familiarity with endpoint security architectures on Windows or macOS
Strong understanding of authorization models such as allow, deny, approval and just-in-time elevation workflows
Benefits
Medical, Dental & Vision (inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental Life
Voluntary Short/Long Term Disability Insurance
401K (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc.)
Above-market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt
Keeper Candidate Privacy Notice
This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).
1. Data We Collect
Information You provide:
Contact details, CV/resume, cover letter
Employment history, qualifications, work eligibility
Application responses and uploaded documents
Information We generate:
Interview notes, assessments, communications
Scheduling information
Information From Others:
Recruiter/referral information who submit your profile
References (with your consent, before final offer)
Public professional profiles
Background verification (post offer)
Voluntary Diversity and Equal Opportunity Information
We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements
2. How We Use Your Data
Assess your application and suitability
Manage interviews and recruitment workflow
Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
Comply with employment law obligations
3. Legal Basis
Legitimate Interests (recruitment management, security and integrity of the hiring process)
Contracting steps (for progressed candidates)
Legal and regulatory compliance obligations; explicit consent where required
4. Who We Share Information With
Internal:
HR, hiring managers, interviewers*, IT support for system administration
*Note - diversity and equal opportunity data is not shared with hiring managers.
Third Parties:
Service providers who assist with:
Applicant tracking, recruitment systems and assessment providers
Background verification vendors (post offer)
Recruitment agencies (where applicable)
Tools to support communication, collaboration and to securely store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
5. International Transfers
Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.
6. Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
7. Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions:
You opt into our talent database for further retention by providing consent (extended retention)
You're hired (transfers to employee records)
8. Your Rights
You have the following rights and can contact us at the email below to exercise them:
Access, correct, or delete your data, subject to applicable law and retention requirements
Object to or restrict processing
Withdraw consent (where applicable)
Request data portability
Lodge a complaint with your data protection authority
If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.
When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.
9. Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
10. Contact - Candidates can send privacy questions to:
Originally posted on Himalayas
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Chainguard | Product Manager, Scanner | REMOTE | Full-Time | https://www.chainguard.dev/ Chainguard is the trusted source for open source. We build hardened, minimal, continuously-updated images, libraries, and packages that eliminate vulnerabilities before they ship — used by teams at Anduril, Canva, OpenAI, Snap, and Snowflake, among others. We're hiring a PM to own the malware and greyware scanning engine inside Chainguard Repository — the system that analyzes source code, build behavior, and maintainer activity across the open source packages flowing through our platform to catch compromised or malicious artifacts before they reach a customer's environment. You'd own the roadmap for detection coverage, scanner accuracy (precision/recall trade-offs are the daily grind), and how findings get surfaced to security teams and translated into policy enforcement. Close partnership with our detection engineering and threat research teams, and with customers who are increasingly asking "how do you know this package is safe?" Good fit if you've done PM work on a detection, fraud, spam, or security scanning system before, are comfortable being hands-on with data and false-positive/false-negative trade-offs, and want to work on a problem that's getting more urgent as AI agents pull in more open source dependencies automatically. JD to be posted imminently but email me if interested and I'll route appropriately: patrick@chainguard.dev
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About the Role We are building autonomous AI Agents that understand complex tasks, plan multi-step workflows, invoke tools, and deliver end-to-end results across domains — including trading analysis, customer service augmentation, risk investigation, and operations automation. We are looking for an experienced AI Agent Developer to drive the design and delivery of these production-grade agentic systems. Responsibilities Design, build, and deploy autonomous AI Agents capable of task understanding, reasoning, planning, and tool orchestration. Architect Multi-Agent systems with structured collaboration patterns, memory management, and context engineering. Implement and optimize Agent frameworks (LangGraph, AutoGen, Dify, Coze, or similar) for real-world business scenarios. Develop robust Tool Use layers — defining tool schemas, managing tool routing, handling error recovery, and ensuring safe execution. Engineer long-term and short-term memory architectures to support stateful, context-aware agent behaviors. Design reasoning pipelines (chain-of-thought, tree-of-thought, ReAct, etc.) and integrate them into production workflows. Collaborate with domain experts to map complex business processes (trading analysis, risk investigation, customer support) into agent-executable plans. Establish evaluation frameworks to measure agent reliability, latency, accuracy, and cost efficiency. Stay current with the evolving Agent landscape and contribute to internal best practices and architecture decisions. Requirements 3+ years of hands-on experience building AI Agent systems in production or near-production environments. Deep understanding of core Agent paradigms: Multi-Agent orchestration, Planning & Reasoning, Tool Use, Memory, Context Engineering . Proven track record with at least one major Agent framework: LangGraph, AutoGen, Dify, Coze (or equivalent). Strong programming skills in Python; familiarity with async/concurrent execution patterns for agent workflows. Experience integrating LLMs (GPT, Claude, Gemini, or open-source models) via APIs and managing prompt strategies, token budgets, and model routing. Solid grasp of RAG, vector databases, embedding strategies, and retrieval-augmented agent workflows. Experience building systems that interact with external tools, APIs, and databases in a safe, auditable manner. Ability to design agent evaluation metrics and run systematic experiments to improve agent performance. Strong communication skills; comfortable explaining agent behavior, failure modes, and trade-offs to both technical and non-technical stakeholders. Show more Show less Seniority level Associate Employment type Full-time Job function Engineering Industries Financial Services Referrals increase your chances of interviewing at IntelliPro by 2x See who you know
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Job Description Location: Tukang, Singapore (West) Only candidates with the legal right to work in Singapore will be considered. Please note that applicants without this eligibility will not be considered. Why join Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture. Position Summary The Agentic AI Engineer designs and delivers the agents that power RRPS's AI-driven operations. This role is accountable for applying LLM-first design principles: every agent built here uses the language model as its reasoning core, with tools and APIs as stateless data endpoints. Engineers in this role maintain rigorous audit trails so every autonomous decision is traceable to a named business authority, and they deliver complete working agents — not prototypes — within few weeks. What You Will Be Doing LLM-First Agent Design & Delivery Design autonomous agents where the LLM performs all reasoning, classification, and routing — no if-else decision logic in agent code. Implement agent tool interfaces as stateless, deterministic data endpoints; all business logic lives in the model's reasoning layer. Deliver production-ready agents within 4–6 week cycles, from capability design through staging validation to live deployment. Apply structured output schemas and constraint enforcement to ensure agents produce auditable, machine-verifiable responses. Write comprehensive agent test suites covering happy paths, adversarial inputs, and boundary-condition reasoning. Multi-Agent Orchestration & Graduated Autonomy Design multi-agent systems where specialist agents collaborate under a coordinating orchestrator, with clearly bounded authority at each layer. Implement graduated autonomy protocols: move agents from supervised pilot through validated autonomous to fully autonomous deployment, with defined quality gates at each stage. Enforce the agent's sanctioned authority boundaries at runtime — reject tool calls that exceed what the agent is permitted to do, before execution. Build agent-to-agent communication patterns that preserve audit context across handoffs, ensuring end-to-end traceability. Monitor agent behaviour in production; detect drift from approved operating parameters and escalate to human oversight. Audit, Compliance & Institutional Knowledge Implement comprehensive audit trails capturing decision rationale, tool calls, inputs, outputs, and the human authority chain behind each action. Ensure every agent output includes sufficient explanation for regulatory review under EU AI Act transparency obligations. Document agent design decisions, authority boundary definitions, and known limitations in the CoE knowledge base. Support internal compliance authorities consultations by providing technical documentation of agent capabilities and human oversight controls. Contribute to the CoE's institutional knowledge library — patterns, lessons learned, and reusable agent components. Platform Integration & Quality Integrate agents with enterprise systems via standard API contracts, event queues, and Model Context Protocol (MCP) tool interfaces. Implement idempotent agent actions — every autonomous operation must be safe to retry without side effects. Apply structured validation at all agent output boundaries before downstream system calls. Participate in CoE code reviews, contributing to shared standards for agent architecture and prompt engineering. Maintain agent health monitoring: latency, reliability, reasoning quality metrics, and escalation rates. Position Requirements LLM-first design: understanding that the model IS the router, classifier, and evaluator — not a call made by deterministic code. Agent reliability patterns: idempotency, retry safety, graceful degradation without silent fallback. AI audit and explainability: designing for regulatory review, not just functional correctness. EU AI Act high-risk system obligations (basic awareness sufficient). Enterprise integration patterns: event-driven architecture, saga pattern, API gateway, service mesh. Technical Skills Required LLM integration: Anthropic Claude, Azure OpenAI or Google Vertex AI — prompt engineering, structured outputs, tool use. Agent orchestration frameworks: LangChain, AutoGen, CrewAI, LlamaIndex Agents or Semantic Kernel. Python (primary): async patterns, type annotations, Pydantic data modelling, pytest. API and event integration: REST APIs, OpenAPI specification, message queues (Azure Service Bus or equivalent). Workflow orchestration: Prefect, Temporal, Apache Airflow. Database access via ORM (SQLAlchemy, Django ORM, or Entity Framework Core). Container deployment: Docker, Kubernetes (AKS or equivalent managed service). Model Context Protocol (MCP) or equivalent tool interface standards for LLM-to-system integration. Preferred Qualifications Degree in Computer Science, Software Engineering, or a related technical discipline 3+ years building production software systems; 1+ year with LLM-integrated or agentic AI applications Demonstrable experience delivering AI agents or LLM-integrated features in production environments Experience in regulated industries (financial services, healthcare, industrial operations) preferred Evidence of technical curiosity — side projects, internal tooling, writing, or community involvement are all relevant About Mtu Power Systems Power Systems is the Rolls-Royce business which provides world-class power solutions and complete life-cycle support under our product and solution brand mtu . Through digitalization and electrification, we strive to develop drive and power generation solutions that provide answers to the challenges posed by the rapidly growing societal demands for energy and mobility. We deliver and service comprehensive, powerful and reliable systems, based on both gas and diesel engines, as well as electrified hybrid systems. These technologically advanced solutions serve our customers in the marine and infrastructure sectors worldwide. Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls-Royce is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. Relocation assistance is not available for this position. Type of Contract Permanent Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Industrial Machinery Manufacturing Referrals increase your chances of interviewing at Rolls-Royce by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. As an Agentic AI Engineer, you will build AI-native applications using a modern full-stack approach heavily augmented by AI tools. You will lead the development of autonomous agentic systems that move beyond simple prompt-response patterns to execute complex, multi-step tasks efficiently. What You'll Do Design and implement production-grade AI-native applications and agentic workflows. Integrate advanced LLM capabilities into scalable full-stack software solutions. Architect autonomous agents capable of independent planning and task execution. Utilize AI-augmented tools like Cursor and Copilot to optimize development velocity. Collaborate with product teams to translate business objectives into intelligent systems. What We Are Looking For 4+ years of experience in Full-Stack Software Engineering or AI Engineering. Proven expertise in building and deploying AI-native applications and agentic workflows. Proficiency in modern stacks such as TypeScript or Python and production-grade LLM integrations. Hands-on experience with AI-augmented development tools like Cursor, Claude Code, or GitHub Copilot. Strong background in end-to-end full-stack delivery, including frontend, backend, and API layers. Advanced proficiency in English. How we do make your work (and your life) easier: 100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now! Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BairesDev by 2x See who you know
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Job Description About Us Sea Group is establishing a brand-new, strategic AI department. This department is dedicated to exploring the transformative potential of generative AI in revolutionizing human connection, self-expression and communication diversity, and social interaction. We are building the next generation of AI-native applications and a comprehensive Model-as-a-Service (MaaS) product support system. Based on massive multi-country data, we are building a leading multilingual AI ecosystem from the ground up. We look forward to more outstanding talents joining us to build leading Southeast Asian multilingual models and explore innovative AI-native applications. The AI application team focuses on the intersection of social connectivity and artificial intelligence. Our mission is to leverage LLMs to create digital personas that can act as personal assistants and social bridges. This team operates with a startup's agility backed by our Group's robust resources, aiming to define how humans interact in the AI era. About The Job Agentic Workflow: Design and implement core Agent architectures, including task planning, state tracking, and multi-turn conversation management. Agentic RAG: Architect advanced RAG systems supporting hybrid search (BM25 + Embedding) and LLM-driven proactive retrieval. Memory & Tools: Develop long/short-term memory systems and tool-call/plugin dispatching (ADK framework integration). End-to-End Delivery: Optimize intent recognition accuracy, task completion rates, and system latency for production-grade Agents. Requirements Master’s in computer science, natural language processing or related fields; Bachelor can be considered with a strong industrial experience. Deep understanding of Agent frameworks (LangChain, LlamaIndex, ADK). Experience in RAG, vector retrieval, and Reranker model optimization. Proficiency in Prompt Engineering and managing LLM capability boundaries. [Plus] Experience in personal assistants or productivity tools (Calendar, Memo, Info-integration). Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development, Internet Marketplace Platforms, and Technology, Information and Internet Referrals increase your chances of interviewing at Shopee by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Direct message the job poster from Shopee Ray Tan Ray Tan Talent Acquisition | Hiring top Tech talents across Migoo and Product About Us Sea Group is establishing a brand-new, strategic AI department. This department is dedicated to exploring the transformative potential of generative AI in revolutionizing human connection, self-expression and communication diversity, and social interaction. We are building the next generation of AI-native applications and a comprehensive Model-as-a-Service (MaaS) product support system. Based on massive multi-country data, we are building a leading multilingual AI ecosystem from the ground up. We look forward to more outstanding talents joining us to build leading Southeast Asian multilingual models and explore innovative AI-native applications. The AI application team focuses on the intersection of social connectivity and artificial intelligence. Our mission is to leverage LLMs to create digital personas that can act as personal assistants and social bridges. This team operates with a startup's agility backed by our Group's robust resources, aiming to define how humans interact in the AI era. About the Job Agentic Workflow : Design and implement core Agent architectures, including task planning, state tracking, and multi-turn conversation management. Agentic RAG : Architect advanced RAG systems supporting hybrid search (BM25 + Embedding) and LLM-driven proactive retrieval. Memory & Tools : Develop long/short-term memory systems and tool-call/plugin dispatching (ADK framework integration). End-to-End Delivery : Optimize intent recognition accuracy, task completion rates, and system latency for production-grade Agents. Requirements: Master’s in computer science, natural language processing or related fields; Bachelor can be considered with a strong industrial experience. Deep understanding of Agent frameworks (LangChain, LlamaIndex, ADK). Experience in RAG, vector retrieval, and Reranker model optimization. Proficiency in Prompt Engineering and managing LLM capability boundaries. Experience in personal assistants or productivity tools (Calendar, Memo, Info-integration). Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Science Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Shopee by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence. In this role, you will be instrumental inSLP Center, using your skills to process and analyze large volumes of data. You will collaborate with diverse teams, including Engineering, Quality Control, VINFAST's suppliers, to createcutting-edgesolutions that will drive the future of transportation. Design, develop, and optimize LLM-based AI Agents for real-world applications with a focus on accuracy, latency, scalability, and reliability. Research, evaluate, and integrate state-of-the-art foundation models (OpenAI, Gemini, Claude, open-source LLMs, etc.) for different AI tasks. Fine-tune, align, and optimize large language models using techniques such as SFT, LoRA/QLoRA, DPO, preference optimization, and model distillation. Design multi-agent systems, agent orchestration, planning, memory, tool calling, and workflow execution architectures. Develop Retrieval-Augmented Generation (RAG) pipelines, including retrieval, reranking, indexing, embedding optimization, and knowledge integration. Design and optimize function calling pipelines for structured task execution and external tool integration. Build evaluation frameworks for AI systems, including automated benchmarking, offline evaluation, online A/B testing, and hallucination detection. Optimize model inference performance through prompt engineering, routing, caching, batching, quantization, speculative decoding, and serving optimization. Develop and maintain APIs and reusable AI services for rapid integration into products. Build observability capabilities including logging, tracing, monitoring, and performance analytics for AI agents in production. Continuously research emerging AI technologies, models, and agent frameworks, rapidly validating and applying promising approaches to production systems. Collaborate with product managers, backend engineers, frontend engineers, and infrastructure teams to deliver production-ready AI features. Produce technical documentation, architecture designs, best practices, and reusable components for the AI platform. Mentor junior engineers, conduct technical reviews, and contribute to engineering standards and AI best practices Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field. 3 + years of experience in AI/ML engineering, NLP, LLM applications, or a related software engineering role. (Adjust based on seniority.) Strong understanding of Large Language Models (LLMs), Transformer architectures, and modern generative AI techniques. Hands-on experience building AI agents using frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent. Experience designing and implementing Retrieval-Augmented Generation (RAG) systems, including embedding models, vector databases, retrieval, reranking, and knowledge indexing. Experience fine-tuning LLMs using techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), or other parameter-efficient training methods. Strong programming skills in Python and familiarity with AI/ML libraries such as PyTorch, Hugging Face Transformers, PEFT, vLLM, or equivalent. Experience integrating foundation models through APIs (OpenAI, Gemini, Anthropic, or open-source LLMs) and evaluating model performance. Solid understanding of prompt engineering, function calling, structured output generation, tool integration, and agent orchestration. Experience deploying AI services in production environments, including model serving, inference optimization, containerization (Docker), and cloud platforms. Knowledge of observability for AI systems, including logging, tracing, monitoring, evaluation pipelines, and performance analysis. Familiarity with software engineering best practices, including Git, CI/CD, API development, testing, and code review. Strong analytical and problem-solving skills with the ability to rapidly evaluate and adopt emerging AI technologies. Excellent communication skills and ability to collaborate effectively in cross-functional teams. Preferred Qualifications Experience with distributed model training and inference optimization (DeepSpeed, FSDP, TensorRT-LLM, vLLM, SGLang, etc.). Experience with multi-agent systems, workflow orchestration, planning, and memory architectures. Knowledge of model evaluation methodologies, benchmarking, hallucination detection, and AI safety. Experience building voice agents, conversational AI, or virtual assistants. Contributions to open-source AI projects, research publications, Kaggle competitions, or personal AI projects are a plus. Familiarity with Kubernetes, GPU infrastructure, distributed systems, and MLOps platforms is preferred. Benefits Competitive salary Premium healthcare package, including PVI insurance & annual health check-ups 13th-month salary & performance bonuses to reward your contributions Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool... Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain Work Location: Technopark Tower, Vinhomes Ocean Park, Gia Lam, Hanoi, Vietnam With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/ , you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection. To all recruitment agencies : VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Motor Vehicle Manufacturing Referrals increase your chances of interviewing at VINFAST by 2x See who you know
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At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents. You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products. As Part Of Our Team, You Will Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents. Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs. Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks. Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design. Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets. Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets. Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. We’ll be happy to bring you on board if you have: Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting. Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar). Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs. The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases. A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work. At least 3 years of Python experience writing clean, maintainable code in modern ML codebases. Our Ideal Candidate Would Have Experience With ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM. Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours. Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks. AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns. Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar. Inference optimization and serving optimized models in production. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at JetBrains by 2x See who you know
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Portless | AI Engineer | REMOTE (North America only) | Full-time | $180K-$230K + equity Founding AI engineer seat. AI adoption at Portless today is basic (decks, spreadsheets, call summaries, a bit of vibe-coded dashboards) — no real end-to-end agentic workflows yet. You'll build the AI infrastructure: shipping high-impact agentic workflows yourself, and building reusable "Lego blocks" (APIs, MCP tools, docs) so any team can build their own. Cross-functional, high-leverage role touching every team, working directly with leadership.
Example first project: an agent for inbound invoice questions — understands the question, pulls the right invoice, drafts a context-aware reply for a teammate to click-send, turning an hour of work into ~30 seconds. Stack: Python, TypeScript, LLM APIs (Anthropic, OpenAI), MCP, RAG, vector databases, agent orchestration, Cursor/Claude Code.
Requirements: Must be based in North America. 3+ years software engineering with 1-2+ years building production AI systems, 10+ real agentic/LLM workflows shipped end-to-end, platform mindset (built tools/infra for others, not just yourself), strong Python and/or TypeScript across backend and lightweight frontend, relevant sector background (e-commerce, 3PL, logistics, or comparable B2B). Nice to have: RAG pipelines, vector DBs, multi-step tool-use/agent orchestration, evals frameworks.
Full JD + Apply: https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo...
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Job Title: Director, Agentic Lab Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level:
Job ID REQ-10086326
Aug 21, 2026
USA
Summary
#LI - Remote Reporting to the Executive Director, Agentic Architecture & Lab, the Director, Agentic Lab leads the design, prototyping, and validation of next-generation AI agents and autonomous workflows. The role evaluates emerging AI technologies, develops reusable reference implementations, and partners with engineering teams to transition successful innovations into enterprise-scale capabilities. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.
About the Role
Major Accountabilities
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling.
Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory.
Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes.
Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability.
Contribute to enterprise standards, documentation, and reusable engineering patterns for AI agents.
Mentor AI engineers and cultivate a culture of experimentation, innovation, and continuous learning.
Essential Requirements:
Education: Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline.
7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience.
Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development.
Strong software engineering background with experience building production-grade AI applications.
Excellent communication and collaboration skills with the ability to work across research, engineering, and business teams.
Desirable Requirements:
Experience in pharmaceutical, healthcare, or other regulated industries.
Experience building enterprise agentic AI platforms and developer ecosystems.
Novartis Compensation Summary:
The salary for this position is expected to range between $194,600 and $361,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally. Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is curated by Lifelancer . Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. Please apply via Lifelancer platform to get connected to the application page and to find similar roles. Originally posted on Himalayas
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We're transforming the grocery industry
At Instacart , we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Why this role is on the menu Most companies are layering AI onto existing processes. This role is about something different: rebuilding those processes from the ground up, so teams can do work that actually matters. Instacart 's Marketing team has set ambitious AI goals — and this is the person who makes them real. You'll be the first role of this kind in Marketing, embedded in the org with a clear mandate: identify what's slow, manual, or broken across the Marketing organization and rebuild it into something fundamentally better. The benchmark isn't marginal improvement. It's transformation — building solutions that make people wonder how they ever worked without them. This is a builder role. Strategy is a means to an end. The end is something shipped, adopted, and measurable. You'll also be the connective tissue for Marketing's AI ambitions — convening the people who own AI goals, unblocking what's stuck, and creating internal momentum that makes the whole org move faster. What you'll cook up in your first year Building (60%)
Identify high-impact workflows, systems, and processes across Marketing that are slow, manual, or duct-taped together — and rebuild them AI-natively, from the ground up
Own the full cycle: understand the current state, design the solution, build it, ship it — then measure what changed. Establish the before, prove the after, and make the case to leadership
Walk in with work already queued. Early builds include:
Recurring leadership and planning narratives — transforming how Marketing produces its MBR, quarterly planning summaries, budget variance write-ups, and channel performance narratives; currently manual synthesis across multiple inputs, rebuilt into a faster, more consistent, AI-native output
Integrated campaign launch process — automating key steps from campaign ideation to launch, reducing the manual handoffs and coordination overhead that slow campaigns down across teams
Brief quality and standardization — an AI review layer that evaluates briefs before they leave the building, flags what's missing or unclear, and raises input quality across the org before downstream teams absorb the cost of a bad brief
Build with portability in mind — your solutions should be constructed so others can pick them up, adapt them for their own context, and extend what you've built without starting from scratch; you're not just solving a problem, you're creating infrastructure others can build on
Develop and maintain an intake framework: gather inputs from across the org, evaluate feasibility and impact, and make a defensible call on what gets built next — including what doesn't; prioritization discipline means saying no to low-value requests as readily as yes to high-value ones
Driving Adoption (20%)
Own the change management side of every build: create the conditions for people to trust what you've built, use it consistently, and not revert to old habits when something feels unfamiliar
Evangelize internally — write up wins, build case studies, show other teams what's possible; your goal is to generate more demand than you can supply, which means the org needs to see what AI can actually do, not just hear about it
Create energy around AI across Marketing — not as a cheerleader, but as someone who shows people things they didn't know were possible and makes it easy for them to take the next step
Orchestration & Thought Partnership (20%)
Lead the MarComms AI KR forum: convene AI KR owners across Marketing, create momentum behind shared goals, surface blockers, and hold the operating cadence
Act as a working partner to AI goal owners — unblocking vendor delays, solving capability gaps, helping people get unstuck
The secret ingredients we're looking for Must-have pantry staples (Minimum Qualifications)
7+ years in marketing operations, marketing strategy, or a closely adjacent discipline — you understand how marketing orgs work, where the friction lives, and what it costs to leave it unfixed
Proven builder with a track record of impact — you have shipped AI-powered workflows and processes that demonstrably changed how teams work; you can name the problem, describe the solution, and quantify the result. You’re so invested in AI that you’ve applied it beyond the scope of your current role.
Hands-on daily experience with frontier AI tools such as Claude, GPT-4o, or Gemini, including writing prompts that produce reliable, production-quality output at scale
Experience building agentic systems where AI components interact with each other, including multi-agent design, orchestration layers, and workflows that run without a human in the loop at every step
An adoption-minded approach to building: designing for adoption from day one and taking accountability for whether what you built actually gets used
Strong communication skills, with the ability to explain what you're building, why it matters, and where it stands, for audiences from ICs to CMO-level leadership
Prioritization discipline — you can evaluate a request and tell someone their problem isn't a good AI candidate right now, or that the cost of building outstrips the benefit; you know what not to build
Optional garnishes (Preferred Qualifications) A framework for evaluating AI vendors and tools quickly, including running comparison pilots and making principled decisions about what earns a place in the stack
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$126,000—$133,000 CAD
Originally posted on Himalayas
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AI Agents AI Studio AI guardrails API Integration Data Governance
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AI Agents Azure Conversational AI Copilot Studio Language Models
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Headquarters: Medellín, Medellin, Colombia URL: http://logicalmediagroup.com Description Overview We are looking for a software engineer to build and scale our internal web applications. Your mission is to deliver high-quality, maintainable solutions using a Next.js front end and a Django back end, while actively using AI tools and Model Context Protocols (MCPs) to accelerate development and enforce clean architecture. What Success Looks Like Seamless integration between the Next.js front end and Django back end, maintaining high performance and security. Proactive use of AI coding assistants and MCPs to accelerate development cycles and improve code quality, rather than relying on them as a crutch. Code is clean, modular, thoroughly tested, and ready for production with minimal technical debt. Effective collaboration and clear communication with cross-functional teams to align technical solutions with business needs. Requirements Core Responsibilities Next.js Front End: Develop fast, responsive, and intuitive user interfaces using React and Next.js. Django Back End: Architect and build secure, scalable APIs and core business logic using Python and Django. Integration & Architecture: Design clean, modular systems that seamlessly connect internal tools, databases, and third-party platforms. AI-Assisted Development & MCPs: Leverage AI coding assistants in your daily workflow and build or integrate Model Context Protocols (MCPs) to expand the capabilities of our AI agents. Quality Practices: Champion clean code principles, write comprehensive automated tests, and participate in code reviews to ensure system reliability. Requirements Strong proficiency in Python and the Django framework. Strong proficiency in JavaScript/TypeScript, React, and Next.js. Proven experience in robust API design and third-party integrations. A strong commitment to automated testing, clean architecture, and modern QA practices. Familiarity with cloud basics, containerization (Docker), and version control (Git). Excellent communication skills and the ability to collaborate effectively across teams. Nice-to-Have Skills Direct experience building or interacting with Model Context Protocols (MCPs) or AI agents. Familiarity with CI/CD pipelines (like GitHub Actions) and automated deployments. Experience managing agile workflows in tools like Asana or Jira. Experience with Google Cloud Platform (GCP). Benefits Option to work completely remote Logical is an Equal Opportunity Employer. We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our company. To apply: https://weworkremotely.com/remote-jobs/lmg-staffing-solutions-ai-assisted-software-engineer-web-applications
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This is a remote position. We are looking for an MLOps Engineer to support an enterprise analytics and optimisation platform within an international banking environment. The platform underpins pricing, capital allocation, and customer lifetime value decisions across multiple markets and product lines.It operates at scale with regular model retraining cycles and governed analytics processes. Analytical outputs feed both traditional reporting layers and LangChain and LangGraph based GenAI workflows that generate automated insights and scenario analysis. This role focuses on operationalising analytical models and ensuring stable, repeatable production workflows. Responsibilities
Design and operate training and deployment pipelines for analytical and optimisation models
Automate model retraining, validation, and promotion processes
Ensure reproducibility and consistency across development, testing, and production environments
Support scalable analytical workloads across cloud platforms
Enable structured exposure of model outputs to LangChain and LangGraph workflows
Monitor performance, stability, and reliability of ML pipelines
Collaborate closely with data scientists and analytics teams to streamline experimentation to production
Requirements
Strong experience in MLOps or ML platform engineering
Solid Python skills for automation and tooling
Hands on experience with Docker and Kubernetes
Practical experience with MLflow or similar model lifecycle management tools
Experience with workflow orchestration tools such as Airflow
Hands on experience with CI/CD pipelines
Experience working with cloud data platforms
Strong understanding of reproducibility and environment management
Fluent English for professional collaboration Nice to have
Experience integrating ML outputs with LangChain or LangGraph workflows
Exposure to banking, finance, or regulated environments
Experience with optimisation models or large scale analytical platforms
Understanding of data governance and audit requirements
Benefits
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
Originally posted on Himalayas
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Headquarters: 📌 Summary We are seeking a hands-on, execution-focused Senior Automation & AI Systems Developer (UiPath & Power Platform) to build, scale, and maintain enterprise automations across our client's regional operations. In this role, you will own the end-to-end development lifecycle for production-grade bots on a mature estate, while actively expanding into cutting-edge AI-assisted and agentic automation patterns. This position balances rigorous build and production support work on a high-volume platform with a genuine, applied pathway into modern AI engineering. Working across UiPath, Microsoft Power Platform, Anthropic Claude, and REST APIs, you will build complex bot architectures, integrate language models, and construct resilient, multi-system workflows. 🏢 General Information (About the Client) Our client operates a mature, enterprise-scale Center of Excellence (CoE) running a robust production estate—executing over 19,000 monthly jobs across 125+ unattended production robots and 200+ active automations. Operating within a modern tech environment utilizing UiPath, Power Platform, Anthropic Claude, ServiceNow, Bitbucket, and Azure DevOps, they are actively advancing from traditional UI-level RPA into agentic automation patterns. They foster a disciplined, engineering-first culture that prioritizes reusable code libraries, structured exception handling, robust CI/CD practices, and strict compliance-ready documentation. Tasks and Deliverables Production Automation Development: Design, develop, test, and deploy resilient, production-grade automations primarily on UiPath across core business lines. Complex Architecture Engineering: Build and maintain advanced bot architectures incorporating multi-system integrations, structured exception handling, retry logic, and automated recovery patterns. AI & Agentic Service Composition: Integrate AI capabilities directly into automation workflows, utilizing Anthropic Claude, Document Understanding, classification models, and structured LLM prompts. Power Platform Back-End Integration: Construct and support modern user interfaces using Power Apps / Power Automate backed by robust UiPath and API execution engines. API & Scripting Extensions: Extend automation capabilities beyond basic UI automation by writing custom Python, PowerShell, REST API, and webhook integrations. Production Support & Incident Triage: Troubleshoot and resolve production bot failures with minimal downtime, managing queues, analyzing logs, and working closely with architects. Code Quality & Governance: Contribute to reusable component libraries, conduct peer code reviews against team standards, and maintain audit-ready technical documentation. Required Experience UiPath Engineering Seniority: 3+ years of dedicated, hands-on RPA development experience with UiPath as your primary platform. Production-Grade Bot Experience: Proven track record building and supporting automations running live in production—demonstrating deep mastery of exception handling, logging, error recovery, and multi-system integration (training exercises/POCs do not qualify). Database & SQL Proficiency: Practical experience writing SQL queries for data manipulation, extraction, and validation within automated pipelines. Active UiPath Certification: Hold a current, active UiPath developer credential (e.g., Automation Developer Professional, Automation Developer Associate, Specialized AI Professional, or valid Advanced RPA Developer / UiARD). Agile Delivery Practice: Demonstrated experience delivering software within an Agile framework (daily standups, sprint planning, retrospectives, backlog grooming). Preferred Qualifications (Plus): Practical Python or PowerShell scripting for advanced orchestration, data manipulation, and custom API connections. Experience with Microsoft Power Platform (Power Apps, Power Automate), REST APIs, webhooks, or AI-assisted development tools (UiPath Autopilot, GitHub Copilot, Anthropic Claude). Exposure to agentic automation patterns, Intelligent Document Processing (IDP), process/task mining, or secondary RPA platforms (Automation Anywhere). Familiarity with Git, CI/CD pipelines, Azure DevOps/Jira, and enterprise systems (Microsoft Dynamics 365, Workday, Salesforce, Vertafore, or Oracle Fusion). To apply: https://weworkremotely.com/remote-jobs/toptal-automation-engineer-uipath-for-innovative-ai-project
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Bridgeway is seeking an experienced Senior Manager, Software Engineering to lead a team of engineers and oversee the delivery of high-quality software solutions. This role is responsible for driving engineering best practices, meeting operational objectives, and fostering a collaborative, high-performing team environment. The ideal candidate combines strong technical expertise and proven leadership experience and a passion for building innovative products in a fast-paced environment. The is a remote position with preference given to East Coast candidates. Responsibilities:
Collaborate closely with engineering, product, and business leaders to align technical execution with business goals.
Foster a culture of technical excellence, continuous learning, and innovation within the team.
Drive best practices for software development, including code reviews, testing, and CI/CD pipelines.
Ensure timely delivery of high-quality software solutions in an agile environment.
Mentor and develop engineers, helping them grow their skills and advance their careers.
Lead and manage a team of software engineers to develop scalable, secure, and high-performance applications - including hiring, training, and completing performance evaluations.
Work closely with architecture and platform teams to align on technical strategies and implementation.
Promote cross-functional collaboration.
Monitor KPIs and metrics to report out monthly to leadership team.
Stay current with emerging technologies and industry trends and integrate relevant innovations into the company’s IT infrastructure.
Participating in software solution design and architecture.
Responsible for ensuring code efficiency, quality, and adherence to best practices throughout development.
Working with other developers, stakeholders, and clients to understand requirements and deliver solutions.
Providing technical guidance and assistance with troubleshooting issues.
Creating and maintaining documentation throughout the software development lifecycle.
Experience using generative AI tools such as Claude, Copilot, or ChatGPT to improve productivity and deliver high-quality outcomes.
Qualifications:
7+ years of experience in software development, with at least 3 years in a human capital leadership role
3+ years of experience working with COBOL
Strong background in building and maintaining SaaS applications at scale
Hands-on experience with Azure and modern development practices
Familiarity with version control systems, Git preferred
Experience with Agile methodologies, KanBan preferred
Excellent leadership, communication, and stakeholder management skills
Ability to balance technical leadership with business priorities and team dynamics
Bachelor’s degree in Information Technology, Computer Science, or a related field
Originally posted on Himalayas
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Role Overview: The Founder's Associate Intern will execute high-priority, delegated tasks across strategic and operational work streams that directly drive company execution. This position requires exceptional organizational discipline and an entrepreneurial self-starter mentality to manage initiatives with a high degree of autonomy. You will be instrumental in increasing the Founder's focus on outward-facing strategic goals, ensuring the rapid progress of ARCbuild. Key Responsibilities:
Strategic Project Management: Own and drive defined short-term projects across critical functions (e.g., go-to-market preparation, improvement of operational processes, and internal system deployment).
Executive Decision Support: Conduct deep research and synthesize complex data (market trends, competitive landscape, partnership diligence) to directly inform and validate executive-level decisions.
Operational Optimization: Provide high-leverage support on core founder tasks, including financial data synthesis, refining investor presentation narratives, and ensuring critical cross-functional coordination.
Workflow and Process Alignment: Analyze the founder's and the executive team's operations to identify bottlenecks and implement solutions that streamline decision-making and project handoffs.
Bachelor’s degree from a globally recognized university (Top-50 ranked institutions preferred).
Previous work experience in consulting, investment banking, or in a strategic role at a high-growth startup or scale-up.
Entrepreneurial mindset, proactive attitude, and strong willingness to learn quickly and adapt in a dynamic environment.
Proven track record of independently managing projects and delivering measurable outcomes.
Must be a proactive self-starter who can anticipate needs and take initiative without constant supervision.
Exceptional analytical rigor and strategic problem-solving skills.
Strong verbal and written communication skills; discretion and professionalism are paramount.
Comfortable working remotely and maintaining high productivity and responsiveness.
Why Join ARCbuild?
Be part of an innovative, high-growth company with ambitious scaling goals.
Work in a flexible, remote-friendly environment with top-tier professionals.
Opportunity to learn first-hand about scaling an early stage venture.
10x Value Partners is a think tank and investment firm founded by serial entrepreneur and investor Christian Schroeder. We partner with talented individuals and organizations to create transformative value and build the next generation of billion-dollar companies. As part of our portfolio, ARCbuild ’s mission is reviving the American dream of homeownership by offering affordable starter homes suited for young families and first-time home owners. Its innovation lies in reinventing the entire value chain of construction from a first principles perspective, using new technologies such as agentic AI, robotics and computer vision. The company has completed the R&D and product development stage for its hardware product and is looking to redefine the future of housing through innovative modular construction solutions. ARCbuild combines cutting-edge technology, thoughtful design, and operational excellence to deliver homes that set a new standard in real estate development. We are seeking a Founders Associate Intern to support the founders on all critical aspects of building the company. This is an ideal experience for someone who wants to launch their own company: Entrepreneurial Real-Life Experience. Originally posted on Himalayas
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SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. The Biz Tech team is charged with unlocking the power of the strongest team in the industry. We help everyone at SeatGeek deliver their absolute best work through better tools and automation. All we’re missing is you. What you'll do
Run a modern, containerized service-oriented architecture using industry-leading software development practices
Ship code to production many times a day
Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek ’s technical and product standards; no token limits
Translate the advanced patterns defined in R&D into scalable applications / features for the broader, non-technical workforce at SeatGeek and spread adoption
Design and scale foundations to promote and extend effective & impactful use of AI and agentic workflows across SeatGeek
Build powerful and performant tools and integrations between systems that generate efficiency for teams across the business, leveraging AI in the most impactful places
Guide / steer non-technical users towards greater building capabilities with increasingly robust system architecture + feature sets
Evaluate new technologies and improve our software stack to keep our technological edge. Ensure our stack of AI tools is maximized for effectiveness + impact
Work across team and discipline boundaries to develop the best product in our industry
What you have
Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
Experience solving complex technical challenges. Biz Tech engineers at SeatGeek create custom solutions to unique problems, including complex real-time data integrations, powerful and scaled agentic workflows, and AI enabled automation. We'll be excited to hear about challenging problems you've solved
Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
Our stack You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
Streaming & workflows: Kafka, Flink, Airflow, Temporal
AI Tooling + Methods: LLMs , Agents, Harnesses, MCPs, Claude, OpenAI, Gemini & more
Perks
Equity stake
Discretionary annual bonus
Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
A WFH stipend to support your home office setup
Unlimited PTO
Up to 16 weeks of fully-paid family leave
401(k) matching
Student loan matching program
Health, vision, dental, and life insurance
Up to $25k towards family building, reproductive health services and Gender-affirming care
$500 per year for wellness expenses
Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
$360 per quarter to spend on tickets to live events
Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. Originally posted on Himalayas
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Company Overview
At Fluency, we come together under two shared passions that drive our culture: the scaling of digital ad operations, and fostering a workplace environment rooted in open communication, inclusivity, and a growth-oriented mindset. These passions not only set us apart in the industry, but also fuel our collective drive to reshape the industry and reinvent ourselves along the way. We're not just revolutionizing the digital advertising horizon, we're shaping an organization where every member feels a sense of pride and is inspired to do their best work.
Job Summary As the Principal Product Manager for Paid Search and AI Search Advertising, you are a deep domain specialist who owns the most mature, complex, and high-impact surface area of Fluency's platform. You will be the definitive internal expert on search-platform mechanics, likely having owned the product on the system side of a major search platform (such as Google Ads or Microsoft Advertising). This role requires a blend of high-level product strategy, technical depth, and the disciplined management of a partner-driven roadmap. You will bridge the daily reality of technical API requirements with proactive investments in next-generation, AI-driven search environments. You will shape how Fluency's platform helps enterprise brands and agencies manage billions in ad spend across traditional search and emerging conversational AI interfaces. Who You Will Work With At Fluency, Product and Engineering operate in highly collaborative, lean pods to minimize bureaucracy and maximize shipping velocity. In this role, you will lead the Paid Search & Automation Pod, which is composed of:
You, acting as the Principal PM and strategic anchor for the surface area.
A team of 4–6 specialized Software Engineers (spanning backend architecture and API integration specialists) and a dedicated Engineering Lead.
Direct, recurring collaboration with a designated Product Designer (UX/UI) and a Product Marketing Manager to drive feature adoption.
Your Role
Drive the end-to-end vision, strategy, and roadmap execution for Fluency’s Search and AI Search Advertising integrations, with Google Ads and Microsoft Advertising at the core.
Simultaneously manage reactive, deadline-driven integration maintenance dictated by partner API update and deprecation cycles, while proactively making the case for long-term internal investments that compound over multi-quarter horizons.
Deeply collaborate with your engineering pod to translate complex partner roadmaps into actionable internal plans, navigating architecture conversations at scale and championing invisible maintenance work that protects platform reliability.
Lead Fluency’s execution against emerging AI-driven surfaces, including Performance Max, Demand Gen, ads in ChatGPT, Copilot, and AI Overviews, while designing test programs with strategic agency and enterprise brand customers.
Partner across Sales, Client Services, and Product Marketing on positioning, enablement, and customer-facing implications of roadmap decisions, leading through influence and clear, evidence-based product definitions.
Conduct deep-dive opportunity sizing and competitive research to anticipate how foundational shifts in the search ecosystem will impact our clients before they land.
Synthesize product requirements through the eyes of the operator using Fluency every day, the agency executive whose P&L depends on us, and the internal support teams enabling adoption.
What We Look For
10+ Years of Product Management experience running complex software products through the full lifecycle, with at least 5+ years of deep technical domain expertise in Paid Search.
Direct experience as a Product Manager at Google Ads, Microsoft Advertising, a comparable search platform, or an ad tech product that integrates deeply with these ecosystems, giving you an inside understanding of search mechanics, API behavior under load, and deprecation cycles.
Strong technical depth and product judgment, with a clear understanding of the underlying systems, infrastructure, and technical nuances of how search platforms function at scale.
High comfort level with the deadline-driven rhythm of partner integrations and the ability to treat a major platform deprecation cycle as a logic puzzle rather than a crisis.
A proven track record of building deep cross-functional trust and leading through technical integrity, data, and clear communication rather than volume or title.
Expert familiarity with Agile methodologies and modern collaboration, design, and analytics tools like ClickUp, Figma, and Looker.
Fluency is headquartered in Vermont. This position is remote US based. If local, you have the option to go into the office.
Fluency pays all employees based on U.S. nationwide averages for each role, designed to ensure pay equity. This is a full-time, remote position that requires legal authorization to work in the U.S. Starting pay range is determined by job-related skills, experience, and knowledge. The role is also eligible for a discretionary bonus, equity options, and a comprehensive benefits package including:
• Medical, dental, and vision coverage for employees and their families
• 401(k) plan with company match
• Four weeks of Combined Time Off (CTO), flexible schedule, and twelve holidays • Maternity and parental leave • Employee wellness programs and mental health support • Remote work flexibility and home office stipends
Starting Pay Range
$157,000—$181,000 USD
At Fluency, we’re proud to be an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive workplace where everyone can thrive. We welcome applicants of all backgrounds and identities and do not tolerate discrimination or harassment of any kind.
Employment decisions at Fluency are made based on business needs, job requirements, and individual qualifications—without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, veteran status, or any other status protected by federal, state, or local laws.
Originally posted on Himalayas
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API Gateway AWS Lambda Agentic AI Amazon Bedrock Amazon DynamoDB
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Collaboration.Ai Actively Hiring Save Apply Now Senior AI Engineer - Agentic Systems & Data Pipelines $100k – $180k • No equity | Remote ( United States ) • Minnesota +2 |7 years of exp |Full Time Posted: 4 weeks ago• Recruiter recently active Job Location Minnesota • Minneapolis • Saint Paul Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Preferred Timezones Central Time, Eastern Time Relocation Not Allowed Skills Python Node.js Kafka TypeScript POSTRESQL Kotlin FastAPI Pydantic LLMs About the job If you are interested in this position, please apply directly through this link. Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code Our Tech Stack Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary) AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others) Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock Search & Retrieval: Vector databases, OpenSearch, embedding models Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability What We're Looking For Must-Haves 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows Data engineering background — robust, scalable pipelines for AI/ML workloads LLM operations experience — evals and observability for production LLM systems (quality, cost, latency) Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch) Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development Experience with Docker, Kubernetes, and AWS US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance) Nice-to-Haves Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies Graph data experience — knowledge graphs, graph databases, or graph-based retrieval Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates Research background, open-source contributions, or an advanced degree in ML/IR/NLP Why Join Collaboration AI? Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built. AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them. Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust. Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here. Apply Now About the company Collaboration.Ai Actively Hiring 11-50 Employees Minnesota 11-50 Innovation Management Government Innovation Learn more about Collaboration.Ai Similar Jobs Swoop Technologies A secure, distributed operating system for the physical world Software Engineer - Embedded Systems $125k – $200k • 0.005% – 0.01% Apply Instrumentl The best platform for nonprofits looking to grow revenue (YC S16) Senior Full Stack Software Engineer $160k – $190k Apply Swoop Technologies A secure, distributed operating system for the physical world Software Engineer - Backend $125k – $190k Apply Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Swoop Technologies A secure, distributed operating system for the physical world Software Engineer in Test $115k – $160k Apply Pie Systems Digital VAT Refunds for Tax Free Shopping Sr. Fullstack Engineer (RoR) $75k – $150k • 0.0% – 0.5% Apply Hospitable.com Gifting short-term rental hosts their time back Technical Support Engineer (Americas/EMEA - Remote) $384k – $455k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta ’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta ’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta .
Job Description: Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and maintaining our self-service product, as well as sharing insights and building insight/performance reports. Additionally, you will monitor trends and anomalies using the Cresta application, respond to ad hoc business requests for analysis, and provide ongoing mentoring and support for our customers' own analysts. Responsibilities:
Work closely with customers to operationalize their program strategy using Cresta 's self-service product, Opera.
Obtain Opera certification and utilize keyword and utterance rules to identify key moments in contact center conversations and set up resulting actions.
Utilize Cresta 's voice analytics tools to understand emerging topics in contact center conversations and communicate them to the customer.
Monitor trends and anomalies using Cresta 's tools to identify emerging topics and insights in customer conversations.
Use Cresta 's self-service tools to align the customer's business priorities with the contact center operations.
Respond to ad hoc business requests for analysis and provide actionable insights derived from contact center data.
Offer ongoing mentoring and support to the customer's own analysts, guiding them in effectively utilizing Cresta tools.
Collaborate closely with the Cresta team and customers to drive success and maximize the value of Cresta 's solutions.
1-5 Years relevant experience
Qualifications :
Contact center experience preferred.
Excellent written and verbal communication skills to effectively communicate insights and collaborate with customers and internal teams.
Strong problem-solving skills to analyze complex data and provide actionable recommendations.
Comfortable working with SaaS software and quickly adapting to new tools and technologies.
Comfortable speaking with senior level executives at customers
Proficient in Microsoft Word, Excel, and PowerPoint/Google Slides.
Familiarity with speech analytics is preferred, but not critical.
Perks & Benefits:
We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Flexible vacation time to promote a healthy work-life blend
Paid parental leave to support you and your family
Communication & Wellness Stipend
Comprehensive training and onboarding programs provided by Cresta .
Opportunities for growth and professional development within the organization.
Collaborative and supportive work environment with both Cresta and customer teams.
Compensation at Cresta : Cresta ’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range : $100,000 - $140,000 + Bonus + Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to Originally posted on Himalayas
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AI Agentic Frameworks Data Engineering Developer Advocacy Documentation
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River River is a new platform where you can chat, search, and shop, and get paid for all of it Save Apply Now Lead Data Scientist / Machine Learning Engineer – Knowledge Graph & Agentic AI $90k – $120k • 0.5% – 1.0% | Remote ( United States ) |5 years of exp |Full Time Posted: 2 months ago Hires remotely in United States Remote Work Policy Remote only Company Location Los Angeles Visa Sponsorship Not Available Preferred Timezones Pacific Time Relocation Not Allowed Skills Python Machine Learning Numpy/Scipy/Pandas/Scikit-learn NLP PyTorch Huggingface Vector Databases Agentic AI Hiring contact Ketan Buddhdev Employee About the job About River River is the human layer of the internet. The consent and ownership infrastructure that puts people back in the loop. Users see their data, control who accesses it, earn 70% of the value it creates, and get AI that finally serves them, not the platform. We are pre-revenue, raising a $3M seed at a $30M pre-money, and preparing for market launch. Our founding CEO brought MTV and NetJets to Europe and we are backed by technology luminaries from Google, Sun Microsystems, and beyond. We are looking for a Lead Data Scientist to take full ownership of everything data science at River – from our personal data graph to our next-generation agentic AI systems. This is a foundational hire that will underpin our expanding team. You will be the person who defines how River understands, connects, and reasons over user data at scale, and who builds the data science function from the ground up. What We're Building River is three products, one platform: River Social – live and growing. A social platform where you own your data, control your identity, and get paid when it's used. 70% of value goes back to you. River Source – enterprise consent infrastructure. The bridge that gives AI platforms and brands access to high-fidelity, consented user data at scale. RiverAI – launching 2026. A desktop AI client built on your personal data graph, with real agentic capabilities that work for you, not just talk to you. RiverAI is powered by Rivera, River's AI engine, which is unique: It knows you. Rivera reasons over your personal data graph – your preferences, relationships, history, and context – to deliver intelligence that's genuinely yours. It's agentic. Rivera doesn't just answer questions – it takes action on your behalf, orchestrating multi-step workflows across your data and services with full transparency and user consent at every step. It's proactive and predictive. Rivera anticipates your needs and offers to help without you even asking. It's portable. Your data identity moves with you. Rivera works across River's platform and beyond, acting with your authority wherever AI meets the individual. What You'll Be Doing Designing and evolving River's personal data graph – defining entity schemas, relationship models, and enrichment pipelines that transform raw user data from diverse platforms into a rich, interconnected graph of individual intelligence. Building and maintaining data taxonomies – creating structured classification systems that organize the vast diversity of user data into coherent, queryable categories, enabling consistent data interpretation across River Social, River Source, and RiverAI. Cleaning, normalizing, and structuring noisy data – building robust pipelines that ingest messy, heterogeneous real-world data from multiple platforms and sources, resolving inconsistencies, deduplicating entities, and transforming it into high-fidelity graph-ready data at scale. Advancing natural language processing capabilities – developing NLP systems that extract meaning, intent, and relationships from unstructured text data, powering Rivera's understanding of user context and enabling semantic search across the personal data graph. Building agentic AI systems for RiverAI – architecting multi-agent frameworks where Rivera can reason over the personal data graph, plan multi-step actions, and execute autonomous workflows on behalf of users. Staying at the cutting edge of AI development – continuously evaluating and integrating emerging techniques in machine learning, graph ML, embedding models, and agentic architectures to ensure River's AI capabilities remain state-of-the-art. Developing AI-powered data ingestion for River Source – building intelligent pipelines that automatically analyze, classify, and enrich enterprise and user data as it enters the graph, powering River's consent infrastructure and maximizing network effects. Creating novel data valuation metrics – quantifying the value of user data contributions within the graph to power River Social's compensation model, where 70% of value flows back to users. Designing reinforcement learning systems for Rivera's personalized recommendation engine, leveraging graph structure to deliver context-aware, relationship-informed suggestions. Implementing hybrid search architectures (vector + graph traversal + traditional) with real-time trend analysis across the personal data graph. Building multi-agent preference aggregation models for group commerce features, enabling Rivera to reason over the preferences of multiple connected users simultaneously. Creating explainable AI components that reveal decision-making processes, ensuring users understand why Rivera takes actions and how their data informs recommendations. Defining and measuring success – establishing evaluation frameworks, A/B testing infrastructure, and metrics for graph quality, agent reliability, and user satisfaction at scale. What We're Looking For Advanced degree (MS/PhD) in Data Science, Computer Science, Machine Learning, Statistics, or equivalent practical experience. 5+ years of experience in applied data science or ML engineering, with demonstrated expertise in at least several of the following: Strong foundations in classical and modern machine learning – supervised/unsupervised learning, feature engineering, model selection, evaluation, and optimization. Knowledge graph construction, entity resolution, and graph-based ML (e.g., GNNs, graph embeddings, link prediction). Data taxonomy design, ontology development, and large-scale data normalization across heterogeneous sources. Natural language processing (NLP) – text extraction, named entity recognition, semantic similarity, intent classification, and embedding generation. Agentic AI architectures, including multi-agent systems, tool use, planning, and autonomous workflow orchestration. Vector databases and semantic search (pgvector, Pinecone, or equivalent) for embedding storage and similarity retrieval at scale. Designing, deploying, and measuring end-to-end ML systems in production at scale (>1M daily interactions). Real-time data pipelines (Apache Kafka, Spark, or equivalent). Graph databases (Neo4j, AWS Neptune, or equivalent). Python and the modern ML stack (PyTorch, scikit-learn, HuggingFace, etc.). Balancing model performance with computational efficiency. Above all, you must have: A startup mentality – you thrive in fast-paced environments with ambiguous requirements, can context-switch between strategic thinking and hands-on execution, and are energized (not daunted) by building something from scratch. Full ownership mindset – you will own everything data science at River. If it touches data, models, or intelligence, it's yours. You don't wait for specifications; you identify what needs to be done and drive it forward. Strong communication skills and the ability to translate complex technical concepts for non-technical stakeholders. A strong interest and awareness of the rapidly changing fields of agentic AI, knowledge graphs, and machine learning. A passion for ethical AI design and data sovereignty principles, sharing our vision that AI should empower users, not exploit them. Nice to have: LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). Experience with collaborative filtering and recommendation systems. Familiarity with API integration patterns (REST/gRPC/GraphQL). Background in data marketplaces, data valuation, or privacy-preserving ML. Experience with AWS infrastructure (Neptune, SageMaker, ECS). Why You Should Join River Most engineering jobs are maintenance work on someone else's idea. This isn't that. The core technology is built, the patents filed, and the partnerships in place. The work ahead is the work that matters: taking what we've proven into the hands of real users, at scale, and building the company around it. You will ship things that millions of people will use. The team blends operator experience, engineering depth, and startup hustle. You get significant equity, real ownership of what you build, a direct line to the founders, and the rare chance to work on problems no one has solved yet. The market is ready. Join us. How to Apply Email recruitment@rivergrp.com This role is remote. Applicants must be currently authorized to work in the United States and will be required to provide evidence of their right to work as part of the hiring process. Standard business hours are based on the Pacific Time Zone and availability during these hours is essential. References will be sought for shortlisted candidates. Apply Now About the company River River is a new platform where you can chat, search, and shop, and get paid for all of it 11-50 Employees Los Angeles 11-50 Information Technology Social Media Artificial Intelligence / Machine Learning Learn more about River Similar Jobs Tatari Buy and measure ads for brands across linear & streaming TV Data Science Manager $160k – $220k Apply Tatari Buy and measure ads for brands across linear & streaming TV Data Science Analyst $70k – $85k Apply Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior/Staff Machine Learning Engineer, Match Team $180k – $295k Apply America on Tech AOT is a nonprofit preparing the next gen of tech leaders from underestimated communities Intro to AI Instructor-LA $7k – $7k • No equity Apply Quilter Compiler for printed circuit boards Senior ML Engineer $180k – $200k Apply Snout Pet wellness plans that actually work Analytics Engineer $100k – $160k • No equity Apply CenterCheck The most comprehensive database for retail sales performance Data Scientist and Data Engineer $65k – $120k • 0.0% – 1.0% Apply AI Training Jobs A platform for remote AI training jobs Senior Software Engineer — AI Automation $220k – $300k • No equity Apply nOps Automated Cloud Optimization Platform Senior Data Platform Engineer $175k – $200k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Agent/tool use At-Scale Braintrust CI/CD Cloud Computing
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API Integration Context engineering Cost Optimization LLM Agents Language Models
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Awear.ai We're building the operating system for the next generation of computing Save Apply Now AI ENGINEER — AGENTIC AI PLATFORM $120k – $200k | Remote ( Argentina +4 ) • San Francisco |4 years of exp |Full Time Posted: 3 months ago Job Location San Francisco Remote Work Policy Onsite or remote Hires remotely in Argentina - Brazil - Canada - Mexico - United States Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Collaboration Hours 8:30 AM - 6:30 PM Pacific Time Relocation Allowed Skills Python API TensorFlow ML ONNX LLMs LangChain Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect Model Context Protocol (MCP) Hiring contact Jennifer Van Beek Founder About the job We're building the operating system for the next generation of computing — one where AI agents replace apps and your technology finally works for you instead of the other way around. We're a stealth-mode startup with a world-class founding team with deep roots in consumer AI, extended reality, and wearable technology — including founders of some of the most recognizable hardware and software platforms of the last decade. We're backed by strategic partnerships with leading silicon and manufacturing companies, and we're hiring our first AI engineer to build the intelligence layer at the core of the platform. This is a rare opportunity to architect the agent infrastructure of a platform that doesn't exist yet — at the layer where always-on contextual AI meets a wearable form factor for the first time. Additional product details shared under NDA. THE ROLE The backend engineers build the infrastructure. The mobile engineers build the user facing surfaces. You build what runs between them — the agents themselves. As our first AI Engineer you will own the design and implementation of our agent layer — the pipelines, reasoning chains, memory retrieval systems, tool integrations, and orchestration logic that turn raw LLM capability into a platform that genuinely replaces the app paradigm. You will work directly with the CEO and across the full engineering team to make sure the agent experience is as technically rigorous as it is experientially compelling. This is a hands-on engineering role. You will write production code, own the agentic runtime architecture, and be directly accountable for the quality of every agent interaction on the platform. You will also be a key voice in decisions about which models to use, how to route between them, and how to structure the memory and context systems that make our platform smarter over time. We actively use AI development tools across our engineering team — Cursor, Claude, Copilot — and expect engineers who use them seriously as a core part of their workflow. WHAT YOU'LL BUILD The platform agent runtime — the core orchestration layer that manages agent sessions, chains reasoning steps, routes to tools, and executes actions on behalf of users Multi-provider LLM integration and routing — selecting and switching between regional and task-specific language models dynamically, with latency, cost, and capability all factored into routing decisions RAG architecture and memory retrieval — the systems that give agents access to the user's persistent, encrypted context layer and make responses smarter and more relevant over time Tool and skill integration pipelines — the infrastructure that connects agents to external APIs, device capabilities, and first-party platform features Agent evaluation and observability — the frameworks that measure agent quality, surface failures, and give the team visibility into how agents are actually performing in production On-device inference optimization — working with the mobile and firmware teams to identify which parts of the agent pipeline can run locally on device, reducing latency and cloud dependency as the platform evolves toward wearable hardware Prompt architecture and system design — the structured prompting frameworks, system instructions, and context management patterns that govern agent behavior consistently across the platform WHAT WE'RE LOOKING FOR 4+ years of software engineering experience with at least 2 years working directly on LLM-based systems in production Deep hands-on experience with LLM integration — not just API calls but genuine understanding of how to build reliable, scalable, low-latency AI pipelines Strong experience with RAG architectures — vector databases, embedding pipelines, retrieval optimization, context window management Familiarity with agent frameworks and orchestration patterns — LangChain, LlamaIndex, AutoGen, or similar, with a clear point of view on their strengths and limitations Solid Python engineering skills — you are writing production code, not research notebooks Experience evaluating LLM outputs at scale — building evals, measuring quality, detecting regressions Genuine understanding of the tradeoffs between different LLMs — capability, latency, cost, privacy implications — and experience making routing decisions in production systems Active user of AI-assisted development tools with a genuine point of view on how to use them well Strong written English and proven ability to work effectively in a remote and distributed team Must be authorized to work in the US Strong plus: experience with on-device or edge inference — Core ML, ONNX, TensorFlow Lite, or similar; multi-agent system design; always-on or streaming inference architectures; privacy-preserving AI systems; wearable or mobile AI platform experience WHAT WE OFFER Salary: competitive depending on experience Meaningful early-stage equity Full medical, dental, and vision coverage Fully remote with occasional in-person time in Silicon Valley or Paris for key milestones Awear is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply Now About the company Awear.ai We're building the operating system for the next generation of computing 11-50 Employees New York City 11-50 Enterprise Software Software Wearables Software Engineering Learn more about Awear.ai Founders Jennifer Van Beek Founder View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Better Than Average Bet on the Team! DJ - Music Internship Program $1k – $1k • No equity Apply Svix (YC W21) Enterprise ready webhooks service. 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Awear.ai We're building the operating system for the next generation of computing Save Apply Now ANDROID SOFTWARE ENGINEER — AGENTIC AI PLATFORM $120k – $170k | Remote ( Argentina +4 ) • San Francisco |4 years of exp |Full Time Posted: 3 months ago Job Location San Francisco Remote Work Policy Onsite or remote Hires remotely in Argentina - Brazil - Canada - Mexico - United States Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Relocation Allowed Skills Android RTOS AOSP Kotlin About the job We're building the operating system for the next generation of computing — one where AI agents replace apps and your technology finally works for you instead of the other way around. We're a stealth-mode startup with a world-class founding team with deep roots in consumer AI, extended reality, and wearable technology — including founders of some of the most recognizable hardware and software platforms of the last decade. We're backed by strategic partnerships with leading silicon and manufacturing companies, and we're hiring our first mobile engineers to build the client experience from the ground up. This is a rare opportunity to build a genuinely novel Android experience — not a phone app, but a platform designed from the start to live on your face. Additional product details shared under NDA. THE ROLE This is not a standard Android engineering role. You will be working across two surfaces simultaneously — a standard Android mobile app that mirrors an iOS experience, and an AOSP-based custom Android build running on wearable hardware. You will be making foundational decisions about how an agentic AI platform feels and behaves in a wearable form factor — a problem that has no established conventions and very few reference points. You should also know that the wearable platform will expand from AOSP to RTOS asap. The right candidate for this role is excited by that transition rather than daunted by it — someone who thinks about platform architecture and is comfortable moving between layers of the stack as the hardware evolves. You will work directly with the CEO and a small, high-trust engineering team across Silicon Valley, Paris, including close collaboration with a China-based firmware team who own the hardware bring-up. We actively use AI development tools across our engineering team — Cursor, Claude, Copilot — and expect engineers who use them seriously as a core part of their workflow. WHAT YOU'LL BUILD A standard Android mobile app at feature parity with our existing iOS experience — bringing the Agentic OS to Android users with the same interaction quality and design integrity An AOSP-based client for wearable hardware — building the application layer on top of a custom Android stack running on a constrained wearable form factor The agent interaction surface for wearables — defining what it means to interact with an always-on AI when there is no touchscreen, no keyboard, and no conventional UI paradigm to fall back on A platform architecture that is designed to survive the transition from AOSP to RTOS — thinking ahead so that the work done today does not need to be discarded when the platform evolves Close integration with the firmware team — bridging the application layer and the hardware bring-up work happening in Shenzhen On-device processing integrations — working to minimize cloud dependency and maximize what runs locally on constrained hardware WHAT WE'RE LOOKING FOR 4+ years of Android engineering experience with strong Kotlin skills Solid understanding of Android platform internals — not just application-layer Android but a genuine understanding of how the platform works beneath the surface AOSP experience — having worked with or built on top of the Android Open Source Project is a meaningful advantage for this role and the nature of the wearable work makes it highly desirable Experience with constrained or non-standard hardware environments — wearables, embedded Android, custom form factors, or similar Comfort working at the intersection of application software and hardware — you will be collaborating closely with firmware engineers and need to understand their world well enough to have productive conversations across the boundary Familiarity with RTOS concepts is a plus given the platform transition planned for later this year Active user of AI-assisted development tools with a genuine point of view on how to use them well Strong written English and proven ability to work effectively in a remote and distributed team Must be authorized to work in the US Strong plus: experience with voice or audio-first interfaces, always-on background processing, custom input methods or non-touch interaction paradigms, wearable or AR platform development WHAT WE OFFER Salary: $140,000–$170,000 depending on experience Meaningful early-stage equity Full medical, dental, and vision coverage Fully remote with occasional in-person time in Silicon Valley or Paris for key milestones Awear is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply Now About the company Awear.ai We're building the operating system for the next generation of computing 11-50 Employees New York City 11-50 Enterprise Software Software Wearables Software Engineering Learn more about Awear.ai Founders Jennifer Van Beek Founder View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Svix (YC W21) Enterprise ready webhooks service. Open source and cloud hosted Rust Backend Engineer $130k – $180k Apply Prime Intellect open superintelligence and infra Member of Technical Staff - Full Stack Software Engineer $150k – $300k Apply Artie Software that streams data from databases to warehouses in real-time Senior Product Engineer $150k – $230k Apply Fambot AI AI Chief of Staff for Families Founding Backend Engineer $100k – $180k • 0.1% – 1.0% Apply Green The Color of Money Backend / Python Software Engineer (Staff, Principal, Lead) $300k – $380k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Awear.ai We're building the operating system for the next generation of computing Save Apply Now iOS SOFTWARE ENGINEER — AGENTIC AI PLATFORM $120k – $200k • 0.25% – 0.75% | Remote ( Argentina +4 ) • San Francisco |4 years of exp |Full Time Posted: 3 months ago Job Location San Francisco Remote Work Policy Onsite or remote Hires remotely in Argentina - Brazil - Canada - Mexico - United States Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Relocation Allowed Skills Swift CoreML SwiftUI About the job We're building the operating system for the next generation of computing — one where AI agents replace apps and your technology finally works for you instead of the other way around. We're a stealth-mode startup with a world-class founding team with deep roots in consumer AI, extended reality, and wearable technology — including founders of some of the most recognizable hardware and software platforms of the last decade. We're backed by strategic partnerships with leading silicon and manufacturing companies, and we're hiring our first mobile engineers to build the client experience from the ground up. This is a rare opportunity to shape the interaction model of a platform that doesn't exist yet. Additional product details shared under NDA. THE ROLE You will own our iOS and MacOS applications, and be responsible for iterating rapidly based on early user feedback, and expand it into the full MVP experience — building the client layer that makes our Agentic OS feel genuinely different from anything users have experienced before. You will work directly with the CEO and a small, high-trust engineering team across Silicon Valley, Paris. This is a hands-on engineering role with significant influence over how the platform feels to use — not just how it works. We actively use AI development tools across our engineering team — Cursor, Claude, Copilot — and expect engineers who use them seriously as a core part of their workflow. WHAT YOU'LL BUILD The core iOS client for our Agentic OS — iterating on an existing Swift/SwiftUI codebase and expanding its capabilities toward full MVP release The agent interaction layer — the surface through which users experience always-on contextual AI for the first time, with no app icons, no menus, and no friction The memory and context UI — making the platform's persistent, encrypted memory layer feel intuitive and trustworthy to users A companion mode that previews the wearable device experience — giving early users a window into what platform will feel like as a wearable before the hardware ships On-device processing integrations — working closely with the backend team to minimize cloud dependency and maximize what runs locally on device A feedback and iteration loop with closed beta users — this is a friends and family release and you will have direct access to real user reactions WHAT WE'RE LOOKING FOR 4+ years of iOS engineering experience with strong Swift and SwiftUI skills Deep understanding of iOS platform patterns — lifecycle, state management, background processing, permissions, notifications Experience building consumer-facing products where UX quality and interaction polish matter as much as technical correctness Comfort inheriting and improving an existing codebase rather than building exclusively greenfield Familiarity with on-device ML frameworks — Core ML, Create ML, or similar — is a strong plus given our emphasis on local processing Active user of AI-assisted development tools with a genuine point of view on how to use them well Strong written English and proven ability to work effectively in a remote and distributed team Must be authorized to work in the US Strong plus: experience with always-on or background audio processing, privacy-preserving on-device data architectures, wearable or AR companion app experience WHAT WE OFFER Salary: competitive depending on experience Meaningful early-stage equity Full medical, dental, and vision coverage Fully remote with occasional in-person time in Silicon Valley or Paris for key milestones Awear is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply Now About the company Awear.ai We're building the operating system for the next generation of computing 11-50 Employees New York City 11-50 Enterprise Software Software Wearables Software Engineering Learn more about Awear.ai Founders Jennifer Van Beek Founder View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Svix (YC W21) Enterprise ready webhooks service. Open source and cloud hosted Rust Backend Engineer $130k – $180k Apply Prime Intellect open superintelligence and infra Member of Technical Staff - Full Stack Software Engineer $150k – $300k Apply Artie Software that streams data from databases to warehouses in real-time Senior Product Engineer $150k – $230k Apply Fambot AI AI Chief of Staff for Families Founding Backend Engineer $100k – $180k • 0.1% – 1.0% Apply Green The Color of Money Backend / Python Software Engineer (Staff, Principal, Lead) $300k – $380k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Headquarters: We are seeking a Senior Software Engineer to build and scale production-grade AI-powered financial products. This is a hands-on engineering role focused on backend platform development, AI integration, and distributed systems. The ideal candidate has strong experience with TypeScript, Python, cloud-native architectures, and applying LLMs in real-world production environments. General Information Our client is a fast-growing, Series A-backed AI company delivering agentic AI solutions to banks and credit unions. Their platform is already serving over 100 financial institutions and more than 10 million end users. The Senior Software Engineer will work closely with the VP of Engineering, CTO, and CEO to design, build, and operate scalable backend services and AI-powered applications. This role combines platform engineering with practical AI implementation, requiring an engineer who enjoys building production systems rather than conducting AI research. Tasks and Deliverables Design, develop, and maintain scalable backend services powering AI-driven financial products. Own technical decisions across system architecture, APIs, data models, performance, security, and reliability. Build backend applications using TypeScript and Python, while contributing to frontend functionality with JavaScript when needed. Integrate LLMs and agentic AI capabilities into production software. Design and implement distributed, cloud-native systems with strong observability and operational excellence. Define engineering best practices around code quality, testing, deployment, and incident response. Collaborate closely with product, design, data, and engineering leadership to deliver customer-facing features. Utilize modern AI development tools to improve engineering productivity and software quality. Required Experience 5+ years of professional software engineering experience building production-grade applications. Strong proficiency in TypeScript and/or Python. Experience designing scalable backend systems, APIs, and distributed architectures. Strong knowledge of cloud platforms such as AWS or GCP. Hands-on experience integrating Large Language Models (LLMs) into production applications. Experience with prompt engineering and applying AI to solve real business problems. Strong understanding of software architecture, scalability, performance optimization, reliability, and security. Experience working in fast-paced product environments with significant technical ownership. Bachelor's degree in Computer Science or related discipline. Preferred Experience Conversational AI, Agentic AI, NLP, or dialogue systems. Fintech, banking, or regulated industry experience. Startup experience building products from early stages through scale. Experience with observability, CI/CD, Kubernetes, Docker, and modern DevOps practices. Familiarity with AI developer tools such as Cursor or Claude Code. Engagement Highlights Build production AI systems used by millions of banking customers. Work directly with executive engineering leadership on high-impact technical initiatives. Hands-on engineering role with ownership across architecture, implementation, and delivery. Opportunity to combine backend engineering expertise with practical LLM and agentic AI development. Join a profitable, AI-first company building the next generation of intelligent financial services. To apply: https://weworkremotely.com/remote-jobs/toptal-senior-software-engineer-for-ai-powered-banking-platform
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We are looking for a Senior Python Software Engineer with at least 5 years of professional experience developing backend applications using Python to join our engineering team. In this role, you will help design, build, maintain, and evolve scalable backend services that power our platform. You will be responsible for implementing high-quality software solutions, optimizing application performance, and contributing to the architecture and long-term evolution of our systems. Working closely with cross-functional teams, you will participate in technical design discussions, mentor fellow engineers, and promote engineering best practices. This role requires deep technical expertise in Python, Django, distributed systems, and modern software engineering principles. Tasks
Design, develop, and implement new functionality for decoupled backend services.
Maintain, enhance, and refactor existing backend applications to improve scalability, reliability, and maintainability.
Analyze and optimize application performance, database queries, and overall system efficiency.
Take ownership of backend services throughout their lifecycle, including architecture, deployment, production support, monitoring, and continuous improvement.
Participate actively in technical design discussions, solution architecture, and project planning sessions.
Collaborate with engineers, product managers, and stakeholders to deliver high-quality software solutions.
Review code, provide constructive feedback, and champion engineering best practices through peer collaboration.
Mentor and support other team members by sharing technical expertise and assisting with complex engineering challenges.
Troubleshoot production issues using profiling, monitoring, logging, and diagnostic tools.
Produce and maintain clear technical documentation, architectural diagrams, and design specifications.
Evaluate emerging technologies and recommend improvements to the engineering stack where appropriate.
Effectively utilize AI-powered development tools (such as Claude Code, GitHub Copilot, or Codex) to accelerate software development while ensuring code quality, correctness, security, and maintainability.
Requirements
At least 5 years of professional experience developing backend applications with Python .
Strong commercial experience building web applications using Django and the Django ORM.
Solid experience working with relational databases, particularly MySQL .
Experience designing, developing, and consuming RESTful APIs , GraphQL , or similar service interfaces.
Experience working with distributed systems and asynchronous messaging technologies such as Celery .
Strong understanding of object-oriented programming, software design patterns, clean architecture, and distributed system design.
Experience using Git-based version control workflows, including branching strategies, pull requests, and code reviews.
Experience writing technical documentation and software design specifications.
Strong debugging, troubleshooting, and performance optimization skills using profiling tools, SQL execution plans, application monitoring tools (e.g., New Relic), and related technologies.
Ability to work independently, take ownership of technical solutions, prioritize tasks effectively, and proactively resolve issues.
Strong communication and collaboration skills with the ability to participate in technical discussions and mentor other engineers.
Preferred Qualifications
Experience with supporting technologies such as Redis , Memcached , Elasticsearch , and Celery .
Experience building, deploying, and operating cloud-native or highly scalable backend services.
Experience working within Agile/Scrum development environments.
Hands-on experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, or Codex) for code generation, testing, debugging, refactoring, and code review while applying sound engineering judgment to validate and improve generated output.
Experience mentoring junior and mid-level engineers and contributing to engineering standards and best practices.
Benefits
All employees benefits for free (our famous games room, daily breakfast, fruits, coffee and other hot drinks, soft drinks and juices, company days out and parties…)
Social insurance
Open-door management policy
Full Medical insurance
Accommodation and Transportation Allowance
Friendly environment that values innovation and efficiency
Exciting opportunities for career growth and talent development
Feedback encouragement
Recognition and reward programs
Competitive salaries and incentives
Friendly environment
Flexible and Comfortable schedule
Fun committees
Monetary rewards
Fun, smart and creative people
Career possibilities with growing team
Paid vacations
Social benefits
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Podium Actively Hiring Everything local businesses need to win Responds within three weeks B2B Scale Stage +3 Save Apply Now Senior AI Engineer - Agentic Remote ( United States ) • Lehi |Full Time Reposted: 4 months ago Job Location Lehi Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job The Role Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat). If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you! What you will be doing Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale. Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions. Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability. Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience. Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes. What you should have 6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir. 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Proven success designing and maintaining distributed or high-throughput systems. Strong problem-solving ability and comfort navigating ambiguity in large-scale systems. Excellent communication skills and the ability to work effectively across teams. A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving. Ability to thrive in a fast-paced environment with shifting priorities. What we hope you have 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring. Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior. Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. Hands-on experience with fine-tuning and data curation for improving model performance. Why you’ll love working here: Podium is the best place to work to: Join the leaders in AI agents Unlock career-defining growth Build with world-class talent Make a real impact on local business Benefits: Open and transparent culture Life insurance, long and short-term disability coverage Paid maternity and paternity leave Fertility Benefits Generous vacation time, plus three 4-day summer holiday weekends Excellent medical, dental, and vision benefits 401k Plan with company matching Bi-annual swag drops with cool Podium gear and apparel A stellar HQ (Utah) gym with local professional coaches and classes offered Onsite HQ (Utah) child care center, subsidized for employees Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status. Apply Now About the company Podium Actively Hiring Everything local businesses need to win 1001-5000 Employees Utah 1001-5000 Software B2B Local Small and Medium Businesses Reviews and Recommendations Franchises Responds within three weeks B2B Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Podium Funding AMOUNT RAISED $418.5M FUNDED OVER 6 rounds Rounds D $201000000 Series D - Nov 2021 +5 View Podium's funding history Founders Dennis Steele Founder Eric Rea Founder View the team For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Powercloud Consulting India Actively Hiring Save Apply Now Agentic AI Engineer ₹22L – ₹30L • No equity | Remote ( India ) |4 years of exp |Full Time Reposted: 1 week ago• Recruiter recently active Hires remotely in India Remote Work Policy Remote only Company Location Bangalore Urban Visa Sponsorship Available Relocation Allowed Skills Python Machine Learning AI Generative AI LLMs About the job Job Summary: Power Cloud Consulting is looking for a Gen AI engineer to build both Traditional AI/ML as well as Generative AI and Agent based systems. The candidate should be highly skilled in programming & statistics with the ability to confidently assess, analyze, and organize large amounts of data. This is a high-ownership “do whatever it takes” role for someone who wants to operate at founder speed, learn the full stack of an ERP Services business, and ship work that directly moves revenue, conversion, and retention. Technical Skills: ● Hands on experience with building solutions using the language models, machine learning and AI models leveraging industry tools, products, and cognitive services ● Expertise in writing clean, efficient, and scalable Python code, with strong understanding of asynchronous programming, APIs, and modular design. ● Hands-on experience with frameworks like LangChain, LangGrpah, LlamaIndex, LlamaIndex, Semantic Kernel or Haystack, and integrating large language models (e.g., OpenAI, Gemini, Vertex, Bedrock, Anthropic, Mistral) into real-world applications ● Ability to design and optimize prompts, build autonomous agents, and orchestrate multi-step reasoning using tools like AutoGen, LangGraph or CrewAI ● Experience in building and managing agent ecosystems that interact with APIs, databases, and external tools to accomplish goals ● Experience deploying GenAI solutions on cloud platforms (AWS, Azure, GCP), with familiarity in containerization (Docker), CI/CD, and model lifecycle management. ● Deep and hands-on expertise in undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data ● Independently build and demo rapid generative AI demos and solutions with short notices ● Expertise in completions, embeddings, edits, transcriptions, translations, fine-tunes, and moderations across the several large language models especially those of OpenAI, Bedrock or Vertex ● Develop AI-driven tools for code generation, documentation automation, ticket summarization, and knowledge retrieval. ● Integrate GenAI services with enterprise platforms such as NetSuite, GitHub, and internal applications. ● Work with vector databases and embeddings to enable intelligent search and contextual AI responses. ● Collaborate with DevOps teams to deploy AI solutions on cloud platforms such as Azure, AWS, or GCP. ● Experience with Large Language Models, such as OpenAI, equips you with the capability to create sophisticated AI applications. ● Hands-on knowledge of RAG architectures allows you to enhance information retrieval processes effectively. ● Well-versed in vector databases like Pinecone, FAISS, or Weaviate, enhancing your ability to create intelligent search mechanisms. Behavioural Skills: ● Passionate about technology and customer success with excellent communication and articulation skills ● Bring innovation by coming up with ideas, differentiators, and development of tools / accelerators to differentiate us in the market. ● Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. ● Research, curate, and record tutorials on various applications of data science and machine learning Apply Now About the company Powercloud Consulting India Actively Hiring 1-10 Employees Bangalore Urban 1-10 Technology Learn more about Powercloud Consulting India Similar Jobs Kawa Space ELINT & SIGINT Machine Learning Engineer I ₹20L – ₹20L • No equity Apply Kawa Space ELINT & SIGINT Machine Learning Engineer II ₹30L – ₹30L • No equity Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI AI-ML Engineer ₹1L – ₹2.5L • No equity Apply Scribie Audio/video transcription Service Data Ops Engineer ₹8L – ₹9L Apply Supaboard Cursor for data analysts AI Engineer ₹12L – ₹18L • 0.0% – 1.0% Apply MaxHome.ai AI native operating system for residential real estate Senior Machine Learning Engineer ₹45L – ₹50L Apply Omara Technologies Expert-in-the-Loop AI for Government & Regulated Entities Software Engineer, Distributed Systems & AI Infrastructure ₹24L – ₹40L • 0.0% – 0.5% Apply Sagepilot AI AI Implementation Engineer - Internship ₹40,000 – ₹50,000 • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Careers / Research & Data Science Machine Learning Research Scientist About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Machine Learning Research Scientist, you’ll help shape how the world’s most advanced AI models are trained, aligned, and evaluated. You’ll work on highly practical problems at the intersection of research and deployment — from designing model-in-the-loop data pipelines, to evaluating frontier LLMs, to prototyping new methods for data-centric RLHF. You’ll collaborate closely with our internal engineering team and our partners at top AI labs, turning research ideas into systems that improve real-world model behavior. This is a role for someone who wants to move fast, stay close to production, and make research that matters. What We’re Looking for Deep Understanding of Machine Learning – Experience with large models, generative AI, or alignment methods Scrappy, Outcome-Oriented Mindset – Comfortable working in ambiguous spaces, shipping quickly, and refining as you go Collaborative Instincts – Excitement to partner with world-class researchers, data scientists, and engineers Interest in Human Feedback Systems – Enthusiasm for using human-in-the-loop methods to shape model behavior and safety What You'll Do Prototype a new red-teaming workflow using LLMs as adversarial agents Design reward model experiments and run offline evaluation pipelines Explore methods for filtering or structuring model training data to improve safety and robustness How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations Human Data Architect About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Human Data Architect at Surge, you'll design the systems that govern how human data is collected, structured, and delivered to train frontier AI models. This means thinking carefully about task design, evaluation methodology, and data pipeline architecture — with a constant eye on how design choices upstream affect model behavior downstream. This role sits at the intersection of ML post-training and human data collection methodology. You'll need to understand what makes a good SFT example, what an RLHF pipeline needs to produce useful training signal, and how to structure evaluation datasets that actually discriminate between model capabilities — and then build the collection and delivery systems to produce that data reliably at scale. What You'll Do Architect end-to-end data workflows — from task design through quality assurance and delivery — ensuring each stage produces data that is well-structured for its post-training purpose (e.g., SFT, RL, model evaluation). Design collection structures and task frameworks that translate what clients need from a model into concrete, scalable data generation processes. Build and monitor data quality frameworks that catch problems before they reach the client. Partner with engineering and product teams to improve data pipelines, identifying where structural or methodological changes can improve throughput without sacrificing quality. Translate patterns in data quality and project structure into actionable insights that inform project design, client deliverables, and product development. What We're Looking for Experience designing human data collection at scale — e.g., in computational cognitive science, HCI, crowdsourcing research, or a similar field where you've thought carefully about how to get reliable signal from human participants. Familiarity with ML post-training paradigms (e.g., SFT, RL) and a working intuition for how data quality decisions map onto model outcomes. Strong technical skills with the ability to work across data pipelines, not just analyze endpoints. Systems-level thinking — you unders
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Careers / Platform Engineering & Infrastructure Staff Product Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role This is a senior, hands-on engineering role for builders who want full ownership. As a Staff Product Engineer at Surge, you will own the direction and execution of critical products that sit at the center of modern AI development. You’ll operate with a high degree of autonomy, make consequential technical and product decisions, and ship quickly. We are a small, dynamic team operating at the center of the AI ecosystem. You’ll collaborate closely with engineering leaders and researchers from top technology companies to build products that support advanced AI training techniques. What We’re Looking for 7+ years of experience building and shipping production software Demonstrated experience leading projects with significant scope and ambiguity Product-focused mindset: you thrive on rapidly shipping features and products that solve real-world problems Passion for AI ethics: you’re committed to making AI models safer and more useful for society Excellent communication skills: you can clearly explain decisions and trade-offs to other senior engineers Startup experience (early-stage engineer or founder strongly preferred) Experience with Python or Ruby on Rails, and React/Typescript CS degree from a top school or equivalent STEM background What You’ll Do Develop innovative solutions to enhance annotation efficiency using the latest AI advancements. Create intuitive interfaces for data exploration and visualization, including tools for RLHF processes. Design and implement systems for large-scale data processing to support AI model training and evaluation. Build interactive products to effectively communicate complex instructions to our workforce. Contribute to products that facilitate the collection and analysis of human feedback for RLHF and other AI training methodologies. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence
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Careers / Platform Engineering & Infrastructure Product Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Product Engineer at Surge, you'll work on cutting-edge projects that directly impact the AI industry. You'll collaborate with a small, dynamic team of engineering leaders and ML practitioners from top tech companies to build products that support advanced AI training techniques. What We’re Looking for Product-Focused Mindset : You thrive on rapidly shipping new features and products that solve real-world problems. Passion for AI Ethics : You're committed to making AI models safer and more useful for society. Autonomous Self-Starter : You excel in a small team environment and take ownership of your work. What You’ll Do Develop innovative solutions to enhance annotation efficiency using the latest AI advancements. Create intuitive interfaces for data exploration and visualization, including tools for RLHF processes. Design and implement systems for large-scale data processing to support AI model training and evaluation. Build interactive products to effectively communicate complex instructions to our workforce. Contribute to products that facilitate the collection and analysis of human feedback for RLHF and other AI training methodologies. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations AI Operations Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As an AI Operations Engineer at Surge, you'll lead initiatives that directly impact our products and our customers. You'll be part of our operations team and collaborate closely with engineering solve our most complex challenges. This role is ideal for someone earlier in their career — or looking to apply a technical background in a new context — who thrives in rapidly scaling, high-ambiguity environments. You'll spend a meaningful portion of your time designing and building — whether that's data processing pipelines, custom internal tooling, or AI-powered systems that improve how we deliver and evaluate work at scale. You'll also own the end-to-end design and execution of data collection projects for frontier AI labs — defining task structures, building quality frameworks, and shipping datasets that directly improve the world's most advanced models. What You’ll Do Design and build scalable systems and tooling — including data processing pipelines, automation workflows, and AI-based quality control tools — working closely with engineering to ship solutions to real operational problems. Establish and expand scalable processes to enhance customer support and value delivery. Drive execution of multiple simultaneous cross-functional projects, setting timelines and managing deadlines. Interface with a variety of technical and non-technical stakeholders. What We’re Looking for Background in CS, engineering, or another quantitative field preferred. Hands-on coding experience (Python or similar) and comfort building tools and systems from scratch — not just scripting, but designing solutions to real operational problems. Proven track record of navigating ambiguity and executing complex, cross-functional projects in a high-performing environment. Strong interpersonal skills that enable you to influence without authority and build cross-organizational alignment. Comfortable working through trade-offs, balancing competing priorities, and having your mind changed. Deep interest in AI systems — direct AI/ML experience valued but not required. How to Apply We'
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Careers / Field Engineering & Operations AI Programs Analyst About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As an AI Programs Analyst at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams to solve our most complex challenges. This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations. What You’ll Do Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Drive execution of multiple simultaneous, cross-functional projects and/or programs. Effectively set timelines and manage teams to deadlines. Interface with a variety of technical and non-technical stakeholders. What We’re Looking for Strong organizational skills with the ability to manage multiple projects and competing deadlines with minimal oversight. Comfortable with ambiguity — you can structure a problem, identify what needs to happen, and move without waiting to be told. Able to influence without authority and build alignment across teams with different priorities. Genuinely curious about AI and motivated to work close to the frontier — direct AI/ML experience is a plus but not required. Familiarity with data pipelines or tools like SQL or Python is a plus but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Research & Data Science Data Scientist About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Data Scientist, you’ll partner directly with leading AI labs to shape how their models are trained, evaluated, and improved. You’ll embed with research teams to understand their performance bottlenecks, design targeted data collection strategies, and analyze experimental results to drive model progress. This role is ideal for someone who thrives on impact and iteration — someone who loves digging into ambiguous problems, rapidly prototyping data workflows, and turning messy real-world feedback into actionable insight. Your work will live at the heart of frontier AI development, influencing how the most advanced models learn and align with human values. What We’re Looking for Passion for Data Analysis - Analyzing data and iterating on collection methods to improve model performance Curiosity About LLMs - You've dug into how large language models work — not just as a user, but at a conceptual level. You can speak confidently about fine-tuning, RLHF, evaluation, and model behavior, even if you haven't built one from scratch. Love of Customer Collaboration - You're energized by working directly with AI researchers and technical customers. You can translate complex model behavior into clear insights, ask good questions, and earn trust in a room full of experts Python Proficiency - You're comfortable writing Python to analyze data, build pipelines, and prototype workflows. You don't need to be a software engineer, but code is one of your primary tools What You'll Do Design data collection workflows optimized for particular model needs Implement quality controls to reduce biases and ensure model safety Run experiments to make leading models more insightful, compelling, safe, and human aligned How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Research & Data Science Forward Deployed Data Scientist About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Forward Deployed Data Scientist, you’ll partner directly with leading AI labs to shape how their models are trained, evaluated, and improved. You’ll embed with research teams to understand their performance bottlenecks, design targeted data collection strategies, and analyze experimental results to drive model progress. This role is ideal for someone who thrives on impact and iteration — someone who loves digging into ambiguous problems, rapidly prototyping data workflows, and turning messy real-world feedback into actionable insight. Your work will live at the heart of frontier AI development, influencing how the most advanced models learn and align with human values. What We’re Looking for Passion for Data Analysis - Analyzing data and iterating on collection methods to improve model performance Curiosity About LLMs - You've dug into how large language models work — not just as a user, but at a conceptual level. You can speak confidently about fine-tuning, RLHF, evaluation, and model behavior, even if you haven't built one from scratch. Love of Customer Collaboration - You're energized by working directly with AI researchers and technical customers. You can translate complex model behavior into clear insights, ask good questions, and earn trust in a room full of experts Python Proficiency - You're comfortable writing Python to analyze data, build pipelines, and prototype workflows. You don't need to be a software engineer, but code is one of your primary tools What You'll Do Design data collection workflows optimized for particular model needs Implement quality controls to reduce biases and ensure model safety Run experiments to make leading models more insightful, compelling, safe, and human aligned How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy
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Careers / Field Engineering & Operations Strategic Product Manager About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Strategic Product Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. This role is ideal for someone who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations. What You'll Do Drive customer-centric product development by deeply understanding pain points and delivering impactful solutions, while overseeing project execution and account management activities. Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Gather and leverage data-driven insights to improve customer models and our ability to consistently enhance their performance. What We're Looking for Experience in product management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects. Experience managing data pipelines and ensuring data quality is a plus — SQL, Python, or similar tools are preferred but not required. Strong analytical skills and data-driven approach, coupled with experience in market research, competitive analysis, and deriving actionable product insights. Deep interest in AI systems (direct AI/ML experience valued but not required) and excellent project management skills, including the ability to oversee project teams and collaborate effectively across departments. A commitment to making the next generation of AI models safer and more useful. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re e
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Careers / Field Engineering & Operations Strategic Projects Lead About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Strategic Projects Lead at Surge, you will ensure that our data collection, processing, and management systems operate efficiently and scale with our growing needs. You will work closely with engineering, product, and operations teams to ensure that our data pipelines and processes are optimized for both speed and quality. This is a great opportunity for someone who thrives in dynamic environments and is passionate about making data flow seamlessly through complex systems. What You'll Do Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately. Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems. Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models. Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality. Provide actionable insights from data analysis, supporting teams in decision-making and product development. What We're Looking for Experience managing data pipelines and ensuring data quality is a plus — SQL, Python, or similar tools are preferred but not required. Excellent problem-solving skills and a data-driven approach to improving processes and systems. Strong collaboration skills with the ability to work cross-functionally and communicate complex data issues to non-technical stakeholders. Interest in AI/ML systems is a plus, but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Forward Deployed Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Forward Deployed Engineer, you’ll work directly with top AI labs to design and ship the infrastructure behind their most critical data workflows. You’ll embed with cutting-edge research teams, understand their model challenges, and build the pipelines, tools, and automations that move their experiments forward. This isn’t a heads-down backend role — you’ll be on the frontlines, blending engineering with problem-solving, and translating ambiguous research needs into high-leverage technical systems. Your work will directly shape how the world’s most advanced models are trained and evaluated — and you’ll ship fast, iterate constantly, and see the impact of your work in real time. What We’re Looking for Passion for Building Tools – Developing robust, scalable systems to accelerate AI data workflows Interest in Applied ML – Curiosity about how models work and excitement to build infrastructure that drives model improvements Love of Collaboration – Desire to work hand-in-hand with top AI labs, shipping engineering solutions that make an immediate impact What You'll Do Design custom data pipelines and integrations to collect and process high-quality training and evaluation data Build technical infrastructure for advanced quality control workflows, including model-in-the-loop and human-in-the-loop systems Develop tools to automate experiments that improve model safety, interpretability, and human alignment How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Research & Data Science Research Scientist About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Research Scientist focused on data, you’ll work at the cutting edge of LLM development by designing the datasets that shape how frontier models behave. You’ll partner directly with AI research teams to experiment with new data collection strategies, evaluate dataset quality, and uncover insights that improve alignment, safety, and model performance. This is a research-driven, impact-heavy role: you’ll have the opportunity to test ideas quickly in live production environments, shape data-centric methodologies for some of the world’s top AI labs, and help define how high-quality data fuels the next generation of AI systems. What We’re Looking for Deep Curiosity About Data – Obsession with understanding how the structure, quality, and selection of data influence LLM performance Bias Toward Insight and Iteration – You think critically but move fast, designing lightweight experiments to generate actionable results Desire to Shape AI Development – Drive to build the foundational data layer that defines how the next generation of AI systems behave What You'll Do Research data collection strategies and designing high-impact data slices that uncover model failure modes Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Staff Fullstack Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role This is a senior, hands-on engineering role for builders who want full ownership. As a Staff Fullstack Engineer at Surge, you will design and build the core systems that power our platform, owning everything from frontend product decisions to backend architecture. You’ll operate with a high degree of autonomy, make consequential technical decisions, and ship quickly. We are a small, dynamic team operating at the center of the AI ecosystem. You’ll collaborate closely with engineering leaders and ML practitioners from top technology companies to build fast, reliable, and scalable tools that support advanced AI training techniques. What We’re Looking for 7+ years of experience building and shipping production software Demonstrated experience leading projects with significant scope and ambiguity Strong fullstack background building and maintaining applications using React/TypeScript and Python or Ruby on Rails Product-focused mindset: you care deeply about usability, performance, and maintainability, and you ship features that solve real-world problems Autonomous self-starter: you thrive in a small team environment and take ownership from idea to production Excellent communication skills: you can clearly explain technical decisions and trade-offs to other senior engineers Startup experience (early-stage engineer or founder experience strongly preferred) CS degree from a top school or equivalent STEM background What You’ll Do Design and build core fullstack systems that power Surge’s platform Own frontend product decisions and backend architecture for high-impact workflows Build scalable systems for data collection, labeling, and evaluation Create fast, reliable, and intuitive tools used by the world’s leading AI labs Take ownership from idea to production, iterating quickly while maintaining a high bar for quality How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Ra
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Careers / Platform Engineering & Infrastructure Full Stack Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Fullstack Engineer, you’ll design and build the core systems that power Surge’s platform — the tools and interfaces that let humans shape frontier AI models. You’ll work across the stack to make data collection, labeling, and evaluation seamless and scalable, owning everything from product design decisions to backend architecture.You’ll partner closely with product, research, and operations to create fast, reliable, and delightful tools that help the world’s top AI labs train safer, smarter, and more capable models. This role is ideal for someone who loves moving quickly, cares deeply about product quality, and thrives in high-ownership environments. What We're Looking for Experience building and maintaining fullstack applications using React/TypeScript and Python or Ruby on Rails. You care about the intersection of performance, usability, and maintainability, and you design systems that are simple, scalable, and resilient. You translate technical concepts clearly, enjoy working cross-functionally, and have a bias for shipping. You take ownership from idea to production, iterate fast, and write code that stands the test of time. How to Apply To apply, please email careers@surgehq.ai with your resume and 2–3 sentences describing your interest in Surge. We love personal projects, code samples, or writing too Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Data Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Data Engineer, you'll design and maintain the infrastructure that powers our AI data workflows and business analytics. You'll work closely with ML engineers, product teams, and operations to improve data processing, ensure integrity, and optimize efficiency. Our data systems are streamlined and focused rather than large-scale distributed systems, giving you direct ownership and visibility into the complete pipeline. This environment allows you to make meaningful improvements with immediate impact and gain valuable end-to-end experience across our entire data infrastructure. Our stack includes Snowflake, connectors like Fivetran, Airflow, Postgres, AWS, Python, and Ruby on Rails. What We’re Looking for Data-Centric Mindset: Experience designing and maintaining structured and unstructured data pipelines. Efficiency & Reliability: Ability to optimize and improve data workflows without the need for massive infrastructure. Ownership & Impact: Excited to take initiative and drive improvements in a small, fast-moving team. Interest in AI & ML: While AI experience isn’t required, you’re eager to work with data that fuels next-gen AI models. What You’ll Do Develop and maintain ETL pipelines for AI training data and business analytics Optimize data storage solutions for performance and cost. Ensure data integrity, validation, and reliability across workflows. Build internal tools for data exploration, annotation, and monitoring. Implement security and best practices for handling sensitive data. Why Join Us? Work on impactful AI data challenges without massive infra overhead. Own and shape our data infrastructure and workflows. Have immediate impact in a fast-moving, profitable AI startup. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Backend Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. What We’re Looking for This is a senior, hands-on engineering role for builders who want full ownership. You love building robust, scalable backend systems. You're experienced in designing and implementing efficient data processing pipelines, APIs, and database architectures that can handle large volumes of data. You're passionate about performance optimization. You enjoy tackling complex backend challenges and optimizing systems for speed and efficiency. You care about the problems we’re trying to solve . You're interested in helping make the next generation of AI models safer and more useful. You’re excited about joining a small, growing team. We value autonomy and empower people to do the best work of their career. Some Examples of the Problems We’re Solving What’s the best way to architect large-scale simulated environments that can host hundreds of concurrent agents—each living in its own containerized world—without sacrificing stability or speed? How can we build infrastructure that supports high-throughput model training loops and scales to thousands of environments, while keeping every agent’s world consistent, performant, and observable in real time? How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Platform Engineering & Infrastructure Data Science, Growth About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Growth Data Scientist, , you'll combine your passion for data analysis and experimentation to uncover opportunities, optimize processes, and drive impactful decisions that accelerate Surge’s growth. What You’ll Do Focus on User Growth: Analyze and optimize the onboarding process for new contributors, user acquisition efficiency, and ensure seamless experiences that lead to healthy workforce growth, improved retention, and worker performance. Build Data-Driven Workflows: Develop data pipelines, dashboards, and tools to automate reporting, monitor campaign performance, and enable real-time insights. Identify Retention Strategies: Analyze behavioral patterns, workflows, and feedback to design strategies that boost long-term contributor satisfaction and engagement. Enhance Worker Experience: Use data to evaluate contributor feedback, identify pain points, and implement solutions that foster a productive and engaging environment. What We’re Looking for You love analyzing data. You’re excited to dig into data, uncover insights, and communicate findings that drive meaningful change. You care about growth. You’re passionate about combining data science with marketing and growth strategies to scale a rapidly growing company. You thrive in solving complex problems. You’re interested in the datasets that power AI, and you can work autonomously in fast-paced, ambiguous environments to drive results. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Headquarters: Remote US Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is launching a new initiative to bring the power of voice AI into the in-store restaurant experience . While voice has transformed drive-thru and phone ordering, we believe there’s a large opportunity to make in-store experiences better for guests and more proficient for restaurant teams. This team will explore voice capabilities across front-of-house (guest ordering, service interactions, POS assistance) and back-of-house (kitchen coordination, hands-free workflows, inventory signals). As the Principal Product Manager — Voice AI (In-Store) on the Commerce Platform, you’ll define strategy, evaluate vendors and partners, run zero→one discovery and pilots in real restaurants, and lead commercialization — creating a reusable voice platform that powers multiple use cases across the restaurant. A day in the life (Responsibilities) Define vision & portfolio strategy. Own the long-term vision and multi-quarter roadmap for in-store voice AI and the platform that enables multiple use cases across FOH/BOH. Balance short-term pilots with long-term platform investments. Run vendor & technical evaluation. Lead technical evaluation of voice and AI vendors (ASR, NLU, TTS, edge inference, on-device options) and create benchmarking frameworks for accuracy, latency, privacy, and cost. Lead commercial conversations. Drive vendor commercial discussions (pricing models, licensing, SLAs) and surface negotiation points — partnering with Procurement and Legal who finalize contracts and budget approvals. Drive zero → one discovery and pilots. Plan and execute discovery, rapid prototyping, and in-restaurant pilots; iterate based on operational feedback and scale successful experiments. Design a reusable voice platform. Define APIs, integration patterns, data flows, and tooling that make voice capabilities reusable across guest experiences, staff workflows, and integrations with POS, kitchen systems, and telemetry services. Lead GTM & commercialization. Define pricing, packaging, and go-to-market strategy with Product Marketing, Sales, and Operations; identify commercial models that fit restaurants of different sizes. Coordinate cross-functional delivery. Align Engineering, Hardware Ops, Reliability, Security, Data, Research, Design, Care/Onboarding, and GTM partners to de-risk delivery and adoption. Drive operational readiness & reliability. Define operational playbooks, observability, edge/online failover modes, and post-launch monitoring to ensure reliable in-store behavior and low support cost. Champion field research & validation. Spend time in restaurants to learn operational workflows, validate prototypes, and iterate with real staff and guests. Mentor & shape product practice. Coach senior PMs and engineers on voice/AI product development, vendor evaluation, and responsible AI practices; contribute to the Product Playbook. Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build. What you'll need to thrive (Requirements) AI product delivery experience. ~8+ years shipping complex software products with demonstrated ownership of multi-team programs or a major product portfolio, and experience delivering AI-enabled features or products. AI Model Evaluation. Hands-on experience defining and owning AI model evaluation (examples: WER/CER, intent accuracy, wake-word false accept/reject, latency, completion/task success), building continuous evaluation and model ops processes (drift detection, automated regression tests, A/B testing, rollback/mitigation playbooks), and partnering with ML teams to run experiments and error analysis. Zero → one experience. Proven track record taking a product from discovery through prototype and pilot to scale. Vendor evaluation & commercial acumen. Hands-on experience evaluating AI/voice vendors and participating in vendor commercial conversations (note: Procurement/Legal finalize contracts). Platform mindset. Ability to design reusable APIs and platform capabilities that enable multiple downstream use cases and teams. Customer & ops empathy. Experience conducting on-site discovery and validating prototypes in operational environments (restaurant or other physical venues). Cross-team leadership. Exemplary stakeholder management and ability to align senior partners across hardware, engineering, ops, and GTM, especially on high-visibility initiatives. Communication & influence. Clear, persuasive written and verbal communication; able to synthesize technical tradeoffs and business value for executives and partners. Special Sauce* (Nice to Haves) Speech / voice product experience. Prior experience building voice AI products (ASR/NLU/TTS, or working directly with speech teams) is helpful but not required . Conversational UX & dialog design. Experience designing conversational flows, state management, turn-taking, error recovery and graceful degradation Exposure to hardware considerations for voice (far-field audio, beamforming, noise cancellation, embedded audio processing). Experience with on-device / edge inference and hybrid cloud/edge voice architectures (model quantization, latency/footprint tradeoffs). Familiarity with privacy, compliance, and PII handling for voice data (on-device vs cloud processing, country-level regulations). Background in restaurant, retail, or other physical-world operations . Experience with ML lifecycle tooling, continuous model evaluation, and production A/B testing strategies for AI features. You’ll be measured on (suggested success metrics) Launch and adoption of successful in-store voice pilots (pilot → scale conversion). Measurable operational impact (e.g., staff time saved, reduction in order errors, throughput gains). Guest experience improvements (NPS/CSAT lift for voice flows, voice take rate). Platform reuse (number of distinct use cases / teams reusing core voice APIs). Reliability & support outcomes (uptime targets, reduction in Care tickets related to voice). AI health & model performance: model accuracy (WER/intent accuracy), latency, drift rate, and rate of regressions caught by CI/monitoring systems. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits . #LI-REMOTE The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $165,000 — $264,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com . ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. To apply: https://weworkremotely.com/remote-jobs/toast-principal-product-manager-voice-ai
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Careers / Field Engineering & Operations AI Programs Analyst, Finance Domain About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As an AI Programs Analyst focused on the Finance Domain, you'll lead finance-focused AI initiatives that directly impact our products and customers. You'll leverage your deep understanding of financial concepts — modeling, analysis, accounting standards, risk frameworks — to ensure our AI programs produce expert-level outputs for finance use cases. This role is ideal for someone with a strong finance foundation who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between customer calls with financial institutions, hands-on project execution, and strategic conversations about how AI can transform financial workflows. What You’ll Do Lead finance-domain AI programs — Own delivery of AI training, evaluation, and data projects in areas like financial analysis, equity research, credit assessment, regulatory compliance, and quantitative modeling. Serve as the finance expert — Provide expert-level guidance and design quality frameworks to ensure AI outputs meet the rigor expected by finance professionals. Drive cross-functional execution — Manage multiple simultaneous projects, set timelines, and coordinate across engineering, operations, and customer teams. Bridge finance and AI — Translate domain knowledge into actionable guidance for AI/ML teams while interfacing with financial services clients to scope requirements and deliver value. What We’re Looking for 2–5 years in finance roles such as investment banking, equity research, FP&A, asset management, risk, audit, or financial consulting. CFA or CPA is a strong plus. Strong analytical skills with comfort in financial modeling, data analysis, and interpreting complex financial statements. Track record of managing complex projects in fast-paced environments with the ability to navigate ambiguity and balance competing priorities. Strong interpersonal skills that enable you to influence without authority and communicate financial concepts to technical and non-technical audiences. Deep interest in AI systems — direct AI/ML experience valued but
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Careers / Field Engineering & Operations Associate, Residency About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As an Associate, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations. What You’ll Do Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Drive execution of multiple simultaneous, cross-functional projects and/or programs. Effectively set timelines and manage teams to deadlines. Interface with a variety of technical and non-technical stakeholders. What We’re Looking for Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects. Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action. Have a track record for being able to successfully organize, implement and manage complex programs and projects. Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deep interest in AI systems — direct AI/ML experience valued but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations Program Manager About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Program Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. In this role, you will own execution, driving coordination and collaboration across multiple teams. Your primary focus will be on ensuring tight coordination on project deliverables through the life of a program, driving repeatable processes that makes cross-functional work faster, more efficient, and more enjoyable. What You’ll Do Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Gather and leverage data-driven insights to improve customer models and our ability to consistently enhance their performance. Contribute to cross-functional coordination and planning for complex projects. Collaborate with colleagues across the company to define, scope, and sequence major programs to scale our business. Provide clear and transparent updates to stakeholders. What We’re Looking for 2+ years of experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects. Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support. Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution. Thrive in fast-paced, scaling environments with the ability to bring order to chaos. Deep interest in AI systems (direct AI/ML experience valued but not required). How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us rai
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Careers / Field Engineering & Operations Program Manager, Residency About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Program Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations. What You’ll Do Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Drive execution of multiple simultaneous, cross-functional projects and/or programs. Effectively set timelines and manage teams to deadlines. Interface with a variety of technical and non-technical stakeholders. What We’re Looking for Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects. Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action. Have a track record for being able to successfully organize, implement and manage complex programs and projects. Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deep interest in AI systems — direct AI/ML experience valued but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations Technical Program Manager About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Technical Program Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. This role is ideal for someone who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations. What You’ll Do Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. Drive execution of multiple simultaneous, cross-functional projects and/or programs. Effectively set timelines and manage teams to deadlines. Interface with a variety of technical and non-technical stakeholders. What We’re Looking for Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects. Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action. Have a track record for being able to successfully organize, implement and manage complex programs and projects. Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deep interest in AI systems — direct AI/ML experience valued but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations Data Operations Manager About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Data Operations Manager at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success. What You’ll Do Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions. Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions. Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement. Manage internal and external communication around product updates, resolving any operational roadblocks that arise. Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams. What We’re Looking for Strong analytical skills with a focus on improving operational efficiencies and product delivery. Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams. Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps. Interest in AI/ML systems is a plus, but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cooki
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Careers / Field Engineering & Operations Generative AI - Generalist About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Generative AI Generalist at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success. What You’ll Do Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions. Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions. Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement. Manage internal and external communication around product updates, resolving any operational roadblocks that arise. Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams. What We’re Looking for Strong analytical skills with a focus on improving operational efficiencies and product delivery. Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams. Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps. Interest in AI/ML systems is a plus, but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings C
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Careers / Platform Engineering & Infrastructure Growth Engineer About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. What You'll Do Work alongside Surge's Head of Growth and Marketing Operations to brainstorm and execute on new out-of-the-box experiments to deliver, target, and run marketing campaigns that drive direct revenue impact. Utilize your deep engineering expertise to develop platforms, workflows, and automations supporting growth experimentation. Analyze and optimize on lower-funnel metrics to ensure campaign ROI improves as it scales. What We’re Looking for You care about the problems we’re trying to solve . You're interested in applied machine learning and data. You’re excited about joining a small team. As an early team member, you’ll be a key part of building our product and culture. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Careers / Field Engineering & Operations Product Operations Manager About Us Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. The Role As a Product Operations Manager at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success. What You’ll Do Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions. Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions. Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement. Manage internal and external communication around product updates, resolving any operational roadblocks that arise. Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams. What We’re Looking for Strong analytical skills with a focus on improving operational efficiencies and product delivery. Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams. Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps. Interest in AI/ML systems is a plus, but not required. How to Apply We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short email case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to careers@surgehq.ai . We’re excited to see your work! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings
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At Ensono , our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION Role Summary The Senior Information Security Engineer is responsible for designing, implementing, and maintaining enterprise‑level security solutions while providing technical leadership across the organization. This role supports global cybersecurity initiatives, leads incident response activities, and ensures alignment with internal and external compliance requirements. The position requires deep technical expertise, strong communication skills, and the ability to operate effectively in a fast‑paced environment. What You Will Do:
Design, implement, and administer enterprise information security solutions.
Serve as a Tier‑3 escalation point for monitoring and responding to security incidents.
Implement controls and processes to meet internal and customer audit requirements.
Develop internal and customer‑facing security standards, policies, and procedures.
Execute incident response activities in accordance with the Ensono Incident Response Plan.
Evaluate, test, and deploy security application upgrades and patches.
Deliver consultative expertise on emerging threats, vulnerabilities, and risk mitigation strategies.
Document project plans, including timelines, milestones, and deliverables.
Mentor new and existing members of the security organization.
Provide recommendations and contribute to the development of security product roadmaps.
Partner with product owners to ensure alignment between solutions and security product offerings.
We want all new Associates to succeed in their roles at Ensono . That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. What You Will Need:
5 -10 years of full‑time experience in information security roles.
Experience with security deployment using Azure Cloud.
Background in Security‑as‑a‑Service (SaaS) implementations.
Strong knowledge of digital forensics or penetration testing methodologies.
Experience with file integrity monitoring solutions.
Proficiency with vulnerability scanning tools and risk evaluation processes.
Experience with password vaulting technologies for secure credential storage.
Hands‑on experience implementing and maintaining security frameworks such as PCI‑DSS, SSAE SOC1/SOC2, GDPR, HIPAA, IRS Pub 1075, NIST, and ISO 27001.
Experience conducting security incident response in large enterprise environments.
Expertise in deploying and maintaining anti‑malware technologies.
Familiarity with security auditing and forensic analysis tools.
Experience implementing SIEM platforms.
Preferred Tools and Technologies MS Sentinel, Splunk, Microsoft Defender, Trend Micro, Trellix, Carbon Black, Tenable, Rapid7, Varonis, Microsoft Purview, Azure Cloud. Education and Certifications
Security certifications such as CISSP, CISA, CISM, CEH, or SANS GIAC.
Bachelor’s degree in Information Security or equivalent professional experience.
Why Ensono ? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices. Some of our benefits include:
Unlimited Paid Days Off
Three health plan options
401k with company match
Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement
Paid childbearing and paternal leave
Education Reimbursement, Student Loan Assistance or 529 College Funding
Sabbatical leave
Wellness program
Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is $112,000 to $130,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance [OR] a role-based, sales-incentive plan, and an equity grant under our Associate Equity Appreciation Program. Ensono is an Equal Opportunity/Affirmative Action em1ployer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email . Originally posted on Himalayas
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Headquarters: India About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 1 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Role Overview We are hiring a Senior Product Manager – AI Platform to build the foundational capabilities that enable HighLevel teams to ship AI-powered features faster and more reliably. This role is ideal for technical product managers or builder PMs who enjoy systems thinking and platform design. You will define and build internal AI infrastructure such as agent frameworks, model orchestration, evaluation systems, and data pipelines while ensuring these systems are reliable, scalable, and easy for product teams to use. What You’ll Do AI Platform Strategy - Define the roadmap for HighLevel’s AI platform layer. - Identify core AI primitives that should be centralized across the company. - Ensure platform capabilities enable teams to ship AI features faster. AI Infrastructure & Capabilities Design and evolve platform systems including: - LLM and model orchestration - Agent frameworks and tool usage - Context and data pipelines - AI evaluation and monitoring - Guardrails and governance frameworks Internal Developer Enablement - Build tools and abstractions that simplify AI development for product teams. - Provide documentation and reusable building blocks. - Reduce duplicated effort across teams. Reliability, Performance & Cost - Define performance and reliability standards for AI systems. - Work with engineering to optimize inference latency, cost, and scalability. Responsible AI & Governance - Embed safety, compliance, and transparency into AI platform design. - Partner with security and legal teams on governance frameworks. What Success Looks Like - Product teams can ship AI features faster - Reduced duplication of AI infrastructure - Reliable and scalable AI platform services - Consistent AI output quality across products Minimum Qualifications - 8–10 years of product management experience - Experience working on technical platforms or developer infrastructure - Strong understanding of AI systems and LLM architectures - Ability to operate independently with high ownership Preferred Qualifications - Hands-on coding or AI prototyping experience (1–2+ years) - Experience building AI platforms, ML infrastructure, or developer tools - Familiarity with agent frameworks, vector databases, and evaluation systems Who This Role Is For - Technical PMs who enjoy building foundational systems. - Builders who work closely with engineering and architecture. - Product managers comfortable prototyping ideas and validating solutions quickly. Why Should You Join Us? At HighLevel, we foster an exciting and dynamic work environment driven by a passionate team. We believe in a collective responsibility where no task is considered someone else's job. Our unwavering focus is on providing value to our users, and we achieve this by delivering solutions swiftly through lean principles, allowing us to bring products to market in a matter of weeks rather than quarters. Every good idea is put to the test, ensuring that we maintain a high standard of innovation. We prioritise the well-being of our team, recognizing that by taking care of them, they can better serve our users. We embrace the concept of continuous and iterative improvement, understanding that progress is an ongoing journey. We are also a well funded & profitable company. Join us at High Level, and you will have the opportunity to learn the intricacies of scaling a B2B SaaS startup and develop impactful products that cater to the needs of our customers. Equal Employment Opportunity Information The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-AV1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. To apply: https://weworkremotely.com/remote-jobs/highlevel-sr-product-manager-ai-platform
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Headquarters: REMOTE - US Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System , enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY The Senior Director of Product Strategy & Operations is the analytical engine and operational heart of the Product organization. Reporting to the CPO, you will be responsible for transforming qualitative customer signals and quantitative product telemetry into the commercial strategies that drive our growth. You will lead a dedicated team to ensure that our product-led initiatives are not just visionary, but executed with precision across every department in the company. Key Responsibilities Strategy & Financial Intelligence Business Case & Financial Modeling: Own the economic engine of the product org. Build rigorous financial models and business cases to justify new investments, market entries, and portfolio pivots. ROI Evaluation: Establish a framework for measuring the return on R&D investment. Continuously audit product performance against projected commercial outcomes to inform resource reallocation. Product Health & OKRs: Architect and manage the global Product Scorecard. Define "North Star" metrics and ensure all team OKRs are mathematically linked to top-line company growth. Operational Leadership & Execution Cross-Functional Orchestration: Serve as the primary connective tissue between Product, Sales, Marketing, and Finance. Align disparate departments to ensure product-led initiatives are supported company-wide. New Product Introduction (NPI): Lead the cross-functional "Go-to-Product" engine. Own the operational readiness, field enablement, and launch synchronization for all major releases. Product Processes & Tooling: Design and scale the "Product Operating System." Optimize the end-to-end lifecycle—from discovery to sunset—and manage the integrated tech stack (e.g., Pendo, Productboard, Jira) to drive velocity. The Ideal Profile The Analytical Expert: You likely have a background in Management Consulting, Finance, or a highly analytical Product role. You can navigate a SQL database or a complex financial model as easily as a product roadmap. The Insight Translator: You have a rare ability to take "noisy" data and extract a clear, compelling narrative that convinces skeptical executives to change course. The Scale Leader: You have experience leading teams in high-growth environments ($100M+ ARR) and have a proven track record of implementing systems that survived a 2x or 3x increase in headcount. The AI/Tooling Visionary: You understand how to leverage the modern data stack (Snowflake, dbt, Pendo, etc.) and AI-driven sentiment analysis to automate the "boring" parts of reporting, allowing your team to focus on high-value strategy. At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings. We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us! #LI-Remote Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @ clari.com or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration. It is Clari + Salesloft’s intent to pay all Lofters competitive wages and salaries that are motivational, fair and equitable. The goal of Clari + Salesloft’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees and encourage employees to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Base Pay Range $197,000 — $281,000 USD To apply: https://weworkremotely.com/remote-jobs/clari-salesloft-senior-director-product-strategy
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Eurofins Discovery is very motivated to apply computational sciences, data visualization, bioinformatics and other data-driven approaches to all steps of the drug development process at every level of the organization. Given the expanding scope of the Drug Discovery Chemistry group's operations, the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal. S/he will be a champion of promoting computational sciences as an integral part of Hit Finding campaigns, modern ML/AI supported drug discovery and Eurofins flagship Integrated Drug Discovery Programs under DiscoveryOne. Work closely with DiscoveryAI business to support/lead Eurofins Discovery wider AI based initiatives. This individual will be responsible for technical consultation with our chemistry and biology experts and scientists, overseeing and leading scientific data governance, analytical tool development, computational chemistry methods development, and meta-analyses of internal and external data from multiple technologies. Essential Duties and Responsibilities:
Represent Computational Chemistry as the subject matter expert for nonclinical research and development;
Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of clinical candidate;
Contribute to the development, implementation and utilization of state-of-the-art computational software, computer aided drug design and simulation techniques to help drive in silico drug discovery activities;
Responsible for the analysis, interpretation, integration and reporting of research informatics data generated with internal teams and external clients;
Partner with and support medicinal chemistry team during lead optimization related activities such as docking and scoring of the molecules from rational drug design
Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data sets;
Participate in data governance objectives working closely with IT and the laboratory teams;
Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Drug Discovery Chemistry leadership;
Owns the accountability and responsibility of delivering to client needs and timeliness;
Provides cross-functional support to other departments as required;
Proven track record of impact in drug discovery projects (e.g., contribution to lead identification/optimization, progression of compounds into development)
Strong understanding of medicinal chemistry principles and the ability to translate computational insights into actionable design hypotheses
Experience with ligand-based design approaches (e.g., QSAR, similarity searching, conformational analysis)
Knowledge of free energy methods (e.g., FEP, MM-GBSA) and their practical application/limitations
Experience handling and curating large chemical and biological datasets (data quality, standardization, reproducibility)
Familiarity with modern AI/ML approaches in drug discovery (e.g., deep learning, generative models) and their appropriate use cases
Ability to design, validate, and benchmark computational workflows rather than only applying existing protocols
Strong statistical thinking and understanding of uncertainty, validation strategies, and model performance metrics
Experience working in cross-functional teams (medicinal chemistry, biology, DMPK) and communicating results to non-experts
Good software engineering practices (version control, reproducible pipelines, documentation)
Exposure to ADMET prediction tools and integration into design cycles
Ability to critically assess experimental data (SAR, assay variability) and integrate it into modeling efforts Leadership or mentoring experience Strategic thinking in selecting and deploying computational, AI & ML approaches aligned with project goals
Proven ability to successfully influence cross-functionally and to be sought after as a technical expert within the computational sciences applied to drug development domain
Travels to other Eurofins facilities is required
The position is full-time, Monday-Friday, 8 a.m.- 5 p.m., with overtime as needed.
Excellent full time benefits including comprehensive medical coverage, dental, and vision options
Life and disability insurance
401(k) with company match
Paid vacation and holidays
Eurofins USA Discovery Services is a Disabled and Veteran Equal Employment Opportunity employer. Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 independent companies in over 50 countries and operating more than 800 laboratories. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialized clinical diagnostics testing. In 2021, Eurofins generated total revenues of EUR € 6.7 billion, and has been among the best performing stocks in Europe over the past 20 years. Originally posted on Himalayas
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Headquarters: United Kingdom (Remote) Mechanical Orchard is reinventing how the world’s most critical software gets modernized. We’re an applied AI company focused on one of the hardest problems in enterprise technology: rewriting complex legacy systems in a way that is provably correct, low risk, and fast enough to matter. By focusing on system behavior rather than code alone, we turn modernization from a high-stakes, failure-prone effort into a repeatable, confidence-building process that unlocks ongoing innovation. Joining Mechanical Orchard means working on problems that truly matter—to our customers, their businesses, and the people who rely on these systems every day. We’re building technology and methodology that challenge long-standing industry assumptions, prioritizing proof over promises and progress over theatrics. If you care deeply about quality, rigor, and doing the right thing—even when it’s hard—you’ll find your people here. About the role We’re seeking a Product Manager to lead our Code Generation team — a critical pillar of our modernization platform. In this role, you will own the strategy and roadmap for how AI-powered code generation accelerates large-scale legacy modernization. You will work closely with forward-deployed engineering teams and customers to deeply understand real-world modernization challenges and translate them into product capabilities that deliver measurable impact. You’ll also stay at the forefront of foundation model advancements, evaluating new capabilities across model providers and the broader coding tools ecosystem to ensure our platform consistently delivers best-in-class developer experiences. This role sits at the intersection of AI model innovation, enterprise reliability, and developer productivity, and will play a key role in shaping how AI transforms legacy workloads into modern systems. Product Managers at Mechanical Orchard are dedicated to one team and work closely with a team of software engineers, as well as cross-functionally with Sales, Marketing and our forward-deployed engineering teams. They are excited about using the latest AI tools to help us work faster and smarter, while constantly adapting to an evolving landscape of tools and best practices in the dev tools space. They balance long-term strategy with tactical delivery and apply modern product thinking to problems that have resisted innovation for decades. They identify and mitigate risk through effective stakeholder communication, cross-discipline collaboration, and by providing clarity and focus for teams. They apply an entrepreneurial and iterative mindset to the complex and highly technical problems of legacy software modernization. What you’ll do Own the vision and roadmap for AI-driven code generation, defining how our platform accelerates large-scale legacy modernization Collaborate closely with our forward-deployed engineering teams as well as technical partners to turn real-world modernization challenges into scalable product capabilities Translate rapidly evolving foundation model capabilities into reliable, enterprise-grade developer experiences Ensure cross-team alignment of roadmap and technical strategy within the product organization and across Mechanical Orchard Measure impact, track adoption, code quality, and modernization velocity to guide product decisions Define quality, reliability, and evaluation standards for AI-generated code Represent your product internally and externally with executive stakeholders, technical partners and customers Articulate customer value and benefits of your team’s offering and help position it within an evolving market landscape You’re a good fit if you have A Bachelors or Masters degree in a technical field or equivalent experience Combined 5+ years in product management and engineering in a highly technical environment A deep technical background, ability to grasp technical concepts and establish credibility with engineers Track record of launching ambitious, highly technical products that have seen commercial success, preferably in dev tools Hands-on experience with latest AI coding tools, model capabilities, and industry trends Excellent communication and stakeholder management skills and comfort with presenting to various audiences across seniority levels The ability to navigate ambiguity and deliver high-quality product experiences on tight timelines and in line with our business aspirations A bias for action - you’re not afraid to jump from writing a spec or story to talking to a customer or figuring out a new way to use AI tools to your advantage People in this role will have a high degree of autonomy and responsibility, with frequent team-to-team communication and interaction with all levels of leadership. Mechanical Orchard is a remote-first company, with employees working across time zones and locations. This role does not have a requirement for in-office attendance, but is expected to work hours that maximize collaboration with their team (specifics can be discussed during the interview process). There will be travel to company and team meetings, as well as customer visits (1-2 times per quarter, up to ~20% of the time). Mechanical Orchard, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Mechanical Orchard, Inc. is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Mechanical Orchard, Inc. are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Mechanical Orchard, Inc. will not tolerate discrimination or harassment based on any of these characteristics. Mechanical Orchard, Inc. encourages applicants of all ages. Mechanical Orchard, Inc. will provide reasonable accommodation to employees who have protected disabilities consistent with local law. We look forward to reviewing your application. Thanks! To apply: https://weworkremotely.com/remote-jobs/mechanical-orchard-product-manager-code-generation
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress. As a Senior Research Scientist, Model Evaluation, You Will Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish. Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations. Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency. Build scalable and reusable tools for digging into model performance. You May Be a Good Fit If You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities. You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality. You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about. You have strong software engineering skills. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Software Development Referrals increase your chances of interviewing at Cohere by 2x See who you know
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress. As a Senior Research Scientist, Model Evaluation, You Will Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish. Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations. Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency. Build scalable and reusable tools for digging into model performance. You May Be a Good Fit If You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities. You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality. You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about. You have strong software engineering skills. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Software Development Referrals increase your chances of interviewing at Cohere by 2x See who you know
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Job description About the Role: At TELUS Digital, we are advancing the future of Artificial Intelligence by helping AI systems understand, process, and generate human speech with greater accuracy and naturalness. As an AI Speech & Audio Specialist in our AI Community, you will contribute to the development and improvement of next-generation speech AI technologies, including Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Voice AI, and audio machine learning systems . We rely on our global community of specialists to evaluate, create, refine, and improve high-quality speech and audio datasets. Your expertise in audio production, speech analysis, linguistics, or voice technology will help ensure AI models deliver natural, accurate, culturally relevant, and human-like voice experiences. At TELUS Digital, you will play a key role in shaping how AI listens, understands, and communicates with people around the world. Key Responsibilities:
Evaluate AI-generated speech (TTS) for naturalness, pronunciation accuracy, rhythm, tone, emotion, and overall voice quality.
Review and improve speech recognition outputs (ASR) by identifying transcription errors, pronunciation issues, accents, and linguistic nuances.
Perform professional audio editing tasks including segmentation, trimming, noise reduction, silence adjustment, and quality enhancement.
Analyze audio recordings using waveform and spectrogram-based tools to identify quality issues.
Support the creation and validation of high-quality speech datasets used for AI model training and evaluation.
Review voice recordings for clarity, consistency, articulation, and technical quality.
Perform audio quality checks including loudness levels, background noise detection, clipping, distortion, and export specifications.
Support voice AI projects including TTS, ASR, voice generation, voice similarity, voice mimicry, and conversational AI evaluation.
Apply expertise in phonetics, linguistics, audio engineering, or speech technology to improve AI-generated voice experiences.
Qualification path Mandatory Qualifications: Education / Professional Background: Minimum of one of the following:
Bachelor’s degree or equivalent experience in:
Audio Engineering
Sound Engineering
Music Technology
Linguistics
Phonetics
Speech-Language Pathology
Computational Linguistics
Computer Science (Speech/AI focus)
Related audio or speech fields
OR Professional experience in:
Audio production
Sound design
Dialogue editing
Voice recording
Podcast/audio post-production
Speech data creation
AI speech projects
Technical Experience: Experience with at least one professional audio tool:
Adobe Audition
iZotope RX
Pro Tools
Reaper
Audacity
Logic Pro
Cubase
Other Digital Audio Workstations (DAWs)
Knowledge of:
Audio editing and restoration
Noise reduction
Speech segmentation
Spectrogram analysis
Audio quality assessment
Voice/audio processing workflows
Language Requirements:
Native-level proficiency (C1/C2+) in the required language is preferred for language-specific projects.
Ability to identify pronunciation, accent, and linguistic nuances.
English proficiency sufficient to understand technical instructions and project guidelines.
Preferred Qualifications: Experience with:
Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Voice AI
Speech datasets
Audio annotation
Voice cloning or voice mimicry projects
ADR / dubbing
Localization audio
Broadcast or media production
AI model evaluation
Assessment: To join the TELUS Digital AI Community, candidates will complete:
Subject-specific qualification assessment
Practical audio/speech evaluation (where applicable)
Identity verification process
The assessment may include:
Audio quality evaluation
Speech recognition review
Audio editing tasks
Voice quality analysis
Linguistic accuracy evaluation
Payment: Currently, pay rates for specialists range from $6 - $40 USD per hour depending on expertise, project complexity, and market requirements. *Location and language is directly dependent. Payment terms and rates are defined separately for each project engagement. Why Join the TELUS Digital AI Community:
Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.
Apply Here: TELUS Digital AI Community Our global AI Community is a vibrant network of more than one million contributors from diverse backgrounds who help customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and contribute to the development of innovative AI technologies used by some of the world's largest brands. Independent Contractor Relationship: This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital. Contact email Originally posted on Himalayas
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Direct message the job poster from Triomics Sakshi Purohit Sakshi Purohit Building Triomics GROWTH PATH This is an individual contributor role with strong ownership expectations. High performers may be considered for workstream lead or functional lead responsibilities after approximately 12 months, based on demonstrated ownership, delivery, technical judgment, mentoring, cross-functional influence, and ability to reduce dependency on the Director of ML. ABOUT THE ROLE We are looking for an ML Evaluation Engineer to own model quality, regression testing, release validation, and production impact analysis for clinical AI systems. This role sits between applied ML, clinical data, MLOps, and production operations. Your job is to ensure that every model or workflow release is measurable, stable, and not degrading important clinical behavior. You will maintain evaluation datasets, create hidden test sets, run regression checks, analyze production issues, and produce release-readiness reports. WHAT YOU WILL DO Build and maintain evaluation frameworks for clinical NLP, LLM, RAG, information extraction, and structured abstraction systems. Create and manage hidden test datasets that are not directly visible to model developers, reducing overfitting risk. Define release metrics, regression thresholds, slice-based evaluation, failure-mode tracking, and release/blocker criteria. Compare model versions and identify performance degradation across clinical segments, document types, clients, data sources, labels, and edge cases. Work with Clinical AI Data Specialists to design gold sets, hidden test sets, adjudication workflows, and label quality checks. Work with Research Engineers to understand model changes, expected behavior, and evaluation risks without compromising test-set independence. Work with MLOps/Data Engineering to monitor production behavior, triage bugs, analyze incident impact, and prioritize fixes. Create release-readiness reports before production deployment. Build dashboards, scripts, and automated checks for evaluation, monitoring, regression testing, and model comparison. Prioritize model bugs based on clinical severity, user impact, frequency, regression risk, and operational urgency. WHAT WE EXPECT 3–6+ years of experience in ML engineering, data science, model evaluation, ML QA , applied NLP evaluation, or data-heavy quality engineering. Strong Python and data analysis skills. Strong understanding of precision/recall/F1, calibration, confidence thresholds, dataset splits, leakage, overfitting, statistical testing, and error analysis. Experience building evaluation pipelines, benchmark suites, test harnesses, dashboards, or regression frameworks. Ability to work with imperfect labels, annotation disagreement, clinical ambiguity, and hidden evaluation sets. Strong independence and judgment; ability to challenge releases when evidence is weak. Clear written communication for release reports, incident analysis, and quality decisions. NICE TO HAVE Experience with LLM evaluation, RAG evaluation, extraction evaluation, clinical NLP, or healthcare ML. Experience with model monitoring, production incident analysis, data drift, or observability. Experience with MLflow, Weights & Biases, Evidently, Great Expectations, DeepEval, Ragas, pytest, Airflow, Prefect, or similar tools. Clinical or biomedical NLP exposure. SUCCESS IN 6 MONTHS Establishes a repeatable release validation process. Maintains hidden evaluation datasets and prevents overfitting to test data. Produces release reports that leadership, ML, and engineering can trust. Catches meaningful regressions before release. Provides reliable impact analysis for production issues and helps prioritize fixes. About Triomics Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time. Our platform is trusted by leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. We have grown 10x in the last year and process millions of oncology medical documents monthly. Our investors include Battery Ventures, Lightspeed, General Catalyst, Nexus Venture Partners, and Y Combinator. Why Join Triomics Impact at scale. The systems your teams build directly power AI workflows that accelerate cancer research and improve patient outcomes. Cutting-edge problems. Hard, data-intensive systems at the intersection of AI, healthcare, and scale - in a highly regulated industry where reliability is non-negotiable. World-class team. Work alongside top talent across AI, engineering, and product, with best-in-industry compensation. Culture that ships. Fast-paced, ownership-driven, with company-sponsored workations. Perks & Benefits Lunch provided at the office - one less daily decision. Flexible working hours - we care about output, not clock-ins. Comprehensive health insurance for you and your family. Zomato meal benefits for early starts and late nights. Show more Show less Seniority level Entry level Employment type Full-time Job function General Business, Management, and Business Development Industries Software Development Referrals increase your chances of interviewing at Triomics by 2x See who you know
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apply now WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. We design, manufacture, and operate our own balloons, using their observations to generate otherwise unattainable weather intelligence. Our mission is to eliminate weather uncertainty and help humanity adapt to climate change—whether by predicting hurricanes or speeding the adoption of renewables. The founding team of Stanford engineers was named Forbes 2019 30 Under 30 and is backed by top-tier investors, including Khosla Ventures and Footwork VC. WindBorne builds AI weather models that run 24/7, producing global forecasts every 20 minutes. Evaluating these models is much harder than producing a headline accuracy number: performance varies across regions, lead times, weather regimes, and customer use cases, while standard metrics often fail to capture what makes a forecast meteorologically sound or useful. We need someone with excellent scientific taste to determine where our models excel, where they fail, and which results we should trust. You will work at the intersection of machine learning and meteorology, combining fast analyses with robust systems that make future research faster and more reliable. Snapshot of the balloon constellation ON MARCH 31, 2026 Responsibilities Evaluation strategy — Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models. Choose the metrics, datasets, baselines, and case studies that provide an honest picture of forecast quality. Fast feedback and durable systems — Build quick evaluations that give researchers useful signals, then turn recurring analyses into reliable, reusable infrastructure. Think systematically about reproducibility, provenance, and how evaluation tools fit into the broader research workflow. Agentic tooling for evals — Improve our existing evaluation infrastructure, including agentic AI-based tools for investigating forecasts and synthesizing results. Technical communication — Produce clear scorecards, visualizations, and explanations for researchers, leadership, customers, and external partners. Communicate model performance precisely, including uncertainty and important caveats. Skills And Qualifications Excellent scientific judgment and healthy skepticism. You ask whether a comparison is fair, what else could explain a result, and what evidence would change your mind. Strong experimental taste: you can identify the evaluation that answers the question that matters and distinguish robust improvement from noise. Systems thinking: you can solve today’s problem while recognizing what should become reusable infrastructure for future work. Experience evaluating ML systems using large, scientific, geospatial, multidimensional, or time-series datasets. Strong Python skills and experience with scientific and ML tools such as PyTorch, NumPy, pandas, or xarray. Able to investigate ambiguous results independently, synthesize evidence, and communicate conclusions clearly. Experience with weather, climate, forecasting, physical science, or AI-assisted research tools is helpful, but not required. Benefits 401(k) Dental, health, and vision insurance Unlimited PTO Stock Option Plan Office food and beverages Salary $140k–$240k. We consider a range of backgrounds and experience levels and adjust offers to be competitive with market rates. Location 1600 Bridge Pkwy, Redwood City, CA. Hybrid or in-person. What our hardware looks like Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Aviation & Aerospace Referrals increase your chances of interviewing at WindBorne Systems by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more. Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language. Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house. Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication. If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you. About The Role Progress in speech AI is only as meaningful as our ability to measure it. At Sanas, model quality spans dimensions that automated metrics struggle to capture — accent naturalness, perceptual clarity, speaker identity preservation, noise suppression without speech distortion, translation fluency under real-world disfluency. We're looking for a Research Scientist who can define what "better" actually means across all of Sanas's model families, build the evaluation infrastructure to measure it rigorously, and close the loop between research progress and real-world impact. This role sits at the intersection of research, product, and infrastructure — and directly shapes how every model team at Sanas measures progress. Job Description Evaluation framework design Design and own evaluation frameworks across Sanas's full model portfolio — Accent Translation, Noise Cancellation, Speech Enhancement, and Language Translation, and more — ensuring each captures meaningful progress, not just benchmark performance. Develop novel quantitative metrics for subjective and perceptual qualities: accent similarity, naturalness, speaker identity preservation, intelligibility under noise, and translation fluency in spoken-language domains. Build evaluation systems that bridge automated metrics and human judgment — designing listening studies, MOS/MUSHRA protocols, and preference tests that are statistically rigorous and operationally scalable. Define evaluation splits, test sets, and benchmark suites that accurately reflect production conditions — diverse accents, languages, noise environments, recording devices, and telephony codecs. Evaluation infrastructure & tooling Build and maintain automated evaluation pipelines that run continuously against model checkpoints — surfacing regressions early and tracking quality trends across training runs. Develop reference-based and reference-free metrics calibrated to Sanas's specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short. Instrument model quality monitoring in production — detecting degradation across language pairs, accent profiles, and acoustic conditions in live customer traffic. Build tooling that allows research scientists and ML engineers to run rigorous ablations, compare model versions, and understand quality tradeoffs without needing to design the evaluation from scratch each time. Human evaluation & research Design and operate human evaluation programs — listener panels, crowdsourced annotation, and expert evaluator workflows — that produce reliable signal on dimensions automated metrics cannot capture. Conduct research into evaluation methodology itself: when do automated metrics correlate with human perception, when do they diverge, and what does that tell us about model behavior? Partner directly with research scientists across model teams to translate open-ended quality questions into concrete, measurable evaluation protocols. Cross-functional impact Work closely with ML research, product, and customer success teams to ensure evaluation reflects what customers actually experience — not just what lab conditions optimize for. Feed evaluation insights back into data acquisition and model training priorities — identifying which failure modes require more data, architectural changes, or training procedure improvements. Communicate evaluation results clearly to both technical and non-technical stakeholders, translating metric movements into product quality narratives that inform roadmap decisions. Qualifications 4+ years of research or applied research experience in speech, audio, or NLP, with a demonstrated focus on evaluation methodology and quality measurement. Deep familiarity with speech and audio quality metrics — perceptual (MOS, MUSHRA, PESQ, STOI), signal-level (SI-SDR, SNR), and task-specific (WER, speaker similarity, DNSMOS) — and an understanding of when each is and isn't the right tool. Experience designing and running human evaluation studies — listener panels, crowdsourced annotation, inter-annotator agreement analysis — with statistical rigor. Strong engineering skills: you can build production-quality evaluation pipelines, not just run scripts. Proficiency in Python and PyTorch or equivalent. Creativity in defining novel quantitative metrics for subjective or behavioral qualities — you've identified gaps in existing evaluation approaches and built something better. Ability to take open-ended research questions and translate them into concrete, measurable evaluation systems that run reliably at scale. Curiosity and rigor in equal measure — you're as motivated by discovering the right way to measure progress as by the progress itself. Bonus Experience evaluating models across multiple speech tasks — ASR, TTS, speech enhancement, speaker verification, or machine translation. Familiarity with real-time or streaming model evaluation — latency-quality tradeoffs, codec-degraded audio, telephony channel conditions. Background in psychoacoustics or perceptual audio quality — understanding of how humans perceive speech naturalness, noise, and distortion. Experience with multilingual evaluation — cross-lingual quality metrics, language-specific annotation challenges, low-resource language evaluation. Published research at INTERSPEECH, ICASSP, ACL, EMNLP, or equivalent venues on evaluation methodology, speech quality, or related topics. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Software Development Referrals increase your chances of interviewing at Sanas by 2x See who you know
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
The Role
ZoomInfo is building its Forward Deployed Engineering function. You will help define how it operates — how engagements run, what the deliverables are, how the playbook works, what scales and what doesn't. The support structure exists (data team, product team, infrastructure, executive sponsorship); what's needed is someone who brings it to life in front of customers and helps turn early wins into a repeatable model.
As an FDE, you embed directly with ZoomInfo 's strategic accounts — large enterprises with complex data needs, often in financial services, insurance, technology, and other globally distributed industries. You work alongside their teams to understand their go-to-market challenges, then help design and deliver bespoke intelligence applications that combine ZoomInfo 's third-party data with the customer's first-party data to drive real business outcomes.
You own your engagements end-to-end: from discovery through deployment, from stakeholder presentations through production code. You'll work closely with our data and product teams (and alongside more senior FDEs on larger accounts) to bring the full breadth of ZoomInfo 's data foundation to bear — company intelligence, contact data, buying signals, intent data, and specialized vertical datasets — assembled into purpose-built applications tailored to each customer's specific personas and workflows.
ZoomInfo has one of the deepest go-to-market data foundations in the world — 500M+ professional profiles, 100M+ company records, intent signals, vertical datasets spanning financial filings, insurance, commercial fleet, and more. You'll have access to incredible data, powerful infrastructure, and exposure to our most important customer relationships. What you build with them — and how you build it — will help define the model going forward.
What Engagements Typically Look Like
A few recurring patterns show up across strategic accounts. Most engagements involve some combination of:
Entity resolution at scale — reconciling legal entity hierarchies (D&B, tax IDs, company-house registrations) with how customers actually go to market. Multinationals with hundreds of legal entities collapsing to a single GTM record.
Hierarchy management — enforcing one-to-one matching across regions, fixing parent-child linkage gaps, dispositioning orphaned accounts, surfacing white space on top of clean parent IDs.
Location-level precision — moving customers off monolithic HQ-level enrichment so geo-based sales teams see local firmographics instead of global rollups.
Automated, no-human-in-the-loop logic — entity suppression, disposition-based matching, orchestration rules for inactive entities, parent linkages, and white space alerts.
Data warehouse as the operating layer — moving sophisticated analysis out of CRM (Salesforce can't do hierarchy work at scale) into Snowflake or BigQuery, via API or data cube depending on the workflow.
Buying group filtering — applying persona-density criteria across hierarchies to turn a customer's 5,600 Disney legal entities into 31 actionable targets.
Two recent engagements as concrete reference points:
A global infrastructure customer brought us 1.8M records and 300K flagged as "unmatched," with a data team of one. An automated domain validation pipeline reframed the problem entirely — 175K inactive sites, 30K redirects, 65K real opportunities — and turned a "coverage gap" conversation into a data quality program.
An enterprise planning platform had 120K Salesforce accounts, broken hierarchies, and field leaders reporting near-zero confidence in their enrichment data. The underlying data was accurate; the matching was wrong. Custom disposition logic on a 10K-account priority sample produced 7,444 high-confidence matches at 98–99% accuracy — validated before scaling the framework to the full universe.
This is the work. It moves between data engineering, applied product development, and stakeholder management — often in the same week.
What You'll Build
Every engagement comprises a consistent service architecture — three pillars built on top of each other, and five capability areas assembled into the actual deliverable.
Three pillars:
Data Foundation — golden reference matching, persistent IDs, unified entity profiles across the customer's first-party systems.
Data Management — business-specific logic that turns the foundation into something the customer can actually go to market with: customer definitions, account models, entity resolution.
Activation — TAM to SAM to SOM, fit scoring, in-market signals.
Five capability areas:
Data Foundation Development — Match every record across the customer's CRM, ERP, billing, and marketing systems to a golden reference dataset. Build custom disposition logic, domain validation, marketability classification, and legal entity crosswalks. The output is a single persistent ID linking every system.
Account Architecture & Entity Resolution — Define what an account means for the customer's business (address-based, country, HQ, ultimate-parent rollup, or hybrid), then build automated logic that enforces that structure: duplicate resolution, inactive entity disposition, hierarchy linkages.
TAM Development & White Space Discovery — Build the customer's complete addressable market against ICP criteria, suppress against existing customers via ultimate-parent rollup, surface white space inside customer hierarchies, and apply buying group filters to reduce overwhelming entity volume to targeted pipeline.
Account Fit Scoring & In-Market Signals — Build custom fit models from historical win/loss patterns; configure both evergreen signals (executive moves, leadership changes, funding rounds) and tailored ones (intent topic spikes, senior job postings, technology displacement events).
Ongoing Governance & Automation — Match orchestration rules, enrichment segmentation, CRM field locking, and warehouse integration (Snowflake, BigQuery) that keep the foundation clean as the business evolves.
Most engagements use at least three of these. You'll work with your manager and more senior FDEs to diagnose which the customer actually needs, scope the work, and deliver — taking on increasing ownership of that diagnosis as you build track record.
What You'll Do
Own Strategic Customer Engagements End-to-End Serve as a primary technical point of contact for assigned strategic accounts. Run discovery sessions with data engineers, sales operations leaders, and revenue stakeholders. Help diagnose the underlying problem (which is rarely the one the customer first describes — "we have a coverage gap" often turns out to be a marketability problem, "we don't trust the data" often turns out to be a matching problem). Scope the use case, design the solution, build the application, deploy it in the customer's environment, and stay accountable for the outcome — not just the delivery.
Bridge Technical and Business Audiences Sit with the sales team. Present to customer stakeholders. Synthesize complex go-to-market data needs into clear, actionable proposals — then deliver the solution. You're comfortable whiteboarding matching architecture with a data engineering team and walking a sales operations director through disposition codes, and you're developing the ability to present ROI and strategy to executive audiences.
Contribute to the FDE Playbook Document what works: discovery frameworks, engagement phases, integration patterns, deliverable templates, success metrics. The current strategic-account engagements are reference patterns — help extract what's repeatable from each new account and feed it into a model that scales to additional strategic accounts, verticals, and eventually a larger team. Feed field learnings back to product, engineering, and data teams to inform product direction and dataset priorities.
Drive Stickiness and Expansion Every application you build embeds ZoomInfo more deeply into the customer's daily workflows. Help identify expansion opportunities as they emerge — new use cases, new personas, new datasets, displacement opportunities against incumbent providers.
What We're Looking For
High Ownership, Comfort with Ambiguity This function is still being defined at ZoomInfo . You take ownership of your workstreams, are comfortable making judgment calls with incomplete information, and can operate effectively even where process doesn't yet exist.
Strong Software and Data Engineering Fundamentals You write production-quality code. You're proficient in Python and SQL, and comfortable working in cloud data warehouses (Snowflake, BigQuery, Databricks, or similar). You've built or substantially worked with: data pipelines, entity matching or deduplication logic, API integrations, and applications that real users depend on daily. Familiarity with API tooling — GraphQL, REST, Postman, authentication patterns (JWT, OAuth) — is a plus; deep expertise isn't required, but you should be comfortable navigating and integrating against APIs quickly. You work fluently in LLM-based development environments like Claude Code or Codex — these are core tools in how we build, not a nice-to-have.
Customer-Facing Communication You've worked directly with customers in a technical capacity — solutions engineering, consulting, technical account management, or a previous FDE-style role. You can synthesize complex data needs for a business audience and discuss matching architecture with a data engineering team in the same week, if not the same meeting. You're comfortable navigating enterprise environments with competing stakeholders — sales operations, IT, marketing ops, finance, and revenue leadership all sit at the same table.
Go-to-Market Data Familiarity (Preferred) Experience working with B2B data, CRM systems (Salesforce, HubSpot), enrichment and orchestration tooling (RingLead, Clearbit, Demandbase), or similar go-to-market infrastructure. Familiarity with concepts like firmographic enrichment, entity resolution, hierarchy management, TAM modeling, intent data, and account-based prospecting. This isn't required — if you're a fast learner with the right instincts, we'll get you there.
Why This Role The mandate is clear. Driving data consumption and growth across ZoomInfo 's strategic accounts is a top company priority. We already have working prototypes, validated customer demand, and executive sponsorship. The data team, product team, and infrastructure are in place. What's needed is someone ready to execute and grow with the function.
Enterprise customer access. ZoomInfo 's customer base includes market-leading GTM organizations at some of the largest enterprises in the world. You'll be embedded with these teams, solving real problems with meaningful budgets and complex data needs.
Best-in-class data and infrastructure. ZoomInfo 's data foundation, GTM Data Store, query infrastructure, and vertical dataset catalog give you the raw materials to build custom intelligence applications that aren't possible anywhere else.
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
$143,500—$225,500 USD
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Originally posted on Himalayas
职位描述全文
Senior Partner Solutions Advisor Posit's mission is to create free and open-source software for data science, scientific research, and technical communication to enhance the production and consumption of knowledge by everyone, regardless of economic means. We are a different kind of software company, and we’re proud to build and sell products that help people understand and improve the world through data. Posit’s Solutions Engineering team aims to reduce the distance between our customers and partners and our Pro and Open Source offerings. We help our customers – especially their IT/SysAdmin teams – understand, evaluate, configure, and use our professional products. We also help our technology alliance partners understand and recommend Posit solutions to their customers. We aim to bring curiosity and empathy to every engagement, learning about the pain the customer experiences trying to get value from Open-Source Data Science. But that’s only half the job. As we learn about what customers and partners want, we use that knowledge to improve our products, documentation, and sales processes. As an SA, you’ll play an important role in empowering partners, accelerating customer evaluations, building our sales success, and making Posit and our products work better in the future. People who thrive in this role tend to:
Find joy in working directly with customers and prospects in sales cycles. This role is pre-sales focused and at least 50% customer- and partner-facing.
Understand the indirect sales process in enterprise software and enjoy evangelizing and enabling partner sales teams .
Be excited about a global territory.
Have some exposure to data science . Many people on the team are ex-data scientists, and you’ll spend a lot of time talking to customers about data science workflows and use cases. It’s worth noting that you won’t be doing data science or writing code daily.
Be interested in the server infrastructure and architecture that underlies enterprise data science. Most of our conversations with customers are with IT teams and System Administrators. Many SEs arrive at Posit with limited exposure to these things but have some demonstrated interest (for example, maybe you’ve run your own RStudio or Shiny server, become an accidental DBA, or become the go-to person for help with Docker containers).
Be familiar with Snowflake ’s data cloud and its Snowpark Container Services offering.
Be hungry and humble . Sol-Eng covers an impossibly broad technical scope. Great SAs quickly admit what they don’t know and constantly seek to learn more.
Find excitement in having many demands on your time, rather than overwhelm. The SA team has close relationships with almost every other team at Posit. There’s no limit to the different projects SAs could take on, being able to choose important things (with help and guidance from managers) and ignore distractions is a key skill for a Posit SA.
What you’ll own own:
Maintaining relationships with and tools for partner technical sales teams - running enablement sessions, building demo assets, designing pricing calculators, and helping them understand when and why Posit’s tools can meet open source data science needs for their customers.
Subject matter expertise about Posit’s Snowflake integrations across connected app and native application
Responsibility for providing the voice of the customer to other teams at Posit, especially product management and product engineering.
A variety of projects that might include
creating and delivering public webinars, talks, and workshops.
writing and maintaining documentation, how-to articles, and demos of our products.
working on our internal data science infrastructure – picking up the newest in our Pro Products and preparing them to show to customers.
exploring enhancements and integrations for our Pro and Open Source products, and helping the product teams incorporate what you’ve learned.
What you’ll help with:
Collaborating with Alliances leadership to develop our partner technical engagement strategy.
Improving our team’s processes so our workflows facilitate us doing great work, taking adequate focus time, and having time off to rest and recharge.
Setting the direction of our products by influencing the product management and engineering teams.
You will learn... So much. No one has ever (or ever will) start on Sol-Eng knowing everything we do. Strong candidates for this role generally have prior experience with approximately half of the things below.
How to navigate deeply technical partner calls . Even people with substantial customer experience find that Sol-Eng demands new depths of empathy, curiosity, and clarity of thinking and explanation.
How Posit’s Pro Products work . On customer and partner calls, you will be the expert on our Pro Products – explaining how to install and configure them, as well as how they help make life better for data scientists.
How to speak fluently about enterprise infrastructure . Solutions Engineers help our customers IT/Admins determine the best product architecture, which requires they speak knowledgeably about integrations to other data (science) tools and platforms, and how to get things done in Snowflake’s Snowpark Container Services including system administration, authentication, networking, and containerization.
What to expect: Within 1 month, you’ll…
Meet the rest of the Sol-Eng team and start meeting Alliances, Sales, Customer Success, and other nearby team members.
Configure Posit’s Pro Products for yourself to start learning the ins and outs.
Have joined dozens of demo calls with data scientists and IT architecture calls with IT/Admins of Posit’s Pro products.
Within 3 months, you’ll...
Meet a large fraction of the company across Sol-Eng, Sales, CS, Support, Marketing, Engineering, and more.
Lead technical conversations with partner sales teams, presenting Posit’s messaging and demoing our products.
Create and improve partner sales assets.
Within 12 months, you’ll…
Contribute to projects in roles of escalating size and scope.
Present to large audiences in person and virtually
Take on larger, more strategic, and higher-touch engagements with customers and partners.
Posit offers competitive compensation with extensive human-first, people-focused benefits to prioritize your personal and financial well-being. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. This hiring range reflects base salary and assumes that the job will be performed in the United States. This role has an expected 75/25 pay mix.
Hiring Range
$194,667—$256,960 USD
Working at Posit:
We welcome all talented colleagues and are committed to a culture that represents diversity in all its forms .
We prioritize giving ourselves “focus time” to get deep work done. We minimize meetings and attempt to operate asynchronously.
We are a learning organization and take mentorship and career growth seriously. We hope to learn from you and we anticipate that you will also deepen your skills, influence, and leadership as a result of working at Posit.
We operate under a unique sustainable business model : We have over 50% of our engineering dedicated to creating free and open source software. We are profitable and we plan to be around decades from now.
Posit is a Public Benefit Corporation (PBC) and a Certified B Corporation®, which means our open-source mission is codified into our charter. As a result, our corporate decisions balance the community's interests, customers, employees, and shareholders. Hear more about why we think this matters here.
Notable:
We offer competitive compensation with extensive human-first, people-focused benefits to prioritize your personal and financial well-being. These benefits apply to full-time positions only.
100% of medical, dental, and vision insurance premiums are covered for employees and their families! Fertility and gender-affirming healthcare is included in all of our plans.
Supplemental mental health and wellness benefits are available via Ginger even if you don’t opt in to our insurance plans, including Ginger for teen family members.
Posit's gender-neutral paid parental leave policy covers all new parents, including foster and adoptive parents.
All full-time employees are eligible for 401k enrollment starting on day one.
After six months of employment, Posit provides a substantial yearly match to employee 401K contributions.
An annual profit-sharing bonus for employees recognizes our team’s contributions to company performance across the year.
We are a 100% distributed team. You are also welcome to come into our Boston office.
We offer a $400 monthly reimbursement for coworking space rental if you prefer to work away from home.
Our Lifestyle Savings Account offers an initial deposit of $1800 and then an additional quarterly stipend of $375 to cover the costs of professional development, wellness, financial health, charitable giving, and remote work support.
We provide a flexible environment with a generous vacation policy that encourages a minimum of four weeks PTO per year plus 15 paid company holidays.
Are you excited about this role but not sure if your experience aligns with every qualification in the job description? That’s okay. We know multiple perspectives are essential for a thriving organization and we'd still love to hear from you!
Posit is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
Posit Software, PBC participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Originally posted on Himalayas
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Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. We’re looking for a Senior Software Engineer to join the Behavioural team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioural intelligence layer of our platform—systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities. This is a hands-on role where you will contribute to the architecture and implementation of critical platform capabilities. You’ll design robust systems, write high-quality code, and ensure our services are scalable, reliable, and maintainable. You’ll work on challenging distributed systems problems involving high-volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account-specific readiness, idempotency, reliability, observability, and downstream activation. The systems you help build will power use cases like cart abandonment, browser abandonment, checkout abandonment, price drops, back-in-stock alerts, loyalty milestones, replenishment reminders, and audience membership changes. You will report to the Behavioural Team Engineering Manager in this role. What You’ll Do
Contribute to Behavioural Platform Design and Implementation : Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Build Systems with Stateful Context : Build systems that maintain the behavioral state and lookback windows needed to evaluate patterns such as “action without completion”, multi-event intent signals and state-change-driven triggers.
Own Feature Delivery : Act as a responsible hands-on contributor who delivers complex backend features from technical design through implementation, testing, deployment, and production support.
Establish a Reusable Pattern Framework : Develop declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently.
Partner Across the Platform : Collaborate with Product and engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
Drive Operational Excellence : Ensure Behavioural services operate reliably at scale. Use observability, metrics, traces, logs, and alerts to maintain system quality and shared on-call responsibilities.
What You Bring
5+ years of professional software engineering experience, with a strong track record of building and operating backend or platform systems in production.
Solid experience designing and operating distributed, event-driven, or high-scale backend systems.
Hands-on experience building stateful services, real-time decisioning, asynchronous processing, system reliability, and production operations.
Proficiency with Kafka and gRPC for event streaming and microservices communication.
Experience with high-performance analytics databases like ClickHouse.
Understanding of distributed systems concerns such as partitioning, retries, duplicate events, ordering, idempotency, backfills, and data consistency tradeoffs.
Hands-on experience building scalable backend services in cloud environments like GCP and AWS.
A strong focus on operational excellence—building reliable systems with monitoring, alerting, logging, and incident response.
Collaborative, product-minded approach: balancing technical quality with customer value.
Nice to have:
Experience with Rust or Elixir.
Experience with Customer Behavioural Tracking SDK.
The base pay range for this position is $140,000-$180,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
Originally posted on Himalayas
职位描述全文
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. As an Engineer on the Data Platform team at Movable Ink , you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink ’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink ’s products and services. The role will be reporting to Engineering Manager, Data Platform Responsibilities:
Support the design and delivery of data ingestion pipeline and infrastructure
Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
Qualifications:
A proven ability to learn new technologies, frameworks, and problem domains
A focus on solving big picture problems with a focus on product and the end user
Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
Strong familiarity with SQL with the ability to write and optimize queries
Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
(Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
(Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
(Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
Experience designing and operating data systems on AWS; GCP experience is a plus
Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
Originally posted on Himalayas
职位描述全文
Flex is building the AI-native private bank for business owners . We’re re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners.
Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They’re stuck with outdated banks and fragmented tools. We’re replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved.
Flex has raised $100M+ in equity and $300M+ in debt.
- Mission-critical problems : We build software that directly controls how money moves at scale.
- High bar, low ego : Small teams, exceptional people, real ownership.
- Speed over comfort : We prioritize execution, quality, clarity, and results.
- Enduring impact : What we’re building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote.
Flex Fuels Ambition. The Role We are looking for engineers who are excited to be part of our early story and help us build a diverse and vibrant company. As a senior software engineer you will have the opportunity to work across the entire stack with a focus on the back-end. You will have the opportunity to learn and drive the creation of financial products and experiences to help our customers reach their full potential. You should have a strong sense of ownership and enjoy taking projects from inception to release. As an early employee, you’ll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are open to candidates from Canada, the United States, and Colombia. What You’ll Do
Ownership over large domains and features related to card processing/issuing, and core ledgering of financial transactions
Play a critical role in the development, design, and maintenance of Flex 's platform and services.
Architect well thought-out services and data models that ensure Flex 's continued growth
Own problems end-to-end, thinking through everything from api contracts, data, scalability, security, observability, and metrics.
Lead by example and mentor engineers in all aspects of planning, development and testing.
Be a catalyst for driving best-in-class technology frameworks and tooling while staying engaged with the latest technology trends.
Be on call, with the expectation to ability to solve problems and find solutions for the servicing team
What You Need
Proficiency in NodeJS+Typescript and server design principles.
An understanding and interest in architectural patterns for highly available, scalable, low-latency, asynchronous systems
Ability to hold yourself and the team to high standards.
Strong communication (written and verbal) and interpersonal skills.
Ability to provide in-depth evaluation of multiple technical directions and determine tradeoffs of each.
Strong propensity to make data-driven decisions on technical architecture and project prioritization.
Exposure to modular monoliths and micro-services along with the benefits and challenges they bring.
Experience with any cloud based provider like Google Cloud, AWS, or Azure.
Four or more years of relevant industry experience with a track record of shipping high-quality products and features at scale.
A strong work ethic and are ready to grind
Have built and shipped a working project or product, ideally something complex
Interested? We'd love to hear from you At Flex , we value passion, determination, and honesty. Even if you don't fully match the job specifics, we encourage you to apply. Unusual career paths and unique skills can help you stand out. We believe diversity drives our success. Join us at
Why Join Us
Build something generational — Capture the full lifecycle of money for ambitious business owners.
Work on real money, real risk — Payments, credit, and banking at serious scale.
Solve hard problems — AI, underwriting, compliance, and global finance from first principles.
True ownership — Small teams, high trust, real accountability.
Founder-level exposure — Direct access to leadership, customers, and investors.
High bar, high taste — Move fast without cutting corners.
Elite peers — People here are builders, not tourists.
Real upside — Meaningful equity if you help build something big. Originally posted on Himalayas
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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma ’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an AI Model Designer to join our team and become the bridge connecting our AI research innovations with world-class design principles. In this unique role, you'll help us teach our models how to be better copilots for designers. You'll work across all our products to improve our AI models' design capabilities and oversee evaluation quality. This is an exciting opportunity to shape the future of design. As an arbiter of craft and taste, you’ll help raise the ceiling for what designers can create with AI and shape the future of design tools. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma :
Collaborate closely with AI researchers to improve model performance from a design perspective
Develop and document design principles and heuristics that can be used by our AI systems
Build thorough methods to test and enhance the quality of AI-generated outputs
Oversee the quality of our design evaluations and give guidance to external partners
Be the bridge between the AI research team and designers, translating technical details for designers and design concepts for AI experts
We’d love to hear from you if you have:
Experience developing design heuristics and design principles
Experience leading design efforts for a suite of products or working on features that span multiple product lines
Experience using AI models for design tasks, either coding or image models
Proven track record in managing complex projects that involve collaboration across different teams and organizational boundaries
Experience managing contractors and multiple projects on tight timelines
Strong design background with excellent taste and attention to detail
While it’s not required, it’s an added plus if you also have:
Background in creating or evaluating AI-generated designs
Operational mindset with ability to improve processes
Technical understanding of AI/ML concepts and how they apply to design
Comfort navigating ambiguity and shaping open-ended challenges into clear goals
Strong communication skills for explaining complex concepts to both technical and non-technical stakeholders
At Figma , one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000—$303,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma 's Candidate Privacy Notice.
Originally posted on Himalayas
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We Are: Accenture ’s Oracle practice, and we make the new happen now. Every day, we imagine the future and bring it to life using design thinking, agile development methodologies, and new smart tech like IoT, automation, and AI. We even built our own platform, myConcerto, that mixes the best parts of Accenture and Oracle to help companies come into their own as digital leaders. Ready to find genius answers to seriously hard business challenges and work with some of the best? Come join a team that feels personal even though it’s over 54,000 strong. As a Global Cloud Elite and Platinum member of the Oracle Partner Network with over 145 awards, we’re proud the industry is taking notice of our work, too. Visit us here to find out more about Accenture 's Oracle practice (.) You Are: Accenture is seeking an experienced Oracle Customer Cloud Service (CCS) Meter Data Management System (MDMS) Functional Lead to join our enterprise technology team. This role is pivotal in managing and optimizing Clients meter data operations within the Oracle CCS/MDM platform, ensuring accurate and timely processing of meter data to support billing, settlements, regulatory compliance, and customer operations across our US service territories. You will serve as the primary functional expert bridging our Metering, Customer Operations, IT, and Regulatory teams - owning the end-to-end functional integrity of meter data management from collection through consumption. What You'll Bring
A structured, detail-oriented approach to functional analysis and configuration.
The ability to operate independently and lead under ambiguity in complex, multi-stakeholder environments.
A collaborative mindset that bridges technical teams and business clients.
Ownership mentality ; you're accountable for the quality of your functional domain end to end.
The Work:
Lead the functional ownership, configuration, and continuous improvement of Oracle Utilities Meter Data Management (MDM/MDMS) integrated within the Oracle CCS ecosystem.
Oversee end-to-end meter data flows including VEE (Validation, Estimation, and Editing) rule configuration, interval data processing, scalar reads, and initial measurement creation.
Define and maintain functional configuration for device types, measuring component types, usage subscriptions, and service point hierarchies aligned with US utility operational models.
Manage the functional design and configuration of AMI (Advanced Metering Infrastructure) head-end integration, supporting large-scale smart meter deployments across the service territory.
Ensure accurate and timely delivery of usage data to downstream Oracle CCS billing, market transaction, and settlement processes.
Partner with metering operations, field services, and IT integration teams to support meter-to-cash data flows including on-demand reads, remote disconnect/reconnect, and outage data.
Collaborate with integration architects on data exchange between Oracle MDM and external systems including AMI Head-End Systems (HES), Geographic Information Systems (GIS), OMS, SCADA, and ISO/market systems.
Lead fit/gap workshops, business requirements sessions, and solution walkthroughs with stakeholders across Metering, Engineering, Customer Operations, Regulatory, and Finance.
Develop and maintain functional design documents (FDDs), configuration workbooks, VEE rule documentation, and business process flows.
Define test strategies and lead SIT, UAT, and regression testing for meter data scenarios; manage defect resolution with vendor and internal development teams.
Act as the functional escalation point for production issues involving meter data exceptions, VEE failures, missing reads, and usage delivery failures impacting billing.
Monitor and ensure compliance with applicable US regulatory and market requirements for meter data accuracy, retention, and reporting (FERC, state PUC, ANSI C12 standards).
Stay current with utility industry trends including Green Button, NAESB standards, AMI 2.0, and evolving state-level data access regulations; assess and implement impacts to Oracle MDM configuration.
Mentor junior functional analysts and business analysts; lead knowledge transfer and documentation efforts across the metering functional domain.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s what you need:
Minimum of 3 years of functional experience with Oracle Utilities CC&B or Customer Cloud Service (CCS) in a US utility environment.
Minimum of 3 years of direct, hands-on experience with Oracle Utilities Meter Data Management (MDM) - configuration, VEE rules, and integration with Oracle CCS billing.
Minimum of 1 years of hands-on experience configuring VEE rules (validation algorithms, estimation algorithms, and editing processes) within Oracle MDM.
Minimum of 1 year of experience supporting Utilities based projects. Experience to include, but not limited to - AMI/smart metering, interval data, scalar reads, TOU rates, meter data flows, ANSI C12 metering standards, Green Button Connect My Data and exposure to ERCOT, PJM, ISO-NE, NYISO, or MISO.
Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience
Bonus Points if:
You have an Oracle Utilities MDM or CCS Cloud certification.
You have experience with Oracle Integration Cloud (OIC) or equivalent middleware supporting MDM head-end and downstream integrations.
You have familiarity with major AMI head-end platforms such as Itron, Landis+Gyr, Sensus, Honeywell, and their integration patterns with Oracle MDM.
You have experience supporting Time-of-Use (TOU), Critical Peak Pricing (CPP), or Dynamic Rate programs requiring interval data processing.
You have a background in Net Energy Metering (NEM) or distributed energy resource (DER) measurement configurations within Oracle MDM.
You have prior experience supporting a large-scale AMI deployment or MDM implementation/upgrade within a US utility.
You have familiarity with Oracle Analytics Cloud (OAC) or BI reporting for meter data quality and operational dashboards.
You have an understanding of US data privacy regulations applicable to customer energy usage data (state PUC rules, CPUC Rule 22, etc.).
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/19/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
See more information on our benefits here: U.S. Employee Benefits | Accenture
Role Location Annual Salary Range California $70,350 to $196,000 Cleveland $59,100 to $156,800 Colorado $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 Maine $54,400 to $144,300 Maryland $63,800 to $169,300 Massachusetts $63,800 to $180,300 Minnesota $63,800 to $169,300 New York $66,300 to $196,000 New Jersey $68,000 to $196,000 Virginia $59,100 to $180,300 Washington $80,200 to $180,300 About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture ’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. Originally posted on Himalayas
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise attack surfaces. Owns the design, execution, and reporting of AI-focused red team operations, adversarial testing, and threat emulation exercises targeting models, data pipelines, AI-enabled applications, and supporting infrastructure. Acts as a senior technical authority and program lead for AI red teaming, partnering with teams to identify, validate, and communicate AI-related risks. Drives maturity through repeatable testing methodologies, automation, custom tooling, and clear articulation of business impact. Key Responsibilities: Lead AI Red Team operations, including adversarial testing of: Foundation and custom models (LLMs, vision, speech, decision systems) Model deployment environments (APIs, plugins, agents, RAG pipelines) Training, evaluation, and inference pipelines Data ingestion, labeling, and governance controls Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt injection, data poisoning, model inversion, jailbreaks, supply chain risks). Develop and maintain custom AI red team tooling, frameworks, and automation to scale testing and improve repeatability. Perform security research into emerging AI attack techniques, model vulnerabilities, and defensive gaps. Partner with detection, engineering, and governance teams to support purple-team and control validation activities. Contribute to AI security standards, testing guidance, and program strategy. Mentor and provide technical leadership to red team engineers. Required Skills/Experience: Bachelor's degree, or equivalent work experience Eight plus years of relevant experience Thorough understanding of the applicable information security systems, policies, and procedures Effective communication, presentation skills, leadership, problem-solving and analytical skills Proven collaboration and influencing skills Preferred Skills/Experience: Hands-on experience testing or securing AI/ML systems, including LLMs or other model classes Knowledge of AI threat models and attack techniques including, but not limited to, prompt injection, model extraction, training data poisoning, inference abuse, hallucination exploitation Familiarity with AI platforms and tooling (e.g., model APIs, orchestration frameworks, evaluation pipelines) Significant red team experience, including adversary emulation and multi-stage attack chains Proven skill developing proof-of-concept exploits and custom offensive tooling Strong understanding of red team and offensive AI techniques and tooling Expertise defeating or bypassing endpoint and AI-adjacent security controls (EDR/XDR, API protections, guardrails) Experience with cloud, containerized, and AI-hosting environments Proficiency in one or more languages (e.g., Python, PowerShell, Go, C/C++, Shell) Ability to translate research into operational tooling Exceptional written and verbal communication skills This role requires working from a U.S. Bank location three (3) or more days per week. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status here. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $126,820.00 - $149,200.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Banking Referrals increase your chances of interviewing at U.S. Bank by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… The Verizon Cyber Security (VCS) organization enables the business by protecting assets and information across Verizon networks, infrastructure, and applications. VCS integrates cybersecurity governance, policies, technologies, and operations across Verizon, working to embed security into the design and lifecycle of technology systems. Reporting into the AI Security Operations Manager, the Principal AI Red Team Operator serves as the technical subject matter expert responsible for planning and executing end-to-end adversarial assessments on AI/ML systems. Beyond assessment execution and findings delivery, a critical component of this role is program maturation. You will lead the development of testing frameworks, playbooks, toolsets, and metrics that scale and elevate Verizon’s AI Red Teaming capability. Responsibilities Associated With The Position Include Mature & Scale the Program: Build, refine, and operationalize AI red team frameworks, playbooks, and automated testing tools aligned with industry standards (e.g., MITRE ATLAS, OWASP). Execute AI Red Teaming: Plan and conduct complex manual and automated adversarial assessments on enterprise AI systems (LLMs, RAG architectures, agents) targeting prompt injection, data poisoning, and model exploitation. Report & Consult: Present findings and risk insights to both technical engineering teams and senior leadership, providing actionable remediation guidance to secure the AI lifecycle. Research Emerging Threats: Track evolving GenAI vulnerabilities, experiment with novel attack vectors, and continuously enhance testing capabilities to stay ahead of adversaries. This position can be located in other valid Verizon locations. What We're Looking For You'll need to have: Bachelor's degree or four or more years of relevant work experience. Six or more years of relevant work experience required, demonstrated through one or a combination of job-related work experience, military experience, or specialized training or education (non-collegiate). Experience conducting AI evaluations or developing AI Safety/Security systems. Experience using adversarial prompting strategies (role play, DAN, etc.) to compromise enterprise AI systems. Experience using other than prompt strategies to compromise AI systems (data poisoning, embedding inversion, etc.). Even Better If You Have Strong understanding of AI model architectures and development. Strong understanding of cybersecurity principles and practices. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience in traditional web application testing. Experience using local LLMs for prototyping and experimentation with GenAI (e.g., Ollama, LlamaFiles). Experience in training and educating others on Generative AI tools. Knowledge of programming languages such as Python. Experience with cloud computing platforms such as GCP, AWS, or Azure. Demonstrated continual learning around the field of Artificial Intelligence. If this role sounds like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits And Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Management and Manufacturing Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Verizon by 2x See who you know
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When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… The Verizon Cyber Security (VCS) organization enables the business by protecting assets and information across Verizon networks, infrastructure, and applications. VCS integrates cybersecurity governance, policies, technologies, and operations across Verizon, working to embed security into the design and lifecycle of technology systems. Reporting into the AI Security Operations Manager, the Principal AI Red Team Operator serves as the technical subject matter expert responsible for planning and executing end-to-end adversarial assessments on AI/ML systems. Beyond assessment execution and findings delivery, a critical component of this role is program maturation. You will lead the development of testing frameworks, playbooks, toolsets, and metrics that scale and elevate Verizon’s AI Red Teaming capability. Responsibilities Associated With The Position Include Mature & Scale the Program: Build, refine, and operationalize AI red team frameworks, playbooks, and automated testing tools aligned with industry standards (e.g., MITRE ATLAS, OWASP). Execute AI Red Teaming: Plan and conduct complex manual and automated adversarial assessments on enterprise AI systems (LLMs, RAG architectures, agents) targeting prompt injection, data poisoning, and model exploitation. Report & Consult: Present findings and risk insights to both technical engineering teams and senior leadership, providing actionable remediation guidance to secure the AI lifecycle. Research Emerging Threats: Track evolving GenAI vulnerabilities, experiment with novel attack vectors, and continuously enhance testing capabilities to stay ahead of adversaries. This position can be located in other valid Verizon locations. What We're Looking For You'll need to have: Bachelor's degree or four or more years of relevant work experience. Six or more years of relevant work experience required, demonstrated through one or a combination of job-related work experience, military experience, or specialized training or education (non-collegiate). Experience conducting AI evaluations or developing AI Safety/Security systems. Experience using adversarial prompting strategies (role play, DAN, etc.) to compromise enterprise AI systems. Experience using other than prompt strategies to compromise AI systems (data poisoning, embedding inversion, etc.). Even Better If You Have Strong understanding of AI model architectures and development. Strong understanding of cybersecurity principles and practices. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience in traditional web application testing. Experience using local LLMs for prototyping and experimentation with GenAI (e.g., Ollama, LlamaFiles). Experience in training and educating others on Generative AI tools. Knowledge of programming languages such as Python. Experience with cloud computing platforms such as GCP, AWS, or Azure. Demonstrated continual learning around the field of Artificial Intelligence. If this role sounds like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits And Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Management and Manufacturing Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Verizon by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Millennium is proud to be part of the Markon enterprise, a network of specialized organizations united in support of critical national security missions. This partnership strengthens our ability to deliver results by expanding our technical depth, operational reach, and access to a broader bench of proven experts, ensuring our customers continue to receive best-in-class cybersecurity support. Since 2004, Millennium has operated at the forefront of cybersecurity. Our elite team of over 300 professionals brings an unmatched record of performance across Red Team Operations, Defensive Cyber Operations, Software Engineering, and Technical Engineering. As home to the largest contingent of contracted Red Team operators supporting the Department of Defense, Millennium delivers unparalleled threat intelligence and battle-tested expertise to both DoD and federal civilian customers. Millennium is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law. Millennium is hiring a skilled AI-Focused Red Team Operator to support advanced cyber operations for a government customer in the Washington, DC area (Position contingent upon contract award/additional funding) . The candidate must have an active Top Secret clearance. The ideal candidate possesses extensive experience in offensive and defensive cybersecurity operations and is passionate about applying artificial intelligence to improve cyber mission effectiveness. Th candidate will get an opportunity to work at the forefront of AI-enabled cyber operations, combining traditional penetration testing, adversary emulation, threat hunting, and detection engineering with emerging AI technologies. Conduct authorized penetration testing, adversary emulation, and Red Team assessments against enterprise, cloud, and AI-enabled environments. Perform Blue Team activities including threat hunting, detection engineering, incident response support, and defensive security assessments. Evaluate AI and machine learning systems for security weaknesses throughout the model lifecycle. Assess Large Language Model (LLM) applications against emerging AI threats and industry frameworks such as the OWASP LLM Top 10. Identify vulnerabilities involving prompt injection, retrieval-augmented generation (RAG), model manipulation, indirect prompt injection, tool abuse, data poisoning, and model extraction techniques. Develop offensive tradecraft to evaluate AI-enabled systems while ensuring responsible and authorized testing practices. Design and implement defensive controls including guardrails, monitoring, content filtering, evaluation frameworks, and AI-specific security controls. Leverage AI technologies to improve offensive and defensive cyber operations through automation, large-scale reconnaissance, code analysis, detection engineering, report generation, and security analytics. Collaborate with cybersecurity engineers, analysts, and stakeholders to improve organizational resilience against emerging AI-enabled threats. Produce high-quality technical documentation, assessment reports, and executive briefings. AI Engineering & Automation Successful candidates should demonstrate experience building or integrating AI-assisted security workflows, including Agentic workflows for security operations and incident response Automated alert triage and enrichment Detection tuning and threat hunting using AI AI-assisted report generation and documentation Secure integration of LLMs into cybersecurity workflows Evaluation and testing of security-focused language models Active Top Secret security clearance. Bachelor's and total 5+ years experience. Additonal 4+ YoE would be considered in lieu of degree. Experience conducting Red Team operations, penetration testing, or adversary emulation. Design, develop, and evaluate AI agents capable of automating routine penetration testing tasks within authorized environments, employing strict operational guardrails, human oversight, and defined rules of engagement to ensure safe, controlled, and repeatable security assessments. Experience supporting Blue Team operations including threat hunting, detection engineering, incident response, or security operations. Strong understanding of enterprise networking, operating systems, identity management, cloud technologies, and modern attack methodologies. Experience developing scripts or automation using Python, PowerShell, Bash, or similar languages. Familiarity with AI/ML concepts, Large Language Models, and AI security risks. Strong written and verbal communication skills. Preferred Qualifications Experience with one or more of the following AI Red Teaming Prompt injection testing Retrieval-Augmented Generation (RAG) security Adversarial machine learning Model evasion and data poisoning AI governance and secure model deployment MITRE ATT&CK MITRE ATLAS OWASP LLM Top 10 NIST AI Risk Management Framework (AI RMF) One or more of the following certifications are desirable CISSP or CEH or OSCP or GPEN or GCIH or PNPT or Security+ or AI Security coursework or certifications (e.g., AI Security Fundamentals, LLM Red Teaming, or equivalent training) Assist with Business Development activities as required to support Millennium's strategic business objectives, which may include but not limited to participation in technical interviews, creation of technical documentation, general proposal writing support and proposal color reviews. Must be comfortable with prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 10-15 pounds at a time. $130,000-$133,000 The salary range provided for this position is intended as a general guideline and does not guarantee a specific salary or compensation amount. Final compensation will be determined based on a variety of factors, including, relevant education, experience, knowledge, skills, and abilities. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Management and Manufacturing Industries Information Technology & Services Referrals increase your chances of interviewing at Millennium by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA . Minimum qualifications: Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems. Experience with training large models (e.g., supervised fine-tuning, RLHF). About The Job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Responsibilities Learn more about benefits at Google . Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models. Develop adversarially robust AGI control systems and implement them in production. Research interpretability techniques to understand what AI systems are thinking. Work with product teams to ensure that our research is correctly adopted. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google DeepMind by 2x See who you know
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Headquarters: Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Principal Product Analyst to own ZoomInfo's PLG measurement system - the framework that defines how the company evaluates customer adoption, monetization, retention, and growth across its product portfolio. This is not a traditional reporting or dashboarding role. It is a strategic leadership role responsible for defining how the organization measures PLG success, identifying the behaviors that drive business outcomes, and generating the insights that shape product investments and growth strategy. The ideal candidate combines strong analytical depth with operational rigor and a builder mentality. They are comfortable operating in ambiguity, leading investigations from scratch, and influencing decisions across Product, Engineering, Go-To-Market, and Leadership teams. They also embrace AI-native ways of working, leveraging automation and emerging technologies to fundamentally improve how analytics is performed and scaled. PLG experience is a plus but not required. What You'll Do Product Growth Measurement & Operating System Define and own the measurement framework for ZoomInfo’s PLG motion, including acquisition, activation, engagement, monetization, retention, and expansion. Establish the company’s source of truth for PLG performance, including KPI definitions, scorecards, executive reporting, and performance benchmarks. Define leading indicators that predict customer activation, product adoption, conversion, retention, and expansion outcomes. Ensure measurement consistency across products, teams, and business units, enabling a unified view of customer growth and product performance. Develop scalable frameworks that connect customer behavior to business outcomes and investment decisions. Customer Journey Analytics & Growth Diagnostics: Own analytical understanding of the end-to-end customer journey, from acquisition and onboarding through monetization and long-term retention. Identify behavioral patterns, friction points, and conversion barriers that impact activation, adoption, retention, and expansion. Develop customer segmentation frameworks that reveal differences in growth outcomes across personas, customer segments, and product experiences. Lead investigations into significant changes in PLG performance, diagnosing root causes and quantifying business impact. Identify the behaviors and product experiences most strongly associated with successful customer outcomes and long-term value creation. Product Strategy & Growth Insights Influence product investment and roadmap decisions by quantifying opportunity size, identifying high-leverage growth opportunities, and evaluating tradeoffs across competing initiatives. Serve as a strategic advisor to Product, Growth, and GTM leadership on customer behavior trends, adoption patterns, and monetization opportunities. Build analytical frameworks that help teams prioritize investments across onboarding, activation, engagement, monetization, retention, and expansion. Define measurement strategies for major product initiatives and ensure business impact is accurately assessed. Guide experimentation efforts across the PLG funnel, helping teams prioritize, evaluate, and scale growth opportunities. Deliver executive-level insights that inform product strategy, growth planning, and resource allocation. AI-Native Analytics & Operational Excellence Redesign analytics workflows around AI-first operating principles rather than traditional manual processes. Build automated systems that continuously monitor product performance, surface anomalies, and identify growth opportunities at scale. Develop AI-assisted investigation workflows that accelerate root-cause analysis and reduce time-to-insight. Establish scalable reporting and monitoring infrastructure that minimizes manual effort while maintaining analytical rigor. Continuously evaluate emerging AI capabilities and incorporate them into the analytics operating model. Improve self-service analytics capabilities while maintaining governance, consistency, and trust in data. Cross-Functional Leadership Act as a trusted strategic partner to Product, Engineering, Product Marketing, Sales, Customer Success, and Executive Leadership. Align teams around a shared understanding of PLG performance, customer behavior, and growth priorities. Lead cross-functional initiatives from opportunity identification through execution, measurement, and business impact assessment. Elevate analytical standards and foster a culture of data-informed decision making across the organization. About You You think in customer journeys, growth loops, and behavioral systems rather than isolated metrics. You enjoy solving ambiguous business problems and creating structure where none exists. You are naturally curious about why customers adopt, convert, expand, or churn. You balance strategic thinking with hands-on analytical execution. You are comfortable influencing senior stakeholders through data, storytelling, and business context. You actively leverage AI tools such as Claude, Claude Code, or similar technologies to automate workflows, accelerate investigations, and improve analytical output. What You Bring 8+ years of experience in Product Analytics, Growth Analytics, Data Science, Business Intelligence, Customer Analytics, Strategy, or related fields. Demonstrated ability to independently lead large-scale analytical initiatives with measurable business impact. Advanced SQL, Python skills and strong analytical foundations. Experience conducting deep-dive analyses into customer behavior, product performance, and business outcomes. Strong statistical and experimentation knowledge. Experience translating complex data into actionable business recommendations. Proven ability to influence senior stakeholders and drive decisions through data. Strong project management and prioritization skills. Experience building scalable reporting, monitoring, and operational processes. Preferred Qualifications Experience supporting Product-Led Growth or self-service SaaS organizations. Experience with SaaS business models and customer lifecycle analytics. Experience leveraging AI tools to improve analytical workflows and operational efficiency. Success in This Role Means ZoomInfo has a clear and consistent framework for measuring PLG success across products and teams. Product and business leaders understand the behavioral drivers of activation, adoption, retention, and expansion. Growth opportunities and performance risks are identified proactively rather than reactively. Product investments are prioritized using measurable customer and business impact. Analytics workflows scale efficiently through automation and AI-enabled processes. Cross-functional teams view analytics as a strategic partner that shapes business decisions, not just a reporting function. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $136,500 — $214,500 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-business-intelligence-analyst
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Headquarters: Remote - US About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. About this role Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups. Within the Platform group: The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance. The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights. The teams also own relationships with relevant technology infrastructure vendors. Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features. We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development. What you’ll do Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting. Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals. Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance. Qualifications Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale. Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows. Strong SQL and Python skills and experience. Data warehousing experience at Petabyte scale. Snowflake, Airflow, Spark experience especially valuable. Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs. Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization. Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model. Excellent communication, leadership, and influencing skills. A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience. Select technologies we use and teach : AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary Range California & New York: the pay range for this role is $276,000 to $379,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) To apply: https://weworkremotely.com/remote-jobs/faire-senior-staff-data-engineer-platform-data-and-analytics
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Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData ?
Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US, India and LATAM
Role Overview We are looking for a Principal Solution Architect to join our Managed Services team. In this role, you will lead the architecture, security posture, and continuous improvement of enterprise Snowflake platforms for complex, security-sensitive clients. You will own the loop from threat detection through remediation and serve as a senior technical leader across platform security, governance, and operational resilience. You will collaborate closely with client stakeholders, internal engineers, security teams, and practice leadership to define enforceable standards, operate proactive monitoring and alerting pipelines, and guide key decisions across access, governance, network security, identity, and data protection. You will also help strengthen phData ’s managed Snowflake offerings by improving processes, automation, and reusable patterns that increase the quality and scalability of secure managed services delivery. Key Responsibilities
Lead the architecture, hardening, and continuous security improvement of enterprise Snowflake platforms across complex, security-sensitive client environments, ensuring strong controls, resilience, and long-term maintainability.
Translate business, security, and technical requirements into operating models, roadmaps, and engineering work that strengthen platform controls, access patterns, governance, and secure delivery practices.
Design and lead proactive monitoring, alerting, and threat detection across Snowflake environments using native audit and telemetry data, integrating with SIEM or similar platforms to detect, investigate, and remediate anomalous or unauthorized activity.
Use threat modeling and attack-path analysis to identify and remediate risk across access models, data sharing, network controls, identity posture, third-party integrations, service accounts, secrets management, and configuration drift.
Guide architectural and operational decisions across governance, authentication, privileged access, network security, and data protection, balancing platform risk, business priorities, compliance requirements, and performance goals.
Serve as a trusted advisor and senior technical leader across client stakeholders, internal engineers, and partner teams, clearly communicating trade-offs, platform risks, and remediation plans while guiding difficult decisions in complex environments.
Contribute to and improve managed services standards by creating automation, runbooks, accelerators, and best practices that enhance the quality, consistency, and scalability of secure Snowflake operations.
Lead cross-functional teams and mentor engineers while helping mature phData ’s secure managed services delivery model.
About You You are a client-focused security engineer and technical leader who thrives in fast-paced, high-accountability environments with complex Snowflake platforms and evolving threat landscapes. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You enjoy finding the risks others miss, thinking in threat models, operating proactive detection pipelines, and owning the full loop from identifying risk to closing it. You bring strong executive presence, sound judgment, and clear communication to security-sensitive client work. Required Qualifications Experience 15+ years of experience in cloud and data infrastructure, including significant experience in security engineering, platform security, or security operations roles. Technical / Functional Skills
Significant production experience with Snowflake, including platform architecture, administration, security design, and operational governance in complex enterprise environments.
Deep expertise in Snowflake platform security, including role-based access control, managed access, secure data sharing, account guardrails, privileged access controls, governance patterns, and data protection controls such as masking and row- or column-level access.
Hands-on experience with Snowflake audit and telemetry data, including sources such as ACCOUNT_USAGE views like ACCESS_HISTORY, QUERY_HISTORY, LOGIN_HISTORY, and POLICY_EVENTS, for investigation, anomaly detection, and control validation.
Experience integrating Snowflake audit logs, platform logs, and security events into SIEM or similar monitoring platforms such as Splunk, Microsoft Sentinel, CrowdStrike, or Datadog, including designing log pipelines, detection rules, escalation workflows, and remediation processes.
Strong technical depth across network, identity, authentication, secrets management, and service account lifecycle controls relevant to Snowflake and cloud data platforms, including private endpoints, VPC or VNet peering, PrivateLink, IP allowlisting, MFA, SSO or SAML, OAuth token scoping, key pair authentication, and credential rotation policies.
Hands-on experience with secrets managers and related tooling such as AWS Secrets Manager, HashiCorp Vault, or Azure Key Vault.
Strong working experience with SQL, Infrastructure as Code, Python automation, and CI/CD to support secure platform delivery and repeatable operational controls.
Experience delivering managed services or consulting engagements in complex enterprise environments, with the ability to break down multifaceted platform and security challenges into structured, actionable work.
Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications
Snowflake certifications, including SnowPro Core and one or more advanced certifications.
Security certifications such as CISSP, CEH, AWS Security Specialty, or equivalent.
Prior experience in highly regulated industries such as life sciences, healthcare, or financial services, including environments with compliance requirements such as SOC 2, HIPAA, or PCI-DSS.
Experience in managed services environments supporting multiple customer accounts and distributed global teams.
Contributions to technical communities through writing, speaking, internal accelerators, or reusable security assets.
Why phData ?
Impactful Work: Partner with leading organizations on meaningful data and AI initiatives.
Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData
Remote-First Work Environment
401k plan with company match
Dental and Vision insurance
Home Office Equipment Stipend
Annual stipend for Learning and Development
Competitive compensation, excellent benefits, 4 weeks PTO, plus 10 holidays and additional perks
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData . We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations. Originally posted on Himalayas
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Headquarters: India About the Company Zenara Health is a mental healthcare organization driven by technology, aiming to improve the accessibility and quality of mental wellness services. By integrating AI-driven platforms with professional clinical care, we deliver personalized and effective mental health solutions, creating a smooth digital experience for both patients and providers. We operate as a startup, distinct from a mere department. Why This Role Exists This position serves as the company's foremost line of defense. You will operate under the assumption that systems are constantly under threat, crafting infrastructure that is resilient, auditable, and inherently secure. You will be the most risk-aware individual in the startup — and that’s exactly what we require. While others concentrate on feature rollout, you will prioritize the security of patient data, regulatory compliance, and system integrity. About the Role If your understanding of DevOps is limited to "I occasionally execute kubectl apply," this position is likely not for you. This role is not suited for those who prioritize speed over safety or view security as an afterthought to be addressed later. At Zenara, safeguarding patient data and maintaining system integrity takes precedence over rapid deployment. Our team is in the process of developing a platform that manages clinical data, operates AI workflows, and processes insurance billing — all within a HIPAA-regulated environment catering to real psychiatric practices. Our infrastructure is operational; however, we lack an individual who will take ownership with a security-first perspective. We currently do not have a dedicated CI/CD owner, a comprehensive security posture, or monitoring that extends beyond simple uptime checks. If HIPAA auditors were to arrive tomorrow, we could withstand the scrutiny — but it wouldn’t be a pleasant experience. You will be responsible for Zenara’s infrastructure, security posture, and compliance engineering — everything from the ground up. This includes CI/CD pipelines, HIPAA-compliant deployment automation, monitoring and alerting systems, cybersecurity measures and threat defense, access controls, and audit logging — the complete spectrum of "essential elements that ensure the safe operation of a healthcare company." However, your role will go beyond mere maintenance. You will also develop infrastructure for our AI platform, encompassing model serving, scaling AI workloads, and supporting production AI pipelines. You will have a dual mandate: ensure the stability and security of the platform while also building the necessary infrastructure for AI at scale. This represents a unique opportunity for greenfield infrastructure engineering within a healthcare AI company with genuine compliance obligations and real users. You will devise systems from fundamental principles, make architectural choices, establish best practices to guide us through growth and compliance audits, and serve as the ultimate security gatekeeper. What You Will Own 1. Cybersecurity & Threat Defense You will manage threat modeling, reduce attack surfaces, oversee intrusion detection, handle vulnerability management, and plan incident responses. You will be the final reviewer for infrastructure and security risks, possessing the authority to halt releases that do not satisfy security or compliance criteria. The security of patient data is non-negotiable. 2. CI/CD and Deployment Automation You will design and implement CI/CD pipelines for all Zenara products, establishing deployment automation, managing environments, and setting quality thresholds. Your goal is to eliminate chaotic releases and establish a system that enables the team to deploy confidently and consistently — without compromising security. 3. Security Posture and HIPAA Compliance You will develop and uphold a HIPAA-compliant security posture across all Zenara systems. This involves implementing access controls, managing secrets, maintaining audit logs, and enforcing encryption standards. You will ensure our adherence to regulatory requirements while avoiding bureaucratic slowdowns. 4. Monitoring, Alerting, and Incident Response You will create monitoring and alerting capabilities to proactively identify issues before they affect users. You will establish incident response protocols, define service level objectives (SLOs), and monitor reliability metrics. You will lead the on-call rotation and develop runbooks for common incidents. 5. AI Infrastructure Support You will address the AI infrastructure needs, including model serving, GPU provisioning (if necessary), and autoscaling for AI workloads. You will collaborate with the Head of AI to ensure that the infrastructure supports production AI efficiently and securely. 6. Cloud Infrastructure Management You will oversee cloud infrastructure (AWS/Azure), focusing on cost optimization, reliability, disaster recovery, and capacity planning. You will make architectural decisions that find a balance between cost, performance, and compliance obligations. 7. SOC 2 Readiness You will spearhead SOC 2 Type II preparedness as we approach fundraising, implementing necessary controls, organizing evidence collection, and liaising with auditors. You will ensure compliance becomes an integrated process rather than an ad-hoc measure. 8. Security Incident Response You will take charge of security incident response, establishing procedures, conducting regular security evaluations, and responding to incidents as they arise. Your efforts will help the organization recognize security as an essential discipline rather than an afterthought. Your First 90 Days Week 1-2: Fully immerse yourself in the current infrastructure, deployment processes, and security posture. Identify the most significant security vulnerabilities and critical gaps. Build rapport through active listening and insightful inquiries. Month 1: Set up basic monitoring and alerting systems. Outline the CI/CD roadmap. Begin documenting existing systems and security protocols. Establish communication channels with engineering leadership. Conduct initial threat assessments. Month 2-3: Develop CI/CD pipelines for high-priority services with security gates. Implement secrets management and access controls. Create the first set of operational and security runbooks. Initiate SOC 2 gap analysis and planning for remediation. Introduce intrusion detection and vulnerability scanning. Ongoing: Take on full ownership of infrastructure and security. Deliver reliable and secure systems. Establish compliance practices and enhance security standards. Assertively say “no” when risks are unacceptable. Inspire confidence in the CEO that infrastructure and security are in capable hands. Values & Vibe (Who You Are) You perceive infrastructure primarily through the lens of security and reliability , rather than merely uptime. You are the one who enters an unmanaged infrastructure landscape and brings order — not through an excess of tools, but through clarity, automation, and effective monitoring. For you, security is not a mere checklist; it shapes your worldview. You possess an innate sense of paranoia — assuming systems are under threat and designing with that understanding. You find an infrastructure environment that functions like a black box, relying on heroic measures rather than standard practices, to be unacceptable. You recognize that healthcare compliance is mandatory and understand how to implement it practically, without hindering development speed. You are hands-on enough to diagnose production issues, write Terraform modules, and review security configurations — yet you know that your primary responsibility lies in creating systems that are both reliable and secure, rather than solely reacting to incidents. You have successfully built infrastructure in regulated sectors while adhering to compliance constraints. You have considered issues related to security threats, compliance frameworks, and disaster recovery — moving beyond the simplistic notion of "we use AWS defaults." You understand the trade-offs between security, cost, developer experience, and compliance requirements. When faced with uncertainty, your choice will always be security. You are comfortable saying “no” when risks are unacceptable, even if it delays feature deployment. This is not obstruction; it is part of your role. What Success Looks Like The infrastructure is both reliable and secure — the CEO no longer concerns themselves with outages or breaches. CI/CD pipelines are in place and delivering regularly — deployments become routine, low-risk, and security-gated. The cybersecurity posture is robust — threat modeling is thorough, attack surfaces are minimized, and vulnerabilities are monitored for remediation. The security posture is firm — access controls, audit trails, and secrets management are strictly enforced. Monitoring and alerting systems identify issues before they are reported by users. HIPAA compliance is systematic — we are audit-ready without frantic preparations. AI infrastructure supports production workloads reliably and cost-effectively. A security review process is established — any risky releases are identified and halted prior to shipping. Incident response is documented and efficient — problems are resolved swiftly. The infrastructure and security posture are more robust, reliable, and compliant than upon your arrival. Required - 5-10 years of experience in DevOps, SRE, or Platform Engineering — you have designed and maintained large-scale production infrastructure. - A strong security mindset: naturally cautious, detail-focused, and able to express concerns when risks are too high. For you, security is not merely a feature; it is a fundamental necessity. - Familiarity with HIPAA, SOC 2, or healthcare compliance frameworks — you comprehend BAAs, audit trails, and regulatory obligations. You have successfully implemented compliant systems. - Proficient in AWS or Azure with infrastructure-as-code (Terraform, Pulumi, or CloudFormation) — you handle infrastructure through programming rather than manual console operations. - CI/CD pipeline design and implementation (GitHub Actions, CircleCI, Jenkins, or similar) — you have developed deployment automation from the ground up. - Experience in container orchestration (Kubernetes, ECS, or equivalent) — you know how to deploy and scale applications in containers. - Skills in cybersecurity : including threat modeling, vulnerability assessment, intrusion detection, and incident response. - Strong English communication skills — You operate asynchronously and provide clear written documentation, incident reports, and architectural designs. - Experience in startup or high-growth environments — You have thrived in situations marked by uncertainty, constrained resources, and pressing deadlines. Strongly Preferred - Experience in supporting ML/AI infrastructure (model serving, GPU clusters) - Security expertise in healthcare SaaS (handling PHI, encryption at rest/transit, access auditing) - Background in penetration testing or security audits - Prior experience with SOC 2 or HITRUST certification processes - Knowledge of observability and monitoring tools (Datadog, Prometheus, Grafana, or similar) Nice to Have - Understanding of FHIR/HL7 healthcare data standards - Production experience with Kubernetes - Acquainted with multi-tenant SaaS security strategies - Exposure to mental health or behavioral health sectors - Experience with cloud infrastructure cost optimization - Relevant security certifications (CISSP, CEH, or equivalent) Schedule Evening IST hours with 4–8 hours of daily overlap with US Pacific (9am–5pm PT). You are welcome to propose a schedule that works best for you — our emphasis is on overlap and team availability rather than rigid clock-in requirements. On-call availability is expected during key security incidents. - Salary between ₹22–35 LPA, based on your skills and responsibilities - Fully remote work options available throughout India - Provision for equipment allowance - Acknowledgment of culturally significant local holidays (India) - Flexible paid leave options - Direct and regular communication with the CEO — you will have direct access without any intermediaries - Opportunity to build infrastructure and security practices from the ground up To apply: https://weworkremotely.com/remote-jobs/zenara-health-devops-security-engineer-ai-native-healthcare-saas
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Pomelo Care| Remote (US) First with offices in NYC and SF We’re building a healthier future for women and children. We combine clinical excellence, human connection, and proactive technology to ensure our patients get the care they deserve, from preconception through midlife. - Staff Software Engineer, Patient Experience
Tech lead for our patient mobile/web apps. Stack: Expo, React Native, TypeScript, Kotlin. Apply here: https://grnh.se/ws5ijibc4us - Senior/Staff Security Engineer
A builder-first role focused on shipping secure-by-default tooling and guardrails, not managing compliance tickets. Stack: Kotlin, Python, GCP. Apply here: https://grnh.se/jm9kjyz34us - Senior Product Manager, Patient Growth
Data-fluent PM to own full-funnel acquisition and retention. Apply here: https://grnh.se/iayapr1c4us
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Description Keeper Security is hiring an experienced Sales Engineer, DevOps to join our B2B sales team. This is a 100% remote position from select locations, with an opportunity to work a hybrid schedule for candidates based in the Chicago, IL metro area. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and is sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and be responsible for navigating our customers through the technical landscape of our products while serving as a DevOps subject matter expert. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at . The Problem We Solve for DevOps Teams Modern engineering organizations face a growing crisis of secrets sprawl: hardcoded credentials in source code, unmanaged service accounts, secrets embedded in CI/CD pipelines, and machine identities that proliferate across containers and cloud environments with no governance. KeeperPAM with Keeper Secrets Manager (KSM) eliminate these risks by giving DevOps and platform engineering teams a zero-knowledge platform that integrates natively into the tools and workflows they already use like Jenkins, Kubernetes, Ansible, GitHub Actions, Terraform, and more. As a Sales Engineer, DevOps, you will be the technical voice that helps engineering leaders and security teams understand and solve these problems with Keeper. About the Role As a Sales Engineer, DevOps, you will work alongside the Keeper Security sales force by supporting the pre-sales and post-sales cycle from a technical perspective. You will be responsible for identifying the technical requirements within an opportunity, matching them to Keeper Security solutions, and supporting the sale by positioning and demonstrating differences. You will provide product trials and evaluations to Keeper Security partners, assist with implementation and integration, and provide level-2 technical assistance to existing customers. In addition, you will serve as a DevOps subject matter expert and work with customers to understand and secure their development environments, CI/CD pipelines, cloud-native infrastructure and automated workflows. Responsibilities
Provide and manage pre-sales technical support for the technical sales process of Keeper products
Work closely with the sales team to identify customer opportunities and understand their business needs
Conduct product demonstrations and technical presentations remotely, at customer locations, or on-site at a Keeper facility
Serve as a DevOps subject matter expert for customers, prospects and internal sales teams
Conduct technical discovery related to software development, CI/CD pipelines, DevSecOps workflows and cloud-native environments
Demonstrate Keeper integrations and use cases involving Jenkins, Kubernetes, Ansible, Red Hat OpenShift, GitLab and related DevOps technologies
Collaborate with product development and engineering teams to stay updated on product features, enhancements and updates
Address technical questions, concerns and objections during the sales process to ensure customer confidence and satisfaction
Act as a technical advisor to customers, helping them understand how our solutions can solve their business challenges and achieve their goals
Stay informed about industry trends, the competitive landscape and emerging technologies relevant to the business
Analyze complex multivariate problems and use a systematic approach to gain quick resolution, often under pressure
Work on issues that affect design and selling success or address future concepts, products or technologies
Establish relationships and engage with technical personnel to identify opportunities and sell Keeper Security products and services
Ensure accurate and timely activity and issue updates in Salesforce and report to management
Create and deliver technical product presentations and/or training sessions to channel partners and customers
Participate as part of a sales team to achieve or exceed revenue targets
Contribute to the execution of company objectives to achieve goals in creative and effective ways
Ability to travel to and from customer meetings locally and nationally and rent and/or operate a vehicle on behalf of the company
Requirements
5+ years of experience in a pre-sales technical role such as Sales Engineer, Systems Engineer, Solutions Engineer or a similar position with a focus on Machine Identity Security and/or DevOps.
Hands-on experience with Jenkins, Kubernetes, Ansible, Red Hat OpenShift, GitLab and other DevOps or CI/CD technologies
Professional background in software development, DevOps, DevSecOps, platform engineering or a related technical field
Strong understanding of software development lifecycles, CI/CD pipelines, containerized environments and DevOps best practices
Experience with scripting, APIs and automation using languages or tools such as Python, Bash or PowerShell
Excellent communication and interpersonal skills and a strong entrepreneurial drive
Strong experience with Windows and Active Directory administration and knowledge of UNIX/Linux
Outstanding presentation skills and the ability to build and demonstrate a high-quality product overview to both technical and executive-level audiences
Technical background in networking and security applications as well as cloud technologies such as AWS and Azure
Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent work experience
Willingness to travel up to 10%
Preferred Requirements
Industry-recognized certifications
Experience with additional technologies such as Docker, Terraform, Helm, GitHub Actions or Azure DevOps
Exposure to identity providers such as Microsoft Entra ID and Okta
Experience providing solutions to and understanding the requirements of enterprise customers
Prior experience with cybersecurity solutions or relevant experience with PAM, IAM, secrets management or other security SaaS solutions
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental Life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc.)
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt
Keeper Candidate Privacy Notice
This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).
1. Data We Collect
Information You provide:
Contact details, CV/resume, cover letter
Employment history, qualifications, work eligibility
Application responses and uploaded documents
Information We generate:
Interview notes, assessments, communications
Scheduling information
Information From Others:
Recruiter/referral information who submit your profile
References (with your consent, before final offer)
Public professional profiles
Background verification (post offer)
Voluntary Diversity and Equal Opportunity Information
We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements
2. How We Use Your Data
Assess your application and suitability
Manage interviews and recruitment workflow
Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
Comply with employment law obligations
3. Legal Basis
Legitimate Interests (recruitment management, security and integrity of the hiring process)
Contracting steps (for progressed candidates)
Legal and regulatory compliance obligations; explicit consent where required
4. Who We Share Information With
Internal:
HR, hiring managers, interviewers*, IT support for system administration
*Note - diversity and equal opportunity data is not shared with hiring managers.
Third Parties:
Service providers who assist with:
Applicant tracking, recruitment systems and assessment providers
Background verification vendors (post offer)
Recruitment agencies (where applicable)
Tools to support communication, collaboration and to securely store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
5. International Transfers
Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.
6. Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
7. Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions:
You opt into our talent database for further retention by providing consent (extended retention)
You're hired (transfers to employee records)
8. Your Rights
You have the following rights and can contact us at the email below to exercise them:
Access, correct, or delete your data, subject to applicable law and retention requirements
Object to or restrict processing
Withdraw consent (where applicable)
Request data portability
Lodge a complaint with your data protection authority
If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.
When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.
9. Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
10. Contact - Candidates can send privacy questions to:
Originally posted on Himalayas
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Headquarters: United States Our Mission and Opportunity Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company , backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban. Our Team Our team is passionate, talented, and customer-focused. We embody our Leadership Principles in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally. Who You Are You’re an AI-native, experienced product manager who thrives in high-ownership environments and knows what it means to truly own a core product area. You’re energized by the full spectrum of the job — from iterating on live features to investing in greenfield 0→1 bets — and you have the judgment to know when to pursue each. You’re comfortable in ambiguity, decisive under pressure, and relentless about customer impact. You are: A product owner who has driven a core product area end-to-end — setting strategy and goals, building the roadmap, and delivering measurable outcomes Sharp on prioritization — you can look at a universe of possible bets and quickly identify what’s worth pursuing, what to cut, and why Skilled at right-sizing — you set appetite and scope work accordingly, balancing incremental improvements with bigger swings Impact and customer-obsessed — you keep the customer and business at the forefront, and know how to cut through the noise to focus on what truly matters to drive value AI-native in how you work — you use AI tools daily to move faster, think more clearly, and raise your own ceiling as a PM A strong cross-functional partner — you build trust with engineering, design, and partners, and know how to move a team forward with clarity and momentum A boundaryless builder — you prototype, automate, and ship using AI as your co-builder What You’ll Do This is an individual contributor role with significant scope and exposure. You will own a core product area and partner directly with our CEO and CTO to deliver product experiences that matter to the business and to our customers. You’ll: Own the strategy, roadmap, and execution for a portion of our core SaaS product — from iterating on existing features to defining and launching new ones Balance 0→1 product bets with high-leverage incremental improvements, knowing when to invest big and when to right-size Set appetite, scope accordingly, and hold your pod to a high bar on speed, quality, and customer impact Drive AI into the product in ways that genuinely improve outcomes for providers and families — not as a checkbox Define success metrics, track performance, and communicate progress and tradeoffs clearly to leadership Partner tightly with engineering and design to ship with urgency, unblock the team, and keep the pod focused on what matters Contribute to brightwheel’s product culture — raise the bar for product quality, velocity, and customer impact What You Bring We are open to a variety of backgrounds, but strong candidates usually bring: 5+ years of product management experience with meaningful ownership of a core product area Proven ownership of complex, cross-functional product initiatives with measurable outcomes Strong product judgment and prioritization — you know what to work on, what to cut, and can drive alignment while balancing speed, quality, and learning Deep comfort with product metrics, experimentation, and funnel analysis (SQL a plus) Excellent written and verbal communication skills, including with executive audiences A strong sense of ownership and bias toward action — you define the problem, you don't wait for it to be handed to you AI fluency in your daily workflow — you use AI tools to move faster, go deeper, and operate more like a full-stack product owner across discovery, design, and execution Experience building and shipping AI-powered product features (bonus) B2B SaaS background, especially in products with complex operational workflows (bonus) Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Protecting Our Applicants: Please be aware of recruiting scams impersonating Brightwheel. All legitimate communications come from @ mybrightwheel.com addresses, and we never ask for payment or sensitive personal data as part of our hiring process. If you suspect fraudulent contact, reach out to security@mybrightwheel.com . Thank you for helping us keep our applicant community safe. To apply: https://weworkremotely.com/remote-jobs/brightwheel-staff-product-manager
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Headquarters: Remote - Canada Who we are: At Mediafly, we help the world’s top revenue teams work smarter and achieve measurable impact. Our platform brings together sales enablement, content, and performance insights so sellers have the coaching, tools, and intelligence they need to succeed. By weaving value selling into every workflow, we empower teams to accelerate deal cycles, boost win rates, and prove ROI. For you, that means joining a company where innovation meets purpose—where your work helps businesses deliver more meaningful buyer experiences and drives results that truly matter. You’ll be part of a collaborative, growth-focused team that values expertise, creativity, and human connection. Mediafly is seeking a Product Marketing Manager to play a key role in driving the success of our Go-To-Market (GTM) teams. You’ll shape GTM strategies to drive inbound and outbound demand by crafting compelling customer-centric messaging, creating product pricing/packaging, launching product releases and features, managing analyst relations and announcements, conducting market research and competitive analysis, and creating enablement materials to drive pipeline deal progression and support our sales and customer growth teams. This role reports into the VP of Growth Marketing. Responsibilities of a Product Marketing Manager : Dedicate yourself to staying close to the customer and partnering with the Sales and Customer Success teams. Develop customer-centric messaging and positioning that clearly communicates the value of our platform. Create and manage product launch plans, ensuring seamless execution across Marketing, Sales, and Customer Success. Drive customer engagement and advocacy programs, including case studies, testimonials, and community initiatives. Own and optimize social, digital, and content marketing strategies to attract and nurture leads. Partner with cross-functional stakeholders to develop targeted campaigns, including email, paid media, and organic channels. Manage and optimize the website, landing pages, and conversion funnels for maximum lead capture. Develop sales collateral, pitch decks, and battle cards to empower sales teams. Conduct market and competitive research, delivering insights that sharpen our Go-To-Market strategy. Collaborate closely with Product & Sales to ensure alignment on messaging and positioning. We'd love to work with you if you have the following: 3+ years of Product Marketing experience in B2B SaaS, preferably in Martech or Sales Enablement You are proactive and action-oriented, with a strong drive for experimentation. You find creative, resourceful ways to learn, adapt, and improve; "being scrappy." Proven experience in a fast-paced startup environment Strong background in customer & product marketing Deep understanding of digital marketing, lead gen, and marketing communications Experience with social, email, content, and digital marketing strategies A data-driven mindset—comfortable with marketing analytics & optimization Ability to work cross-functionally with Sales, Product, Customer Success, and Marketing teams Exceptional writing, storytelling, and communication skills $95,000 - $100,000 a year At Mediafly, we are committed to fostering pay equity and transparency, which are essential to creating a fair and inclusive workplace. We believe that clear and open compensation practices help build trust and ensure that all employees are compensated fairly for their contributions. The specific salary offered for a role will be determined by a variety of factors, including your individual skills, experience, geographic location, and other relevant considerations. Mediafly is an equal opportunity employer, which means we do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome people of different backgrounds, experiences, abilities and perspectives and encourage all interested individuals to apply. Thanks to our commitment to employee experience, Mediafly has been recognized as a Best Place to Work from Crain's, Inc. and BuiltIn. Mediafly is a fully distributed company with an HQ in Chicago, IL. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. To apply: https://weworkremotely.com/remote-jobs/mediafly-product-marketing-manager
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Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks , DBT , AWS , scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS Improve ingestion pipeline quality, reliability, scalability, and governance Develop and optimize core data models and foundational data tables Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting Implement data governance, data quality, lineage, and observability practices Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making Optimize large-scale data processing workflows for performance and cost efficiency Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations Build and maintain reliable orchestration workflows and scheduling systems Participate in architectural discussions around scalability, governance, and data platform modernization Required Skills: Strong experience with Databricks Strong SQL and Python programming experience Experience building scalable ETL/ELT pipelines Experience with AWS data ecosystem and cloud-native architectures Experience with DBT, Apache Airflow or similar orchestration tools Strong understanding of data modeling and analytics engineering Experience working with large-scale structured and semi-structured datasets Experience implementing data governance and data quality practices Experience optimizing pipeline performance and scalability Strong communication and collaboration skills Ability to work independently within distributed engineering teams Nice to Have: Gaming industry experience LiveOps or telemetry pipeline experience Experience supporting analytics for player behavior, engagement, monetization, or publishing systems Experience with real-time or streaming data systems Experience with viewer analytics or esports data ecosystems Experience with KPI reporting and operational dashboards Familiarity with cost optimization and cloud infrastructure analytics Experience working in fast-paced product engineering organizations Basic Qualifications: BS or Master’s degree in Computer Science, related degree, or equivalent experience 5+ years experience with data-related and data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing and visualizing data Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Benefits Company benefits include: Paid Time Off Mentored Career Development U.S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co To apply: https://weworkremotely.com/remote-jobs/azumo-data-engineer-databricks-aws-gaming-liveops-latin-america
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Headquarters: San Francisco, CA or Remote (U.S.) Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it! As a Data Analyst on the Reporting Partnerships team , you will be an integral part of our Commercial Data and Analytics organization , working to generate physician-level reporting that powers client measurement and analysis. This role can be filled in our San Francisco headquarters OR remotely in the U.S. How you’ll make an impact Generate and maintain Python-based client reporting used to power client measurement. Deliver new Python scripts for reporting use cases, from adapting existing client templates to building custom client scripts end-to-end. Conduct daily QA and act as a point-of-contact for teammates’ SQL and Python questions, helping raise the overall bar for code quality and consistency. Create and maintain both Python and SQL-based aggregate reports as needed. What we’re looking for At least 2 years of professional experience working in business analytics or performance reporting. Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. Fluency in Python , with hands-on experience building, maintaining, and debugging scripts for data processing or reporting. Experience stepping into client-facing roles, especially to translate technical solutions for non-technical audiences. Strong organizational skills and attention to detail ; ability to stay ahead of multiple deadlines at once. A proactive , ownership-oriented mindset: comfortable working through scripting updates largely on your own, escalating questions or issues when necessary. A continuous-improvement focus, always looking to automate operational processes, elevate code quality, and deliver faster, more accurate reporting while strengthening value to clients. More about the Reporting Partnerships team Below are additional core values specific to the Reporting Partnerships Team. Precision : Our team's deliverables power client analysis and inform real-world decisions. A successful candidate will triple check their work and their teammates' work, holding all of us to the highest data quality standards. Curiosity : Continuous learning is a cornerstone at Doximity and curious individuals thrive here. We're looking for someone who is never satisfied with the status quo. Accountability : Challenges are opportunities. We face them head-on, learn from them, and come out stronger. Successful candidates will be solutions-oriented with a drive to keep improving. Better Together : We strongly value partnership and mutual respect among colleagues. We find our best outcomes come from collaboration and thoughtful input toward our shared goals. Cutting-Edge Tech : We are passionate about developing industry-leading solutions, defining best practices, and setting the gold standard for the data we provide. We embrace the best tools for the job, including AI-assisted coding and emerging technologies that help us work smarter. Compensation The US total compensation range for this full-time position is $77,000 - $134,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more! More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems every day by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com . ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. To apply: https://weworkremotely.com/remote-jobs/doximity-data-analyst-reporting-partnerships
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Careers / Platform Engineering & Infrastructure Security Engineer About Us We’re building a platform that powers the biggest AI groups in the world — including OpenAI, Anthropic, Meta, and Google — with human feedback data for evaluating and training their models. Surge was founded by former ML engineers focused on providing the highest quality data in the industry. Instead of outsourcing to call centers overseas, we’ve built an elite workforce based in the US, custom annotation tools, and sophisticated quality control systems. Our product has been a “game-changer” for ML teams, and we’ve run a profitable business from day one without raising venture funding. You’ll join a small, fast-moving team of former engineering leaders and ML practitioners from Google, Meta, Twitter, and Airbnb. We’re hiring a Security Engineer who will lead our security and compliance efforts — and who’s excited to contribute to backend engineering as we scale. What You’ll Do Build and maintain security and compliance programs (SOC 2, ISO 27001, GDPR). Lead internal risk assessments and manage external audits. Develop and enforce security policies, access controls, and monitoring systems. Ensure security best practices across our AWS environment and internal tooling. Contribute to backend engineering work, improving core systems and APIs. What We’re Looking For 5+ years in security engineering, compliance, or backend development. Experience managing SOC 2, ISO 27001, or GDPR audits and certification processes. Strong backend engineering skills (Python preferred) and familiarity with AWS security best practices. Comfortable writing policies and implementing technical controls. Pragmatic, hands-on mindset — you know how to balance risk and speed in a startup environment. Why Join Us Own security and compliance at a high-trust, high-impact company. Work closely with a small team of top engineers. Help build a platform powering the next generation of AI — safely and securely. How to Apply To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too! Help us raise AI for the real world Apply now Smart ≠ Useful Raise AGI with the richness of human intelligence. © 2026 Surge AI X Linkedin Cookie Settings Cookie Policy Privacy Policy Terms of Service
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Headquarters: Ukraine - Remote Who We Are Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time. Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of 2025’s Best Inventions and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do Pindrop is looking for a high-performing Senior Platform Product Manager to drive strategy and development for the Pindrop Platform — the shared foundation that powers our products (Protect, Passport, and Pulse) and a set of platform capabilities exposed directly to customers, such as Pindrop Intelligence. You’ll ensure that our platform is scalable, reliable, easy to build on, and delivers differentiated value both to internal product teams and to customers consuming platform features directly. Market analysis & customer insight Stay ahead of competitive and industry trends in platforms, data products, and developer ecosystems.Partner with Product and GTM teams to understand how Protect, Passport, Pulse and other product lines depend on the Pindrop Platform today and what they will need next. Regularly engage with customers and partners who consume platform capabilities (e.g., Pindrop Intelligence APIs, data services) to understand use cases, workflows, and unmet needs. Manage organization goals, business metrics, and KPIs for the platform, including adoption, reliability, performance, and developer experience. Operate internal and external steering forums to align stakeholders on priorities and investments for the platform. Vision & roadmap for the Pindrop Platform Set the overall vision, strategy, and success measures for the Pindrop Platform as a product in its own right. Define how shared platform capabilities (data, AI/ML services, APIs, integrations, observability, security, entitlements, and configuration) evolve to support Protect, Passport, Pulse and future products. Own and maintain prioritized platform roadmaps, balancing foundational investments (scalability, reliability, security, cost efficiency) with new capabilities and externalized features like Pindrop Intelligence. Write clear user and system narratives that describe how internal product teams, external developers, and end customers will interact with Pindrop Platform capabilities. Define, document, and communicate objectives, requirements, and constraints for platform initiatives and releases. Engage with executive and cross-functional stakeholders to obtain buy-in, make tradeoffs, and raise escalations when needed. Execution & delivery Drive end-to-end execution for platform initiatives, from discovery and design through delivery and launch. Work with engineering and engineering leadership to design and deliver high-quality, continuous releases of platform services, APIs, and data products. Manage platform capabilities across their lifecycle, from initial MVPs to scaled, hardened services adopted across multiple products. Integrate new technology from research and product teams into the platform in a way that is reusable, well-abstracted, and easy to adopt. Collaborate with go-to-market partners to position platform capabilities (such as Pindrop Intelligence) and accelerate customer adoption and time to value. Partner with marketing to set positioning and develop market-facing materials, demos, and content for platform features where they are directly consumed by customers. Grow platform adoption and influence by assisting Sales, Customer Success, and Solutions Engineering with identifying key customer segments, building pipeline, and closing opportunities where platform capabilities are a differentiator. Who you are You are passionate about platforms , APIs , and developer experiences , and you understand how strong platform strategy accelerates product teams and unlocks new customer value. You care deeply about security, reliability, and performance, and you are comfortable working in a space that spans voice, identity, fraud, and AI/ML-powered intelligence. You have a high degree of integrity and trustworthiness. You have a strong sense of personal ownership and responsibility in accomplishing the organization’s goals. You are entrepreneurial with a high level of energy, dedication, and an unrelenting drive to succeed and win. You are resilient in the face of challenges, change, and ambiguity. You are optimistic and believe that you can make a problem into a solution. You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed. You take accountability, do the things you say you’ll do, under-promise and over-deliver. You are nimble and adaptable when priorities change and continue to see the “forest through the trees”. Your skill-set 5–7 years of product management experience in B2B SaaS, with significant time spent on platform, infrastructure, or shared services (e.g., data platforms, API platforms, developer platforms, or similar). Experience working with cloud-native architectures and highly distributed systems; familiarity with how platform decisions impact reliability, performance, cost, and security. Proven experience defining and executing go-to-market strategy for platform or API / data products, including positioning, packaging, pricing, and launch planning. Demonstrated ability to partner closely with Sales, Marketing, Customer Success, and Solutions Engineering to translate platform capabilities into clear value propositions, customer narratives, and enablement. Experience creating and scaling internal platforms that serve multiple product teams or business units, OR externalized platforms / APIs used directly by customers and partners. Technical background or strong technical fluency; you can work closely with engineering on APIs, data models, integration patterns, and system tradeoffs. Experience within a SaaS company required; experience in security, identity, fraud, or risk is a plus but not required. Proven track record of successful product or platform launches and meaningful impact on adoption, usage, or business outcomes. Comfortable rolling up your sleeves to dig into details, understand edge cases, or help unblock teams. Strong leadership and communication skills — you can bring clarity to complex technical topics and drive alignment across engineering, product, GTM, and executive stakeholders. Transparent and open about what works and what doesn’t; you use data and feedback to iterate quickly. Within 30 days, you’ll Complete onboarding and understand Pindrop as a product portfolio and the voice security space. Learn the core capabilities of the Pindrop Platform and how Protect, Passport, and Pulse are built on top of it. Meet your key partners across Product, Platform Engineering, Protect/Passport/Pulse teams, Sales, Marketing, Customer Success, and Solutions Engineering. Review existing platform roadmaps, customer feedback, and GTM materials for platform features (including Pindrop Intelligence). Within 60 days, you’ll Refine and socialize a clear problem/opportunity framing for your initial focus areas on the Pindrop Platform. Own and update a portion of the platform roadmap, aligning it with product needs and GTM priorities. Lead discovery with internal product teams and select customers/partners to validate requirements for upcoming platform initiatives. Collaborate with GTM partners to shape positioning, messaging, and launch plans for at least one upcoming platform or Pindrop Intelligence enhancement. Within 90 days, you’ll Fully own a meaningful slice of the Pindrop Platform roadmap and associated KPIs. Drive at least one platform initiative from definition through execution, partnering closely with engineering and GTM teams. Establish lightweight rituals (reviews, steering, reporting) that bring clarity to platform priorities, tradeoffs, and status. Identify and propose medium-term platform and GTM bets that can unlock new value for products and customers. What’s in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days. What we offer As part of Pindrop, you’ll directly influence our products and contribute to shaping the future of voice security. We invest in great people and support them with great benefits: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Remote-first culture This position is contracted through Alcor BPO. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. AI - A Transformative Force At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine. Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status. To apply: https://weworkremotely.com/remote-jobs/pindrop-senior-platform-product-manager-contract-position
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Headquarters: Remote About the job Kota is reimagining insurance and retirement benefits for the modern workforce. Through our two flagship products—Kota Platform, the first fully integrated benefits platform, and Kota Embed, our embedded insurance solution—we're making benefits more accessible, valued, and global. Today, we power benefits for tens of thousands of employees at Europe's most forward-thinking companies, including Carwow, Tines, Zoe, and Remote. Founded in 2022, we've raised more than €20M from leading investors like EQT Ventures, Eurazeo, Northzone, and Frontline, along with founders and executives from Workday, Remote, Personio, OpenAI, and more. Role overview We’re hiring a Senior Product Designer to join Kota’s Customer Platform team. This is the heart of Kota: the app where employers and employees interact with our health, pension, and insurance services. The role will be an important addition to our team as we scale and there are several reasons to join now: Own the Core Product - Your work directly impacts how our customers use Kota. You will be responsible for turning complexity into clear, intuitive flows and interfaces. Design Fast, Ship Right - Designing and writing is how we think together and drive product alignment. You have to move at pace but don’t lose quality as we start building and scaling. Craft-Driven Culture - We believe innovation truly happens when we push beyond “good enough”. From microcopy to complex web interactions, you will work with people that sweat the details and ship with care. Modern Design Environment - Work with cutting-edge technologies and tools to define the future of insurance UX. Autonomy and Ownership - We hire outstanding people and get out of their way. You will have responsibility from day one, with space to do your best work. What You’ll Do Own key web product areas from early concepts to shipped implementation Turn ambiguous product problems into clear flows, interfaces, and interaction models Raise the quality bar through design quality, critique, and thoughtful collaboration Use Cursor or Claude Code to prototype, build, and iterate through simple interfaces. Identify and design reusable components and patterns that improve consistency and speed across our Platform product. Partner closely with engineering to scope, design, iterate, and ship at high velocity Contribute to product thinking, the overall direction of our product, and growing our design culture, not just shipping new features. You will be joining our design team early and working with our existing product designer. Together, you will form the core of our design function for Kota’s Customer Platform, collaborating to define the future of benefits and insurance. What We’re Looking For Experience as a product designer working on complex products, ideally in B2B, fintech, or other information-dense environments. End-to-end thinking and ownership, from big-picture systems thinking to the smallest interaction detail. Balance of speed and detail, knowing when to move fast and when to obsess over the last 1%. Proven experience creating, maintaining, and scaling design systems and thinking in ways to create reusable patterns and components across each product. Agency, ownership, and autonomy; someone who doesn’t wait to be told what to do. Comfort working with AI tools like Cursor or Claude Code, even if you are not writing production-ready code. A portfolio that shows strong product thinking, interaction design, and craft. Our Values Have Integrity. We care deeply about our why and it won’t jeopardise our how. Care Deeply. Our products are our story, we look at the details, go the extra mile to delight customers. Own Your Ship . Ask why, do the work, get the data, solve the problem, be an owner. Raise the Bar . We continuously look to push past good enough. Expect more, move faster, and never stop raising your and the team’s standards. Play to Win . We exist because we decided to say no to the norm – now we do this everyday. And of course.... Your employee benefits! Health Insurance contribution via Kota Access to a Workplace Pension with matched contributions up to 5% via Kota WFH stipend to support your home office needs Group Life Assurance via Kota Generous Paid Time Off - work hard and take the time you need Annual, company-wide offsite We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status To apply: https://weworkremotely.com/remote-jobs/kota-senior-product-designer
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Headquarters: Remote (AU) HappyCo is a company where people can grow their careers and work with like minded people, with no egos or politics. HappyCo is values driven and offers a flexible, supportive culture. Join HappyCo and Make Work Happy ! Sitting within HappyCo’s mobile product team, the Senior Product Designer, Mobile Experience focuses on the tools frontline property teams use every day to conduct inspections, complete preventive maintenance, resolve work orders, and capture high‑quality property data directly from the field. These experiences must work under pressure, in poor connectivity, and with little tolerance for friction. You will own complex mobile workflows end to end — from discovery through delivery and beyond launch — working as part of a product triad alongside the team’s Product Manager and Engineering Lead. Together, you will help define the team’s roadmap, priorities, and trade-offs in alignment with company goals, product strategy, and long-term vision. Within this triad, you will be responsible for shaping how emerging technologies, particularly AI‑powered experiences, reduce effort, improve accuracy, and accelerate outcomes for frontline users and the businesses they support. The work requires high autonomy, speed, and a willingness to break down silos across product areas to deliver cohesive, scalable experiences. The role suits a designer who demonstrates high‑impact judgment and broad ownership, operating independently regardless of title or formal level. It calls for comfort with experimentation, thoughtful use of AI to increase both user value and internal efficiency, and a day‑to‑day commitment to customer obsession. With direct access to thousands of daily mobile users, success depends on turning customer exposure into visible, actionable insight and regularly sharing patterns and outcomes with teams across HappyCo to inform decisions beyond the mobile surface. What You'll Do | Design Ownership & Impact Own and evolve core mobile workflows used daily by maintenance and property teams in the field. Co-author and articulate a clear mobile product experience vision in partnership with Product Management and Design Leadership, and act as a long-term champion for that vision as the product evolves. Design for real-world constraints: offline usage, unreliable connectivity, performance limitations, device variability, and speed under pressure. Identify and drive improvements across product boundaries, not just within a single product team or feature. Translate complex operational problems into simple, resilient, mobile-first solutions. What You'll Do | Customer Obsession Develop a deep understanding of how maintenance technicians, asset managers, and property managers actually work, rather than how we assume they work. Run timely, pragmatic research including interviews, usability testing, and lightweight validation loops. Bring real customer context, such as quotes, workflows, edge cases, and observed behaviours, into everyday product discussions. Balance customer needs with business goals, technical constraints, and operational realities. Challenge solutions that are technically impressive or user-friendly in isolation but misaligned with business outcomes or strategic priorities. What You'll Do | Design Execution & Speed Design, prototype, test, and iterate quickly using high-fidelity mobile prototypes. Leverage AI-driven tools to accelerate ideation, exploration, validation, synthesis, and delivery as part of your daily workflow. Balance speed with judgment, delivering work that is high quality, scalable, and grounded in evidence. Deliver meaningful customer-facing improvements within your first month. What You'll Do | Product Signals & Insight Own the design perspective on mobile product instrumentation, ensuring key workflows are measurable and observable. Partner with Product and Engineering to define meaningful mobile UX metrics (e.g. task completion, time-on-task, drop-offs, retries, adoption). Regularly monitor and analyze product usage data to identify patterns, friction points, and emerging behaviours. Translate insights into clear hypotheses and concrete design actions. Validate whether shipped changes improve outcomes and iterate based on evidence. What You'll Do | Making Customer Insight Visible Regularly synthesize and share customer insights from mobile usage data, research, and field feedback with the design team, product partners, and the wider organization. Surface patterns and themes, not just isolated findings, to keep teams grounded in real customer needs. Act as a strong, evidence-backed voice for the customer in cross-functional conversations. Create lightweight, repeatable ways for teams to stay close to mobile customers, even when they are not directly involved in the work. Use insights to influence priorities and follow-up actions. What You'll Do | Collaboration, Craft & Culture Partner closely with Product Managers and Mobile Engineers to define scope, navigate trade-offs, and deliver outcomes. Work closely with Design Leadership to shape and evolve the mobile product experience vision, aligning day-to-day execution with longer-term direction. Bring clarity to ambiguity and momentum to complex or stalled problem spaces. Contribute to and strengthen HappyCo’s mobile design system, based on Material 3 and extended through a custom HappyCo theme. Participate actively in Product Design team critiques and formal UX reviews, offering and receiving direct, high-signal feedback. Help raise the bar for design quality, speed, and customer focus across the team. What You Bring Typically 8–10+ years of experience in product design, or equivalent demonstrated impact owning complex, real-world products. Strong product instincts and high personal standards for quality, outcomes, and pace. Proven experience owning end-to-end mobile product design in complex, real-world environments. A portfolio that demonstrates depth of thinking, clear problem framing, and measurable impact. Comfort operating with ambiguity and taking initiative without waiting for permission. A demonstrated habit of monitoring your work after launch and acting on what you learn. Ability to plan and run lightweight user research independently, including interviews, usability testing, and rapid feedback loops. Good judgment around when to go deep on research vs when fast validation is sufficient, balancing rigor with pace, and familiarity with using research platforms (e.g. Great Question or similar) to manage recruitment, insights, and follow-up. Strong business and product acumen, with the ability to weigh customer value against business impact, delivery cost, and strategic trade-offs. Comfort engaging in technical discussions, reading code when helpful, and collaborating closely with engineers on feasibility and implementation details. Willingness to collaborate across time zones (Australia & North America), including regular early morning starts to meaningfully connect with customers and colleagues during shared working hours. Strongly Valued Experience designing B2B or operational mobile products (e.g. field tools, logistics, inspections, healthcare, fintech). A track record of breaking silos and influencing outcomes beyond your immediate scope. Hands-on experience using AI tools (e.g. ChatGPT, Claude Code, Cursor, Lovable, Figma Make, or similar) to accelerate design, prototyping, research synthesis, and insight generation. Familiarity with mobile platform constraints (Flutter, iOS / Android patterns, performance, accessibility). Experience working closely with engineers, including willingness to dive into implementation details or code when useful. Exposure to analytics or adoption tooling (e.g. Gainsight, Adora or similar) and using data to guide iteration. Strong synthesis and communication skills, with the ability to make insights visible and actionable for different audiences. Why Join HappyCo? Make an Impact: Your work will reach millions of residents and thousands of property teams. Culture of Craft: We care deeply about design quality, user impact, and creative exploration. High Autonomy, High Support: You’ll be trusted to lead and supported to grow, with mentorship when you want it. Flexibility & Work-Life Balance: We offer hybrid and remote-friendly policies with flexible hours. Growth & Learning: Access to training, mentorship, and opportunities to grow your skills. Our HappyCo Culture & Benefits HappyCo strives to build better communities. So naturally, we are dedicated to making our own community an enjoyable place that lets us do our best work. We’re devoted to building an inclusive, supportive culture that empowers each HappyCo’er to succeed and grow. To learn more about our culture, check out our careers page! We Offer: - Work from anywhere supported by a flexible company culture - Opportunity to work for one of the fastest growing technology companies in the PropTech industry - Generous paid parental leave - Competitive and equitable pay, including stock options - Access to employee assistance programs to support both physical and mental wellness - Monthly stipends to support Wellness and Home Office expenses Find out more about our AU Employee Benefits here! We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that HappyCo upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status. HappyCo is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. A note to Recruitment Agencies: Please don’t reach out to us about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and HappyCo is not responsible for any fees related to unsolicited resumes. To apply: https://weworkremotely.com/remote-jobs/happyco-senior-product-designer-mobile-experience
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Headquarters: Within the client's Global Information Services (GIS) organization is a team of dedicated resources to build a digital center of excellence. This team is made up of diverse skillsets, roles and unique perspectives that allow us to research, design, build and experiment with tools that we hope customers and our internal employees will find useful, usable, and delightful. These digital offerings connect our customers and partners to our products, services, solutions, and talent, making it simple and easy for the customer to choose OC – driving an increase in engagement, loyalty, retention, and sales. The Stibo Platform Architect will work closely with our digital center of excellence, integration architects, enterprise architects, IT product owners, business digital product managers and partners to develop a deep understanding of our business strategies and our user journeys Leveraging this understanding, the Platform Owner – Stibo is responsible for establishing a common framework to build and run the product data, asset management, syndication of data, and product visualization tools supporting the company’s initiatives across our market facing, digital worker and manufacturing digital portfolios. This role will set the vision and strategy needed to ensure rapid, iterative development and global deployment of industry best features for each of these critical areas. Specifically ensuring we have a comprehensive, nimble, modern, secure, modular, and scalable platform that we can leverage across businesses and global regions. This role will also promote education and drive consensus in setting our platform standards and direction across the GIS organization and with our key partners. Reports to : GIS Product Leader – MDM Product, Program, and Practice Span of Control : Individual Contributor Job Responsibilities Knowing Our Businesses and their Strategies Build relationships within the organization, cross-functionally, and with key business stakeholders; continuously enhance connection to remain aligned with core objectives. Understand the strategic direction of the company’s businesses and execute technical strategies to enhance business results; lead conversations while setting direction for the team, processes and managed relationships. Know what best-in-class IT service organizations do and obtain outside-in market insights to understand and then apply to impact the client positively. Executing Strategy Platform Leadership for Product Management, Data Syndication, and Integration Design with Platform Owners of Publication, Content Management Systems, ERPs, MES, and CRMs. Lead the design and implementation of the data management application framework and architecture for large-scale, scalable product data management and syndications systems designed to support users and customers internationally, 24x7, determining specifications and working parameters for hardware/software interoperability, accounting for scalability, maintainability, and security within design. Establishes reusable and extensible code bases and platforms that serve business, marketing, and customer strategies Execute, consult, and advise on product implementation strategies, upgrades, and integration processes, with existing products and platforms. Establishing and maintaining alliances with key partners and champions IT product concepts and strategies. Ensuring the development and execution of business plans for OC’s chosen platform. Participating in defining product strategies and pricing standards. Participates in the creation of technical approaches/roadmaps for critical use cases that have potential to differentiate the client in customer engagement and influence Evaluates, participates in the selection of and maintenance of partnerships with key internal and external development teams contributing to delivery of digital portfolios Crafts initial solution options to include work categorization and estimates across major disciplines: User Experience, Analytics, Front End Development, Back End Development, Data Integration, DevOps, Quality Assurance, Security and Architecture Collaborate with DevOps, IT project managers product owners, digital team, and technology architects to plan platform application and infrastructure upgrades. product releases, develop release project plan, direct, and manage release execution resources, coordination of workflow between cross function teams, end user training, release roll out and production support Architecture and Solution Delivery Leads digital architecture, design, and standards of the platform. Identifies needs, research and prototypes options, communicates impacts or potential challenges for other teams; builds work plans for new solutions or retrofits Via participation in the GIS Architecture Review Board, leads architectural review for platform owned and contributes to other architectural reviews, impact assessments and estimation processes Shares thought processes and evaluation techniques with other architects and technical resources, promotes education in the processes of solutioning Innovate and Think Strategically Partner with Global Information Services (GIS), business, and commercial leadership to formulate and maintain a technical product platform roadmap of current and future features and functionalities. Conduct market research and analysis to identify trends, and use this information to influence platform development Proactively engage with platform technology vendors to understand their product roadmap and future upgrade and release plans. Influencing in the Function Identify areas of waste and ideate and execute on aligned action plans to create productivity. Participate in special programs or projects that support the long-term strategic goals of the organization. Identify and lead opportunities to improve the effectiveness, value, and perception of the organization . Developing Talent Invest in personal growth and development, clearly focused on self-learning. Foster a high-performing, well-connected global team culture that emphasizes collaboration, accountability, curiosity, and innovation Job Requirements MINIMUM QUALIFICATIONS: Bachelor's degree in computer science, Information Technology or related field; or equivalent experience 5+ years of experience with MDM, PIM, DAM, Syndication, Stibo, Preferred knowledge in Salsify & InDesign 5+ years’ experience in information technology focused projects including websites, portals, apps, mobile, data integration, analytics 5+ years working directly with business teams (commercial, business) in a role understanding and translating business needs into technical implementation Experience Demonstrated expertise in understanding workflows and business processes, identifying issues and providing solutions that leverage PIM/MDM/DAM/Syndication relevant technologies Data management with highly integrated systems, experience designing hierarchy and data precedence rules Data categorization, classification, and hierarchy (inheritance modeling) Working experience in Data Stewardship, Data governance, Product Lifecycle Have functional experience of using STEP for scheduling and monitoring batch processes Understanding of Salsify and syndication software Understanding of agile and waterfall project mgmt. methodologies Proficient in estimating work and project scheduling/sprint planning Knowledge, Skills, & Abilities Demonstrated experience collaborating across regions Demonstrated experience leading resolution of service issues in conjunction with and on behalf of internal teams and external providers Experience in supplier relationships, confidence and presence to deal with suppliers both internal and external and, on-shore or off-shore Experience analyzing and presenting data driven performance results to different levels of audiences and providing insight on root causes and improvement options. Experience using and working with an ITSM platform; Service Now strongly preferred Demonstrated prior experience with applying strong analytical and problem-solving skills The ability to convey relevant information clearly with confidence; understanding others through active listening Demonstrates the ability to build trust, connections, and influence stakeholders Organizational skills to handle multiple priorities and proven ability to execute and deliver results Excellent interpersonal, communication and team-facilitation skills along with strong visualization skills –being able to educate and explain how product data flows downstream to integrated systems Global mindset, foundational not spot solution Ability to travel ~10%, domestic and international To apply: https://weworkremotely.com/remote-jobs/toptal-stibo-sr-architect-platform-owner-for-global-fortune-500
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Headquarters: Brasília - Brasilia, Brasília - Federal District, Brazil Company Description Are you passionate about building robust, high-performance data platforms? Join us as a Data Engineer and work on an innovative solution in the interior decor industry. We at Sigma Software create cutting-edge digital products that transform industries, and this project is no exception. You will be part of a team that combines technology and design to deliver a unique visualization experience for customers. Why join us? You’ll work with modern data engineering tools, enjoy professional growth opportunities, and be part of a supportive, knowledge-sharing culture. CUSTOMER Our client operates in the interior decor sector, delivering innovative digital solutions that enhance the shopping experience. Their advanced visualization tools allow customers to preview furniture and decor items in realistic settings, helping them make confident purchasing decisions. The company blends technology with design expertise to transform how people shop for their homes. PROJECT The project focuses on building a high-performance data platform to support an advanced interior visualization product. This solution enables real-time rendering of home decor items in various styles and environments, powered by robust ELT pipelines and centralized data warehousing. The team works closely with product managers, machine learning engineers, and data scientists to ensure data-driven insights and seamless user experiences. Job Description Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability Conduct architecture reviews and participate in system design discussions to provide technical input Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning Qualifications At least 3-4 years of experience in data engineering, building scalable data systems and pipelines Strong SQL skills Working proficiency in Python Experience building or maintaining data pipelines and working with a data warehouse or analytics stack Strong computer science fundamentals Knowledge of system architecture with emphasis on reliability, availability, and performance Focus on delivering production-ready solutions Attention to detail and commitment to data quality Clear communication skills Comfortable working in a fast-paced, evolving environment Upper-Intermediate level of spoken and written English Additional Information PERSONAL PROFILE Proactive and detail-oriented approach Ability to take ownership of complex data systems Passion for data quality and continuous improvement Strong mentoring and collaboration skills Adaptability in fast-paced project environments To apply: https://weworkremotely.com/remote-jobs/sigma-software-data-engineer-interior-design
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Headquarters: NYC and TLV URL: http://a.team/ai-jobs?utm_source=wwr&utm_medium=post&utm_campaign=wwrai Senior Independent AI Engineer / Architect Remote | Americas, Europe, or Israel Most AI engineers can find work. Finding work worth doing is harder. A.Team is an invite-only network of senior AI engineers, ML engineers, and AI architects working on production AI systems for startups, scale-ups, and global companies. Since 2020, builders in the network have earned more than $200M working with companies including Lyft, Google X, HCA, Unilever, Sightful, D-ID, and others. The Work You'll join small teams tackling problems that matter. Not demos. Not prototypes that never ship. Not another chatbot wrapper. Real systems. Real users. Real outcomes. Recent work has included: - LLM-powered products and workflows - Agent architectures and orchestration systems - Retrieval, evaluation, and reliability infrastructure - Enterprise AI deployments - AI-native products built from zero to one - Machine learning platforms operating at scale You'll work directly with founders, CTOs, and product leaders, helping shape both the technical approach and the outcome. Why Builders Join Most independent engineers eventually run into the same problem: The best opportunities rarely make it to the open market. A.Team exists to solve that. No bidding. No prospecting. No competing with thousands of other freelancers. Just access to ambitious companies, difficult problems, and experienced peers. Who Thrives Here People who have already shipped. Engineers who have deployed AI systems into production, understand the tradeoffs behind the hype, and know how to turn research into business value. You might be an: - AI Architect - AI Engineer - MLOps - Deep Learning Engineer - Data Scientist - Applied AI Engineer - ML Engineer - AI Researcher - Staff+ Engineer focused on AI - Technical founder with deep AI experience What matters is a track record of building and shipping. The Details Typical rates: $120-$170/hr Remote (almost all roles) You keep 100% of your rate Not a Fit Early-career engineers People without production AI experience Small gig seekers Developers focused primarily on simple AI wrappers or templated implementations Apply Tell us what you've built. We'll take it from there. build.a.team/AI-Builders To apply: https://weworkremotely.com/remote-jobs/a-team-senior-independent-ai-engineer-architect
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Headquarters: São Paulo, SP Marketing at TRACTIAN The Marketing team at Tractian crafts the narrative, defines messaging and positioning, and translates our groundbreaking products and features into tangible customer benefits. Our cross-functional team, spanning Product Marketing, Customer Experience, Growth, Branding, and Events, is dedicated to acquiring new customers and possesses a deep understanding of the business. We collaborate closely with many teams to elucidate how we can help our clients reach their full potential. What will you do This professional will lead product enablement for new feature launches by transforming technical information into clear, engaging content that drives understanding and adoption. They will create and manage high-quality assets - such as videos, product demos and tours - while collaborating cross-functionally to ensure consistent positioning. Their work directly impacts how effectively teams and customers adopt new features, improving product usage, alignment, and overall go-to-market success. Responsibilities Plan and execute enablement initiatives for new feature launches, ensuring each release is supported by clear, high-quality assets. Translate product requirements, technical specifications, and engineering context into clear narratives and actionable enablement materials. Create high-quality product launch and feature content end-to-end, including scripting (launch videos, guided demos, and feature explanations), capturing product screens and building realistic demos, producing voiceovers, editing videos, and developing visual assets that clearly showcase functionality and value. Adapt launches into multiple formats - such as video, written content, FAQs, internal announcements, and training materials - while supporting Customer Enablement teams when needed. Publish and maintain enablement assets across the appropriate channels, ensuring consistency in naming, versioning, and distribution. Create complementary materials such as one-pagers, FAQs, quick guides, walkthroughs, GIFs, lightweight decks, and internal reference content. Support internal communication around new feature launches, helping customer-facing teams understand feature value, ideal use cases, and main workflows. Collect feedback on asset consumption, clarity, and effectiveness to improve future launch enablement efforts. Manage a backlog of enablement assets by launch priority, impact, and release timing. Define and maintain quality standards for demos, screenshots, scripts, videos, and other feature-related materials. Help build and maintain a reusable repository of enablement materials organized by product and feature. Measure the consumption and effectiveness of enablement assets to identify what drives understanding and adoption. Identify recurring knowledge gaps and suggest improvements to how product changes are communicated across the organization. Use tools such as Intercom and Arcade to set up in-product tours and guided product experiences that support feature adoption. Requirements 3+ years of experience in product enablement, product education, customer education, product marketing, or similar roles focused on explaining SaaS functionality. Previous experience creating enablement or educational materials for SaaS products and new feature launches. Strong experience explaining product functionality clearly to both technical and non-technical audiences. Hands-on experience producing product content end-to-end, including scripting, screen recording, voiceover, editing, and publication. Strong video editing skills and the ability to independently create polished, engaging product videos. Experience working cross-functionally with Product, Engineering, Marketing, Customer Success, and Support teams. Strong organizational skills with the ability to manage multiple launch timelines, content formats, and priorities simultaneously. High attention to detail and commitment to content quality, consistency, and technical accuracy. Familiarity with Intercom or similar platforms for setting up product tours, in-app guidance, and feature adoption flows. Comfortable working in a fast-paced, high-growth environment with evolving product priorities. Self-starter with strong ownership and the ability to take projects from idea to final delivery with minimal oversight. Bonus Points Experience in B2B SaaS product enablement, customer education, or feature launch communications. Experience with prompt engineering and AI tools usage - it's awesome if you're an AI enthusiast. Experience creating content for product adoption, release enablement, or internal go-to-market readiness. Familiarity with video, audio, and visual content production tools such as Premiere Pro, Camtasia, Loom, Descript, Screen Studio or similar platforms. Experience working closely with Engineering Managers or product development teams on feature communication. Experience creating in-app onboarding flows, product tours, or guided experiences for newly released features (using Intercom or similar feature) To apply: https://weworkremotely.com/remote-jobs/tractian-product-content-specialist
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Headquarters: Barcelona, Connecticut, Spain Job description At Kodify we manage several high traffic web platforms developed using the latest technologies and we work hard to provide the best experience for our users. It is extremely important to us that anyone who joins loves sharing their taste for high-quality products and pays attention to detail. We also value respect, openness, and diversity amongst our teams. We are an international team of around 150 with 13 different nationalities, spread around the world in our different office locations: Barcelona, Altea, Montréal, Los Angeles and several other European countries for the team that works remotely. Role Overview We are seeking an experienced, strategic Senior Product Manager to lead the development and growth of our web-based products. In this role, you will own the full product lifecycle; from discovery and strategy through execution and optimization, working cross-functionally to deliver exceptional user experiences that drive business impact. You will define product vision and roadmap, prioritize features based on user needs and business value, and partner closely with engineering, design, marketing, and analytics teams to bring products to market. This role requires both strategic thinking and hands-on execution, with a strong focus on data-driven decision making and continuous improvement. What You'll Do Product Strategy & Vision Define and communicate product vision, strategy, and roadmap aligned with company objectives Conduct user research, market analysis, and competitive intelligence to identify opportunities Make strategic decisions on feature prioritization using frameworks like RICE, value vs. effort, and customer impact analysis Product Development & Execution Own the full product lifecycle from discovery through launch and post-launch optimization Define project scope, goals, and deliverables in collaboration with stakeholders Write clear user stories, acceptance criteria, and technical requirements for engineering teams Work within Agile methodologies (SCRUM or Kanban) to manage product backlogs and sprint planning Build prototypes and collaborate with UX/UI designers to create intuitive user experiences Data & Experimentation Design and oversee A/B tests and experiments to validate hypotheses and optimize conversion Monitor product KPIs, user behavior analytics, and funnel performance to identify improvement opportunities Conduct cohort analysis, customer segmentation, and unit economics analysis to inform decisions Partner with data teams to build dashboards and reporting for product performance tracking Stakeholder Management & Communication Interface with leadership, marketing, customer support, and other teams to align on priorities Present product updates, insights, and recommendations to executive stakeholders Build strong relationships across the organization to facilitate cross-functional collaboration Advocate for user needs while balancing business objectives and technical constraints Growth & Optimization Drive initiatives across the full customer lifecycle: acquisition, activation, retention, and monetization Optimize conversion funnels, pricing strategies, and user onboarding flows Build a culture of experimentation and continuous improvement within the team Stay current on industry trends, emerging technologies, and best practices in product management What You'll Bring Experience & Background 5-7+ years of experience in product management, with a proven track record of shipping successful digital products Experience managing products in high-traffic consumer web platforms, subscription businesses, e-commerce, adtech, or SaaS Strong portfolio demonstrating end-to-end product ownership and measurable business impact Deep understanding of Agile methodologies and experience working with cross-functional development teams Technical & Analytical Skills Expert-level proficiency with product analytics tools (Google Analytics, Amplitude, Mixpanel, or similar) Hands-on experience with experimentation platforms (Optimizely, VWO, Google Optimize, or similar) Solid understanding of web technologies, APIs, and technical architecture to collaborate effectively with engineering Advanced Excel/Google Sheets skills and experience with data visualization tools (Tableau, Looker, or similar) Product & Business Acumen Strong analytical and mathematical skills with ability to translate data into actionable insights Experience with conversion rate optimization (CRO), funnel analysis, and growth strategies Understanding of UX/UI principles, customer journey mapping, and user research methodologies Knowledge of online marketing channels, SEO fundamentals, and digital acquisition strategies Familiarity with privacy regulations (GDPR, CCPA) Soft Skills & Working Style Exceptional communication skills with ability to influence and align stakeholders at all levels Strategic thinker who can also roll up sleeves and execute tactical work Data-driven decision maker who balances quantitative insights with qualitative user feedback Comfortable with ambiguity and able to thrive in a fast-paced, dynamic environment Collaborative team player with a growth mindset and passion for continuous learning Complete fluency in English is essential Nice to Have Technical background or experience working as a developer, data analyst, or UX designer Degree or postgraduate qualification in business, computer science, mathematics, statistics, or related field Understanding of payment processing, subscription billing, or monetization strategies About You You're a natural leader who can inspire teams and drive alignment across diverse stakeholders You have an eye for great design and user experience, with high standards for product quality You balance user empathy with business pragmatism to make smart tradeoffs You're comfortable making decisions with incomplete information and iterating based on learnings You thrive on solving complex problems and turning ambiguous challenges into clear action plans You're passionate about building products that users love and that drive meaningful business results You value transparency, open feedback, and continuous improvement in yourself and your team What We Offer Generous training and development budget (10% of your annual salary) 2x a year company on-sites 1x per year company retreat (think, Mexico, Dominican Republic…) Flexible/Remote working 1 month paid sabbatical after 3 years with us! Generous PTO Day off on your Birthday Extended parental leave Health and Wellness Budget Health insurance Cool and modern office space Latest tech equipment Healthy snacks and drinks provided at all times All done! Your application has been successfully submitted! Other jobs To apply: https://weworkremotely.com/remote-jobs/kodify-senior-product-manager
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Headquarters: Remote Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch. With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started. Backed by Greylock and Y Combinator, fully remote since 2018. Director, Email Deliverability Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch. We built the best-in-class SMS marketing platform and the revenue-driving AI features no other platform offers — and now we're bringing that same obsession to email. As we expand into a true multi-channel platform for high-growth DTC brands, getting every message to the inbox is mission-critical. Backed by Greylock and Y Combinator, fully remote since 2018. Job Description As the Director, Email Deliverability at Postscript, you'll own the strategy, infrastructure, and sender reputation that get our customers' email to the primary inbox. This is a foundational, hands-on leadership role: you'll build Postscript's email deliverability function from the ground up — IP and domain architecture, authentication standards, reputation monitoring, and mailbox-provider relationships — while serving as the trusted deliverability advisor our brands rely on as they migrate and scale their email programs on Postscript. You'll partner closely with Product and Engineering to shape the deliverability tooling and infrastructure our platform is built on, and with Customer Success and Support to keep our customers' programs healthy. You'll set the standard for how 20,000+ brands reach the inbox — and as the function grows, you'll build and lead the team behind it. This is a fully remote position and can be based in the US or Canada. Key Responsibilities Deliverability Strategy & Sender Reputation Own Postscript's end-to-end email deliverability strategy — IP pool architecture, domain strategy, and shared vs. dedicated sending models. Design and manage IP and domain warming programs that get new senders to volume quickly and safely. Establish and enforce authentication standards (SPF, DKIM, DMARC, BIMI) and DMARC alignment across customer sending domains. Monitor sender reputation, inbox placement, and blocklist activity, and lead rapid remediation when issues arise. Keep Postscript ahead of evolving mailbox-provider requirements — Gmail, Yahoo, and Microsoft bulk-sender rules, spam-rate thresholds, and one-click unsubscribe. Customer Deliverability & Advisory Serve as the senior deliverability expert for our brands — auditing programs, diagnosing inbox-placement issues, and building remediation plans. Lead deliverability onboarding for brands migrating their email to Postscript, including reputation transfer and warming strategy. Translate complex deliverability concepts into clear, actionable guidance that marketers can act on. Own escalations, partnering with customers to protect and grow their inbox placement and sending reputation. Cross-Functional Collaboration & Foundation-Building Partner with Product and Engineering to build the deliverability tooling, monitoring, and infrastructure that power the platform — and influence the roadmap with deliverability requirements. Build the playbooks, processes, and standards that scale deliverability across thousands of senders. Establish feedback loops (FBLs), Postmaster Tools, and reporting that give customers and internal teams visibility into deliverability health. As the function matures, hire, mentor, and lead a team of deliverability specialists. Industry Expertise & Compliance Maintain expert-level knowledge of the deliverability landscape and represent Postscript in the broader community (e.g., M3AAWG, emailgeeks). Build and steward relationships with mailbox providers and industry partners. Ensure Postscript's sending practices and customer programs stay compliant with CAN-SPAM, GDPR, and mailbox-provider policies. Leverage AI tools and internal systems to scale deliverability monitoring, diagnostics, and customer guidance. What We'll Love About You 8+ years of dedicated email deliverability experience, ideally at an ESP, CDP, or high-volume sending platform (e.g., SendGrid/Twilio, Attentive, Braze, Klaviyo, Iterable, Validity/Return Path). Deep technical command of email authentication (SPF, DKIM, DMARC, BIMI), IP and domain warming, sender reputation, and feedback loops. Hands-on experience owning deliverability for bulk/high-volume senders, including diagnosing and remediating blocklistings and inbox-placement problems. Fluency with Google Postmaster Tools, Yahoo Sender Hub, and the 2024+ Gmail/Yahoo/Microsoft bulk-sender requirements. Existing relationships with mailbox providers and/or active participation in the deliverability community (M3AAWG, emailgeeks, etc.) strongly preferred. A consultant's instinct — you can translate deep technical detail into strategy that non-technical marketers understand and act on. Player-coach mindset: happy to do the hands-on work today and build the playbooks (and eventually the team) for tomorrow. Strong understanding of e-commerce/DTC brands and how email drives revenue (e-commerce experience strongly preferred). Comfortable building from scratch in a fast-paced, early-stage environment, with a growth mindset toward AI and emerging tooling. Outstanding written and verbal communication skills, with high reliability and outstanding follow-through. What You'll Love About Us The chance to build a function from the ground floor and define how 20,000+ brands reach the inbox. High-growth startup environment with opportunities to make a meaningful impact and grow your career. Fully remote work culture – work from anywhere. Fun, collaborative team passionate about e-commerce and innovation. Flexible paid time off to recharge and prioritize your well-being. Comprehensive health, dental, vision insurance. For information about how we use your personal data, please see our U.S. Job Applicant Privacy Notice You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals. To apply: https://weworkremotely.com/remote-jobs/postscript-director-email-deliverability
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Headquarters: USA (Remote) Mechanical Orchard is reinventing how the world’s most critical software gets modernized. We’re an applied AI company focused on one of the hardest problems in enterprise technology: rewriting complex legacy systems in a way that is provably correct, low risk, and fast enough to matter. By focusing on system behavior rather than code alone, we turn modernization from a high-stakes, failure-prone effort into a repeatable, confidence-building process that unlocks ongoing innovation. Joining Mechanical Orchard means working on problems that truly matter—to our customers, their businesses, and the people who rely on these systems every day. We’re building technology and methodology that challenge long-standing industry assumptions, prioritizing proof over promises and progress over theatrics. If you care deeply about quality, rigor, and doing the right thing—even when it’s hard—you’ll find your people here. Position Overview The Director of Product Infrastructure and Release Engineering is a senior leadership role responsible for the strategy, coherence, and execution of Mechanical Orchard’s infrastructure and release capabilities—spanning infrastructure products, installation and deployment workflows, and operational enablement for customers and forward-deployed engineering teams. In this role you will: Report to the VP of Engineering, providing strategic direction, product thinking, and cross-functional alignment across Platform, Forward-deployed Engineering, Sales, Security, and Product Management. Manage the Product Infrastructure and Release Engineering teams. Ensure that the Imogen Platform is not merely “delivered,” but designed as a scalable, repeatable, and evolving product surface that accelerates customer adoption and long-term platform success. Ensure all of Imogen's components are released and deployable into a diverse set of customer environments, meeting the needs of enterprise customers (quality, software supply chain audits, and more). Turn infrastructure into a first-class product capability: opinionated where possible, flexible where necessary, and aligned with Mechanical Orchard’s modernization strategy and GTM motion. Key Responsibilities Infrastructure Product Strategy & Ownership Own the end-to-end infrastructure product vision, including installers, deployment tooling, reference architectures, and operational patterns. Define and evolve a cohesive infrastructure roadmap aligned with Platform architecture, customer needs, and GTM strategy. Partner closely with Product Leadership to balance near-term customer needs with long-term platform scalability and repeatability. Establish infrastructure as a product with clear value propositions, constraints, supported configurations, and lifecycle expectations. Drive standardization where possible while enabling extensibility for complex enterprise environments Platform & Architecture Alignment Define platform architecture and roadmap decisions to ensure deployability, operability, and customer-environment compatibility are first-class concerns. Ensure infrastructure requirements are surfaced early in platform design discussions. Champion architectural patterns that reduce installation complexity, operational burden, and long-term support cost. Partner with Security and Compliance to ensure infrastructure designs meet enterprise and regulatory expectations. Execution & Operational Excellence Partner with Infra Delivery Leadership to define installation and deployment strategy across customer and Mechanical Orchard environments. Ensure installation processes are repeatable, measurable, and continuously improving, leveraging the latest advancements in AI to support execution Build Mechanical Orchard’s system for reliable software releases, by defining standards, providing tools, and establishing clear boundaries between the release engineering team and platform product teams. Define and refine success metrics for infrastructure delivery into customer environments (e.g., time-to-install, failure rates, support load). Ensure feedback from real-world deployments is systematically incorporated into infrastructure product evolution. GTM, Sales & Customer Enablement Partner with Sales, Infra Delivery Leadership, and Product to ensure infrastructure capabilities are accurately represented in pre-sales and GTM motions. Partner with Infra Delivery Leadership to define and maintain sales-enablement assets (reference architectures, deployment options, constraints, and expectations). Serve as a senior technical partner during complex or high-risk sales pursuits. Ensure infrastructure offerings align with pricing, packaging, and customer expectations. Help shape GTM strategy around standard vs. custom infrastructure deployments. Ideal Candidate Profile 10+ years of experience in infrastructure engineering, platform engineering, or developer tooling. Proven track record building infrastructure as a product, incl. deep expertise with deployments in complex enterprise environments (cloud, hybrid, regulated). Strong architectural instincts paired with pragmatic delivery experience. Hands-on experience with latest AI coding tools, model capabilities, and industry trends Demonstrated ability to operate cross-functionally across Product Engineering, Product, Forward-deployed Engineering Teams, Sales, and Security. Excellent written and verbal communication skills, particularly around architecture, strategy, and executive alignment. The ability to navigate ambiguity and deliver high-quality product experiences on tight timelines and in line with our business aspirations. A bias for action - you’re not afraid to roll up your sleeves, to talk to a customer or to figure out a new way to use AI tools to your advantage. Mechanical Orchard is a remote-first company, with employees working across time zones and locations. This role does not have a requirement for in-office attendance, but is expected to work hours that maximize collaboration with their team (specifics can be discussed during the interview process). There will be travel to company and team meetings, as well as customer visits (1-2 times per quarter, up to ~20% of the time). Mechanical Orchard, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Mechanical Orchard, Inc. is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Mechanical Orchard, Inc. are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Mechanical Orchard, Inc. will not tolerate discrimination or harassment based on any of these characteristics. Mechanical Orchard, Inc. encourages applicants of all ages. Mechanical Orchard, Inc. will provide reasonable accommodation to employees who have protected disabilities consistent with local law. We look forward to reviewing your application. Thanks! To apply: https://weworkremotely.com/remote-jobs/mechanical-orchard-director-of-engineering-product-infrastructure-and-release-engineering
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More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a commercial-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives. The Senior Specialist, Global QMS will help implement Orca Bioâs global quality management system across all sites. This role will support and lead the internal audit program, supplier management program, and inspection readiness. This role will support the growth and expansion of the global quality program to support manufacturing of our cell therapy products. You will help establish, implement and maintain the audit program across Orca Bio sites to ensure compliance with GxP and regulatory expectations. Your role will support Orca Bios commercial readiness and ongoing clinical programs by managing and facilitating audits, resolving supplier-related quality issues and interacting with quality management teams at the site levels to ensure consistent application of quality systems across the organization. \n Responsibilities: Plan, schedule and execute internal audits across all sites and functions in accordance with the internal audit program. Develop audit agenda, conduct interviews, review processes and generate audit reports. Support the global Quality Management Review (QMR) process, ensuring timely data collection, analysis, and reporting to senior leadership. Support the supplier qualification and management program, including risk assessments, supplier audits, and ongoing monitoring to ensure compliance with GxP requirements. Drive global inspection management activities, ensuring cross-functional and site readiness for FDA, EMA, and other health authority inspections. Provide oversight and guidance to site QMR administrators ensuring consistent quality system implementation across all Orca Bio sites. Establish and monitor global QMS key performance indicators (KPIs), oversee trending of quality metrics, and ensure data-driven insights are used to improve quality systems and performance. Partner with IT and business process owners to identify and implement QMS system enhancements, including defining requirements, driving prioritization and ensuring changes are validated and compliant. Review, approve, and provide quality oversight for validation documentation (e.g., equipment qualification, computer system validation, process validation) for global enterprise systems (e.g. MasterControl, ERP systems, Trackwise, etc.) ensuring alignment with regulatory and internal requirements. Collaborate with cross-functional and site leadership teams to drive continuous improvement initiatives, ensuring the QMS evolves in line with business needs and regulatory expectations. Experience: Bachelorâs degree in a scientific or engineering discipline required; advanced degree preferred. Minimum 5+ years of relevant Quality Assurance or Quality Systems experience in a GxP-regulated environment, with at least 2-3 years in a leadership role. Strong knowledge of global quality regulations and standards (FDA, EMA, ICH, ISO 9001, 21 CFR Parts 210/211/820, EU GMP). Proven experience leading Quality Management Review, internal audit programs, supplier management processes, and validation oversight. Demonstrated success in establishing and trending quality performance metrics and KPIs. Experience supporting and/or administering electronic QMS systems and partnering with IT for system enhancements. Experience working in a multi-site or global quality organization strongly preferred. Excellent organizational, analytical, and communication skills, with the ability to influence and collaborate across functional and site boundaries. \n $90,000 - $120,000 a year \n The anticipated annual salary range for this job is based on prior experience in the role/industry, education, location, internal equity, and other job-related factors as permitted by law. For remote-based positions, this range may vary based on your local market. Full-time employment positions will also be eligible to receive pre-IPO equity and annual bonus, in addition to competitive medical, dental, and vision benefits, PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. Other perks include subsidized daily lunches and snacks at our on-site locations. Who we are We are driven by a passion for science and compassion for patients. We act with urgency to ensure our treatments are one day accessible to all who need them. We live by our core values of passion, courage, and integrity. Excellence in our work means the chance to unlock a better quality of life for our patients, and with that comes tremendous responsibility. We innovate on a path that hasnât been paved. We embrace an entrepreneurial spirit and take calculated risks to achieve our mission. We arenât afraid to ask âwhy notâ and challenge the status quo. We maintain a start-up culture of camaraderie and leadership by example, regardless of title. Weâre proud to be an equal opportunity employer, and recognize that celebrating our differences creates stronger, lasting solutions that better serve our team, our patients and their healthcare providers. Notice to staffing firms Orca Bio does not accept resumes from staffing agencies with which we do not have a written agreement and specific engagement for a particular opening. Our employment activities, inquiries and offers are managed through our HR/Talent team, and all candidates are presented through this channel only. We do not accept unsolicited resumes, and we rarely outsource recruitment. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Research AT the horizon of AGI Surge AI Research Fellowship * * * Our mission is to raise AGI with the richness of human intelligence, curious, witty, imaginative, and full of unexpected brilliance. Key Information Text Advancing AI with uncompromising rigor What is the Surge AI Fellowship Program? The Surge AI Fellowship is founded on a singular conviction: progress in artificial intelligence must be grounded in quality at the highest level. In recent years, AI systems have achieved remarkable breakthroughs yet they continue to reveal critical limitations when applied to academic research. To address this, we are convening leading scholars and practitioners, PhD-level experts across disciplines, to guide the development of models capable of performing at the frontier of human knowledge. Our initial efforts are concentrated in the STEM fields, where rigor, precision, and depth of understanding are indispensable. Our vision is a future where AI is both safe and accurate—advancing human knowledge while meeting the most exacting standards of scholarship. To realize this, we are committed to ensuring that the world's brightest minds are the ones leading this initiative. I think that cooperation with AI is the future of math research, and we all need to learn how to do research in a new way. Dr. Bogdan Grechuk / Professor of Mathematics & IMO Gold Medalist What to expect What are the responsibilities of a Fellow? Fellows are entrusted with advancing the frontier of evaluating model development. They focus on systematically identifying the limitations and failure modes of current AI systems, designing rigorous challenges to probe their boundaries, and collaborating with Surge AI leadership to propose and refine strategies for improvement. This program complements, rather than replaces, ongoing scholarly or professional commitments. Fellows retain full autonomy in setting their schedules, with compensation provided on an hourly basis. I find Surge's emphasis on quality truly amazing. It's quite reassuring to know it's okay to take the time to ensure I'm able to produce as high-quality work as I can. Emily de Oliveira Santos Work with those at the frontier Join an elite team of researchers from top academic and industry institutions is deeply committed to model safety, benchmark rigor, and steering the next wave of AI advancement. We have experts across multiple disciplines with a particular focus on STEM related fields. Join a team from Harvard, MIT, Cambridge, Columbia, Cambridge and other leading institutions. Surger Spotlight Dr. Bogdan Grechuk IMO Gold Medalist & Professor of Mathematics Read the Interview What’s in it for you You’ll gain access to some of the most highly sought-after projects on our platform and contribute to high-profile, deeply impactful work that is exclusive to our select team. In this role, you’ll collaborate closely with our leadership team, where your feedback is not only welcomed but essential. We offer competitive pay, t
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Serve as the senior technical evaluator within the team, responsible for the design, calibration, and adjudication of evaluation suites and gate thresholds across agent archetypes. Lead gate reviews under the Team Lead’s authority, own the regression-pack methodology for AI/ML model changes, and act as the technical custodian of evaluation quality and drift hygiene. Make an Impact by: Design and maintain offline evaluation suites (golden sets, regression packs, adversarial/safety probes) and the continuous-evaluation scoring pipeline across archetypes. Conduct operability gate reviews: assess evidence packs, reproduce evaluation results, and recommend go/no-go with documented findings. Own the model-update regression pack methodology and adjudicate regression runs against archived baselines with AIML Operations team. Calibrate gate thresholds against production reality and maintain evaluation drift hygiene (golden-set rotation, hold-out sets, judge calibration). Produce the monthly quality report per agent: eval trends, failure-mode taxonomy, and defect clusters with reproduction traces. Mentor members of the team when needed and review their work for quality and consistency. Skills for Success: Bachelor’s or Master’s degree in Computer Science or a related field 6+ years in ML/data/software with strong evaluation or quality focus Hands-on experience evaluating LLM or ML systems LLM/agent evaluation design and statistical rigour Python and evaluation tooling (promptfoo, DeepEval, or custom harnesses) Data analysis and metric interpretation Tracing/observability tooling Analytical rigour and attention to detail Clear technical writing for gate findings Ability to influence build teams on quality Understanding of telco customer intents and journeys Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Telecommunications Referrals increase your chances of interviewing at Singtel by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Our Team We are a diverse and dedicated team working on the evaluation of GenAI-powered, multidisciplinary academic research products, such as LeapSpace and Scopus. Our mission is to ensure that scholarly content is accurately represented and used in Gen-AI products that support better research outcomes. We place strong emphasis on data quality, collaboration, and continuous learning across disciplines. About The Role Elsevier is looking for a Senior AI Evaluation Expert with a strong background and expertise across one or more scientific, technical, health, social science, or scholarly research domains to join our Evaluation Team. You will play a crucial role in managing evaluations for GenAI products across multidisciplinary research domains, supporting the design, execution and analysis of evaluation of solutions that support research-focused customers across scientific and technical domains. You will be an integral part of product development through live-production and release-readiness evaluation of GenAI products. You will work closely and in partnership with stakeholder groups across Academic and Research (A&G), including Product, Data Science, Technology, Commercial, and Marketing, to support targeted business outcomes. Through structured evaluation and scientific judgment, you will help ensure that our AI solutions reflect real-world scientific and scholarly understanding. This role will report into the GenAI Evaluation Lead, A&G. Key Responsibilities Apply scientific and domain expertise to design and oversee execution of evaluation studies Use AI and expert human review to prepare evaluation sets specific to product use cases Manage and participate in expert human and automated evaluation of GenAI output Support development of automated evaluation approaches through human validation Manage evaluators to score GenAI output through formal evaluation and user feedback Align evaluations with Operations, Product, and Marketing Translate evaluation findings into clear, documented recommendations to Operations and Product stakeholders Required Qualifications Strong academic (PhD minimum) background in one or more of the following: life sciences, physical sciences, engineering and technology, health sciences, social sciences, arts and humanities, or related multidisciplinary fields Experience evaluating or validating AI or algorithmic outputs using scientific or scholarly research data Experience applying scientific or domain expertise in structured data or content environments (e.g. databases, taxonomies, or similar systems) Solid technical understanding is a plus (e.g. data flows, APIs, GitHub) Ability to work well in a matrixed organization and on cross-functional teams Strong management and communication skills Competencies Collaboration and team player! Customer centric approach Strong critical thinking and analytical skills Communication, time management and presentation skills Results-oriented self-starter with sense of urgency Effectively manages day-to-day issues and problems without intervention Work In a Way That Works For You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working For You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home. (Applicable for Bangalore & Chennai). About The Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Information Services Referrals increase your chances of interviewing at Elsevier by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Our Team We are a diverse and dedicated team working on the evaluation of GenAI-powered, multidisciplinary academic research products, such as LeapSpace and Scopus. Our mission is to ensure that scholarly content is accurately represented and used in Gen-AI products that support better research outcomes. We place strong emphasis on data quality, collaboration, and continuous learning across disciplines. About The Role Elsevier is looking for a Senior AI Evaluation Expert with a strong background and expertise across one or more scientific, technical, health, social science, or scholarly research domains to join our Evaluation Team. You will play a crucial role in managing evaluations for GenAI products across multidisciplinary research domains, supporting the design, execution and analysis of evaluation of solutions that support research-focused customers across scientific and technical domains. You will be an integral part of product development through live-production and release-readiness evaluation of GenAI products. You will work closely and in partnership with stakeholder groups across Academic and Research (A&G), including Product, Data Science, Technology, Commercial, and Marketing, to support targeted business outcomes. Through structured evaluation and scientific judgment, you will help ensure that our AI solutions reflect real-world scientific and scholarly understanding. This role will report into the GenAI Evaluation Lead, A&G. Key Responsibilities Apply scientific and domain expertise to design and oversee execution of evaluation studies Use AI and expert human review to prepare evaluation sets specific to product use cases Manage and participate in expert human and automated evaluation of GenAI output Support development of automated evaluation approaches through human validation Manage evaluators to score GenAI output through formal evaluation and user feedback Align evaluations with Operations, Product, and Marketing Translate evaluation findings into clear, documented recommendations to Operations and Product stakeholders Required Qualifications Strong academic (PhD minimum) background in one or more of the following: life sciences, physical sciences, engineering and technology, health sciences, social sciences, arts and humanities, or related multidisciplinary fields Experience evaluating or validating AI or algorithmic outputs using scientific or scholarly research data Experience applying scientific or domain expertise in structured data or content environments (e.g. databases, taxonomies, or similar systems) Solid technical understanding is a plus (e.g. data flows, APIs, GitHub) Ability to work well in a matrixed organization and on cross-functional teams Strong management and communication skills Competencies Collaboration and team player! Customer centric approach Strong critical thinking and analytical skills Communication, time management and presentation skills Results-oriented self-starter with sense of urgency Effectively manages day-to-day issues and problems without intervention Work In a Way That Works For You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working For You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home. (Applicable for Bangalore & Chennai). About The Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Technology, Information and Media Referrals increase your chances of interviewing at RELX by 2x See who you know
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Direct message the job poster from Aspire, Jordan Marina Mishriki Marina Mishriki Global Technical Recruiter | Strategic Talent Acquisition | Employer Branding | Vendor Management | AI-Driven Recruiting | Hiring Across Egypt… Senior LLM Evaluation Engineer (AI Quality Engineer) About the Role We are seeking an experienced Senior LLM Evaluation Engineer to ensure the quality, accuracy, and reliability of Generative AI solutions used across our digital platforms. In this role, you will define and execute evaluation strategies for Large Language Models (LLMs), ensuring AI-generated content is factually correct, consistent, compliant, and production-ready. As the quality owner for AI-powered applications, you will design evaluation frameworks, create benchmark datasets, assess model performance, identify hallucinations and reasoning failures, and provide actionable feedback to improve prompts, retrieval pipelines, and model behavior. You will collaborate closely with AI Engineers, Product Managers, Medical, Legal & Regulatory (MLR), and Business stakeholders to ensure AI systems meet the highest quality standards before release. Key Responsibilities Design and execute comprehensive evaluation strategies for LLM-powered applications. Develop benchmark datasets, golden datasets, and evaluation scenarios based on business requirements and approved reference data. Evaluate AI-generated outputs for: Factual accuracy Consistency Completeness Relevance Groundedness Hallucinations Unsupported claims Toxicity and safety concerns Perform manual evaluations and human-in-the-loop assessments of AI responses. Design acceptance criteria and quality metrics for Generative AI applications. Execute regression evaluations following model, prompt, RAG, or configuration changes. Identify and document AI failures, edge cases, reasoning errors, prompt failures, and retrieval issues. Produce detailed evaluation reports, quality scorecards, and release recommendations. Collaborate with AI Engineers to improve prompts, RAG pipelines, embeddings, and model configurations based on evaluation findings. Validate AI responses against trusted knowledge sources and business rules. Support continuous improvement by building reusable evaluation datasets and test assets. Define AI quality standards, governance practices, and evaluation methodologies across AI initiatives. Required Qualifications 8+ years of experience in Software Quality, AI Quality Engineering, Machine Learning, Data Science, or related fields. Hands-on experience evaluating Large Language Models (LLMs) or Generative AI applications. Strong understanding of LLM behavior, prompt engineering, and Retrieval-Augmented Generation (RAG). Experience identifying hallucinations, reasoning failures, factual inaccuracies, and inconsistent AI outputs. Experience designing evaluation datasets, benchmark scenarios, and acceptance criteria. Strong analytical and critical thinking skills with exceptional attention to detail. Experience documenting evaluation results, quality metrics, and production readiness assessments. Excellent communication skills with the ability to collaborate across technical and business teams. Preferred Qualifications Experience with AI evaluation frameworks such as DeepEval, Ragas, LangSmith Evaluations, Promptfoo, OpenAI Evals, or similar tools . Experience evaluating RAG systems and retrieval quality. Understanding of LLM-as-a-Judge methodologies and human evaluation workflows. Experience testing AI applications in regulated industries such as healthcare, pharmaceutical, legal, or finance. Familiarity with Azure AI Foundry, Azure OpenAI, OpenAI APIs, Anthropic Claude, Gemini, or similar platforms. Experience with Playwright or API testing tools is a plus. Technical Skills Large Language Models (LLMs) Generative AI LLM Evaluation AI Quality Assurance Prompt Engineering Prompt Evaluation Retrieval-Augmented Generation (RAG) Hallucination Detection Groundedness Evaluation Benchmark Dataset Creation Human-in-the-Loop Evaluation Regression Evaluation AI Safety & Compliance API Testing Python (preferred) Azure AI Foundry (preferred) LangSmith, Ragas, DeepEval, Promptfoo, or equivalent evaluation frameworks Nice to Have Experience with healthcare or regulated AI solutions. Knowledge of AI governance, responsible AI, and model validation practices. Experience working with vector databases and knowledge retrieval systems. Familiarity with automated evaluation pipelines and AI observability platforms. Experience collaborating with cross-functional AI engineering and product teams. What You'll Bring You are passionate about ensuring AI systems are trustworthy, accurate, and safe. You understand that building an LLM is only part of the solution—evaluating, validating, and continuously improving its outputs is equally important. You enjoy combining analytical thinking with human judgment to ensure AI applications deliver reliable, production-ready experiences. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Aspire, Jordan by 2x See who you know
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Position: Senior Biomedical AI Evaluation Expert Company: Elsevier Location: Frankfurt or Amsterdam (hybrid) Are you passionate about using scientific expertise to improve AI-driven life sciences tools? About Our Team We are a diverse and dedicated team working on life sciences data and digital solutions. Our mission is to ensure that scientific content is accurately represented and used in AI-driven products that support better research and health outcomes. We place strong emphasis on data quality, collaboration, and continuous learning across disciplines. About The Role Elsevier is looking for a Senior Biomedical AI Evaluation Expert with a strong chemistry background to join our Evaluation Team. You will play a crucial role in managing evaluations for GenAI products for life sciences, supporting the design, execution and analysis of evaluation of solutions that support pharmaceutical companies with safety and efficacy decisions. You will be an integral part of product development through live-production and release-readiness evaluation of GenAI products. You will work closely and in partnership with stakeholder groups across Corporate Markets - including Content, Product, Data Science, Technology, Commercial, and Marketing - to support targeted business outcomes in addition with colleagues in other groups across Elsevier. Through structured evaluation and scientific judgment, you will help ensure that our AI solutions reflect real-world scientific understanding. This role will report into the Senior Manager AI Evaluation, Life Sciences. Key Responsibilities Apply scientific expertise to design customer-focused success criteria for AI solutions Use AI and human review to prepare evaluation sets specific to product use cases Manage and participate in expert human and automated evaluation of GenAI output Support development of automated evaluation approaches through human SME validation Manage SME evaluators to score GenAI output through formal evaluation and user feedback Align evaluation with Operations, Product, and Marketing delivery team strategies Translate evaluation findings into clear, documented recommendations to operations and product stakeholders Required Qualifications Strong academic background in life sciences (e.g. bioinformatics, cheminformatics, biochemistry, medicinal chemistry, pharmacology, or similar) Experience evaluating or validating AI or algorithmic outputs using scientific data Experience applying scientific expertise in structured data or content environments (e.g. databases, taxonomies, or similar systems) Solid technical understanding (e.g. data flows, APIs, GitHub) Ability to work well in a matrixed organization and on cross-functional teams Strong management and communication skills to expert audience Competencies Collaboration and teamwork Customer focus Management Strong critical thinking and analytical skills Communication and presentation skills Results-oriented self-starter with sense of urgency Effectively manages day-to-day issues and problems without intervention Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. About The Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. Primary Location Base Pay Range: Germany - Frankfurt (Baseler Platz) €62,200 - €103,500. If performed in NLD Amsterdam (Radarweg), the base pay range is €59,300 - €98,800. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Business Development and Sales Industries Technology, Information and Media Referrals increase your chances of interviewing at RELX by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . TalentCo provided pay range This range is provided by TalentCo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range £75,000.00/yr - £95,000.00/yr Direct message the job poster from TalentCo Delan Geyer Delan Geyer Head of Tech & Ops @ TalentCo | Building elite AI startups Senior AI Evaluation Engineer TalentCo are delighted to be partnering with an established SaaS business at the forefront of secure customer engagement and Conversational AI, looking to hire a high-calibre Senior AI Evaluation Engineer into their growing AI organisation. The core role of the Senior AI Evaluation Engineer will be to define, build and operate the evaluation systems used to measure the quality, reliability and safety of production RAG, conversational and Agentic AI applications. You'll work across retrieval, generation, multi-turn conversations, agent reasoning and tool use, combining exploratory investigation with robust Python automation. This isn't a conventional QA or test automation role; you'll define what good AI performance looks like, translate it into measurable criteria, and build the datasets, tooling and release controls needed to evaluate non-deterministic AI systems. This hire can be based remote-first in the UK, with occasional travel to their HQ (just north of London) as required. As Senior AI Evaluation Engineer you will: Define evaluation strategies, metrics, acceptance thresholds and release gates across conversational, RAG and Agentic AI applications. Build and maintain automated evaluation frameworks in Python using tools such as Ragas and DeepEval. Create representative evaluation datasets, golden test cases, adversarial cases and regression suites across complex AI workflows. Evaluate RAG and agent behaviour across retrieval quality, grounding, hallucination, tool use, reasoning, memory, safety and multi-turn conversations. Integrate evaluation into CI/CD workflows and work closely with AI, Software Engineering, Product and Security teams to identify failures and improve system performance. We want to hear from you if: You have a strong Software Engineering, AI Evaluation, Quality Engineering or Test Automation background, with significant experience evaluating production RAG and Agentic AI systems. You're highly proficient in Python and comfortable building maintainable evaluation libraries, test harnesses and automated evaluation pipelines. You have hands-on experience with Ragas, DeepEval or comparable LLM evaluation frameworks. You understand modern LLM applications including embeddings, vector retrieval, reranking, prompting, tool calling and agent orchestration. You have experience with AI security, red-teaming or responsible AI, ideally within regulated environments. What do they offer? Base salary of £75k–£95k, dependent on experience Comprehensive benefits package including bonus and Share Incentive Scheme Remote-first working with flexible arrangements 25 days holiday, private healthcare options and pension scheme Opportunity to take ownership of AI evaluation across a growing Conversational AI platform Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Quality Assurance, Engineering, and Information Technology Industries Software Development and Financial Services Referrals increase your chances of interviewing at TalentCo by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments. As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about? This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates. This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next. As a Member of Technical Staff, North Modelling (Evals), You Will: Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark. Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams. You May Be a Good Fit If You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection. You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs. You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on. You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding. You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks. If some of the above does not line up perfectly with your experience, we still encourage you to apply. Location This team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Cohere by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . UoP- onlu Hybrid work from Warsaw We are looking for our Client an experienced AI Security Red Team Lead to lead offensive security testing of AI systems and strengthen the organization's AI security capabilities. This role combines hands-on red teaming, vulnerability research, and collaboration with senior stakeholders to identify and mitigate emerging AI-related risks. Key responsibilities: Lead and execute AI Red Team engagements and security assessments. Identify, test, and analyze vulnerabilities in AI systems and applications. Assess AI-specific threats and attack techniques. Develop custom tools and automation to support offensive security activities. Advise technical and business stakeholders on AI security risks and mitigations. Act as an SME in Offensive AI Security and stay current with the latest trends and threats. Key requirements: 5+ years of experience in Red Teaming, Penetration Testing, Vulnerability Research, or Exploit Development. Experience with structured red team exercises such as TIBER-EU, CBEST, or similar. 3+ years of web exploitation experience and at least 1 year of AI Red Teaming experience. Strong understanding of AI threats, attack techniques, frameworks, and technology stacks. Experience in AI vulnerability analysis. Strong coding and scripting skills for building security tools and automation. Excellent English and stakeholder communication skills. Nice to have: Advanced offensive security certifications (OSCP+, OSEE, OSCE3, SEC542, SEC522). AI Red Team certifications. CVEs, security research publications, or conference presentations. Contributions to open-source or commercial security tools. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Hays by 2x See who you know
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Description Keeper Security is hiring a Senior Solution Architect, Identity Security to join our Sales Engineering organization. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the Chicago, IL or El Dorado Hills, CA metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help shape the technical strategy behind Keeper’s most important enterprise opportunities. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at . About the Role This is a senior, customer-facing solution architecture role focused on strategic enterprise opportunities in identity security and privileged access management. The ideal candidate has deep experience leading complex technical engagements, shaping solution direction and serving as a trusted advisor across executive and technical audiences. This role partners closely with Sales Engineering, Sales Leadership, Product and other cross-functional teams to establish technical vision, drive architectural alignment and support success across a portfolio of strategic accounts. The Solution Architect engages early in enterprise sales cycles, leads complex discovery and solution design, guides proof-of-concept strategy and execution, and helps elevate the quality of technical engagements across the field organization. Responsibilities
Engage early in strategic enterprise opportunities to establish technical direction, align on customer outcomes and position Keeper’s identity security platform effectively
Lead discovery sessions that uncover privileged access challenges, architectural constraints, business drivers and technical requirements across complex customer environments
Design and articulate reference architectures that map Keeper’s platform capabilities to hybrid cloud, on-premises and SaaS environments
Support and guide proof-of-concept and proof-of-value engagements for high-priority enterprise opportunities
Deliver executive presentations, technical briefings and architecture discussions tailored to CISOs, CIOs, security architects, infrastructure teams and other stakeholders
Partner with field Sales Engineers to strengthen technical strategy, improve execution and elevate engagement quality across a portfolio of enterprise accounts
Collaborate with Product Management to share market intelligence, competitive insight and customer requirements that inform product direction
Partner with Sales leadership to prioritize strategic opportunities and align solution architecture resources to the highest-impact engagements
Represent Keeper at executive briefings, marquee customer engagements, webinars, conferences and other market-facing events
Maintain strong awareness of the privileged access management and broader identity security landscape, including legacy platforms, emerging competitors and adjacent identity technologies
Travel required based on customer and business needs
Requirements
10+ years of experience in enterprise technology, including at least 5 years in a senior customer-facing pre-sales, solutions architecture or technical advisory role
Deep domain expertise in identity security, identity and access management or privileged access management
Strong working knowledge of enterprise PAM concepts, including least privilege, zero standing privilege, secrets management, session management and privileged account governance
Demonstrated experience leading complex technical engagements with enterprise customers, including discovery, architecture design, executive presentations and competitive positioning
Proven ability to operate across a broad portfolio of strategic accounts while applying strong judgment about where direct engagement is most valuable
Excellent communication and presentation skills, with the ability to translate complex security architecture into both business and technical value
Familiarity with the broader enterprise identity ecosystem, including Active Directory, Microsoft Entra ID, Okta, cloud IAM, SIEM integrations, IGA platforms and DevOps or CI/CD environments
Ability to work cross-functionally with Sales Engineering, Product, Sales Leadership and other internal stakeholders in a fast-paced enterprise environment
Preferred Qualifications
Prior experience at a leading identity security, PAM or IAM vendor in a pre-sales or solutions architecture role
Experience supporting enterprise customers in regulated industries such as federal, financial services, energy or healthcare
Familiarity with compliance and regulatory frameworks such as FedRAMP, NIST, SOC 2, PCI-DSS or NERC CIP
Experience presenting to executive and security leadership at Fortune 500 or Global 2000 organizations
Background in competitive displacement strategies within the identity security or privileged access market
Relevant certifications such as CISSP, CCSP, AWS Certified Solutions Architect or Azure Solutions Architect Expert
Benefits
Medical, Dental & Vision (inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401K (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt
Keeper Candidate Privacy Notice
This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).
1. Data We Collect
Information You provide:
Contact details, CV/resume, cover letter
Employment history, qualifications, work eligibility
Application responses and uploaded documents
Information We generate:
Interview notes, assessments, communications
Scheduling information
Information From Others:
Recruiter/referral information who submit your profile
References (with your consent, before final offer)
Public professional profiles
Background verification (post offer)
Voluntary Diversity and Equal Opportunity Information
We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements
2. How We Use Your Data
Assess your application and suitability
Manage interviews and recruitment workflow
Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)
Comply with employment law obligations
3. Legal Basis
Legitimate Interests (recruitment management, security and integrity of the hiring process)
Contracting steps (for progressed candidates)
Legal and regulatory compliance obligations; explicit consent where required
4. Who We Share Information With
Internal:
HR, hiring managers, interviewers*, IT support for system administration
*Note - diversity and equal opportunity data is not shared with hiring managers.
Third Parties:
Service providers who assist with:
Applicant tracking, recruitment systems and assessment providers
Background verification vendors (post offer)
Recruitment agencies (where applicable)
Tools to support communication, collaboration and to securely store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
5. International Transfers
Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.
6. Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
7. Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions:
You opt into our talent database for further retention by providing consent (extended retention)
You're hired (transfers to employee records)
8. Your Rights
You have the following rights and can contact us at the email below to exercise them:
Access, correct, or delete your data, subject to applicable law and retention requirements
Object to or restrict processing
Withdraw consent (where applicable)
Request data portability
Lodge a complaint with your data protection authority
If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.
When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.
9. Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
10. Contact - Candidates can send privacy questions to:
Originally posted on Himalayas
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Job description About the Role: At TELUS Digital , we are building the "Shield of Trust" for global digital identity. You will join an elite freelance pool focused on training AI to detect fraud, verify identity documents, and maintain the highest standards of KYC (Know Your Customer) . Your role is to teach AI models how to distinguish between a real human and a high-fidelity synthetic mask, and between a genuine passport and a masterfully forged document. At TELUS, you ensure that digital access remains secure for everyone. Key Responsibilities:
Document Authenticity Auditing: Review and annotate high-resolution scans of international IDs (Passports, Visas, Licenses) to identify microscopic markers of forgery or tampering.
Liveness & Biometric Verification: Evaluate "Liveness" test data to help AI detect deepfakes, playback attacks, or 3D masks during the face-matching process.
OCR & PII Data Validation: Audit the accuracy of AI-extracted data (Name, DOB, Expiry) from documents, ensuring the model handles different scripts and localized document formats.
Adversarial Fraud Testing: Act as a "Fraudster" by testing the system with edge-case documents and synthetic identities to find vulnerabilities in the KYC model.
Qualification path Mandatory Qualifications:
Education: Minimum of a Bachelor’s Degree in Cybersecurity, Criminal Justice, Forensic Science, or Information Security.
Native Language: Native-level proficiency in your primary language is mandatory to identify localized document types and regional identity nuances.
English Proficiency: Minimum B1 (Intermediate) level English.
Analytical Eye: Exceptional attention to detail, specifically in identifying pixel-level anomalies in digital images.
Assessment: In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification. Why Join the TELUS Digital AI Community:
Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.
Apply Here: Independent Contractor Relationship This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital. Contact email Originally posted on Himalayas
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Job description About the Role: At TELUS Digital , we are training AI to handle the world's most sensitive data: finances. As a Financial Accuracy Specialist , your job is to make sure AI models understand the "rules of money." You will review AI-generated financial statements, tax advice, and expense reports to ensure they are mathematically perfect and follow local accounting laws. You are the "Human Auditor" who makes sure the AI doesn't make costly financial mistakes. What You’ll Do :
Statement Auditing: Review AI-generated balance sheets and P&L statements to ensure the math balances perfectly.
Tax Logic Verification: Check if the AI is applying the correct tax rates and rules for your specific country (e.g., VAT in Europe or Zakat in the Middle East).
Expense Categorization: Train the AI to correctly "tag" expenses (e.g., distinguishing between a "Travel Expense" and a "Capital Asset").
Fraud Detection Training: Help the AI recognize "weird" patterns that might look like double-billing or suspicious financial activity.
Qualification path Mandatory Qualifications: Education: A minimum of a Bachelor’s Degree in Accounting, Finance, or Economics. Native Language: Native-level proficiency in your primary language. This is mandatory because tax laws and accounting terms change completely from one country to another. English Proficiency: B1 (Intermediate) English to follow the project instructions. Precision Mindset: You are someone who finds joy in a spreadsheet that balances to the penny. Assessment: In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification. Why Join the TELUS Digital AI Community:
Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.
Apply Here: Independent Contractor Relationship This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital. Contact email Originally posted on Himalayas
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Langfuse (now part of ClickHouse) | Product Engineers & Backend Engineers | Berlin / EU-remote, ~1 week onsite every 2 months (travel covered) | Full-time | €70–130k + ClickHouse equity Hi, I'm Max, CTO and co-founder. Langfuse is the open-source LLM engineering platform — tracing/observability, evals, and prompt management — used by tens of thousands of teams to ship, debug, and improve their LLM and agent apps. Earlier this year, Langfuse joined ClickHouse ($400M Series D led by Dragoneer, $15B valuation). That gives us the best of both worlds: startup-speed, ownership, and roadmap control, backed by the scale, resources, and equity upside of a category-defining infra company. The full story:
Why we joined: https://langfuse.com/blog/joining-clickhouse
ClickHouse's take: https://clickhouse.com/blog/clickhouse-acquires-langfuse-ope... Right now we're focused on helping customers segment their traces, surface insights from them, and ship changes to their agents faster — observability at serious scale, plus the product surface engineers actually live in day to day. See what we're building: langfuse.com Our handbook is the best way to understand how we operate: https://langfuse.com/handbook Check out our open roles and apply to the one you think fits you best and we'll take it from there: https://langfuse.com/careers . Happy to answer questions in the thread.
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About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Evaluation Engineer, you'll be an integral part of our AI Evaluation team, owning evaluation coverage for Dialpad's Agentic AI systems alongside our existing evaluation lead. A key focus will be co-owning LLM-judge metric development and calibration, scenario and benchmark dataset curation, and structured error analysis to support release-readiness decisions for our agentic voice and chat solutions. This position reports to the manager of the AI Evaluation team and has the opportunity to be based in our Vancouver office. What You’ll Do You will design and execute validation strategies for agentic, NLP, and speech workflows across staging, beta, and release candidates. You will build, run, and improve regression evaluations, A/B comparisons, and red teaming analyses to determine whether product and model changes are ready to move forward. You will co-own LLM-judge metric development, calibration, and prompt refinement across evaluation dimensions. You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. You will develop and maintain QA tooling, notebooks, and pipeline components that make recurring evaluations scalable and reusable across teams. You will investigate bugs, triage issues, and decide whether problems should become engineering escalations, test set additions, or follow-up analysis. You will collaborate with cross-functional teams, including applied science, engineering, and Product QA. Skills You’ll Bring Bachelor's or Master's degree in Computer Science, Software Engineering, Computational Linguistics, or a related field. 3+ years of experience in QA, test engineering, model evaluation, or applied ML quality for AI-driven products. Experience designing structured test strategies across manual and automated workflows. Comfort working with complex AI systems such as speech, NLP, LLM, or agentic products. Experience working with evaluation datasets, gold sets, adversarial test sets, or benchmark creation for AI systems. Strong analytical skills for investigating failures, comparing outputs, and identifying actionable quality patterns. Experience collaborating with cross-functional technical teams and communicating clearly through documentation and reporting. For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits. British Columbia, Canada Salary Range $115,500—$132,750 CAD Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee’s impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Dialpad by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Evaluation Engineer, you'll be an integral part of our AI Evaluation team, owning evaluation coverage for Dialpad's Agentic AI systems alongside our existing evaluation lead. A key focus will be co-owning LLM-judge metric development and calibration, scenario and benchmark dataset curation, and structured error analysis to support release-readiness decisions for our agentic voice and chat solutions. This position reports to the manager of the AI Evaluation team and has the opportunity to be based in our Vancouver office. What You’ll Do You will design and execute validation strategies for agentic, NLP, and speech workflows across staging, beta, and release candidates. You will build, run, and improve regression evaluations, A/B comparisons, and red teaming analyses to determine whether product and model changes are ready to move forward. You will co-own LLM-judge metric development, calibration, and prompt refinement across evaluation dimensions. You will create, configure, and monitor data annotation jobs to keep evaluation and calibration datasets fed on schedule. You will develop and maintain QA tooling, notebooks, and pipeline components that make recurring evaluations scalable and reusable across teams. You will investigate bugs, triage issues, and decide whether problems should become engineering escalations, test set additions, or follow-up analysis. You will collaborate with cross-functional teams, including applied science, engineering, and Product QA. Skills You’ll Bring Bachelor's or Master's degree in Computer Science, Software Engineering, Computational Linguistics, or a related field. 3+ years of experience in QA, test engineering, model evaluation, or applied ML quality for AI-driven products. Experience designing structured test strategies across manual and automated workflows. Comfort working with complex AI systems such as speech, NLP, LLM, or agentic products. Experience working with evaluation datasets, gold sets, adversarial test sets, or benchmark creation for AI systems. Strong analytical skills for investigating failures, comparing outputs, and identifying actionable quality patterns. Experience collaborating with cross-functional technical teams and communicating clearly through documentation and reporting. For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits. Ontario Salary Range $96,000—$116,250 CAD Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee’s impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Dialpad by 2x See who you know
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We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate , reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment. Contributions Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics. Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time. Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs. Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations. Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements. Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports. Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety. Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments. Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability. Document evaluation processes, criteria, and results for both technical and non-technical audiences. You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Ability to hold a position of public trust with the U.S. government. Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field. 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred). Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain. Proficiency in AI evaluation frameworks such as Ragas or DeepEval. Proficiency in AI traceability/observability tools based on the OpenTelemetry protocol. Experience analyzing structured and unstructured data, including text, documents, and embeddings. Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures. Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability). Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements. Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders. Experience working in agile or iterative development environments is a plus. Familiarity with OWASP LLM Top 10 Risks Relevant certifications (helpful but not required): NIST AI RMF (AISIC), INFORMS CAP, AWS/Azure/Google ML Certifications. About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Steampunk, Inc. by 2x See who you know
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Position Title: Responsible AI / Eval Specialist Position Type: Regular - Full-Time Requisition ID: 43986 In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy. About The Role. The Responsible-AI / Eval Specialist is responsible for designing, implementing, and operating evaluation frameworks that determine whether AI use cases are ready to progress through governance stage-gates and into production. This role serves as the hands-on execution arm of McCain’s Responsible AI standards, working closely with AI Platform & Engineering, Knowledge Engineering, Forward Deployment Engineers, and Security teams to evaluate accuracy, reliability, fairness, robustness, and overall quality across the McCain AI ecosystem. The role supports AI solutions built on Azure, Anthropic foundation models, Distyl technologies, Databricks, SAP, Salesforce, and other enterprise platforms. What You’ll Be Doing. Design and execute evaluation strategies for AI use cases, including assessments of accuracy, reliability, hallucination rates, fairness, and robustness. Build, maintain, and operate evaluation harnesses, benchmark suites, and golden datasets across the McCain AI technology stack. Conduct stage-gate evaluations and provide clear, actionable findings to support governance decisions. Run bias and fairness testing across protected attributes and business-relevant user groups. Identify, quantify, and communicate fairness concerns while recommending practical remediation approaches. Lead red-team and adversarial testing exercises to identify vulnerabilities, failure modes, prompt injection risks, and jailbreak scenarios. Partner with Enterprise Security teams to strengthen AI resilience through broader adversarial testing initiatives. Support risk classification activities by providing evaluation evidence and recommendations that inform governance decisions. Collaborate with AI Platform & Engineering and Knowledge Engineering teams to embed evaluation capabilities into AI development workflows. Maintain model cards, evaluation reports, decision logs, and other governance documentation while contributing to Responsible AI standards and playbooks. Coach AI Engineers and Forward Deployment Engineers on evaluation best practices and quality disciplines. Share evaluation insights, frameworks, and reusable patterns across the AI organization. What You’ll Need To Be Successful. Bachelor’s degree in Computer Science, Statistics, Engineering, or a related field; advanced degree preferred. 10+ years of experience in AI/ML evaluation, model validation, model risk management, or a related discipline. Hands-on experience with AI/ML evaluation methodologies and performance metrics, including accuracy, calibration, fairness, and robustness. Experience evaluating Large Language Models (LLMs) and AI agents using frameworks such as HELM, Eleuther LM Evaluation Harness, or equivalent platforms. Strong Python programming skills and experience with common machine learning evaluation and testing tools. Experience working with Databricks or comparable enterprise data platforms. Familiarity with Responsible AI and AI governance frameworks, including NIST AI RMF, EU AI Act, ISO/IEC 42001, or similar standards. Strong analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical findings effectively to both technical and non-technical stakeholders. Experience conducting bias testing, red-team exercises, adversarial testing, and AI risk assessments is highly desirable. About The Team. The Responsible-AI / Eval Specialist is part of McCain’s AI governance and delivery ecosystem and works closely with the Use Case Governance & Operations Lead. The role partners across AI Platform & Engineering, Knowledge Engineering, Forward Deployment Engineering, Enterprise Security, and business stakeholders to ensure AI use cases meet quality, risk, and Responsible AI standards before deployment. This position plays a critical role in advancing safe, reliable, and trustworthy AI solutions across the organization. About McCain. Click Here to learn more about McCain and how we provide opportunities to make an impact that matters. Leadership principles. At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results. AI & Digital Capabilities. At McCain, AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful, responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture. The McCain Experience. We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you’ll find opportunities to learn, grow, and thrive. Join us and experience why we’re better together. Our purpose is grounded in building meaningful relationships. We’re big believers in the power of working together in person—it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here . Job Family: Information Technology Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Food and Beverage Manufacturing Referrals increase your chances of interviewing at McCain Foods by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Description The Seller AI team within International Seller Services organization is focused on helping sellers with the right set of Gen-AI/LLM powered tools and agentic solutions that can enable them to accelerate business growth on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. The AI Benchmarking Associate supports the evaluation of AI systems by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. The role combines elements of AI auditing, quality assurance, and traditional audit-style documentation and stakeholder communication. By joining us, you will play a pivotal role in shaping the future of selling on Amazon for sellers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, Assist in planning and executing benchmarking exercises for AI models, including defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability Support content accuracy, relevancy, and privacy checks by reviewing datasets, model outputs, and data handling practices, escalating potential regulatory risks. Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information Prepare clear audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations, and contribute to presentations for senior stakeholders Maintain organized audit documentation, evidence, and benchmarking datasets to support internal review You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation by contributing to the development and continuous improvement of AI audit methodologies, checklists, and test frameworks as regulations and best practices evolve We are open to hiring candidates to work out of: Bengaluru, Karnataka, IND About The Team There are millions of small and medium businesses across international stores such as India, LatAm, Europe, Middle East, Japan etc. who sign up as sellers on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. Basic Qualifications Speak, write, and read fluently in Italian Preferred Qualifications Experience using managed ML/AI solutions Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A10456315 Show more Show less Seniority level Not Applicable Employment type Full-time Job function Writing/Editing Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Description The Seller AI team within International Seller Services organization is focused on helping sellers with the right set of Gen-AI/LLM powered tools and agentic solutions that can enable them to accelerate business growth on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. The AI Benchmarking Associate supports the evaluation of AI systems by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. The role combines elements of AI auditing, quality assurance, and traditional audit-style documentation and stakeholder communication. By joining us, you will play a pivotal role in shaping the future of selling on Amazon for sellers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, Assist in planning and executing benchmarking exercises for AI models, including defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability Support content accuracy, relevancy, and privacy checks by reviewing datasets, model outputs, and data handling practices, escalating potential regulatory risks. Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information Prepare clear audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations, and contribute to presentations for senior stakeholders Maintain organized audit documentation, evidence, and benchmarking datasets to support internal review You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation by contributing to the development and continuous improvement of AI audit methodologies, checklists, and test frameworks as regulations and best practices evolve About The Team There are millions of small and medium businesses across international stores such as India, LatAm, Europe, Middle East, Japan etc. who sign up as sellers on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. Basic Qualifications Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) Bachelor's degree or equivalent Preferred Qualifications Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A10517064 Show more Show less Seniority level Not Applicable Employment type Full-time Job function Public Relations and Marketing Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x See who you know
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About The Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative Projects Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You May Be a Good Fit If You Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong Candidates May Have Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong Candidates Need Not Have Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £260,000—£630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a key player in the AI revolution, NVIDIA is pushing the boundaries of what's possible in accelerated computing. We are seeking an exceptionally dedicated LLM Reinforcement Learning Framework Engineer to join our ambitious team. This role is vital in advancing our large language model (LLM) capabilities, particularly in improving reasoning abilities for math, coding, and agentic AI. Join us and contribute to groundbreaking innovations that will craft the future of computing! What You’ll Be Doing Developing and deploying reinforcement learning algorithms for LLM post‑training to improve reasoning and alignment. Integrating RL components into NVIDIA’s LLM training and serving stack with a cross‑functional team of engineers and researchers. Crafting and running experiments, evaluations, and debugging workflows to ensure robustness, scalability, and reliability in production. What We Need To See Strong Python programming skills with production‑quality PyTorch experience in multi‑GPU and distributed training environments. Hands‑on experience with modern LLM frameworks such as NeMo RL, Megatron‑LM, DeepSpeed, vLLM, TensorRT‑LLM, or similar is a big plus. Practical experience with reinforcement learning applied to LLMs or large‑scale sequence models. Familiarity with async and distributed orchestration (e.g., asyncio, torch.distributed, Ray, or equivalent). 3+ years of relevant industry or research experience, and BS/MS (or equivalent) in CS, CE, EE, or a related field. Solid foundations in probability, optimization, statistics, and deep learning. Understanding of GPU architecture and performance optimization is a strong plus. Strong problem‑solving, debugging, and collaboration skills, with a passion for innovation and delivering industry‑leading AI solutions. Join us at NVIDIA and help build the next generation of reasoning‑capable LLMs that make a lasting impact on the world! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2016313 Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering Industries Computer Hardware Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Huawei Canada has an immediate 12-month contract opening for a Research Engineer. About the team: The Centre for Software Excellence Lab conducts pioneering research in software engineering, focusing on next-generation technologies. This team integrates industry best practices with cutting-edge academic research to address lifecycle software engineering challenges, including foundation model applications, software performance engineering, hyper-cluster programming, next-gen mobile OS, and cloud-native computing. This lab uniquely allows researchers to apply innovations directly to products affecting billions of customers while promoting open-source contributions, publications, conference participation, and collaborations to create a broader impact. About the job: Research, prototype, and build core infrastructure, tooling, and platforms to support the full lifecycle of large foundation model development, including data curation, model training, alignment, and evaluation, with a strong focus on scalability, efficiency, and research impact. Design and implement systems and workflows for SFT data curation, deduplication, and synthetic data generation, enabling high-quality training signals for large language models. Develop and optimize distributed training and alignment pipelines, including supervised fine-tuning, reward modelling, and reinforcement learning–based preference optimization (e.g., PPO, GRPO), across heterogeneous hardware platforms. Build and evaluate LLM evaluation and benchmarking frameworks to assess model quality, alignment, robustness, and regression across training iterations. Collaborate closely with systems, hardware, and research teams to integrate novel algorithms and software frameworks into in-house platforms, addressing challenges such as performance modelling, resource allocation, scheduling, fault tolerance, and communication efficiency. Work with leading industry and academic experts worldwide, contribute to impactful research publications, and drive innovation through prototype systems and patentable inventions that advance large-scale model training and serving. The total target annual compensation (based on 2,080 hours per year) ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise. Job requirements About the ideal candidate: Hands-on experience with large language model training and alignment, including supervised fine-tuning (SFT), reward modeling, preference learning, and reinforcement learning–based optimization (e.g., PPO, GRPO), with a solid understanding of stability, scalability, and efficiency trade-offs . Strong background in large-scale distributed training systems, with experience optimizing performance, resource utilization, and reliability across multi-node, multi-device, and heterogeneous hardware environments (e.g., GPU, NPU). Experience building SFT data pipelines, including semantic deduplication and synthetic data generation, with a clear understanding of how data quality and distribution affect model behavior and alignment. Experience designing or applying LLM evaluation and benchmarking frameworks, including automated evaluation, preference-based assessment, and regression analysis to measure model quality, alignment, and robustness. Proficiency in Python, C/C++, or Go, with the ability to translate research ideas into scalable, reproducible prototype systems, and to communicate technical insights effectively across research and engineering teams. Additional Information: Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs. All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Telecommunications Referrals increase your chances of interviewing at Huawei Canada by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Direct message the job poster from Millennium Craig Cohen Craig Cohen Technical Recruiter at Millennium Corporation Millennium is hiring a skilled AI-Focused Red Team Operator to support advanced cyber operations for a government customer in the Washington, DC or Huntsville, AL area. ALL candidates MUST have an active Top Secret clearance to qualify for consideration. The ideal candidate possesses extensive experience in offensive and defensive cybersecurity operations and is passionate about applying artificial intelligence to improve cyber mission effectiveness. Th candidate will get an opportunity to work at the forefront of AI-enabled cyber operations, combining traditional penetration testing, adversary emulation, threat hunting, and detection engineering with emerging AI technologies. Conduct authorized penetration testing, adversary emulation, and Red Team assessments against enterprise, cloud, and AI-enabled environments. Perform Blue Team activities including threat hunting, detection engineering, incident response support, and defensive security assessments. Evaluate AI and machine learning systems for security weaknesses throughout the model lifecycle. Assess Large Language Model (LLM) applications against emerging AI threats and industry frameworks such as the OWASP LLM Top 10 . Identify vulnerabilities involving prompt injection, retrieval-augmented generation (RAG), model manipulation, indirect prompt injection, tool abuse, data poisoning, and model extraction techniques. Develop offensive tradecraft to evaluate AI-enabled systems while ensuring responsible and authorized testing practices. Design and implement defensive controls including guardrails, monitoring, content filtering, evaluation frameworks, and AI-specific security controls. Leverage AI technologies to improve offensive and defensive cyber operations through automation, large-scale reconnaissance, code analysis, detection engineering, report generation, and security analytics. Collaborate with cybersecurity engineers, analysts, and stakeholders to improve organizational resilience against emerging AI-enabled threats. Produce high-quality technical documentation, assessment reports, and executive briefings. AI Engineering & Automation Successful candidates should demonstrate experience building or integrating AI-assisted security workflows, including: Agentic workflows for security operations and incident response Automated alert triage and enrichment Detection tuning and threat hunting using AI AI-assisted report generation and documentation Secure integration of LLMs into cybersecurity workflows Evaluation and testing of security-focused language models Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering Industries Engineering Services and IT Services and IT Consulting Referrals increase your chances of interviewing at Millennium by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Chez EY, nous sommes « All in » pour façonner votre avenir en toute confiance. Ensemble, nous orienterons votre carrière selon vos aspirations. Rejoignez EY et contribuez à construire un monde meilleur. Notre Opportunité : Forte d’un réseau mondial de 13000 experts et de laboratoires technologiques cyber, notre équipe de Conseil en Cybersécurité se consacre à accompagner nos clients dans la sécurisation de leurs activités clés sur l’ensemble des aspects : technologiques, processus, organisation, etc. afin de tirer les bénéfices de la transformation digitale et des nouveaux usages tout en maintenant la confiance dans leurs systèmes d’information. Plus que jamais, la cybercriminalité fait partie de notre quotidien et des risques à maîtriser. Notre offre Cyber a été spécialement conçue pour repenser la cybersécurité des organisations dans toutes ses dimensions : défense en profondeur, sécurité dans le cloud, zero trust, paiements en ligne, environnements industriels connectés. Au sein des équipes françaises, vous rejoindrez une équipe d’experts techniques évoluant au sein d’un environnement dédié et hautement sécurisé, le « LAB CYBER EY » , destiné à l’innovation, le développement et l’amélioration des outils et processus utilisés dans le cadre de nos interventions. Pour faire face aux besoins de nos clients et à notre ambition de croissance, nous recrutons des Auditeurs/Auditrices expérimenté(e)s en Red Team IA F/H pour notre bureau de Paris. Vos Principales Responsabilités : Au sein de nos équipes, vos missions vous amèneront à : Participer à des missions de sécurité offensive avancée (Red Team / Purple Team), incluant des scénarios ciblant des systèmes IA et LLM Concevoir et exécuter des attaques simulées sur des modèles d’IA : Prompt Injection, Jailbreak, Data Poisoning, Model Inversion Abus d’API IA, Shadow AI, risques liés aux agents autonomes Réaliser des audits de sécurité d’architectures IA et Data (Cloud, MLOps, pipelines IA, environnements hybrides) Tester la sécurité des applications intégrant des LLM et services d’IA générative Évaluer les risques liés aux données d’entraînement, aux flux d’inférence et à la gouvernance IA Contribuer à l’industrialisation des outils Red Team IA (scripts, frameworks, automatisation, Infrastructure as Code) Participer à l’amélioration des référentiels méthodologiques EY en matière de sécurité offensive et IA Accompagner et faire monter en compétences les profils juniors Participer à l’animation de la communauté interne de partage de connaissances Assurer une veille continue sur les menaces IA émergentes, les évolutions technologiques et réglementaires (AI Act, NIS2…) Vous aurez également l’opportunité de participer à des formations spécialisées en cyber sécurité ainsi que de suivre des cursus certifiants tout au long de votre parcours chez EY Cyber. Vos Compétences pour Réussir : Expérience de 3 ans minimum en sécurité offensive, Red Team ou pentest avancé Solide compréhension des attaques modernes et des architectures Cloud / applicatives Intérêt marqué ou expérience sur les sujets IA, LLM, MLOps, API IA Maîtrise d’au moins un langage d’automatisation (Python, Bash, PowerShell, Go…) Connaissance des environnements Cloud (AWS, Azure, GCP) et DevSecOps Niveau d’anglais courant (oral et écrit) Diplômé(e) d’une formation supérieure de haut niveau, avec une spécialisation en sécurité de l’information. Ce que nous Recherchons : Des capacités d’analyse et de synthèse afin de pouvoir examiner des informations complexes et les simplifier de manière claire et concise. De la curiosité intellectuelle et de l’adaptabilité vous permettant de vous ajuster rapidement aux nouvelles situations et de suivre l’évolution rapide de votre domaine d’activité. Un esprit d’équipe facilitant une collaboration efficace avec les autres et une émulation bénéfique pour tous. Ce que nous vous Offrons : Le développement de vos compétences et des expériences uniques au sein d’un environnement de travail diversifié et inclusif. Un environnement de travail flexible #Smartworking@EY L’opportunité de découvrir d’autres cultures en travaillant au contact d’équipes connectées à l’échelle mondiale et grâce à nos programmes de mobilité à l’international #Mobility4U. Un package complet : un bonus discrétionnaire annuel, une prime de participation, des RTT, une mutuelle avantageuse, une carte titre-restaurant, le remboursement de votre abonnement de transports en commun à hauteur de 75% ou une aide financière pour l’achat d’un vélo. De nombreux autres avantages : des primes de cooptation, un abonnement sportif Wellpass à tarif préférentiel, l’entrée gratuite aux musées du Louvre et Eugène-Delacroix, un accès privilégié à l’Opéra de Paris… Etes-vous prêt(e) à façonner votre avenir avec confiance ? Postulez dès aujourd'hui. Processus de recrutement : Le processus de recrutement est généralement composé de 4 entretiens (RH, opérationnels, Partner) et peut également comprendre un test technique. Les entretiens, menés à distance et en présentiel, permettent d’échanger sur votre parcours, d’évaluer vos compétences et de répondre à vos questions. Dans le cadre de sa politique Inclusion, EY étudie, à compétences égales, toutes candidatures dont celles de personnes en situation de handicap. EY s'engage à créer de la valeur pour ses clients, ses collaborateurs, la société et la planète, tout en renforçant la confiance dans les marchés financiers. Grâce à la data, à l'intelligence artificielle et aux technologies avancées, les équipes aident les clients à façonner l'avenir avec confiance et à développer des solutions pour les enjeux d’aujourd'hui et de demain. Les équipes EY interviennent dans l’audit, le conseil, la fiscalité, la stratégie et les transactions. Fortes d'une expertise sectorielle, d'un réseau multidisciplinaire connecté à l'échelle mondiale et de partenaires d'écosystèmes diversifiés, les équipes EY interviennent dans plus de 150 pays et territoires. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Accounting/Auditing and Finance Industries Professional Services Referrals increase your chances of interviewing at EY by 2x See who you know
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About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About The Role We are seeking an AI Red Teamer with deep cybersecurity expertise to help evaluate the security and resilience of advanced AI systems and applications. This role is ideal for someone who enjoys offensive security, creative problem-solving, and thinking like an adversary. In This Role, You Will Design and execute red team assessments against AI systems, applications, and supporting infrastructure Translate ambiguous objectives into structured testing plans and attack strategies Develop adversarial testing methodologies to evaluate system security, robustness, and resilience Craft prompts, attack chains, and adversarial inputs to uncover unintended or unsafe system behavior Identify vulnerabilities, security risks, and failure modes through testing and analysis Analyze system outputs and behaviors to assess security and safety risks Document findings, communicate risk, and provide actionable recommendations Collaborate with engineers, researchers, and subject-matter experts to improve system security Continuously refine testing methodologies based on emerging threats and attacker techniques Required Qualifications 2–5 years of relevant professional experience, with a track record of taking ownership of complex projects and driving them to completion Degree in Computer Science, Engineering, Cyber Security, or a related field (or equivalent practical experience) Strong understanding of cybersecurity principles, attack methodologies, and common vulnerability classes Experience with security tools such as Splunk, Wireshark, Metasploit, Burp Suite, Nmap, or similar platforms Comfortable working in Linux and terminal-based environments Experience scripting or automating workflows using Python, Bash, or similar languages Familiarity with SIEM platforms and security monitoring concepts Ability to think creatively from an adversarial perspective and investigate complex technical problems Excellent analytical and problem-solving skills Excellent written and verbal communication skills Preferred Qualifications CompTIA Security+ certification and/or Google Cybersecurity Certificate Experience testing AI, machine learning, or large language model applications Familiarity with prompt injection, jailbreak techniques, or other AI attack methodologies Offensive security certifications such as PNPT, OSCP, CySA+, GCIH, or GPEN Experience supporting government, defense, intelligence, or critical infrastructure environments Compensation & Benefits Salary Range: $100K–$120K, depending on experience and location Bonus: Performance-based annual bonus Professional Development: Support for conferences, continuing education, or leadership training Work Environment: Fully remote, U.S.-based Health Benefits: Comprehensive health, dental, and vision coverage Time Off: Generous PTO and paid holiday schedule Retirement: 401(k) plan Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Research Services Referrals increase your chances of interviewing at 10a Labs by 2x See who you know
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Direct message the job poster from DHL Garima Saraswat Garima Saraswat Senior Talent Partner @ DHL | Hiring AI, Security & Hard-to-Find Tech Talent in Logistics DHL Group - we are the world's leading logistics provider. Our company connects people and markets, enabling global trade. We pursue the strategic goals of being the first choice worldwide for customers, employees, and investors. Through responsible entrepreneurial actions and commitment to society and the environment, we make a positive contribution to the world. The Group CISO Architecture team provides a group-wide architecture framework for cybersecurity which includes technical and organizational requirements as well as guidelines for cybersecurity for IT and OT. They are seeking a highly skilled and visionary Senior AI Security Architect (m/f/d) to lead and advance our AI security strategy at the heart of DHL Group. This pivotal role requires a strategic thinker who can prepare and negotiate decisions for the highest technical committees, ensuring that our security framework aligns with the dynamic needs of our organization and the ever-evolving threat landscape. Your responsibilities: Be a subject matter expert (SME) on Offensive AI Security – provide guidance and steer for senior Stakeholders, non-technical as well as technical experts. AI Red Team Excercises - conduct offensive technical cybersecurity engagements of varied nature, plan and execute long running AI Red teaming testing operations (simulated cyber attacks) against AI systems, AI models and their operating environment to uncover vulnerabilities, evaluate the security posture of the AI system, its models and infrastructure, identifying vulnerabilities and misconfigurations. Perform AI Security Product Evaluation – perform offensive security testing and evaluation of various AI security solutions / products. Develop and uplift AI red teaming tools - as well as new TTPs improving testing coverage and effectiveness (e.g. PyRIT, Garak, HexStrike, Giskard, DeepTeam, etc.) Perform comprehensive risk assessments - and create reports detailing the findings characteristics (impact, complexity, exploitability, etc.), prioritization and recommendations. Record Keeping - maintain detailed documentation of all red team activities, findings, recommendations and present reports to senior management and key stakeholders. Stay up to date with the latest trends and development in AI security and cyber-threats. Have excellent communication skills – ensure continuous stakeholder management. Your profile: At least 5 years of proven experience in offensive security engagements (red teaming, pen testing, vulnerability research, exploit development) preferably conducted multiple TIBER-EU / CBEST or similar structured exercises. At least 3 years of proven experience in Web exploitation within red team activities and a year of proven experience in AI red teaming. Deep technical understanding of AI threats and TTPs (MITRE ATLAS, OWASP TOP 10 LLM, etc.) AI technologies, AI frameworks, AI technology stacks and tools. Excellent coding and scripting skills and ability to develop robust custom tools and automation to support offensive activities. Proven experience in AI vulnerabilities analysis Excellent communication and presentational skills Excellent English language skills. Nice to Have: Proven records of vulnerability disclosure (CVEs) or publication in recognized conferences / papers (e.g. Blackhat, DEFCON, C3, etc.) Advanced offensive security certifications (OSCP+, OSEE, OSCE3, SEC542, SEC522) are highly desirable. AI Red Team certifications (AIRTP+, CAIRTP, CAIPT-RT,C-AI/MLPen) are highly desirable. Proven contributions to open source / commercial offensive tools development preferably AI security tools. BsC/MsC university degree in computer science, information technology. Your benefits: Flexibility: We offer up to 3 days/week of flexible remote work, along with flexible working hours without core hours. The arrangements may vary depending on the task and role. Well-Being: Fun, team spirit, and health are crucial factors. Therefore, within the company, we offer a wide range of health and preventive care services, an occupational physician and the FC Deutsche Post. Here, employees engage in sports activities together or exchange ideas. Family-friendly: The compatibility of family and work has many facets, such as childcare, care for family members, etc. We support this, for example, through kindergarten places as well as the Betreuungs- und Erholungswerk (support and recreation program). Mobility: We move not only letters or parcels but also our employees through offerings such as company bicycles, job tickets and possibly company cars. Location: The Post Campus brings together people from more than 60 countries. The Post Tower is easily accessible by car, public transportation and bicycle. To facilitate the workday, the campus offers amenities such as parking spaces, post office, café, canteen and more. Onboarding: Individual onboarding, training on the job, networking, a dedicated certified program, etc., lay the foundation for a successful start at DHL Group. Development opportunities: We offer numerous development opportunities through a comprehensive training landscape, junior talent programs, coaching etc. Social commitment: Through global corporate programs, we improve the educational and career opportunities for young people and engage in disaster management at airports. We also contribute to local environmental protection and aid projects initiated by employees on a voluntary basis. What else? Company pension plan, social counseling, inclusion consulting, cleaning service, insurance cooperation, corporate discounts, events, sabbaticals and much more! About DHL Group Without the commitment, creativity and know-how of our employees worldwide, the success of DHL Group would not be possible. Get to know us and become part of our team. Apply now with your complete documents, stating your salary expectations, using the application button. We look forward to receiving your application*. At DHL Group, applications from all individuals are welcome, regardless of age, gender, origin, religion or physical attributes. #Scout Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at DHL by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About The Role We are seeking an AI Red Teamer with deep cybersecurity expertise to help evaluate the security and resilience of advanced AI systems and applications. This role is ideal for someone who enjoys offensive security, creative problem-solving, and thinking like an adversary. In This Role, You Will Design and execute red team assessments against AI systems, applications, and supporting infrastructure Translate ambiguous objectives into structured testing plans and attack strategies Develop adversarial testing methodologies to evaluate system security, robustness, and resilience Craft prompts, attack chains, and adversarial inputs to uncover unintended or unsafe system behavior Identify vulnerabilities, security risks, and failure modes through testing and analysis Analyze system outputs and behaviors to assess security and safety risks Document findings, communicate risk, and provide actionable recommendations Collaborate with engineers, researchers, and subject-matter experts to improve system security Continuously refine testing methodologies based on emerging threats and attacker techniques Required Qualifications 2–5 years of relevant professional experience, with a track record of taking ownership of complex projects and driving them to completion Degree in Computer Science, Engineering, Cyber Security, or a related field (or equivalent practical experience) Strong understanding of cybersecurity principles, attack methodologies, and common vulnerability classes Experience with security tools such as Splunk, Wireshark, Metasploit, Burp Suite, Nmap, or similar platforms Comfortable working in Linux and terminal-based environments Experience scripting or automating workflows using Python, Bash, or similar languages Familiarity with SIEM platforms and security monitoring concepts Ability to think creatively from an adversarial perspective and investigate complex technical problems Excellent analytical and problem-solving skills Excellent written and verbal communication skills Preferred Qualifications CompTIA Security+ certification and/or Google Cybersecurity Certificate Experience testing AI, machine learning, or large language model applications Familiarity with prompt injection, jailbreak techniques, or other AI attack methodologies Offensive security certifications such as PNPT, OSCP, CySA+, GCIH, or GPEN Experience supporting government, defense, intelligence, or critical infrastructure environments Compensation & Benefits Salary Range: $100K–$120K, depending on experience and location Bonus: Performance-based annual bonus Professional Development: Support for conferences, continuing education, or leadership training Work Environment: Fully remote, U.S.-based Health Benefits: Comprehensive health, dental, and vision coverage Time Off: Generous PTO and paid holiday schedule Retirement: 401(k) plan Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Research Services Referrals increase your chances of interviewing at 10a Labs by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Job Description Description for Internal Candidates Description Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Security Engineer at JPMorgan Chase within the Cybersecurity & Technology Controls for AI/ML, you are an integral part of team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions. Job Responsibilities Develop and enhance security strategies, red teaming programs, and solution designs, while troubleshooting technical issues and creating scalable solutions. Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience. Reduce AI and LLM security vulnerabilities by adhering to industry standards and emerging AI safety research, evolving policies, testing protocols, and controls. Collaborate with stakeholders across product, data science, cyber, legal, and risk to understand AI use cases and recommend modifications during periods of heightened vulnerability or regulatory change. Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems to identify vulnerabilities such as prompt injection, jailbreaking, and data poisoning. Provide guidance on secure design, logging, monitoring, and compensating controls for AI applications and platforms. Define and implement AI red teaming methodologies, playbooks, and success metrics, establishing mechanisms for continuous testing and safe rollout of new AI models and features. Work with platform and cloud security teams to ensure secure infrastructure configuration and alignment with enterprise security architecture. Engage with external researchers, vendors, and standards bodies to track emerging AI threats and bring best practices into the organization. Foster a team culture of diversity, opportunity, inclusion, and respect. Collaborate within a cross-functional team to develop relationships, influence senior stakeholders, and drive alignment on AI risk tolerance and mitigation priorities. Required Qualifications, Capabilities, And Skills Formal training or certification in Public Cloud environment concepts and advanced hands-on experience with cloud-native AI services (e.g., Bedrock). Experience with threat modeling, discovery, vulnerability, and penetration testing (e.g., MITRE ATLAS, OWASP Top 10 for LLMs) and foundational cybersecurity concepts such as IAM, Authentication, OIDC, SAML. Practical experience with Infrastructure as Code (IaC) solutions like Terraform and CloudFormation. Proficiency in Python scripting. Strong understanding of AI/ML concepts and trends, with knowledge of AI red teaming foundational concepts to design and implement exercises for complex AI architectures. Ability to conceptualize, design, validate, and communicate creative technical solutions to enterprise-level security problems, including building internal tools, dashboards, and automation for red teaming activities. Preferred Qualifications, Capabilities, And Skills Expertise in planning, designing, and implementing AI red teaming exercises and enterprise-level security solutions for generative AI, LLMs, and ML systems. Experience with specialized AI security/red teaming tools and frameworks (e.g., PyRIT, Garak, custom LLM evaluation harnesses) and contributions to AI security or open-source security projects. #CTC About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Financial Services Referrals increase your chances of interviewing at JPMorganChase by 2x See who you know
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Job Title: Travel Research Associate Job Location: Remote, Nevada, USA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards Job Description Join us as a Traveling Research Associate II - And utilize your expertise to support clinic operations, manage patient care workflows, assist with administrative tasks, ensure regulatory compliance, and enhance the efficiency and quality of clinical services. At ThermoFisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future. What You’ll Do:
Join a virtual site operations SWAT team who is expected to travel 65 to 70% to different sites in the state and neighboring states.
May perform technical procedures running patient clinics including vital signs, height, weight, Electrocardiogram etc. Fully inform patients about the tests to be conducted and guides patients in the requirements of the trial. • May perform Phlebotomy tests.
Perform non-technical procedures, including urine collection, subject walks and safety monitoring. • Under the general supervision of a licensed physician, may conduct the education, evaluation, treatment and follow-up of sleep disorders for clinic patients by following sleep laboratory operating procedures, applying electrodes and sensors to ensure the collection of appropriate data of the sleep testing process. • Prepare and calibrate equipment for testing to ensure proper functioning. • Interact regularly with patients during study visits in order to perform study related procedures. • Undertake screening tests in accordance with protocol requirements. • Assist in the lab, sample processing and/or liaise with laboratories. • Manage and/or complete ordering of clinical supplies. • May assist with or oversee the maintenance of accurate freezer logs, specimen labelling and other documentation. • May take consent if permitted according to country regulations. • Report Quality Incidents and participate in the investigation and resolution. • Provide administrative support as needed. • Ensure adherence to COP’s, SOP’s, GCP and local regulations. • Provide training to new staff. • Note: Some tasks listed above only to be conducted as per country regulations and with relevant valid qualifications/ certification or supervision. Education and Experience: • Bachelor's degree or equivalent and relevant formal academic / vocational qualification • Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years). In some cases, an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role. Knowledge, Skills and Abilities: • Good medical terminology and ability to perform conducting of vital signs • Strong understanding of Good Clinical Practices (GCP), with ability to learn and maintain a good working knowledge of FDA regulations and company/client SOPs and WPDs • Strong organizational skills and flexibility to manage workload and meet changing timelines, handling multiple tasks efficiently and effectively • Thorough attention to detail to ensure accuracy and efficiency in data entry • Strong interpersonal/customer service skills, positive attitude and good oral and written communication • Capable of working independently and with new site staff • Strong English language and grammar skills • Strong computer skills, including proficiency in MS Office (Word, Excel, and PowerPoint) and basic understanding of clinical trial database systems • Strong analytical and data management skills to effectively analyze data/systems to ensure accuracy and efficiency Working Conditions and Environment: • Work is performed in an office environment with exposure to electrical office equipment. • Occasional drives to site locations with occasional travel both domestic and international. Physical Requirements: • Frequently stationary for 6-8 hours per day. • Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists. • Frequent mobility required. • Occasional crouching, stooping, bending and twisting of upper body and neck. • Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop computer with a maximum lift of 15-20 lbs. • Ability to access and use a variety of computer software developed both in-house and off-the-shelf. • Ability to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences. • Frequently interacts with others to obtain or relate information to diverse groups. • Works independently with little guidance or reliance on oral or written instructions and plans work schedules to meet goals. Requires multiple periods of intense concentration. • Performs a wide range of variable tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence. Ability to perform under stress. Ability to multi-task. • Regular and consistent attendance. Why Join Us? When you join ThermoFisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You’ll work in an environment where collaboration and development are part of the everyday experience – and where your contributions truly make a difference. Apply today to help us deliver tomorrow’s breakthrough.
This job is curated by Lifelancer . Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. Please apply via Lifelancer platform to get connected to the application page and to find similar roles. Originally posted on Himalayas
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Checkly | Senior Sales Engineer, Sales Engineer | Remote (Europe / US Eastern Time zone) | Full-time | https://checklyhq.com Checkly is the active reliability layer for developers and agents — we unify testing, synthetic monitoring, and observability into a single AI-native workflow, so engineering teams (and the agents shipping alongside them) can catch issues before customers do. We're hiring two roles on our Sales team to help customers get the most out of Checkly — supporting technical evaluations, answering implementation questions, and working directly with Product and Engineering on what we learn from customers. Senior Sales Engineer (remote, Europe, UTC+1 to UTC+2) — https://jobs.ashbyhq.com/checkly/39dceb59-01f6-43c9-9629-105... Sales Engineer (remote, ET +/-1, e.g. US East Coast, Argentina) — https://jobs.ashbyhq.com/checkly/639d6329-ae5e-4fef-8641-d07... Both roles want someone with a technical background (engineering, technical consultancy, professional services, or dev rel), comfortable reading/writing/debugging code (JS/Node.js preferred), who genuinely enjoys talking to customers and running demos. We use AI tools like Claude Code and Codex daily to accelerate customer-facing work. Transparent, published salary bands, stock options, and an annual company on-site. Our hiring playbook and employee handbook are open-source if you want to see how we work before applying: https://www.checklyhq.com/careers/
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Headquarters: Remote US Company Description At Amwell, we’re transforming healthcare for all—powered by technology and inspired by people. Here, your ideas don’t just matter—they drive real change, improving lives on a global scale. We marry technology and innovation with clinical excellence to provide trusted solutions that solve the healthcare industry’s biggest pain points and are on a mission to enable greater access to more convenient, affordable, and effective care. We do this through our technology-enabled care platform that is designed to help our clients achieve their digital care ambitions – today and in the future. We offer programs spanning the full care continuum , including urgent, acute and specialty care, behavioral health, and services for the treatment of chronic conditions such as heart and cardiometabolic diseases. Programs are powered by Amwell as well as our growing partner network. For almost two decades, Amwell has proudly served some of the largest and most sophisticated healthcare organizations in the U.S. and worldwide. Our team is passionate about technology’s role in transforming care delivery and making it more equitable, accessible, efficient, cost-effective and navigable for all. Brief Overview The Manager of Government Compliance & Authorization will lead the strategy, implementation, and maintenance of Amwell’s federal and state authorization programs. While a primary focus remains achieving and sustaining FedRAMP High authorization, this leader will also architect the internal systems necessary to align with CMMC (Level 2/3), CMS MARS-E, and StateRAMP requirements. The Manager will mature Amwell’s government compliance program, oversee the authorization process, lead efforts to define resources and hire staff to support the program, manage continuous monitoring activities, and serve as the primary liaison with federal stakeholders and third-party assessment organizations (3PAOs). The ideal candidate will have deep expertise in FedRAMP High requirements, strong project management skills, and the ability to work cross-functionally to implement and maintain complex compliance frameworks. Core Responsibilities · Lead the end-to-end authorization process for FedRAMP High, while concurrently driving alignment with CMMC Level 2/3 for DoD contracts and MARS-E 2.2 for CMS/Medicaid engagements · Manage ongoing FedRAMP continuous monitoring requirements, including monthly deliverables, vulnerability management, and incident reporting to federal agencies · Collaborate with engineering, security, and operations teams to develop a "comply once, satisfy many" strategy by mapping NIST SP 800-53 Rev 5 controls to CMMC (NIST SP 800-171) and MARS-E requirements to minimize redundant engineering efforts · Own risk management of services provided to federal agencies, ensuring compliance with High-impact baseline · Coordinate with 3PAOs to manage security assessment and authorization (SA&A) activities, including annual assessments and significant change requests · Develop and maintain FedRAMP authorization packages, including System Security Plans (SSP), Plans of Action and Milestones (POA&M), and Continuous Monitoring deliverables · Serve as primary point of contact for federal agency customers regarding FedRAMP compliance questions and authorization boundary matters · Monitor and interpret FedRAMP policy updates and guidance from the FedRAMP PMO, implementing necessary changes to maintain compliance · Build and lead a team of compliance analysts and security specialists focused on federal authorization requirements · Create and deliver training programs to ensure organizational awareness of FedRAMP requirements and responsibilities · Manage relationships with federal authorizing officials, cloud service providers, and other stakeholders in the authorization process Qualifications · 7+ years of experience in information security, compliance, or risk management with at least 3 years specifically working with FedRAMP authorizations · Demonstrated experience successfully achieving FedRAMP High authorization for a cloud service offering (CSO) · Deep knowledge of NIST SP 800-53 Rev 5 security controls, FISMA, FedRAMP baselines, and federal security authorization processes · Experience managing continuous monitoring activities and maintaining active FedRAMP ATOs · 3+ years of people management experience, including hiring, developing, and leading compliance or security teams · Strong understanding of cloud infrastructure security (AWS, Azure, or GCP) in FedRAMP environments · Familiarity with healthcare compliance frameworks (HIPAA, HITRUST) and their intersection with federal requirements · Proven project management skills with ability to coordinate complex, multi-stakeholder authorization efforts · Experience working with 3PAOs and understanding of security assessment methodologies · Excellent written and verbal communication skills with ability to translate technical security concepts for various audiences · Relevant certifications such as CISSP, CISM, CAP, or FedRAMP-specific certifications preferred · Bachelor's degree in Information Security, Computer Science, or related field required; Master's degree preferred · Ability to obtain and maintain security clearance if required Do Well. Live Well. At Amwell. Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day. Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members. We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are. Benefits Flexible Personal Time Off (Vacation time) 401K match Competitive healthcare, dental and vision insurance plans Paid Parental Leave (Maternity and Paternity leave) Employee Stock Purchase Program Free access to Amwell’s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic’s second opinion program Free Subscription to the Calm App Tuition Assistance Program Pet Insurance Salaried, Exempt Roles The typical base salary range for this position is $126,180 - $154,220. The actual salary offer will ultimately depend on multiple factors including, but not limited to, knowledge, skills, relevant education, experience, complexity or specialization of talent, and other objective factors. In addition to base salary, this role may be eligible for an annual bonus based on a combination of company performance and employee performance. Long-term incentive and short-term variable compensation may be offered as part of the compensation package dependent on the role. Some roles may be commission based, in which case the total compensation will be based on a commission, and the above range may not be an accurate representation of total compensation. Further, the above range is subject to change based on market demands and operational needs and does not constitute a promise of a particular wage or a guarantee of employment. Your recruiter can share more during the hiring process about the specific salary range based on the above factors listed. https://business.amwell.com/company/privacy-notice-applicants Privacy Notice To apply: https://weworkremotely.com/remote-jobs/amwell-manager-government-compliance-authorization
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Headquarters: Bengaluru, India About us group.one is a dynamic and innovative company at the forefront of technology and digital solutions. Our commitment to excellence and our passion for cutting-edge advancements make us a leader in the industry. Within group.one , we have Rank Math, founded in 2020, is the Swiss Army knife of SEO tools, trusted by millions of WordPress users. We’re a small, passionate, fully remote team that's part of group.one - one of Europe’s top digital service providers. We believe in flexible schedules, asynchronous communication, and buildingimpactful products together. We’re not just building a product - we’re creating the future of SEO in WordPress. If that excites you, we’d love to hear from you. Let’s build something extraordinary together. About the role Rank Math is calling for a Product Manager who's equal parts strategic thinker, UX advocate, and SEO Nerd. You’ll lead the charge in building features that empower millions of WordPress users to dominate search rankings. This is your chance to own the roadmap and ship game-changing SEO tools. Why This Role Stands Out AI isn’t just a buzzword at Rank Math - it’s core to our product strategy. This is a real opportunity to lead the development of AI-powered tools that help users automate, optimize, and scale their SEO performance. As Product Manager, you’ll play a key role in shaping and shipping these intelligent features. What You’ll Be Doing o Defining product vision and roadmap based on customer needs, SEO trends, and competitive analysis. o Collaborating with engineering, design, and marketing teams to deliver features that drive user adoption and retention. o Leading cross-functional planning to ensure on-time delivery and alignment across stakeholders. o Partnering with support and growth teams to ensure product-market fit and measurable outcomes. o Conducting user research, gathering feedback, and analyzing usage data to inform product decisions. o Leading customer onboarding and experience improvements during our SaaS transition. o Implementing product analytics tools to track engagement, retention, and feature adoption. o Working closely with the customer support and success teams to identify pain points and continuously improve user satisfaction. o Keeping abreast of changes in SEO practices, search engine algorithms, and the WordPress ecosystem. o Creating clear, concise product requirement documents (PRDs) that align with business goals. o Championing a culture of experimentation and continuous learning through A/B testing and feedback loops. Ideal Background o 5+ years of product management experience, ideally with WordPress or SEO-related products. o Proven track record of managing technical products from concept to launch. o Strong understanding of SEO fundamentals and user needs in the WordPress community. o Experience working on SaaS products, especially within the WordPress or marketing tools space. o Excellent communication and stakeholder management skills. o Familiarity with tools like HubSpot, Jira, Figma, and product analytics platforms is a plus. Apply now and let’s make SEO magic happen! To apply: https://weworkremotely.com/remote-jobs/saas-product-manager
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Headquarters: Remote Company Overview Holafly is a high-growth scale-up revolutionising how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support travellers with seamless, unlimited data connectivity. We’re not just connecting people—we’re enabling freedom and peace of mind, ensuring our users stay connected from the second they land, wherever their journey takes them. The Role You will serve as the strategic bridge between Finance and our core growth engines, translating complex data into actionable roadmaps for our Marketing and Product leaders. Your mission is to move beyond the numbers, driving operational excellence and ensuring every Euro spent accelerates our global scaling efforts. Key Responsibilities Drive Strategic Alignment: Partner with Marketing and Product leads to co-create annual budgets and rolling forecasts that reflect ambitious growth targets. Maximise Returns: Assist with the delivery and analysis of Customer and Product ROI to ensure marketing spend and feature developments drive high value. Guide Product Innovation: Build robust financial models to evaluate the viability and potential impact of new features and market expansions. Translate Data to Insight: Convert monthly financial results into strategic narratives that help department heads pivot quickly and effectively. Mitigate Risk: Identify operational bottlenecks and financial risks early, providing proactive solutions to keep projects on track. Champion Scalability: Streamline reporting processes to ensure financial transparency as we continue to scale globally. Qualifications Proven Experience: Background in Finance Business Partnering, ideally within a high-growth SaaS or Digital environment. Analytical Rigour: Advanced proficiency in financial modelling and data visualisation tools (e.g., Tableau, Looker, or SQL). Strategic Mindset: Ability to see the "big picture" and influence senior stakeholders through data-driven storytelling . Adaptability: Experience navigating the fast-paced, evolving landscape of a global scale-up. Commercial Acumen: A deep understanding of digital marketing metrics and product development life-cycle. Good to have Experience in the travel-tech or telecommunications industry. Professional certification (CIMA, ACCA, or MBA). Benefits & Perks Remote Working: Our remote setup is flexible to support work-life balance , allowing you to integrate your professional and personal life seamlessly. Growth Environment: Opportunities to lead high-impact projects in a truly global team focused on psychological safety and autonomy. Self development budget of € 500 . Discounts on e-sim for self, family/friends Apply today and help us transform connectivity for the future of corporate travel and enterprise mobility. Visit us at Holafly.com to explore open positions and learn more about our mission! To apply: https://weworkremotely.com/remote-jobs/holafly-finance-business-partner-marketing-product
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff for Data Analysis and Evaluation you will: Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess the generalisability and robustness of ML systems across diverse use cases. Collaborate with teams to improve dataset quality and model performance. Train and fine-tune large language models (LLMs) on distributed training infrastructures. Conduct experiments to evaluate model performance and identify areas for improvement. You May Be a Good Fit If You Have Extremely strong software engineering skills. Strong expertise in designing and conducting data collection tasks, including working with human annotators. Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. Hands-on experience training large language models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Cohere by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Our Culture Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment. At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success. Job Summary We are seeking an experienced Agentic AI Evaluation Data Scientist to design and implement evaluation frameworks for conversational and autonomous AI systems supporting commerce and customer-facing use cases. The role will be responsible for assessing agent performance across task completion, tool-use accuracy, multi-turn coherence, recommendation relevance, hallucination, and customer experience outcomes. The successful candidate will build automated and human-in-the-loop evaluation pipelines using Azure AI Foundry, establish regression and red-teaming practices, and analyze production telemetry to identify quality drift, failure patterns, bias, and fairness concerns. Working closely with AI Engineers and Solution Architects, the role will embed evaluation gates into MLOps and CI/CD pipelines and provide clear risk assessments to support responsible AI governance and release decisions. Responsibilities Design and implement evaluation frameworks for agentic AI systems (conversational shopping assistants, autonomous task agents), covering task success rate, tool-call accuracy, and multi-turn coherence. Build offline and online evaluation pipelines using Azure AI Foundry evaluation tools, combining LLM-as-judge techniques, human-in-the-loop review, and statistical significance testing. Define and track quality metrics specific to commerce agents — recommendation relevance, hallucination rate, task completion, escalation/handoff accuracy, and customer satisfaction proxies (CSAT, resolution rate). Design red-teaming and adversarial testing protocols to probe agent robustness against prompt injection, jailbreaks, and edge-case commerce scenarios (returns, fraud, pricing errors). Develop regression testing suites for agent to detect quality drift across model versions, prompt changes, and RAG knowledge base updates. Analyze production agent logs/telemetry to identify failure patterns, bias, and fairness issues, feeding insights back into prompt engineering, fine-tuning, and RAG retrieval improvements. Collaborate with AI Engineers and Solution Architects to instrument agents for observability (tracing, logging via Azure Monitor/Application Insights) and define evaluation gates within MLOps/CI-CD pipelines. Communicate evaluation findings and risk assessments to technical and business stakeholders, informing go/no-go decisions for agent releases and supporting responsible AI governance/compliance reporting. Skills Required 5–8 years in data science/ML, with at least 2–3 years specifically focused on evaluating LLM-based or agentic AI systems in production, ideally within retail, e-commerce, or customer-facing conversational AI domains. Benefits Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise. We Recognize That Our People Perform At Their Best When They Feel Valued As Significant Contributors And That Is Why At Cognizant, Taking Care Of Our Employees Is a Priority You can pursue innovative career tracks and opportunities here You can enhance your professional development through education and dedicated training We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future. Next Steps Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Cognizant by 2x See who you know
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About The Role We're looking for a Data Scientist to own the quality, reliability, and trustworthiness of our clinical AI outputs. You'll build the systems that ensure our AI "knows what it doesn't know" — developing evaluation frameworks, calibrated confidence scoring, and automated quality assurance that physicians can actually trust. What You'll Do Design and implement automated evaluation pipelines that assess AI output quality, accuracy, and safety at scale Develop uncertainty quantification systems where confidence scores meaningfully correlate with accuracy Build comprehensive evaluation frameworks combining automated assessment with clinician-validated test cases Implement feedback loops that continuously improve model outputs based on validation signals Establish scalable quality gates that catch errors before they reach end users Contribute to model alignment and fine-tuning efforts Qualifications Required Strong foundation in deep learning frameworks (PyTorch) and LLM architectures Experience with model evaluation, benchmarking, and quality metrics Proficiency in Python and modern ML development tools Strong statistical foundations Ability to read, implement, and extend research papers Excellent communication skills Preferred Master's degree in Computer Science, Machine Learning, Statistics, or related quantitative field (PhD preferred) Publications in top ML/AI venues (NeurIPS, ICML, ICLR, ACL) Experience with RLHF, DPO, or preference optimization techniques Background in healthcare AI or regulated industries Experience building evaluation systems for production LLM applications Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Bioscope AI by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Your mission Define how AI models for materials discovery are evaluated, compared, and trusted Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As our models grow more complex and our experimental throughput increases, the limiting factor is no longer generating predictions, but knowing which ones to believe. As Materials Informatics Scientist (Evaluation-focused), you will own the evaluation and validation of AI models applied to materials discovery. Your role is to ensure that model performance claims are meaningful, comparable, and decision-relevant, and that progress in AI for Materials reflects real improvements in discovery, not artifacts of metrics or datasets. This role is not about building new models. It is about defining the standards by which models are judged. Your tasks will include: Own evaluation as a scientific discipline Design, implement, and maintain evaluation frameworks for AI models across materials discovery tasks Define metrics and protocols that reflect generalization, robustness, uncertainty, and experimental relevance Identify failure modes, dataset leakage, and misleading performance signals Interrogate and compare models Systematically benchmark different model classes, training regimes, and representations Evaluate tradeoffs between accuracy, uncertainty, data efficiency, and usability Provide clear, defensible recommendations on which models to trust, deploy, or retire Connect AI performance to real outcomes Link model behavior to experimental results and program-level objectives Distinguish improvements that change decisions from those that only improve abstract scores Help research and programs teams understand what current models can and cannot reliably do Build robust analytical tooling Develop and maintain professional-grade scripts and analysis pipelines for evaluation and benchmarking Visualize complex, high-dimensional results in ways that surface real insight Ensure disciplined, reproducible handling of data, code, and results Communicate truth clearly Present findings clearly to AI researchers, materials scientists, and leadership Produce concise summaries that align the organization around a shared view of evidence and uncertainty Act as an independent scientific reference point when claims require validation Your profile PhD (strongly preferred) or Master’sdegree in materials science, chemistry, physics, machine learning, or a related field Significant experience (typically 5–8 years) working with scientific or ML systems under real-world uncertainty Demonstrated experience evaluating, benchmarking, orvalidatingmodels rather than only building them Strong programming skills in Python and scientific data tooling Deep appreciation for rigor, reproducibility, and careful interpretation of results English fluency, additional languages preferred About Us Dunia , meaning “world” in over 20 languages, reflects our focus on building technologies that deliver abundance globally. By combining physics, AI, and automation, we accelerate materials discovery for next-generation energy and industrial systems. Our work helps make energy more accessible and materials more affordable and resilient while reshaping how science moves from idea to impact. Join us to work on problems where progress truly compounds. Need more convincing? --> Watch this video We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet. Reach out, and follow us on LinkedIn! Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Science Industries Software Development Referrals increase your chances of interviewing at Dunia by 2x See who you know
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Aaru provided pay range This range is provided by Aaru. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $600,000.00/yr About Aaru Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a modeled environment. Companies and institutions use these simulations to test consequential choices before committing—from product launches and pricing decisions to strategic communications and policy changes. Building a useful simulation requires more than generating plausible text. Populations must represent real people and groups; predictions must be calibrated; simulations must remain coherent as conditions change; and the product must make the resulting evidence legible enough to support real decisions. We are a small, in-person team in New York. We work with urgency, high ownership, and intellectual honesty. We expect people to surface inconvenient evidence, change their minds quickly, and carry important work all the way to a result. About Evaluation Research Evaluation Research determines whether Aaru's populations, predictions, and end-to-end simulations correspond closely enough to the real world to support consequential decisions. The team defines what should be measured, develops the methods for measuring it, and produces the evidence Aaru uses to improve its systems and describe their capabilities. The function builds both rails and carts . Rails are reusable evaluation infrastructure: datasets, harnesses, libraries, experiment standards, leaderboards, reporting systems, and ways to translate technical evidence into decisions. Carts are the specific evaluations that run on those rails: a historical backtest, a prospective forecast study, a population-coherence test, a reproduction of an observed behavioral pattern, or an end-to-end comparison with a resolved outcome. Evaluation Research is not conventional QA and it is not benchmark administration. It is an independent research function. The work requires understanding the systems deeply, collaborating closely with their builders, and remaining willing to conclude that an attractive method did not improve what matters. The role As an Evaluation Researcher, you will own difficult measurement problems at the boundary of machine learning, statistics, behavioral science, and product decision-making. You will define constructs, assemble or create evaluation data, design studies, write analysis and evaluation code, inspect individual failures, quantify uncertainty, and communicate what the evidence does and does not support. Some projects will build reusable rails used across the research organization. Others will be focused studies intended to resolve one important uncertainty. In both cases, the goal is the same: create an evaluation that is valid enough to trust, diagnostic enough to guide improvement, and clear enough to inform a real decision. You will work closely with Population Research, Prediction Research, Simulation Engineering, Product Engineering, Research Product, and Deployment while protecting the independence and integrity of final measurements. What You Will Do Own an important evaluation or measurement area across population construction, predictive systems, individual agent behavior, group dynamics, or end-to-end simulations. Turn broad questions about realism, accuracy, calibration, usefulness, and decision quality into measurable constructs and explicit decision criteria. Design studies using historical backtests, temporal holdouts, prospective outcomes, observational records, controlled experiments, expert judgment, or mixed methods as the problem requires. Build tests of individual-profile quality, including internal coherence, contradictions, impossible combinations, unsupported specificity, stability, and whether a profile induces behavior consistent with the represented person. Build tests of population quality, including marginal and joint distributions, conditional relationships, coverage of rare but plausible profiles, subgroup fidelity, and sensitivity to sampling choices. Evaluate predictions using calibration, proper scoring rules, ranking quality, selective prediction, temporal validity, subgroup performance, and the decision cost of different errors. Compare simulations with transactions, product usage, behavioral traces, operational outcomes, market movements, resolved events, surveys, and longitudinal decisions. Design longitudinal and interaction-based evaluations that test how agents change over time, respond to new information, and influence one another. Build end-to-end studies that determine whether a component improvement actually changes the quality of the conclusion a customer receives. Establish strong baselines and compare agent-based simulation with direct forecasting, conventional statistical models, simpler segment-level methods, and human or market benchmarks where appropriate. Find failures hidden by aggregate metrics, especially failures concentrated in important subgroups, rare cases, changing environments, or ambiguous labels. Build diagnostic evaluations that localize why a system failed and whether a proposed fix generalizes beyond the development set. Develop reusable evaluation datasets, harnesses, libraries, graders, experiment schemas, leaderboards, and reporting tools where shared infrastructure will accelerate future research. Work with Simulation Engineering to version and automate evaluations while keeping protected holdouts and final claims insulated from development leakage. Convert customer surprises, production incidents, and resolved real-world outcomes into durable test cases. Write clear technical reports that distinguish exploratory evidence from claim-supporting evidence and communicate uncertainty, limitations, and alternative interpretations. Report negative, null, and inconclusive findings with the same care as positive results. Representative research directions You might investigate questions such as: Construct a population using data available at one point in time, then test whether its future transactions, choices, or behavioral outcomes match what later occurred. Recreate a historical decision environment using only information available before the outcome and compare the simulation with the observed result. Run prospective evaluations in which Aaru records predictions before outcomes are known and tracks performance as those outcomes resolve. Determine whether profile-coherence scores, population-distribution metrics, or forecast calibration predict end-to-end simulation quality. Measure whether simulated groups reproduce observed patterns in information diffusion, coordination, influence, polarization, or collective choice. Study how population size, heterogeneity, interaction structure, model capability, context length, and computation affect simulation fidelity. Build tests for memorization, leakage, prompt sensitivity, unsupported certainty, judge bias, and benchmark-specific overfitting. Develop evaluation methods for settings where outcomes are delayed, noisy, partially observed, selected, or open to more than one reasonable interpretation. Compare automated graders, expert review, behavioral outcomes, and human-subject measurements to determine when each is a valid proxy. Estimate whether the measured gain is large enough to matter for the decision, not merely statistically distinguishable from zero. How we work A useful evaluation measures something consequential and helps the company learn. We compare systems with strong alternatives, protect held-out data, quantify uncertainty, and separate exploratory findings from evidence used to support a claim. When ground truth is imperfect, the quality and limits of the outcome data are part of the research problem rather than a footnote. Evaluation should make research faster by giving teams clear signals about what improved, what did not, and why. It should also make Aaru more trustworthy by exposing failures early and keeping product and external claims aligned with the evidence. Researchers own the full arc of the work: construct definition, data provenance, implementation, analysis, failure inspection, interpretation, communication, and the decision that follows. A polished metric without a valid construct is not success. You might thrive in this role if You have a record of rigorous work in ML evaluation, statistics, behavioral science, computational social science, economics, psychometrics, experimental design, or a related field. You have built an evaluation that changed a research direction, model capability, product decision, or scientific conclusion. You can define a difficult construct precisely enough to measure it without losing the underlying question. You are comfortable with observational data, sampling, statistical power, uncertainty, causal threats, selection, leakage, and condition shift. You can write code, analyze large datasets, build evaluation systems, and inspect individual examples rather than relying only on aggregate dashboards. You naturally ask what a benchmark actually measures, what behavior it incentivizes, and where it can be gamed or contaminated. You can work closely with a system's builders while maintaining independent judgment about its quality. You care more about an accurate conclusion than a favorable one and are willing to revise your own evaluation when it proves inadequate. You communicate technical evidence clearly to researchers, engineers, product teams, customers, and non-specialists. You want to work in person in New York with a team that moves quickly and treats inconvenient evidence as valuable. Strong candidates may also have Work in forecasting evaluation, econometrics, psychometrics, causal inference, survey methodology, experimental economics, measurement theory, or model behavior. Experience evaluating LLM agents, multi-agent systems, synthetic populations, recommender systems, probabilistic models, simulations, or decision-support tools. Experience with longitudinal records, transaction data, product analytics, field experiments, prospective studies, or operational validation. Experience building evaluation platforms, regression suites, experiment-tracking systems, shared datasets, model scorecards, or scientific reporting tools. Experience with automated graders, human evaluation, rubric design, inter-rater reliability, benchmark contamination, or adversarial evaluation. A record of finding an important failure that standard metrics missed and developing a better way to measure it. Experience communicating scientific results in customer-facing, public, policy, legal, or regulatory settings. Candidates need not have Prior experience in population simulation or a job title containing the word “evaluation.” A PhD, provided you can demonstrate equivalent research depth and empirical rigor. Expertise in every statistical or machine-learning method listed above. We care most about measurement judgment, technical execution, and intellectual honesty. What success looks like You create evaluations that resolve important uncertainty rather than merely producing additional metrics. Your measurements are valid enough to support decisions, diagnostic enough to guide improvement, and reproducible enough for others to challenge. Important failures are found early, explained clearly, and converted into durable datasets, tests, or research questions. Protected evidence remains trustworthy while development teams still receive fast feedback. Reusable rails reduce duplicated work and make results comparable across projects, systems, and versions. Product and research claims become more precise because their supporting evidence and limitations are explicit. Your work helps Aaru distinguish a genuine general improvement from overfitting, leakage, a proxy failure, or a favorable anecdote. Colleagues trust your conclusions because you combine scientific rigor with a practical understanding of how systems improve. Location and benefits This role is based in New York City. Aaru is an in-person company, working five days a week in the office. Candidates should be located in the New York metropolitan area or open to relocation. Aaru offers a competitive base salary, equity participation, comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and other benefits and perks. Final compensation depends on level and experience and is set within Aaru's internal bands. Compensation Range: $200K - $600K Show more Show less Seniority level Not Applicable Employment type Full-time Job function Research, Analyst, and Information Technology Industries Software Development Referrals increase your chances of interviewing at Aaru by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Minimum qualifications: Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems. Experience with training large models (e.g., supervised finetuning, RLHF). About The Job The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations. We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models. Develop adversarially robust AGI control systems and implement them in production. Research interpretability techniques to understand what AI systems are ‘thinking’. Work with product teams to ensure that our research is correctly adopted. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google DeepMind by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our Blog Provides An Overview Of Topics That The Alignment Science Team Is Either Currently Exploring Or Has Previously Explored. For The London Team, We Are Opportunistically Hiring For The Following Research Areas AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You May Be a Good Fit If You Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong Candidates May Also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates Need Not Have 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £260,000—£370,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x See who you know
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API Development Guardrails LLM Machine Learning Model Evaluation
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Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Fashion & Luxury) | REMOTE (US only) or ONSITE NYC | Full-Time $80k-$120k + equity, or Contract $50-$150/hr | jobs@arcforma.ai We build production AI systems inside other people's companies: hotel groups, automotive retail, creative agencies, consumer brands. One industry at a time, sitting next to the operator whose job the system changes. Very little of it is generic LLM plumbing. Two ways in. CONTRACT, PROJECT-BASED ($50-$150/hr). For people who already have the domain. A scoped first project, typically three to six weeks. This is most of what we need right now, and it is how we would rather start with anyone senior. FULL-TIME ($80k-$120k + equity). For strong engineers earlier on who want to go deep into one industry with us instead of staying a generalist. We teach you the vertical. You bring the engineering. Pick one track. Depth in one beats a tour of all three. MARKETING. Lifecycle and CRM automation, brief-to-asset pipelines, creative variants with brand guardrails that hold, attribution. You have fought HubSpot, Klaviyo, and the Meta and Google ad APIs. CONSTRUCTION. Invoices in, mapped to contracts, schedule of values, and cost codes, back out as pay applications. Then RFIs, submittals, change orders, schedule impacts. You know why generic invoice parsers stall when half the input is handwritten. Weighted toward ex construction tech and people who have run operations at a GC or a sub. FASHION AND LUXURY. Merchandising and assortment planning, tech packs and PLM, Shopify Plus and PIM, allocation, replenishment, demand forecasting, size curves, markdown optimization, clienteling, creative workflows. ALL TRACKS: You own a system end to end (data in, evals, an interface the client actually opens), and you can sit with a non-technical operator and leave with the right spec. TO APPLY: email jobs@arcforma.ai with the subject line HN | TRACK | Your Name | your applicable background in one short line TRACK is MKT, CON, or FASH. For example: HN | FASH | Jane Okafor | 6 yrs building allocation and planning systems at a DTC apparel brand The body: what you shipped that is applicable to the role, a link we can open (GitHub, a writeup, a demo), LinkedIn, and your timezone plus whether you want contract or full-time and at what rate. Every application gets a reply within five business days. 20 minute call, paid trial on real work, then a project or an offer.
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About OPAL Fuels OPAL Fuels (Nasdaq: OPAL) is a leader in the capture and conversion of biogas into low carbon intensity RNG and renewable electricity. OPAL Fuels is also a leader in the marketing and distribution of RNG to heavy duty trucking and other hard to de-carbonize industrial sectors. For additional information, and to learn more about OPAL Fuels and how it is leading the effort to capture North America’s naturally occurring methane and decarbonize the economy, please visit www.opalfuels.com. Position Summary We are hiring a Continuous Improvement Engineer with at least 5 years of experience to work in our Operations team. This position reports to Director -BioGas Operations and Delivery will work remotely from home, with periodic travel to operating facilities nationwide, estimated 50%. This position is responsible for providing centralized operational performance leadership to improve production, reduce losses, optimize costs, and increase operational consistency across the Biogas fleet. The Continuous Improvement Engineer serves as the owner of fleet performance measurement, operational analytics, loss accounting, benchmarking, scorecards, reporting systems, and continuous improvement initiatives. This position works closely with Operations, Reliability, Process Engineering, and Controls to identify performance gaps, develop improvement strategies, and drive sustainable operational excellence across the fleet. Duties & Responsibilities
Lead fleet continuous improvement and operational excellence initiatives.
Develop operational scorecards, KPIs, dashboards, and performance reporting.
Analyze operational losses and drive corrective improvement actions.
Measure asset capability and identify performance improvement opportunities.
Identify gaps between actual performance and production plans.
Lead constraint management, debottlenecking, and operational optimization efforts.
Develop and maintain fleet performance and morning reporting systems.
Monitor energy consumption and variable operating cost performance.
Benchmark facilities and standardize best operating practices fleet-wide.
Utilize analytics, AI tools, and economic modeling capabilities.
Five core capabilities to assist the Operational Excellence Campaign:
Asset Reliability
Mechanical Integrity
Unplanned Event Reduction
Risk Management
Reliability Systems
Qualifications and Skills
Bachelor’s degree in engineering (Mechanical, Chemical, Electrical, Industrial or related field) from an accredited program.
Minimum 5 years of demonstrated process improvement in RNG, oil and gas, chemical, petrochemical, or comparable industrial experience.
Strong analytical and problem-solving capability
Ability to analyze operational and financial performance trends.
Ability to identify operational improvement opportunities through data analysis.
Demonstrated ability to utilize AI tools to support operational improvement.
Effective communication and cross-functional coordination capability
Ability to travel 50% based on fleet demands.
Home-based position preferred near an operating asset
Support all RNG and renewable power facilities across the fleet.
Work Hours and Arrangements Standard Monday - Friday, first shift (exempt position); must be available for after-hours/weekend calls as business needs demand. Ability to travel 50%+. This is a remote position; however, preference will be given to candidates residing in the following states: AL, AZ, CA, CO, FL, GA, IA, IL, IN, KS, KY, LA, MA, MD, MI, MN, MS, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, WA, WI, WV . This is to ensure alignment with business needs, time zones, and applicable employment regulations. Physical Requirements The physical demands described are representative of those required by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be provided to enable individuals with disabilities to perform the essential functions of the position. Candidate must be able to work in heavy industrial plant environments, in all types of weather; this may include walking, climbing, reaching, bending, crawling, or stretching. Candidate must be able to speak and hear at normal levels, see with close vision, distance vision, color vision, peripheral vision, depth perception, and have the ability to adjust focus. Individuals must be able to use hands and fingers to operate tools, motorized equipment, and other construction equipment. Must be able to lift/and or move up to 50 lbs. Job Type Full-time Pay The range for this role is anticipated to be $130,000 - $145,000 annually with bonus for eligible positions. Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location. Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short & Long Term Disability
401(k) plus Matching Contributions
Tuition Assistance
Referral Bonus
Generous Paid Time Off
Ten Paid Holidays
OPAL Fuels LLC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. OPAL Fuels does not accept unsolicited resumes from third-party recruiters or agencies without a current signed agreement and written confirmation specifying the roles for which submissions are authorized. Any resumes submitted without an agreement and authorization will be considered the property of OPAL Fuels . Originally posted on Himalayas
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Data Annotation Data Pipelines Data Quality Documentation Evaluation
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Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell B2C Scale Stage Top Investors +1 Save Apply Now Research Engineer, AI Safety & Alignment $225k – $400k | Remote ( United States ) • Redwood City |Full Time Posted: 10 months ago Job Location Redwood City Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed Hiring contact Tim Godfrey Employee About the job About the role and team Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment. Your work will be pivotal in understanding and mitigating the risks of advanced AI, conducting foundational research to make our models safer, and solving the core technical problems of AI alignment—ensuring our models behave in accordance with human values and intentions. The Safety team is dedicated to pioneering and implementing techniques that make our models more robust, honest, and harmless. As a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Your research will not only protect millions of users but also contribute to the broader scientific community's understanding of how to build safe, beneficial AI. What you'll do Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models. Research and develop cutting-edge techniques for model alignment, value learning, and interpretability. Conduct adversarial testing to proactively uncover potential vulnerabilities and failure modes in our models. Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning. Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best practices. Stay abreast of the latest advancements in AI safety research and contribute to the academic community through publications and presentations. Who you are Hold a PhD (or equivalent experience) in a relevant field such as Computer Science, Machine Learning, or a related discipline. Write clear and clean production-facing and training code Experience working with GPUs (training, serving, debugging) Experience with data pipelines and data infrastructure Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications. Are passionate about the responsible development of AI and dedicated to solving complex safety challenges. Nice to Have Experience with product experimentation and A/B testing Experience training large models in a distributed setting Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud) Experience with explainable AI (XAI) and interpretability techniques. Have research in AI safety, alignment, ethics, or a related area. Knowledge of the broader societal and ethical implications of AI, including policy and governance. Publications in relevant academic journals or conferences in the field of machine learning About Character.AI Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success. Apply Now About the company Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell 51-200 Employees Palo Alto 51-200 Information Technology Artificial Intelligence B2C Scale Stage Top Investors Valuation $1B+ Learn more about Character AI Similar Jobs Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell Staff Data Scientist, Monetization $250k – $300k Apply C3 AI C3 AI is a leading enterprise AI software provider for accelerating digital transformation Data Scientist/Senior Data Scientist $136k – $183k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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We're transforming the grocery industry
At Instacart , we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview The Marketing Enablement & Technology (MET) team sits within Instacart 's Marketing organization, building the systems, data pipelines, and platforms powering Instacart 's growth. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Software Engineer II for the Technical Search Visibility pod to build features and systems that enhance Instacart 's search engine visibility and drive organic traffic — one of our most substantial growth levers. You'll develop full-stack features that improve SEO performance across millions of web pages, contribute to data pipelines that surface optimization insights, and work across our stack to ensure our platform is discoverable by millions of users. You'll deliver features end-to-end, contribute to technical decisions, and partner closely with Marketing and Product to translate growth requirements into scalable solutions. About the Job
Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.
Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with a strong sense of urgency and ownership.
Apply technical best practices to deliver performant, observable, and cost-aware code that improves traditional search rankings, LLM visibility, and user experience.
Contribute to data pipelines for SEO and AEO data ingestion, transformation, and delivery, applying simple, reusable abstractions to keep the system healthy as it grows.
Collaborate with product managers, designers, and marketing partners to translate user needs into technical requirements, surface trade-offs, and deliver on shared goals.
About You Minimum Qualifications
2–4 years of software engineering experience with proficiency in React, Ruby, Python, PostgreSQL, and SQL.
Demonstrated ability to build and launch complete features end-to-end with minimal oversight, including development, experimentation, and production rollout.
Experience with distributed systems and data engineering — designing pipelines, optimizing schemas, and ensuring data quality — with exposure to Airflow or DBT.
Ability to write performant code and improve system observability through logging and metrics, identifying and resolving bottlenecks as they arise.
Strong product mindset with the ability to translate user needs into technical requirements and understand how your work impacts business metrics.
Effective communicator who can collaborate across marketing, product, and engineering partners to align on requirements and deliver solutions.
Preferred Qualifications
Experience working on SEO/AEO initiatives or familiarity with SEO best practices, answer engine optimization for LLMs, structured data (Schema.org), search engine crawling/indexing, and Core Web Vitals.
Familiarity with how AI-powered search engines and LLMs consume and surface content, with curiosity about optimizing for AI answer generation.
Experience with big data technologies (Apache Spark, Airflow, Hadoop), NoSQL databases, and data warehousing platforms (Snowflake, Redshift).
Track record of proactively raising and resolving technical debt to keep code and systems healthy.
Experience launching experiments and analyzing results, including A/B testing frameworks for measuring SEO/AEO impact.
Previous experience partnering with marketing teams on growth initiatives in fast-paced startup environments.
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$145,000—$153,000 CAD
Originally posted on Himalayas
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Posit PBC is looking for a hands-on, operationally-minded Sr Manager to lead and scale the core post-sales technical functions. As a key leader in the Solutions Engineering organization, you will sit at the intersection of customer onboarding, technical solutioning, and scoped delivery — turning complex customer challenges into repeatable, high-quality outcomes. This is not a passive management role. You are a builder who can develop your team, drive process consistency, and get into the details when it matters. You are also a systems thinker when it comes to technology — including AI tools — and how it can reduce manual effort, accelerate delivery, and help invent new ways to serve customers. You care about delivering measurable value to customers and have the technical credibility to earn the trust of both your team and the customers they serve. At Posit, we value authenticity and technical curiosity. We're looking for someone who has seen what "good" looks like in a Professional Services organization and is ready to build it here in a new way — with a team that genuinely cares about helping customers succeed with open-source data science tools. Key Responsibilities You will oversee the strategy, day-to-day execution, and performance of the following functions: Solutions Engineering: Lead a team of Solutions Engineers who serve as the technical bridge between Posit's product capabilities and customer outcomes. Your SEs will support complex deployments, guide customers through architecture decisions, and develop repeatable solution frameworks for common use cases — including AI-assisted workflows and LLM-powered analytics patterns where relevant. Delivery & Technical Escalations: Manage a high-impact team focused on scoped engagements (SOWs), specific use-case deployments, and critical account-level technical escalations. Ensure delivery is profitable, scalable, and that escalation insights are fed back into the organization. You will also work collaboratively with CS leadership to evolve an effective customer experience through the evolution of team structures, workflows, and tools. What You'll Own Operational Excellence: Build and maintain playbooks, processes, and quality standards across the functions you lead while always considering the impact and intersection with the full customer journey. Convert ad-hoc "heroic" efforts into repeatable, measurable delivery. Team Performance: Hire, coach, and develop individual contributors and team leads. Build a culture of proactive customer partnership and continuous improvement. KPI Ownership: Define and track key metrics including Time-to-Value, CSAT, utilization, and project delivery quality. Use data to identify bottlenecks and drive improvements. Cross-Functional Collaboration: Partner closely with Sales, Customer Success, TAM, and Product/Engineering teams to ensure seamless hand-offs, aligned customer journeys, and a strong feedback loop from the field to the product. Escalation Management: Serve as a senior point of escalation for delivery issues. Stabilize at-risk engagements and ensure lessons learned improve future delivery. AI & Modern Tooling Adoption: Enable the use of AI tools and automation across your teams — from AI-assisted scoping and documentation to LLM-powered customer workflows. Identify where modern technology can eliminate repetitive work, shorten delivery cycles, and help customers unlock new use cases with Posit products. What You Bring: Experience: Extensive experience in Professional Services, Solutions Engineering, or a related post-sales technical function, including demonstrated success managing teams in a B2B enterprise software environment. Technical Domain: Hands-on experience with complex on-premise or hybrid deployments. Familiarity with the analytics, reporting, or data science software landscape is a strong plus. Operational Mindset: Demonstrated ability to build processes, write playbooks, and scale delivery — not just manage individuals. Delivery Track Record: Experience scoping and delivering SOW-based engagements. Comfort with project economics, capacity planning, and managing to utilization targets. Solutions Orientation: Ability to connect customer problems to platform capabilities, and to develop frameworks that help SEs do the same at scale. AI & Modern Technology Fluency: You actively use AI tools (e.g., coding assistants, LLM-powered workflows, automation) in your own work and understand where they create real leverage vs. hype. You can evaluate AI use cases critically, help your team adopt new tools confidently, and guide customers in applying AI to their analytics and data science workflows. You are a systems thinker, and strive to leverage technology not just to impact individual tasks, but how those tasks work in concert with how the business runs and results are achieved. Coaching & Development: A manager who grows people, not just manages tasks. You invest in your team's career development and technical depth — including keeping them current on emerging tools and AI capabilities. Adaptability: You thrive in an ever-changing environment and can shape strategies and systems that keep pace with the growth of the business Growth Mindset : You are naturally curious and are willing to try new things in order to experience and learn Mission-Driven: Alignment with Posit's mission to support open-source software and the data science community. Impact Plan Within 30 Days: Discovery & Listening
Get to know your team and understand their perspective and history of the organization.
Audit existing workflows across Onboarding, Solutions Engineering, and Delivery to identify bottlenecks and gaps.
Shadow team members in customer engagements to understand the current "technical journey" of a Posit customer.
Establish key relationships with Sales, Customer Success, TAM, and Product/Engineering leadership.
Review existing KPIs and the data inputs that support them.
Inventory current AI and automation tool usage (or absence) across the three teams.
Within 60 Days: Strategic Assessment
Develop a baseline for "Time-to-Value" and "Project Duration" metrics across all onboarding segments.
Map the current Solutions Engineering engagement model — identify gaps in tooling, frameworks, and repeatability.
Audit the active Delivery pipeline: assess project health, scoping quality, and escalation patterns.
Identify the top three process improvements most likely to improve customer outcomes and team efficiency.
Surface two to three specific opportunities where AI or automation could meaningfully reduce manual effort or accelerate delivery.
Within 120 Days: Execution & Optimization
Roll out an updated playbook that standardizes the first 90-day experience across customer segments.
Implement a Solutions Engineering framework: reusable architectures, demo assets, and qualification criteria for common use cases — including AI-assisted analytics patterns.
Optimize the Delivery scoping process to improve profitability and reduce delivery variance.
Establish a closed-loop escalation process that routes insights from technical escalations back to Product and Engineering.
Pilot at least one AI-assisted workflow within the team (e.g., automated documentation, AI-assisted scoping templates, LLM-powered customer diagnostics) and define a path to broader rollout.
Posit offers competitive compensation with extensive human-first, people-focused benefits to prioritize your personal and financial well-being. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. This hiring range reflects base salary and assumes that the job will be performed in the United States.
Hiring Range
$176,800—$247,600 USD
Working at Posit:
We welcome all talented colleagues and are committed to a culture that represents diversity in all its forms .
We prioritize giving ourselves “focus time” to get deep work done. We minimize meetings and attempt to operate asynchronously.
We are a learning organization and take mentorship and career growth seriously. We hope to learn from you and we anticipate that you will also deepen your skills, influence, and leadership as a result of working at Posit.
We operate under a unique sustainable business model : We have over 50% of our engineering dedicated to creating free and open source software. We are profitable and we plan to be around decades from now.
Posit is a Public Benefit Corporation (PBC) and a Certified B Corporation®, which means our open-source mission is codified into our charter. As a result, our corporate decisions balance the community's interests, customers, employees, and shareholders. Hear more about why we think this matters here.
Notable:
We offer competitive compensation with extensive human-first, people-focused benefits to prioritize your personal and financial well-being. These benefits apply to full-time positions only.
100% of medical, dental, and vision insurance premiums are covered for employees and their families! Fertility and gender-affirming healthcare is included in all of our plans.
Supplemental mental health and wellness benefits are available via Ginger even if you don’t opt in to our insurance plans, including Ginger for teen family members.
Posit's gender-neutral paid parental leave policy covers all new parents, including foster and adoptive parents.
All full-time employees are eligible for 401k enrollment starting on day one.
After six months of employment, Posit provides a substantial yearly match to employee 401K contributions.
An annual profit-sharing bonus for employees recognizes our team’s contributions to company performance across the year.
We are a 100% distributed team. You are also welcome to come into our Boston office.
We offer a $400 monthly reimbursement for coworking space rental if you prefer to work away from home.
Our Lifestyle Savings Account offers an initial deposit of $1800 and then an additional quarterly stipend of $375 to cover the costs of professional development, wellness, financial health, charitable giving, and remote work support.
We provide a flexible environment with a generous vacation policy that encourages a minimum of four weeks PTO per year plus 15 paid company holidays.
Are you excited about this role but not sure if your experience aligns with every qualification in the job description? That’s okay. We know multiple perspectives are essential for a thriving organization and we'd still love to hear from you!
Posit is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
Posit Software, PBC participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Originally posted on Himalayas
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We are seeking an experienced ISV z/OS Systems Programmer with strong expertise in the installation, maintenance, troubleshooting, and migration of Independent Software Vendor (ISV) products on the IBM z/OS platform. This role will focus heavily on evaluating, replacing, and migrating Broadcom (CA) mainframe products with alternative solutions while maintaining operational stability and performance. The ideal candidate will possess deep technical knowledge of mainframe systems programming, SMP/E software management, IBM utilities, and ISV product lifecycle management , along with experience performing product migrations and conversions between competing vendor tools. Key Responsibilities
Install, configure, maintain, and upgrade third-party ISV software products in a z/OS environment.
Lead initiatives to replace mainframe products with alternative vendor solutions.
Perform product evaluations, proof-of-concepts, and technical comparisons of replacement tools.
Plan and execute product migration and conversion activities , including configuration changes, data conversions, and operational cutovers.
Maintain and manage software using SMP/E , including RECEIVE, APPLY, ACCEPT, USERMODs, and maintenance management.
Troubleshoot and resolve issues related to ISV software installations, integrations, and runtime problems .
Work with application teams, operations, and vendors to diagnose system or product issues.
Develop and maintain installation documentation, procedures, and migration runbooks .
Assist in capacity planning, performance tuning, and operational support for ISV tools.
Support incident resolution and participate in root cause analysis for production issues involving ISV software.
Evaluate compatibility and impact of new z/OS releases on installed ISV products.
Required Skills and Experience
Extensive experience as a z/OS Systems Programmer supporting enterprise mainframe environments.
Strong background in installation and maintenance of ISV mainframe software products .
Hands-on experience with SMP/E software installation and maintenance processes .
Experience performing product migrations or conversions between competing vendor tools .
Strong troubleshooting and diagnostic skills across the z/OS platform.
Experience with IBM utilities and system tools commonly used in z/OS environments.
High-level working knowledge of TSO/ISPF environments and utilities.
Experience supporting multi-vendor ISV ecosystems in production mainframe environments.
Ability to analyze system documentation, vendor materials, and product architectures.
Preferred Qualifications
Experience specifically replacing ISV mainframe products with alternative vendor solutions.
Familiarity with common ISV categories such as:
Output management
Security
Scheduling
Storage management
Performance monitoring
Database tools
Automation operations
Experience working with vendor support organizations to resolve complex technical issues.
Knowledge of z/OS system internals, JES, RACF, and subsystem integration .
Experience with automation, scripting, or operational tooling in the z/OS environment.
Personal Attributes
Strong analytical and problem-solving skills.
Ability to manage complex migrations and product transitions in production environments.
Excellent documentation and communication skills.
Self-motivated with the ability to work independently or as part of a systems engineering team.
Ability to work on multiple client projects at the same time
Typical Deliverables
ISV product installation documentation
Migration and replacement project plans
Troubleshooting guides and operational procedures
Product comparison and evaluation reports
Maintenance and upgrade schedules
Why Ensono ? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices. Some of our benefits include:
Unlimited Paid Days Off
Three health plan options
401k with company match
Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement
Paid childbearing and paternal leave
Education Reimbursement, Student Loan Assistance or 529 College Funding
Sabbatical leave
Wellness program
Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is $85,000 to $148,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance [OR] a role-based, sales-incentive plan, and an equity grant under our Associate Equity Appreciation Program. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email . Originally posted on Himalayas
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Company : Highmark Health Job Description : JOB SUMMARY This role will lead product management efforts specifically focused on the Acquisition & Onboarding portfolio within the Government segment (Medicare and ACA) . The incumbent will be responsible for defining and executing strategies that drive membership growth, enhance member retention, and optimize the onboarding experience to foster engagement and confidence among our government members. This includes leveraging a deep understanding of market trends, government regulations, and the unique needs of our target audience to develop and launch innovative products and solutions. The leader will be accountable for defining strategy, formulating roadmaps, and ensuring value realization, ultimately shaping exceptional experiences and achieving critical business outcomes for the government segment. ESSENTIAL RESPONSIBILITIES
Perform management responsibilities to include, but are not limited to: involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management and staff productivity. Plan, organize, staff, direct and control the day-to-day operations of the department; develop and implement policies and programs as necessary; may have budgetary responsibility and authority.
Product Strategy & Vision
Define and articulate a clear product vision and strategy, communicating it effectively to stakeholders across the organization. Conduct market research, competitive analysis, and customer insights to identify unmet needs and opportunities for product innovation. Apply Human Centered Design principles to develop new products and experiences that delight and create durable customer and business value
Socialize product strategy and roadmap with key stakeholders and obtain buy-in
Develop and maintain a comprehensive multi-year product roadmap that aligns with the company's strategic goals and segment/market trends.
Identify & develop relationships with stakeholders to foster collaboration and influence business strategies & adjust product roadmap & strategy.
Product Development & Management
Lead the product development process from ideation to launch, working closely with cross-functional teams including engineering, design, technology, operations, marketing, and sales.
Define product requirements, user stories, and acceptance criteria, ensuring alignment with experience strategy, business objectives, and customer needs.
Manage product backlog, prioritize features, and track progress against timelines, budgets, and value realization
Conduct user testing and gather feedback to continuously improve product usability and performance.
Product Lifecycle Management
Monitor product performance metrics, analyze data, and identify areas for improvement.
Develop and implement strategies for product optimization, growth, and expansion.
Manage product in accordance with our Product Management lifecycle from launch to sunset, ensuring smooth transitions and minimizing disruption to customers, and engaging appropriate teams (research, design, marketing, engineering) as needed throughout lifecycle.
Team Leadership & Collaboration
Build, mentor, and lead a high-performing team of product managers and analysts.
Develop and deliver messaging that provides clear direction with needed context and strategic connection for teams.
Foster a collaborative, innovative and data-driven culture within the product team.
Lead teams through complex organizational or strategic changes with intention and optimism while maintaining team morale.
Effectively communicate product vision, strategy, and progress to stakeholders at all levels.
Industry Expertise & Compliance
Stay abreast of industry trends, regulations, and best practices in the health care sector & ensure comply with relevant regulations and industry standards.
Other duties as assigned or requested.
EXPERIENCE Required
7 years of experience in product management, strategy,operational improvement, and/or consulting or other relevant experience, preferably within the health insurance industry.
5 years of experience in Management or leadership role
Preferred None SKILLS
Through knowledge of membership, rates, financial, economic and competitive data
Excellent written, interpersonal, communication, and presentation skills
Excellent analytical, problem-solving, and decision-making skills
Proven track record of successfully developing and launching innovative products that meet customer needs and drive business growth
Knowledge of software development lifecycle, from planning to delivery
Experience developing business cases, and building ROI for programs from planning through execution
Strong understanding of the health insurance and health system landscape, including regulatory requirements, market dynamics, and customer behavior
Ability to lead and motivate teams, fostering a collaborative and results-oriented environment
Experience using sketches, flow diagrams, wireframes, mockups, prototypes, member experience blueprints, and visual concepts
EDUCATION Required Bachelor’s degree in Business Administration, Healthcare Administration, or a related field or relevant experience and/or education as determined by the company in lieu of bachelor's degree. Substitutions None Preferred None LICENSES or CERTIFICATIONS Required None Preferred None Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office- or Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $142,000.00 Pay Range Maximum: $236,000.00 Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at California Consumer Privacy Act Employees, Contractors, and Applicants Notice Originally posted on Himalayas
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If you think your skills, experience and aspirations make you a good match for this position, we encourage you to apply. This position may be filled anywhere in the United States. ABOUT THE ROLE The successful candidate will be a high level specialist and will perform in a Project Architect role, responsible for leading the development of all technical aspects and content for large, complex projects or multiple smaller projects, coordinating work with all disciplines to ensure an integrated set of deliverables, and verifying compliance through team collaboration. Your initial assignment will be on a 2.0+ million square foot healthcare facility at Mayo Clinic’s campus. HERE'S WHAT YOU'LL DO
Manage critical path process to lead project team through all technical and production aspects from initial stages of pre-design through project completion.
Lead the regular and ongoing engagement with the Office or Project Quality Leader for general and targeted project support.
Lead the integration and development of all technical aspects and content of the work and translate them into our instruments of service.
Work with the Project Manager to establish and maintain realistic work and labor plans and deliverable schedules that contribute to the bottom-line financial success and satisfy contractual obligations.
Engage in and contributes to the Project Risk Assessment process including updates. Proactively identifies, communicates, mitigates, and resolves project-related issues.
Guide and assist Project Architects in the development of Project Quality Plans and updates to effectively manage project Quality including phase milestone reviews and project pinups/technical charettes.
Review the development of and lead the execution of the documentation strategy for each phase drawing document deliverable through the Cartooning process.
Work in collaboration with Project Designer. Lead to manage/align design aspirations with client goals, project budget, schedule and team.
Lead the translation of the project design intent through the technical documentation and construction phases to project completion.
Lead the integration of the project’s building performance and sustainable design goals into a holistic design solution.
Continuously monitor project documentation and compliance with contractual obligations.
Guide and assist Project Architects in the Life Safety, Building and Energy Code analysis and compliance process for the project.
Lead coordination of all disciplines with the architectural design intent.
Collaborate with the Model Manager to monitor quality of the model processes, content, and deliverables.
Lead the alignment of the contract documentation by working closely with the Project Specification Writer, verifying Project Manual content and its coordination with the drawings.
Lead all aspects of the Construction Administration phase responsibilities including the timely response to RFIs and submittals.
Monitor, train and direct the work of all project team members, focusing on technical quality and process standards.
Meets established utilization target.
May assist Office Quality Leader with other project Quality reviews.
Supports office Quality efforts outside of direct project commitments.
Perform other duties as assigned.
Travel as required.
Professional business attire required when attending client meetings. Examples of professional business attire include suits, ties, collared dress shirts, dresses, and skirts.
HERE'S WHAT YOU'LL NEED
Bachelor's degree in a relevant field required.
Minimum 10 years of related professional experience required. Experience must include 5 years in increasingly responsible roles in construction documentation on institutional and/or commercial projects and at least 3 years in a responsible role in construction administration on large institutional or commercial projects.
Previous experience on large, complex projects.
Current Architectural Registration in the United States required.
CDT and LEED accreditation preferred.
Demonstrated focus on quality.
Knowledge of building codes and requirements.
Must possess business acumen.
Must have strong client leadership skills.
Must have strong technical leadership skills for production team.
Must be capable of leading and mentoring less experienced staff.
Must have advanced knowledge in discipline
Strong verbal and written communication skills.
Familiarity with Revit, Bluebeam, Microsoft Office, and construction management software.
The salary range for this position is $111,615.00 to $139,545.00 annually. This salary range is the range we believe is the anticipated range of possible base compensation at the timing of the posting. We may ultimately pay more or less than the anticipated salary range for the position. Employees may be eligible for discretionary bonuses. We offer a full benefit package including medical, dental and vision coverage and flexible spending account options and voluntary insurances. We have paid time off, flex-time summer hours, remote work options and a 401k plan and employee perk programs. For a general overview of our benefits, please visit our careers page at . Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
ABOUT OUR FIRM
CannonDesign is a design practice where strategy, experience, architecture, engineering, and social impact converge. We don’t just dream up solutions — we create and bring them to life in ways to solve some of the biggest challenges facing our clients and the society. At the heart of everything we do is Living-Centered Design, a bold commitment to using our talents to not just improve the world but to truly reshape it for the better. It’s more than a philosophy — it’s who we are, and it drives us to make a meaningful, lasting difference every day.
ABOUT WORKING HERE
We are relentless in our pursuit of client adoration (not simply satisfaction). Consistent delivery of the best service is what we are about.
We are committed to ensuring our practice is equitable for all employees, representative of the communities around us – and focused on the future of design. We advocate for equity, diversity, and inclusion efforts through the leadership of our DEI Council, Employee Resource Groups and other community advocacy initiatives.
We’re about communication and transparency here. If you want to talk to someone about an idea you have, or a challenge that needs addressing, we’re ready for you.
CannonDesign is an Equal Opportunity Employer. CannonDesign is committed to maintaining a work environment that is free from any and all forms of unlawful discrimination and harassment. It is therefore the firm’s policy to prohibit discrimination and harassment against any applicant, CannonDesign employee, vendor, contractor, or client on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by applicable law. It is also CannonDesign ’s policy to prohibit any and all forms of retaliation against any individual who has complained of harassing or discriminatory conduct, or participated in a firm or agency investigation into such complaints.
Please note that candidates can only apply to our positions on our company Careers site. It's not uncommon for scammers to create positions that look legitimate on other sites; never enter your information or apply for CannonDesign positions on any platform. Should an issue arise that you feel we should be aware of, please contact us.
As a condition of employment, all employees are expected to complete mandatory training, including compliance training, within required timeframes and adhere to our internal policies and our Code of Conduct.
Click here to learn more about the Mayo project. Originally posted on Himalayas
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Artificial Intelligence Audio Modeling Data sets Evaluation datasets Generative AI
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About OPAL Fuels OPAL Fuels (Nasdaq: OPAL) is a leader in the capture and conversion of biogas into low carbon intensity RNG and renewable electricity. OPAL Fuels is also a leader in the marketing and distribution of RNG to heavy duty trucking and other hard to de-carbonize industrial sectors. For additional information, and to learn more about OPAL Fuels and how it is leading the effort to capture North America’s naturally occurring methane and decarbonize the economy, please visit www.opalfuels.com. Position Summary We are hiring a Reliability Engineer with at least 10 years of experience to work in our Operations team. This position reports to Director -BioGas Operations and Delivery will work remotely from home, with travel to operating facilities nationwide, estimated 50%. This position is responsible for providing centralized fleet reliability leadership to improve equipment availability, maintenance effectiveness, operational risk management, outage execution, and long-term asset reliability across the Biogas fleet. The Reliability Engineer serves as the technical owner of fleet reliability programs, including mechanical integrity, unplanned event reduction, root cause failure analysis, predictive maintenance, critical equipment management, and reliability-related management systems. This position works closely with Operations, Maintenance, Process Engineering, and Controls to improve equipment performance, reduce production losses, and sustain Operational Excellence across the fleet. Duties & Responsibilities
Lead fleet reliability and asset performance improvement initiatives.
Own unplanned event reduction and production loss elimination programs.
Lead root cause analyses and corrective action implementation efforts.
Develop preventive, predictive, and condition-based maintenance strategies.
Establish mechanical integrity standards for critical operating assets.
Develop equipment criticality rankings and spare parts strategies.
Monitor equipment health through fleet reliability review processes.
Lead outage planning, execution support, and performance reviews.
Support risk management, PHA, MOC, and alarm programs.
Develop reliability metrics, dashboards, and performance reporting systems.
Five core capabilities to assist the Operational Excellence Campaign:
Performance monitoring
Loss analysis
Asset capability
Constraint management
Continuous improvement
Qualifications and Skills
Bachelor’s degree in engineering (Mechanical, Chemical, Electrical, or related field) from an accredited program. Mechanical Engineering preferred.
Minimum 10 years of demonstrated industrial reliability engineering experience preferred in RNG, Industrial oil and gas, chemical, petrochemical, or comparable industrial experience.
Strong industrial reliability engineering capability
Demonstrated experience supporting rotating and fixed equipment across multiple facilities managing flammable gases.
Ability to support both mechanical troubleshooting and long-term reliability improvement initiatives.
Ability to work directly with operations and maintenance personnel at operating facilities.
Ability to travel up to 50% travel expected – varies based on fleet demands.
Ability to support all RNG and renewable power facilities across the fleet.
Work Hours and Arrangements Standard Monday - Friday, first shift (exempt position); must be available for after-hours/weekend calls as business needs demand. Ability to travel 50%. This is a remote position; however, preference will be given to candidates residing in the following states: AL, AZ, CA, CO, FL, GA, IA, IL, IN, KS, KY, LA, MA, MD, MI, MN, MS, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, WA, WI, WV . This is to ensure alignment with business needs, time zones, and applicable employment regulations. Physical Requirements The physical demands described are representative of those required by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be provided to enable individuals with disabilities to perform the essential functions of the position. Candidate must be able to work in heavy industrial plant environments, in all types of weather; this may include walking, climbing, reaching, bending, crawling, or stretching. Candidate must be able to speak and hear at normal levels, see with close vision, distance vision, color vision, peripheral vision, depth perception, and have the ability to adjust focus. Individuals must be able to use hands and fingers to operate tools, motorized equipment, and other construction equipment. Must be able to lift/and or move up to 50 lbs. Job Type Full-time Pay The range for this role is anticipated to be $150,000 - $170,000 annually with bonus for eligible positions. Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location. Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short & Long Term Disability
401(k) plus Matching Contributions
Tuition Assistance
Referral Bonus
Generous Paid Time Off
Ten Paid Holidays
OPAL Fuels LLC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. OPAL Fuels does not accept unsolicited resumes from third-party recruiters or agencies without a current signed agreement and written confirmation specifying the roles for which submissions are authorized. Any resumes submitted without an agreement and authorization will be considered the property of OPAL Fuels . Originally posted on Himalayas
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Job Title: ED, Portfolio Prioritization & Value Realization Lead Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level:
Job ID REQ-10086148
Aug 21, 2026
USA
Summary
This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. What if you could help shape how one of the world's leading healthcare companies prioritizes transformational investments and realizes measurable business impact? As the ED, Portfolio Prioritization & Value Realization Lead, you will play a pivotal role in ensuring Novartis' most strategic transformation initiatives receive the focus, resources, and governance needed to deliver meaningful outcomes. Working across senior leaders, Finance, Strategy, Technology, and business functions, you will drive portfolio decisions, create transparency around value realization, and help translate bold ambitions into sustainable results. This is a unique opportunity to influence enterprise-wide priorities, accelerate innovation, and help build the future of how Novartis operates.
About the Role
Key Responsibilities:
Lead the integrated transformation portfolio across priorities, capacity, value, dependencies, risk, and readiness.
Drive portfolio prioritization decisions to maximize business impact and strategic value realization.
Recommend sequencing and investment trade-offs to optimize transformation outcomes and resource allocation.
Establish and govern enterprise-wide value realization frameworks, metrics, and benefit tracking processes.
Partner with Finance to validate business cases, benefit assumptions, baselines, and performance measures.
Deliver actionable portfolio insights and scenario analyses to support executive decision-making.
Identify risks, value leakage, capacity constraints, and execution challenges; drive corrective actions.
Oversee artificial intelligence use case intake, triage, governance, and cross-functional review processes.
Foster alignment across Strategy, Finance, Technology, and business leaders on transformation priorities.
Build and lead a high-performing team that promotes rigor, transparency, and results-driven execution.
Essential Requirements:
Education: Bachelor's degree in business, finance, economics, analytics, life sciences, healthcare, engineering, technology, or related discipline required. MBA, MS, or equivalent advanced degree preferred.
12+ years of experience in portfolio management, enterprise PMO, transformation office, strategy execution, finance, consulting, business operations, or value-realization leadership.
Experience in pharma, biotech, healthcare, technology, or consulting organizations with high-volume intake, AI/digital case review, transformation funding, and benefits realization.
Proven ability to build portfolio governance, intake, prioritization logic, decision forums, value taxonomies, scorecards, and executive reporting for a complex transformation portfolio.
Experience challenging business cases, baselines, assumptions, benefit ownership, double-counting risk, capacity constraints, and readiness gaps.
Strong financial and analytical experience, including scenario analysis across value, capacity, timing, risk, dependencies, and investment trade-offs.
Ability to create fact-based transparency and force enterprise-level decisions when demand exceeds capacity or evidence does not support investment.
Portfolio prioritization; value-realization design; business-case challenge; financial acumen; KPI and benefits tracking; governance design; executive reporting; scenario modeling; stakeholder influence; risk and dependency management.
Desirable Requirements:
Experience partnering with Finance, Strategy, Commercial, Technology, P&O, Legal, ERC, and business leaders on prioritization and portfolio governance.
Experience with transformation analytics, Power BI/Tableau, portfolio management tools, AI-use-case triage, and product/Agile portfolio models.
Novartis Compensation Summary:
The salary for this position is expected to range between $236,600 and $439,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally. Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is curated by Lifelancer . Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. Please apply via Lifelancer platform to get connected to the application page and to find similar roles. Originally posted on Himalayas
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Business Intelligence Data Quality Data Visualization Google Workspace Microsoft Excel
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ADASIS APIs Auto Data Validation Data Quality Data Quality Validation
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Automation Data Quality Data analytics Data pipeline Database
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Position Overview The Chief Growth Officer (CGO) is responsible for driving the organization's overall growth strategy by identifying new business opportunities, expanding market presence, increasing revenue streams, and enhancing customer acquisition and retention. The CGO works cross-functionally across sales, marketing, partnerships, product, and operations to accelerate sustainable business growth and strengthen competitive positioning. Key Responsibilities Growth Strategy & Business Expansion Develop and execute enterprise-wide growth strategies aligned with organizational objectives. Identify new revenue opportunities, customer segments, and market expansion initiatives. Drive sustainable growth through innovation, strategic partnerships, and business development. Revenue Growth & Market Development Lead initiatives to increase revenue, market share, and profitability. Analyze market trends, customer behavior, and competitive landscapes to identify growth opportunities. Develop go-to-market strategies for new products, services, and regions. Customer Acquisition & Retention Oversee customer acquisition, engagement, and retention strategies. Collaborate with marketing and sales teams to optimize conversion funnels and customer journeys. Drive initiatives that improve customer lifetime value and loyalty. Sales & Marketing Alignment Ensure alignment between sales, marketing, and business development functions. Develop performance-driven campaigns and lead generation strategies. Support brand positioning and market awareness initiatives. Partnerships & Strategic Alliances Build and manage strategic partnerships, alliances, and channel relationships. Identify opportunities for collaborations, joint ventures, and ecosystem growth. Strengthen relationships with key stakeholders and industry partners. Data Analytics & Performance Optimization Establish KPIs and dashboards to measure growth performance. Use analytics and market intelligence to guide strategic decisions. Continuously optimize acquisition, conversion, and revenue-generation efforts. Innovation & Digital Transformation Drive innovation initiatives and digital growth strategies. Leverage technology, automation, and data tools to improve scalability and efficiency. Stay informed on industry trends and emerging business models. Cross-Functional Leadership Collaborate with operations, finance, product, technology, and customer success teams. Ensure organizational alignment toward growth objectives. Lead high-impact strategic initiatives across departments. Leadership & Team Development Lead and mentor growth, marketing, sales, and business development teams. Build a high-performance, results-oriented culture. Foster innovation, accountability, and continuous improvement. Qualifications Bachelor's degree in Business Administration, Marketing, Finance, or related field; MBA preferred. 12–15+ years of experience in growth strategy, business development, sales, marketing, or executive leadership roles. Proven track record of driving revenue growth and market expansion. Strong understanding of customer acquisition, digital growth, and strategic partnerships. Key Skills & Competencies Strategic thinking and commercial acumen. Strong leadership and stakeholder management skills. Expertise in growth marketing and revenue optimization. Analytical and data-driven decision-making abilities. Excellent communication, negotiation, and relationship-building skills. Performance Metrics Revenue growth and profitability. Customer acquisition and retention rates. Market share expansion. Conversion and pipeline performance metrics. Success of strategic partnerships and growth initiatives. Originally posted on Himalayas
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About NFF Since 1996, Networking For Future, Inc. (NFF) has been engineering the backbone of mission-critical systems for government and enterprise clients. With headquarters in Washington, DC, we provide expert technology consulting and design-build solutions that solve complex challenges and deliver measurable real-world results. NFF is an ISO 27001:2022 and ISO 9001:2015 certified company. Our expertise includes solutions for Artificial Intelligence Enablement, Data Center & Cloud, Intelligent Networks, Secure, Connected IoT Technologies, Professional and Managed Services, Workforce Solutions and Zero Trust Strategies. NFF leverages a strategic portfolio of over 200 industry-leading technology brands to deliver precisely tailored solutions that align with each client's unique requirements and mission objectives. NFF is a Cisco Gold Integrator Partner, Splunk Partner, Arista Partner, Cohesity Partner, Apptega Partner, NetApp Gold Partner, VMware Enterprise Partner, Alloterra Labs Partner, Axis Communications Partner, Asimily Partner, Signify Partner, Rapid7 Partner, Foresite Partner, Arctic Wolf Partner, Microsoft Certified Silver Partner, and Dell Solution Provider Partner. NFF also holds GSA Schedule 47QTCA21D0047 and many other government contract vehicles. About this Position / Responsibilities
Design and develop enterprise cloud architectures, including compute, network, storage, security, and application integration components.
Develop and maintain comprehensive cloud architecture documentation, operational procedures, and technical standards to support cloud governance and long-term operational sustainability.
Assess existing cloud platforms, services, and configurations and identify opportunities for standardization, modernization, automation, and cost optimization.
Develop cloud operational runbooks, architecture artifacts, and support documentation to facilitate knowledge transfer and future operational transitions.
Create comprehensive cloud infrastructure designs and implementation roadmaps that align with business objectives.
Develop cloud governance frameworks, standards, policies, and best practices to ensure compliance, security, cost effectiveness, and operational consistency.
Evaluate and recommend cloud technologies, architecture patterns, and technology stacks that support innovation and modernization initiatives.
Develop cloud architecture and operational documentation that enables transition of cloud support responsibilities to future contracts, managed service providers, or personnel.
Implement, configure, and deploy cloud environments across enterprise platforms.
Lead migration efforts for existing applications, services, and data into cloud-based environments.
Document current-state and future-state cloud environments, including dependencies, integrations, security controls, governance processes, and operational procedures.
Integrate cloud-native services, including application services, serverless functions, containers, microservices, data orchestration tools, storage platforms, and cloud policy frameworks.
Monitor cloud infrastructure performance, availability, scalability, and security to ensure optimal operations.
Develop and implement cloud cost management strategies and resource optimization practices.
Troubleshoot and resolve complex cloud infrastructure, application, and integration issues.
Collaborate with developers, infrastructure teams, security teams, and network engineers to support cloud-based solutions and enterprise initiatives.
Coordinate software and infrastructure requirements with development teams to ensure successful deployment and operations.
Develop current-state ("As-Is") and future-state ("To-Be") cloud architecture documentation, including technical diagrams, workflows, and operational procedures.
Create architecture visualizations and technical documentation utilizing Microsoft Visio or similar modeling and visualization platforms.
Develop cloud performance, utilization, and cost management dashboards using Power BI or equivalent data visualization tools.
Provide technical leadership and guidance to project teams throughout the design, implementation, and operational lifecycle of cloud initiatives.
Analyze enterprise technology requirements and recommend solutions that support long-term strategic goals.
Support enterprise architecture governance processes and alignment with IT roadmaps and modernization strategies.
Develop and maintain the following work products:
Cloud architecture diagrams and technical designs.
Current-state ("As-Is") and future-state ("To-Be") architecture documentation.
Cloud governance standards, policies, and best-practice recommendations.
Cloud migration assessments and implementation recommendations.
Cloud infrastructure inventories and configuration documentation.
Cloud operational procedures and technical runbooks.
Cloud performance, utilization, and cost optimization dashboards.
Cloud security and compliance assessment documentation.
Architecture review findings and recommendations.
Knowledge transfer materials and technical documentation supporting continuity of operations and future transition activities.
Qualifications
Required 15 Years - At least 15 years of relevant experience in design, development, and implementation of information technology infrastructure.
Required 15 Years - 5 years specifically in enterprise cloud architecture.
Required 5 Years - Experience with aligning cloud strategies and technologies with enterprise architecture standards and IT roadmap.
Required 5 Years - Creating comprehensive cloud architectures, including network layouts, storage solutions, and computation of resources.
Required 5 Years - Experience developing visual dashboards of relevant raw data to support cost management with Power BI or other data visualization platform.
Required 5 Years - Experience in the transit industry
Required 3 Years - Experience implementing architectural patterns and designs for data analytics applications.
Bachelor's degree in computer science, information systems, or a related field
AWS Certification (Highly Desired)
NFF Disclosures NFF offers a competitive salary, comprehensive benefits and flexible paid time off options, for eligible employees:
Medical, Dental and Vision, Health Savings Account, Flexible Spending Account
STD, LTD, Supplemental life insurance and ADD&D
Comprehensive 401k plan
Paid Time Off
NFF is an Equal Opportunity Employer. Important Notice: All NFF Inc communications come from @nffinc.com. Emails from other domains claiming to be NFF are likely scams. Be cautious, verify senders, and report suspicious messages immediately. Originally posted on Himalayas
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Role Summary The Costing Engineer â Jigs & Fixtures is responsible for the end-to-end financial estimation of specialized tooling required for electronic assembly lines. This role involves analyzing technical drawings, calculating manufacturing costs for custom parts, and budgeting for complex automation components. The goal is to provide accurate "Should-Cost" models that ensure high-quality assembly solutions are delivered within budget. Core Responsibilities Component & Material Estimation Fabricated Parts: Calculate costs for metallic (Al, SS) and non-metallic (ESD plastics, Delrin) parts by evaluating material weight, machining cycles (CNC/VMC), and finishing processes. Bought-Out Items: Source and maintain price benchmarks for: Mechanical: Bearings, linear rails, and precision slide ways. Pneumatics: Cylinders, DCV valves, and manifold systems. Automation: PLCs, sensors (proximity/optical), magnets, and HMI units. Electrical: Push buttons, switches, wiring harnesses, and connectors. Assembly & Validation Costing Estimate man-hours for mechanical assembly, pneumatic plumbing, and electrical wiring. Factor in costs for fixture testing, calibration, and $Cpk/Ppk$ validation runs. Strategic Financial Analysis Conduct Make vs. Buy analyses for custom fixture components. Perform Value Engineering (VA/VE) to suggest lower-cost alternatives for non-critical parts without sacrificing precision or safety. Maintain a live database of vendor quotes and historical cost data. Technical Requirements Education: B.E./B.Tech in Mechanical, Mechatronics, or Production Engineering. Experience: 3â5 years in costing, specifically within high-precision tooling or electronics assembly. Software Proficiency: * Advanced MS Excel (Macro/Pivot tables) and ERP systems (SAP/Oracle). Ability to view and measure parts using CAD software (SolidWorks/AutoCAD). Process Knowledge: Deep understanding of milling, turning, grinding, and surface treatments. KEY PERFORMANCE INDICATORS (KPIs) Estimation Accuracy: Variance between estimated cost and actual procurement cost. Turnaround Time: Speed of providing quotes for new assembly line projects. Cost Savings: Success in identifying 5-10 %$ annual savings through Value Engineering. BEHAVIORAL COMPETENCIES High attention to detail (zero-error mindset). Strong negotiation skills for dealing with external vendors. Ability to collaborate effectively between Design, Procurement, and Finance teams. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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About Octopus by RTG Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group , dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities. Job Overview We are currently partnering with a strategic client in the UAE and are actively expanding their team. We are looking for a skilled Optimizely Developer who will spearhead the technical aspects of building a portal project, working closely with a Senior Project Manager, Solutions Architect, and Product Owner. You will guide the development team, managed by a Scrum Master, in implementing Optimizely solutions that meet project requirements and business goals. Your expertise in Optimizely’s suite of products will be crucial in architecting, developing, and optimizing a high-performing, scalable portal. Key Responsibilities
Technical Leadership: Serve as the expert in Optimizely for the project, leading the technical design and development of the portal.
Solution Architecture: Collaborate with the Architect & Dev Lead to design a robust, scalable architecture that leverages Optimizely’s capabilities to meet business needs.
Development Oversight: Guide the development team in best practices for Optimizely implementation, ensuring high-quality code and performance.
Collaboration and Integration: Work alongside the Senior Project Manager, Product Owner, and Scrum Master to ensure seamless integration of Optimizely solutions with other project components.
Performance Optimization: Optimize the performance of the portal, ensuring it meets the technical and business performance benchmarks.
Quality Assurance: Oversee testing and quality assurance, aligning with the project’s quality standards and requirements.
Stakeholder Engagement: Communicate effectively with all project stakeholders, providing technical insights and progress updates.
Continuous Improvement: Stay updated with the latest Optimizely features and industry trends, applying this knowledge to enhance project outcomes.
Requirements
Bachelor’s degree in Computer Science, IT, or related field.
Extensive experience with Optimizely platform, including CMS and Commerce.
Proven track record as a Technical Lead in large-scale web portal projects.
Strong understanding of web technologies, including .NET, C#, ASP.NET MVC, JavaScript, and cloud platforms.
Experience in Agile development environments, working closely with Scrum teams.
Excellent problem-solving, communication, and leadership skills.
Certification in Optimizely (e.g., Optimizely Developer Certification) is highly desirable.
Familiarity with integration of third-party services and APIs in the Optimizely platform.
Additions
Innovation and Strategy: Drive innovative solutions within the project, leveraging Optimizely to enhance user experience and business value.
Training and Mentorship: Provide training and mentorship to team members on Optimizely, raising their competency levels.
Risk Management: Identify technical risks and work collaboratively to develop and implement mitigation strategies.
Vendor Liaison: Act as the primary technical contact for Optimizely, managing relationships and ensuring support and service meet project needs.
Originally posted on Himalayas
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About the role For more than 60 years, Complex has been known for delivering award winning construction projects across the built environment. Our skillful execution of quality projects is an expression of our personal and professional commitment to connecting and enhancing communities. We are looking for a Lead Estimator, this role will provide support and technical advice to our estimating team, deliver accurate, competitive, and well-documented cost estimates for civil & construction projects, while also providing oversight and tender coordination to the estimating team. The Lead Estimator is a critical role that remains hands-on in the preparation of tenders while contributing to pricing strategy, subcontractor engagement, and achieving tendering milestones. Key responsibilities Prepare accurate and competitive cost estimates, budgets, and scopes of work for civil construction tenders Review tender documentation (drawings, specifications, RFTs, contracts) to confirm scope, risks, and opportunities Conduct and/or coordinate site inspections to assess conditions and identify construction risks Perform and review quantity take-offs using Benchmark, Revu, and Excel Prepare detailed cost build-ups, subcontractor comparisons, and pricing reconciliations Analyse historical project data to support pricing accuracy and continuous improvement Promote consistent estimating methodologies, tools, and documentation standards Maintain effective working relationships with key subcontractors and suppliers About you Minimum 5 years' experience in commercial construction / civil infrastructure estimating Demonstrated experience preparing and leading complex civil tenders Strong understanding of civil, building and construction methodologies, contract review and risk identification, and cost planning and pricing strategy Proven ability to mentor and support junior and mid-level estimators High-level competency in Benchmark, Bluebeam Revu, Microsoft Excel, and Microsoft Project (Intermediate level) Ability to manage multiple tenders and competing deadlines Strong written and verbal communication skills Well-developed interpersonal, negotiation, and organisational skills If this sounds like you please APPLY reach out to Ebony Ison, ebony.ison@complexco.com.au This role is also advertised on SEEK Lead Estimator Job in Canberra ACT - SEEK This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Path Robotics, Inc (We're Hiring!) Actively Hiring We develop and advance state-of-the-art methods to solve general problems B2B Scale Stage Top Investors +2 Save Apply Now Senior Machine Learning Engineer (Reinforcement Learning/World Model) Remote ( United States ) • Columbus |Full Time Posted: 1 month ago Job Location Columbus Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Stephanie Daetwyler Admin/HR Columbus About the job Build the Path Forward At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use. Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together. Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions. We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones. We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality. We are hiring two Senior Machine Learning Engineers with complementary specializations: Senior Machine Learning Engineer, World Models Senior Machine Learning Engineer, Reinforcement Learning Senior ML Engineer, World Models What You’ll Do Build action-conditioned world models that predict how the welding process evolves under changes to robot motion and process parameters. Model relationships among inputs, system state, physical dynamics, and resulting weld quality. Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters. Explore latent dynamics, video prediction, generative modeling, and spatiotemporal representations. Improve long-horizon rollout accuracy, physical plausibility, temporal consistency, and computational efficiency. Quantify model uncertainty and identify conditions under which predictions are unreliable. Validate learned predictions against real-world welding data. Integrate the model into RL, planning, process-optimization, evaluation, and synthetic-data workflows. Prevent downstream optimization systems from exploiting inaccuracies in the learned model. Translate promising research into scalable training and inference systems. Senior ML Engineer, Reinforcement Learning What You’ll Do Develop reinforcement learning approaches for optimizing welding decisions and process outcomes. Define state, observation, action, and reward representations based on measurable manufacturing objectives. Train and evaluate policies using learned world models, traditional simulation, offline datasets, and controlled real-world experiments. Develop offline, model-based, or constrained RL methods suitable for limited and expensive physical interaction. Optimize across competing objectives such as weld quality, cycle time, reliability, energy use, and equipment constraints. Design methods that account for uncertainty, distribution shift, delayed outcomes, and sparse or imperfect reward signals. Diagnose reward exploitation, unsafe behavior, policy instability, and model exploitation. Establish reliable offline and real-world policy evaluation methods. Partner with controls, welding, robotics, world-model, data, and ML infrastructure engineers. Translate research prototypes into dependable training, evaluation, and deployment systems. Who You Are Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience. Experience developing and deploying reinforcement learning algorithms on real-world systems. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with simulation environments (e.g., MuJoCo, Isaac Gym). Solid understanding of probability, statistics, and optimization. Experience with training and deploying ML models in production systems. Why You'll Love It Here Daily free lunch to keep you fueled and connected with the team Flexible PTO so you can take the time you need, when you need it Comprehensive medical, dental, and vision coverage 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total) 401(k) retirement plan through Empower Generous employee referral bonuses—help us grow our team! Who We Are At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours. Apply Now About the company Path Robotics, Inc (We're Hiring!) Actively Hiring We develop and advance state-of-the-art methods to solve general problems 201-500 Employees Columbus 201-500 Startup Manufacturing Robotics Machine Learning Artificial Intelligence Software B2B Scale Stage Top Investors 4.4 Highly rated 4.2 Work / Life Balance Learn more about Path Robotics, Inc (We're Hiring!) Funding AMOUNT RAISED $15M FUNDED OVER 2 rounds Rounds A $12500000 Series A - Dec 2018 +1 View Path Robotics, Inc (We're Hiring!)'s funding history For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Do you want to work for a fantastic company? Then read on... Job Summary WennSoft is hiring a Senior AI-First Full-Stack Developer to help build FORGE Job Cost, a new cloud-based Job Cost product within the FORGE product suite. FORGE Job Cost is being built as WennSoft ’s own modern, multi-tenant SaaS web application based on Microsoft Azure and Azure AI Foundry. The product will integrate with Microsoft Dynamics 365 Business Central, Microsoft Power Platform, and related Microsoft technologies, but the core solution is WennSoft ’s own cloud application, not a Power Platform-only product. This is a hands-on development role for someone who wants to build business-critical financial and operational software in a complex ERP, finance, accounting, and job cost domain. Customers depend on this product for accurate financial, operational, and reporting data, so quality, security, scalability, data integrity, tenant isolation, integration reliability, and auditability are essential. This developer is not expected to be the Product Manager, Business Analyst, or accounting subject-matter expert. Product Management and domain experts own the what, why, customer value, business rules, priorities, requirements, and acceptance criteria. The developer owns the how: technical design, full-stack implementation, data model implementation, API and integration design, AI-assisted development, testing, security, tenant isolation, maintainability, and delivery execution. Job Description In the USA, this job profile is EXEMPT and will be not eligible for paid overtime. If you are unsure of what job profile to choose please contact your HR Partner. WennSoft is hiring a Senior AI-First Full-Stack Developer to help build FORGE Job Cost, a new cloud-based Job Cost product within the FORGE product suite. FORGE Job Cost is being built as WennSoft ’s own modern, multi-tenant SaaS web application based on Microsoft Azure and Azure AI Foundry. The product will integrate with Microsoft Dynamics 365 Business Central, Microsoft Power Platform, and related Microsoft technologies, but the core solution is WennSoft ’s own cloud application, not a Power Platform-only product. This is a hands-on development role for someone who wants to build business-critical financial and operational software in a complex ERP, finance, accounting, and job cost domain. Customers depend on this product for accurate financial, operational, and reporting data, so quality, security, scalability, data integrity, tenant isolation, integration reliability, and auditability are essential. This developer is not expected to be the Product Manager, Business Analyst, or accounting subject-matter expert. Product Management and domain experts own the what, why, customer value, business rules, priorities, requirements, and acceptance criteria. The developer owns the how: technical design, full-stack implementation, data model implementation, API and integration design, AI-assisted development, testing, security, tenant isolation, maintainability, and delivery execution. Key Responsibilities:
Design, build, test, and maintain features for FORGE Job Cost, WennSoft ’s modern cloud-based Job Cost web application. • Develop scalable, secure, multi-tenant SaaS capabilities using Microsoft Azure, Azure AI Foundry, APIs, modern web application patterns, and related technologies. • Translate product requirements, business rules, acceptance criteria, and domain input into reliable working software. • Own technical design, full-stack implementation, data model implementation, API and integration design, testing approach, security implementation, tenant isolation, maintainability, performance, reliability, and technical documentation. • Build features that support job costing, project costing, cost codes, budgets, commitments, change orders, billing, payroll/time impacts, reporting, and ERP integrations. • Design and implement integrations with Microsoft Business Central, Microsoft Power Platform, Dynamics-related services, APIs, reporting tools, and other business systems. • Identify technical risks, integration risks, edge cases, data quality concerns, scalability issues, and security risks before they become customer problems. • Use AI-generated code responsibly by validating, testing, reviewing, securing, and refactoring it before it becomes part of the product. • Partner with Product Management, ERP/accounting domain experts, QA, engineering leadership, implementation, support, and customer-facing teams.
Worker Type Regular Number of Openings Available 1 Are you up for the challenge? Then click apply Originally posted on Himalayas
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Vistara Group Apply now Share This Job Get a rok.co short link Vistara Group is hiring a Remote Across all departments Not Just Real Estateâ¦. Building a Community Experience | Vistara Group Vistara Group is an integrated real estate development company building businesses and experiences across multiple verticals â Industrial Parks, Farmhouses and Residential Real Estate. But we aspire to build much more than real estate. Our vision is to build Vistara into the Tatas of real estate â a brand synonymous with Trust, Transparency, Ethics, Excellence and Long-Term Value Creation. Our Five Core Values Define The Way We Work TRUST â We believe credibility is built through transparency and doing the right thing, even when no one is watching. SPEED OF GROWTH â We believe in moving fast, executing faster and delivering what we promise. Our philosophy is simple: Build Fast. Build Fabulous. WIN â Every relationship should create a win-win â for our customers, investors, partners, vendors and our people. EXCELLENCE â We donât aim to merely complete projects. We aim to create benchmarks in quality, design, execution and customer experience. X FACTOR â Every Vistara project must have something distinctive. We identify its unique potential and build around it to create exceptional value. From developing industrial parks that enable businesses to grow, to creating nature-led farmhouse communities, to building premium residential spaces, we are building a diverse real estate platform with a long-term vision. And we are just getting started. We are looking for ambitious, ethical and entrepreneurial people who want to build something meaningful â not just work for a company. If you are someone who believes in taking ownership, moving fast, thinking differently and creating excellence, there is a place for you at Vistara. Come build with us. Vistara Group Build Fast. Build Fabulous. Salary and compensation Upgrade to Premium to see salary and compensation for all jobs. Location Ahmedabad, This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Not Just Real Estateâ¦. Building a Community Experience | Vistara Group Vistara Group is an integrated real estate development company building businesses and experiences across multiple verticals â Industrial Parks, Farmhouses and Residential Real Estate. But we aspire to build much more than real estate. Our vision is to build Vistara into the Tatas of real estate â a brand synonymous with Trust, Transparency, Ethics, Excellence and Long-Term Value Creation. Our five core values define the way we work: TRUST â We believe credibility is built through transparency and doing the right thing, even when no one is watching. SPEED OF GROWTH â We believe in moving fast, executing faster and delivering what we promise. Our philosophy is simple: Build Fast. Build Fabulous. WIN â Every relationship should create a win-win â for our customers, investors, partners, vendors and our people. EXCELLENCE â We donât aim to merely complete projects. We aim to create benchmarks in quality, design, execution and customer experience. X FACTOR â Every Vistara project must have something distinctive. We identify its unique potential and build around it to create exceptional value. From developing industrial parks that enable businesses to grow, to creating nature-led farmhouse communities, to building premium residential spaces, we are building a diverse real estate platform with a long-term vision. And we are just getting started. We are looking for ambitious, ethical and entrepreneurial people who want to build something meaningful â not just work for a company. If you are someone who believes in taking ownership, moving fast, thinking differently and creating excellence, there is a place for you at Vistara. Come build with us. Vistara Group Build Fast. Build Fabulous. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Education Perfect is an EdTech platform designed to empower educators and amplify their impact in the classroom. We aim to enable teachers to personalise learning at scale with powerful learning, assessment, and insights tools, helping them and their students reach their full potential. We are looking for VCE Certified Teachers to support the validation of VCE Legal Studies Question sets and Moderation work. In this contract-based role, you will have the opportunity to thoroughly check and provide feedback on sample sets of questions, stimulus, marking rubrics and learning guides for VCE Legal Studies and/or moderate student responses to further support AI functionality. The project will commence in September. Across the duration of the contract, we anticipate approximately 20 hours of work to complete the question set reviews and moderation activities. This is a contract-based opportunity, with payment structured per deliverable as follows:
Onboarding: $60 AUD
Question Set Reviews: $240 AUD per question set (3 question sets in total). Each review will involve checking questions, learning outcomes, stimulus texts, marking rubrics and learning guides and providing clear suggestions and feedback
Moderation: $550 AUD bulk payment. This will involve marking sample student responses and providing feedback on responses within the Exam Revision content
This opportunity might suit you if:
You have at least three years experience teaching VCE Legal Studies at years 11 and 12
You are experienced in peer-checking educational content and providing feedback to others
You have strong attention to detail
You are tech-savvy and enjoy working with technology
If you’d like to be part of this exciting opportunity, please apply online with your resume along with a brief cover letter outlining your suitability and experience. Originally posted on Himalayas
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Overview Responsible for day-to-day SRO completion, downstream and upstream SNR maintenance and repair, troubleshooting and repair of all aspects of the HFC network from the node to the end of line, HFC (Hybrid Fibre Coaxial) node activation. RF alignment, node power supply troubleshooting, Outside Plant Construction (consisting of Aerial and Underground infrastructure), including new builds to support HFC plant extensions, FTTH Developments and Commercial Installations, installation and activation of new Outside Plant passive and active devices, construction of underground chambers inclusive of underground enclosures. This role also supports the requirements for mean time to repair Outside Plant faults/outages on the HFC and fibre transmission network. Responsibilities Troubleshoot, locate, and rectify reports of system deficiencies on the HFC Network. Recognize, troubleshoot, and repair ingress/egress events which are adversely affecting node SNR performance to meet Outside Plant KPIâs. Ensure overall system performance and picture quality by maintaining nodes and distribution amplifiers, passive devices in accordance with design specifications. Perform quality control tests and checks in the HFC Network. Replace defective Outside Plant, Network equipment that contributes to RF degradation in the HFC Network. Activate and align HFC network equipment, including distribution active devices. Read, understand, and interpret fibre designs. Timely troubleshooting of service impacting, HFC Network outages to meet Outside Plant Reliability KPIâs. Regular, consistent, and punctual attendance at work. Operate company vehicles in a safe and responsible manner. Communicate with NOC Support and all relevant personnel in a timely manner, during Network restoration activity. Timely completion of construction activity and daily assigned tasks. Timely completion of Outside Plant commercial installation construction requirements. Timely completion of construction repairs and requirements for restorations to the fibre network. Timely completion of construction repairs and requirements for restorations of the Aliv fibre transmission network. Respond to utility pole transfers or relocation requests. Oversee and maintain contractor relations to ensure the timely completion of projects. Provide Support to Network Design Team for RFP site survey details as well as any new additions or changes to the Outside Plant. Work in conjunction with other utility Companies and private contractors for coordination of request requirements (to include, but not limited to utility locate requests). Ensure all OSP construction activity is of high quality and meets installation guidelines. Be responsive and professional in addressing escalated customer service issues. Coordinate the availability of as-built aerial construction designs upon completion of network buildouts for new trunk, distribution, and service drop layouts. Maintain all company assigned assets (inclusive of but not limited to test equipment, tablets and specialized tools). Participate in Department training initiatives and requirements. Submit purchase order requisitions and return of receipts for vendor invoices. Ability to work flexible hours including nights, weekends, and holidays as necessary. Ability to travel to inter Family Islands to complete/respond to Engineering work requirements. Properly maintain company assigned vehicle interior/exterior and assigned test equipment. Operate company vehicles in a safe and responsible manner. Adhere to all company safety policies. Communicate with upper Management on all relevant reporting requirements in a timely manner. Participate in the On Call rotation schedule. Adhere to Cable Bahamas Health & Safety policies, processes, and procedures. Perform any other related duties associated with the daily functions of the Engineering Department as assigned by Management. Qualifications Up to a minimum of 5 yearsâ experience in the cable industry with knowledge of Outside Plant Operations (inclusive of but not limited to, Installation, Service, Construction, Preventative Maintenance of a HFC Network and fibre network topology. Minimum of an Associate Degree or Certification in Construction, HFC or Fiber. Must have a basic knowledge of Microsoft application. Good communication and organizational skills . Ability to consistently display a high level of both internal and external customer service and interpersonal competencies. Must exhibit the ability to function independently in a safe, efficient manner and assume increased responsibilities as necessary to drive improved NPS . Must have physical dexterity for pole climbing and working in all weather conditions. Acceptable physical condition to enable crawling, bending, stooping, kneeling, crouching, reaching, pulling, pushing, grasping, climbing, lifting 75 pounds, working with general hand tools and a 32-foot ladder. Willingness to learn about all aspects of business. Ability to work flexible hours including nights, weekends, and holidays as necessary. Ability to travel to inter Family Islands to complete/respond to Engineering work requirements . Participate in the On Call rotation schedule. NCTI training or similar accreditation in Engineering/Electronics is an asset A valid driverâs license and acceptable driving record. A positive and professional manner and appearance are essential. Work Experience Up to a minimum of 5 yearsâ experience in the cable industry with knowledge of Outside Plant Operations (inclusive of but not limited to, Installation, Service, Construction, Preventative Maintenance of a HFC Network and fibre network topology. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Headquarters: New York, New York, United States Job description About Trafilea Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint. Mission We’re looking for a Product Manager – AI Personalization to own and evolve our TrafiPersonalization Engine , a hybrid platform combining Machine Learning models, Generative AI, and rules-based logic to deliver real-time, cross-channel personalized experiences across our ecosystem. This is a high-ownership platform role at the intersection of MarTech, ML infrastructure, and Generative AI applications . Transform behavioral data and product signals into intelligent, scalable personalization that drives CVR, AOV, and retention across PDP, checkout, email, loyalty flows, and beyond. You’ll partner with Data Science, AI Engineers, CRM, and Growth PMs to define, ship, and scale personalization use cases — from product recommendations to AI-generated messaging and dynamic experiences. What You’ll Own AI & Personalization Deploy ML and Generative AI use cases (LLMs, embeddings, prompt-based systems). Design personalized prompts, smart product bundles, dynamic flows, and AI-driven messaging. Define behavioral inputs, decision logic, and fallback strategies. Architecture & Platform Own the vision and roadmap for the TrafiPersonalization Engine. Translate business needs into rules logic, APIs, event triggers, and scalable data schemas. Ensure real-time personalization across web, CRM, checkout, and lifecycle systems. Business Impact Partner with Growth teams to launch high-ROI personalization initiatives. Define experimentation scope and KPI tracking (CVR uplift, RPV, CTR, LTV). Enable lifecycle and funnel teams to personalize at scale. Cross-Functional Leadership Act as orchestrator across Engineering, Data Science, CRM, UX, and Analytics. Drive rollout plans, QA strategy, documentation, and adoption. Evangelize personalization strategy across brands and squads. Job requirements What We’re Looking For 5+ years in Product Management, ideally in personalization, MarTech, or growth tech stacks . Experience working with AI-Gen models, ML systems, recommendation engines, or personalization platforms . Strong understanding of CDPs (Segment, mParticle), behavioral data modeling, and decisioning logic. Experience defining experimentation frameworks and tracking business impact. Systems thinker who can design architecture and execute at feature level. Strong documentation and async communication skills. Experience in multi-brand, fast-paced eCommerce or SaaS environments. Nice to have: Hands-on familiarity with Segment, Klaviyo, Shopify APIs, Contentful, GA4, Amplitude, or Mixpanel. Why This Role Is Exciting You’ll build the foundation of AI-driven personalization across global brands — shaping how millions of users experience our ecosystem. This isn’t incremental optimization. This is building the personalization engine of the future. All done! Your application has been successfully submitted! Other jobs To apply: https://weworkremotely.com/remote-jobs/trafilea-product-manager-ai-personalization
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Headquarters: Austin, TX, USA Company Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ Job Description Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio. Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis. Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts. Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service. Support demand generation campaigns with compelling assets aligned to key personas: AI/ML engineers, platform ops teams, and infrastructure decision-makers. Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and ROI frameworks. Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content. Support product launches with go-to-market plans, launch kits, and internal training materials. Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy. Support analyst and media briefings; contribute to Mirantis’ positioning in key industry conversations and reports. Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource. Qualifications Required Qualifications 4–7 years of experience in product marketing, technical marketing, or a closely adjacent role (solutions marketing, developer marketing, content strategy) within the cloud infrastructure, DevOps, or enterprise software space. Demonstrated ability to understand and credibly communicate complex technical concepts related to: Kubernetes, container orchestration, and cloud-native platforms AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling Hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure Strong writing and storytelling skills — able to produce clear, engaging content for both technical and business audiences without heavy editing. Experience developing sales enablement materials and working directly with sales and pre-sales teams. Familiarity with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems (e.g., Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp). Comfort working in a fast-paced, distributed environment with a high degree of autonomy. Soft Skills and Team Fit Intellectually curious with a genuine interest in how AI infrastructure works under the hood. Strong cross-functional collaborator — comfortable engaging with engineers, product managers, and executives alike. Structured thinker who can manage multiple projects and deadlines without losing narrative coherence. Passion for open source, developer communities, and the cloud-native ecosystem. Entrepreneurial mindset with a bias toward shipping content and iterating quickly. Nice to Have Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling. Background in or exposure to AI/ML engineering, DevOps, or platform engineering. Prior experience in or familiarity with companies like RunPod, SpectroCloud, Rafay, Anyscale, Hugging Face, Together AI, or Modal. Experience supporting analyst relations or contributing to industry research and reports. CNCF ecosystem knowledge or cloud/Kubernetes certifications a plus. Additional Information What does Mirantis offer you? Work with an established Silicon Valley leader in the cloud infrastructure industry. Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. Be a part of cutting-edge, open-source innovation. Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. Receive a competitive compensation package with strong benefits plan We are a Leader for Container Management in G2 (#2 after AWS)! To apply: https://weworkremotely.com/remote-jobs/mirantis-technical-product-marketer-k0rdent-ai
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Seeq | https://seeq.com | Staff/Principal Software Engineer (Full-Stack, AI, Backend, Platform) | REMOTE (Some crossover w/ PST required) | Full-time | $170k-$205k + annual cash bonus + equity. Salary range for US-based; local adjustments for other countries.
Seeq creates cutting-edge data analytics software for industrial process data, serving sectors like pharmaceuticals, energy, and manufacturing. Our core product is a robust calculation engine capable of executing advanced math and machine learning algorithms on streaming time-series data. By leveraging generative AI, we enhance usability and accelerate outcomes for our users. We've built up a great remote culture (e.g. annual meetups, home office allowance, generous PTO, a remote office app we created to collaborate) and a dev team that enjoys tackling hard problems that make a difference for our customers (dev blog for more: https://geeq.seeq.com/ ). Be sure to mention that you came from Hacker News in your application! Staff/Principal Backend Software Engineer (JVM, Postgres): https://apply.workable.com/seeq/j/CDBF1AE73C Staff Full-Stack (React, Python, AI Technologies): https://apply.workable.com/seeq/j/1378093793 Staff/Principal Full-Stack (React, JVM, Postgres): https://apply.workable.com/seeq/j/610FB07CEB Senior Full-Stack (React, JVM, Postgres): https://apply.workable.com/seeq/j/763AE68666 Staff Frontend Design Systems Engineer (React, Tailwind, UX): https://apply.workable.com/seeq/j/B3E0E9645D/ Staff Software Engineer - Developer Experience (Gradle, Kubernetes, Devex): https://apply.workable.com/seeq/j/A966C8897D/ Staff/Principal Software Engineer - Platform (Kubernetes, Terraform, Grafana): https://apply.workable.com/seeq/j/FD4C7FD4F3
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GovStar | https://govstar.us | REMOTE — United States, Eastern or Central Time Zones | Full-time - https://www.govstar.us GovStar builds emerging-technology solutions supporting U.S. national-security missions. We are hiring senior, hands-on engineers for several roles: AI Engineer - Python, production LLM applications, APIs, Azure AI services, PostgreSQL, React/TypeScript helpful. AI Kubernetes Engineer - Kubernetes, Terraform, production LLM serving, GPUs, Helm, observability, Python or Go, Azure/AWS. AI Cloud Platform Engineer - Azure/AWS, Terraform, Kubernetes, networking, identity, security, observability, CI/CD and regulated cloud environments. Requirements: U.S. citizenship; currently residing in the United States' Eastern or Central Time Zone; ability to obtain a DHS Public Trust; strong hands-on engineering experience; at least 10 years professional engineering experience These are individual-contributor roles for engineers who want to remain close
to the code and infrastructure. Compensation is competitive and determined by experience and demonstrated technical capability. We are happy to discuss the compensation structure early in the interview process. To apply, please email your resume and GitHub profile to nicholas.hanson@govstar.us Please mention “Hacker News” and the specific role in the subject line.
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Headquarters: Remote, Ontario, Canada We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: Cluster Linking is how Kafka clusters are replicated, and it sits at the very core of Confluent. When a global bank architects zero-data-loss disaster recovery, when an enterprise migrates petabytes off open-source Kafka, or when a multinational replicates event streams across three continents, they're running on Cluster Linking. This role will define the future of Cluster Linking: how we deliver seamless disaster recovery for Kafka workloads, how we build self-service migration paths into Confluent Cloud, and how we enable cross-organization data sharing to power real-time, operational data exchanges. Cluster Linking is one of Confluent's fastest-growing platform products and you'll own that growth. Our largest customers depend on it, and because it cuts across Kafka, cloud infrastructure, networking, and security, your work will have visibility and influence across the company. What You Will Do: Launch and drive adoption for our one-click DR initiative. Take disaster recovery from a manually configured capability to a seamless, productized experience that customers can adopt with confidence. Define the future of real-time stream sharing across organizations, including its security model, networking, access controls, and how it scales across organizations and use cases. Power capabilities that let customers migrate to Confluent in a few clicks or API calls. Define the art of the possible and make the migration path a reason to choose Confluent. Segment and re-package Cluster Linking. The product serves Disaster Recovery, migrations, data sharing, and cross-cloud replication, each with different customer needs and pricing dynamics. Define how we package, price, and position each so the offering works for customers and drives growth. Partner closely with your engineering manager counterpart as a strategic partner. Use that partnership to understand tradeoffs, make decisions fast, and keep the product moving forward. Work directly with customers. You'll be pulled in many directions, customers will ask a lot of you. Your job is to steer them toward the right architectures and models, get them excited about what's coming, listen to what they need next, and balance the present opportunity with where the product is headed. Drive results. Run campaigns with sellers and solutions engineers, lead webinars, assemble teams of subject matter experts, and do what it takes to move your priorities forward. Influence and energize the people around you. Confluent moves fast and people are ready to help. Harness that, get teams excited, rally cross-functional support, and turn organizational momentum into product momentum. What You Will Bring: 5+ years of product management experience, ideally in infrastructure, data platforms, or cloud products. You've shipped technical products and driven measurable outcomes. Genuine interest in distributed systems and cloud infrastructure. Kafka is not simple. You don't need prior Kafka expertise, but you need to be energized by technical depth, not put off by it. A results-driven mindset. You don't wait for things to happen, you make them happen. You get on calls with sellers, you pull in the right people, and you keep pushing until the work is done. Proven ability to influence. You get people excited and aligned, across engineering, field, sales, finance, and leadership, often without formal authority. Strong ownership mentality. You take responsibility from day one. You drive ambiguous problems to clarity, remove blockers, and treat the product like your own business. Business thinking beyond the backlog. You think about segmentation, packaging, pricing, and market impact, not just features. You understand that how a product is offered matters as much as what it does. Clear communication. You can make technical topics understandable for executive audiences, write sharp product docs, and present confidently to customers and leadership. LLM or GenAI knowledge is a bonus, but not required Ready to build what's next? Let’s get in motion. Come As You Are Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible. We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. To apply: https://weworkremotely.com/remote-jobs/confluent-senior-product-manager-cluster-linking
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Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is looking for a highly motivated Technical Leader to develop and enhance high-performing and scalable software solutions in Python, .NET, Machine Learning Engineering, Data Science, Data Engineering, JavaScript, and Java, among other technological challenges. We will only be considering candidates based in Latin America, as most of our engineers are based there. This position will give you the opportunity to collaborate with a growing team and bright engineering minds in software development, data, and AI. You will enjoy the role if you love designing and developing scalable, high-performance software solutions using Python, .NET, Java, JavaScript, and modern data technologies, and connecting applications to modern cloud-based technologies. Technical leaders take charge of technical teams. They typically ensure the smooth functioning of technical operations, monitor and evaluate staff progress, assist with training and recruitment, set goals, and ensure overall client satisfaction. Responsibilities: Define the architecture, deliverables, and timelines Lead your team through the scrum process to deliver valuable software solutions Create end goals for your team Delegate work and assignments to team members Collaborate with your team to identify and fix technical problems Supervise system modifications Conduct security audits to identify areas of improvement Liaise with team members, management, and clients to ensure projects are completed to standard Write progress reports and deliver presentations to stakeholders Hire and train technical personnel Requirements BS or Master’s degree in Computer Science, related degree, or equivalent experience 10+ years of experience with software development in Java, Python, .NET, JavaScript/NodeJS, or data technologies 7+ years of experience leading development teams Professional English proficiency (C1/C2) Deep expertise with Linux and hosted cloud environments (Heroku, AWS, App Engine, or others) Practical experience with open-source technologies, including SQL and NoSQL databases Experience integrating solutions with 3rd-party APIs (RESTful, OAuth, JSON) Self-driven and motivated, with a strong work ethic and a passion for problem-solving Strong experience with backend development, data systems, or scalable software architecture Benefits Company benefits include: Paid Time Off Mentored Career Development U.S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co To apply: https://weworkremotely.com/remote-jobs/azumo-technical-leader-latin-america
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Headquarters: Dominican Republic URL: http://azumo.com Description Azumo is currently looking for highly motivated Java Senior Engineers to develop and enhance high performing and scalable backend infrastructure used by millions of users. The position is fully remote based in Latin America . We will only be considering candidates based in Latin America, as most of our engineers are based there. This position will give you the opportunity to collaborate with a growing team and bright engineering minds. You will enjoy the role if you love designing and developing scalable, high performant backend infrastructure using enterprise class frameworks. Responsibilities: Design, develop and test robust Java APIs Evaluate multiple approaches and technologies to solving a problem Understand data pipeline needs and work with product managers to find solutions Compensation commensurate with experience and candidate potential. Requirements 4+ years experience with enterprise class frameworks (such as Spring Boot, Hibernate, Spring or any other Java enterprise class frameworks) Deep expertise in designing and building robust APIs Practical experience with open source technologies and products Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Benefits Company benefits include: Paid Time Off Mentored Career Development U.S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co To apply: https://weworkremotely.com/remote-jobs/azumo-java-engineer-latin-america
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Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks , both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Basic Qualifications: BS or Master’s degree in Computer Science, related degree, or equivalent experience 5+ years experience with data-related and data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing and visualizing data Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Preferred Qualifications: Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole Prior experience with notebooks using Jupyter, Google Collab, or similar. Benefits Company benefits include: Paid Time Off Mentored Career Development U.S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co To apply: https://weworkremotely.com/remote-jobs/azumo-data-engineer-latin-america
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Preferred Networks | Tokyo or Remote in Japan | Full-time | https://www.preferred.jp/en Preferred Networks is an AI company based in Tokyo working across the stack, from AI chips and computing infrastructure to LLMs and products. You may already know us indirectly if you've used software we've built, such as Optuna or CuPy (or Chainer, back in the day). We are designing in-house chips (MN-Core series: https://mn-core.com/ ) and training LLMs (PLaMo series: https://huggingface.co/pfnet ), and our team is actively hiring for two roles related to these endeavors: - MN-Core LLM Serving Engine Engineer: Build software infrastructure to serve LLMs using our upcoming inference accelerator, MN-Core L1000. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/121580 ] - LLM Inference Optimization Engineer: Improve the inference engine powering our API service and maintain PLaMo implementations in open source projects such as vLLM. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/119173 ] Both roles require relocation to Japan. We are happy to provide visa and relocation support.
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About The Role We are seeking an experienced AI Engineer to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM APIs and self-hosted open-source models, implementing RAG pipelines, and creating end-to-end LLM workflows. The ideal candidate combines practical experience integrating LLM APIs with technical expertise in deploying and optimizing local models. Key Responsibilities Design and implement high-throughput, low-latency serving architectures for LLM applications Build and maintain RAG pipelines and end-to-end LLM workflows Integrate and optimize commercial LLM APIs (OpenAI, Anthropic, Google, etc.) into production systems Develop prompt engineering techniques and prompt management systems Deploy and serve local open-source language models for specific use cases Optimize local model inference performance through efficient serving frameworks Fine-tune models to improve performance on domain-specific tasks ( Monitor and troubleshoot production LLM systems to ensure reliability Research and experiment with emerging models and techniques to improve system capabilities Document architectures, best practices, and technical decisions Collaborate with engineering teams to integrate LLM capabilities into products Communicate technical terms and recommendations to stakeholders Build evaluation frameworks to measure model quality, latency, cost, and user satisfaction Design intelligent routing and fallback strategies across multiple LLM providers Scale LLM services to handle production workloads efficiently Implement caching, batching, and request optimization strategies for both APIs and local models Experience Required Qualifications Solid 2+ years focused on LLM applications or chatbot development (Candidates with more experience will be considered for a senior role.) Proven track record of building production LLM applications Experience integrating and optimizing commercial LLM APIs Hands-on experience deploying local models in production environments Technical Skills Strong Python programming with emphasis on async/await patterns and production-quality code Deep understanding of transformer architectures and LLM fundamentals Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar) Familiarity with local open-source models (Qwen, Llama, Mistral, or similar) Experience with RAG implementation using LlamaIndex, LangChain or similar frameworks Proficiency with FastAPI for building high-performance APIs Experience with vector databases (Pinecone, Weaviate, Chroma, Milvus, or similar) Working knowledge of MongoDB or other NoSQL databases Experience with Docker containerization and deployment Good to have hands-on fine-tuning experience (LoRA, QLoRA, full fine-tuning) Familiarity with local model serving frameworks (vLLM, TGI, or similar) Familiarity with LLM workflow tracing and observability frameworks (MLflow, Phoenix, Langfuse, or similar) Familiarity with Hugging Face ecosystem and transformer libraries Experience with cloud platforms (AWS, GCP, or Azure) Proficiency with Git/GitHub and version control workflows Domain Knowledge Understanding of prompt engineering and optimization techniques Knowledge of LLM evaluation metrics and benchmarking methodologies Experience with cost optimization for LLM applications Familiarity with distributed computing and scaling strategies Understanding of LLM inference optimization (quantization, batching, caching) Preferred Qualifications Understanding of digital human technologies and multimodal applications Knowledge of MLOps practices and CI/CD for ML systems Experience with Kubernetes for container orchestration Experience with streaming inference and real-time applications Background in function calling and tool use with LLMs Familiarity with RLHF (Reinforcement Learning from Human Feedback) Experience with model distillation and knowledge compression Understanding of distributed training and GPU optimization Experience with multi-agent systems and LLM orchestration Soft Skills & Communication Excellent English communication skills (written and verbal) Excellent Chinese reading skill Ability to explain complex technical concepts to both technical and non-technical audiences Strong problem-solving and analytical thinking capabilities Self-motivated with ability to work independently and drive projects to completion Collaborative team player who thrives in fast-paced environments Passion for staying current with rapidly evolving LLM technologies Ability to balance research experimentation with production reliability requirements Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with: The role you're applying for Your availability Expected salary We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Technology, Information and Media Referrals increase your chances of interviewing at Pantheon Lab Limited by 2x See who you know
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Tata Consultancy Services provided pay range This range is provided by Tata Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range ₹10,000,000.00/yr - ₹20,000,000.00/yr Direct message the job poster from Tata Consultancy Services Cauvery Rajamanickam Cauvery Rajamanickam HR TAG (Talent Acquisition Specialist) @ Tata Consultancy Services | Boolean Search, Head Hunting, Stake hold Managment, C2H Role : Gen AI Exp : 6 + Location : Gurgaon, Noida,Bangalore,Hyderabad, BBSR, Pune, Kochi JD: Generative AI Developer to build an advanced RAG pipeline with agentic and multimodal capabilities for processing complex contract documents (PDFs with text, tables, and images). You'll work with open-source LLMs, build agent workflows with AgenticX/LangGraph , and design systems that combine vision and language models for deeper contract understanding. Key Responsibilities Build end-to-end RAG pipelines : parse → chunk → embed → retrieve → generate Develop agentic workflows using AgenticX , LangGraph , or custom orchestration Parse contract PDFs using layout-aware and OCR-based parsers (Unstructured, PyMuPDF, PDFPlumber) Enable multimodal processing (text + images/tables) using models like GPT-4V, LLaVA, Donut Integrate open-source models (Mistral, LLaMA3, Ollama) and vector databases (Milvus, FAISS, Qdrant) Build modular APIs (FastAPI) for Q&A, summarization, and classification across documents Optimize retrieval/generation for long-context and multi-document inputs Required Skills 6+ years in backend/ML; 1+ year in GenAI, RAG, or agentic architectures Strong Python skills; experience with LangChain , LlamaIndex , Haystack Deep experience in PDF parsing (text, tables, images) and chunking strategies Familiarity with multimodal models (e.g., GPT-4V, LLaVA, or equivalents) Hands-on with vector DBs, FastAPI, Redis/Postgres Understanding of legal/contract structure and NLP challenges Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tata Consultancy Services by 2x See who you know
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Our Purpose
At SentinelOne , we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne , your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne 's engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no. What Will You Do? Primary responsibilities include:
Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.
Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly.
Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built.
Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.
Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership.
Partner with IT, Security, and Data teams so every deployed application meets SentinelOne 's standards for data security, compliance, and long-term supportability.
Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.
Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.
What Skills and Knowledge Will You Bring? Ideal candidates will have:
8 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team.
Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns.
A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck.
Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you.
Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.
Why SentinelOne ? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards
Restricted Stock Units (RSUs)
Employee Stock Purchase Plan (ESPP)
Time Off & Wellbeing
Flexible time off
Paid company holidays and paid sick time
Gender-neutral parental leave
Grandparent leave
Insurance & Financial Security
Medical, dental, and vision coverage
401(k) retirement plan with company match
Life and disability insurance
Health and dependent care FSA
Voluntary benefits (hospital, accident, critical illness)
Employee Assistance Program (EAP)
ARAG pre-paid legal
Nationwide pet insurance
Cancer Care program
Global business travel medical insurance
Work Perks & Flexibility
Home office allowance
Mobile phone reimbursement
Wellness & Lifestyle
Wellness coach
Wellness/gym reimbursement
Fertility coverage
Adoption & surrogacy reimbursement
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$184,000—$253,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Originally posted on Himalayas
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Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI Save Apply Now Open Source AI Engineer (Typescript) $185k – $200k | Remote ( Everywhere ) |Full Time Posted: 4 weeks ago Hires remotely in Everywhere Visa Sponsorship Available Relocation Not Allowed About the job The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. We’re looking for an Open Source AI Engineer to join our growing OSS team to drive the development of new frameworks, metrics, and tooling that help people build, test, and improve LLM tasks. You’ll play a lead role in shaping how developers measure and understand performance in advanced AI systems, all in the open. What You’ll Work On Build LLM Observability Frameworks: Design, architect, and open-source new libraries, pipelines, and APIs that make it simpler to monitor, evaluate, and improve LLM output. Collaborate with the Community: Partner closely with the broader AI open source ecosystem, gather feedback, review pull requests, and steer the direction of the project to address real developer needs. Prototype and Iterate Rapidly: Experiment with state-of-the-art LLM techniques, turning research into practical developer tooling. Improve Observability and Debugging: Integrate with our existing platform to surface deeper insights on LLM behavior—help teams quickly diagnose and fix issues such as hallucinations or bias. Educate and Evangelize: Write blog posts, white papers, tutorials, and documentation to help developers succeed with our open source tools and grow the LLM eval community. What We’re Looking For We’re looking for an engineer who’s deeply passionate about AI, loves working in the open, and thrives in a fast-paced environment where “everyone wears multiple hats”. You likely share our core values: Open Source Champion: You believe collaboration and community-driven development unlocks the best innovations. Creative Problem Solver: You enjoy tackling ambiguous challenges and finding elegant technical solutions. Data & Metrics Driven: You value empirical results, enjoy creating or refining evaluation metrics, and iterate based on real-world feedback. Technically Curious: You’re always learning—exploring new LLM architectures, prompt engineering strategies, or emerging library standards. Builder Mindset: You relish the process of taking ideas from initial prototypes to production-ready solutions that delight users. Desired Skills & Experience Hands-on LLM Experience: Familiarity with popular LLM frameworks, prompt engineering techniques, and agent harnesses. Strong TypeScript Proficiency: You understand TypeScript and can write isomorphic code that executes seamlessly across clients, servers, and diverse edge runtimes. Open Source Track Record: Contributions to open source projects, personal GitHub repos with interesting AI demos, or a history of active engagement in developer communities. ML Observability & Tools: Familiarity with debugging AI applications, exploring embeddings, or building data-heavy dashboards is a plus. Why Work With Us Shape the Future of AI Evaluation: Be at the forefront of designing new ways to measure and improve next-generation LLMs. High Impact, Real Ownership: Join a team that values autonomy and speed. You’ll drive major initiatives from day one and see your work used by developers worldwide. Fully Remote, Flexible Environment: We are a fully remote company with offices in the Bay Area and NYC for those who prefer in-person collaboration. Cutting-Edge Challenges: Our platform already helps analyze millions of AI predictions daily, giving you the chance to refine your evaluation tooling on real, large-scale production workloads. Work With a Talented, Passionate Team: Collaborate closely with top engineers who are dedicated to making AI more transparent, reliable, and impactful. The estimated annual salary and variable compensation for this role is between $185,000 - $200,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. Apply Now About the company Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI 11-50 Employees Berkeley 11-50 Machine Learning Big Data Artificial Intelligence Big Data Analytics Distributed Systems Deep Learning Artificial Intelligence / Machine Learning Learn more about Arize AI Funding AMOUNT RAISED $38M FUNDED OVER 1 round Round B $38000000 Series B - Sep 2022 View Arize AI's funding history Founders Aparna Dhinakaran Founder View the team Similar Jobs Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Software Engineer $75k – $150k CAD • 0.0% – 0.1% Apply Hevo Data No Code Data Pipeline SDE III _ Tech Lead ₹30L – ₹60L Apply Carbon Trail AI powered sustainability platform for fashion and retail industry Founding Software Engineer ₹40L – ₹50L • 0.1% – 1.0% Apply Wynd Labs Making AI Data Accessible. 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Twin Health Actively Hiring Reverse chronic diseases and improve metabolic health using IoT sensors, ML B2C Scale Stage Top Investors Save Apply Now Staff AI Engineer $250k – $265k | Remote ( United States ) |Full Time Posted: 1 month ago Hires remotely in United States Remote Work Policy Remote only Company Location Mountain View • Chennai Visa Sponsorship Available Relocation Not Allowed About the job Opportunity We are seeking a Staff AI Engineer to join our Core AI team to shape the technical direction of our AI-driven product using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our Digital Twin AI, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health of our members every day. This is a senior technical leadership role for someone who wants to solve hard, ambiguous problems at the system level — not just within a single feature, but across the architecture, tooling, and standards that the whole Core AI team relies on. You'll set technical direction across multiple AI products, mentor senior engineers, and be the person others turn to when a problem doesn't have an obvious owner. Responsibilities Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications. Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams. Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations. Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end. Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches. Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base. Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports. Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build. Other duties as assigned. Qualifications 8+ years of industry experience developing AI and Machine Learning systems in production, with a track record of leading technical initiatives that span multiple teams or systems. Deep software engineering fundamentals: testing, CI/CD, system design, code review — with demonstrated experience designing evaluation infrastructure and shared tooling for LLM-based systems, not just using it. Proven experience setting technical direction and engineering standards at an organizational level, not just within a single team or codebase. Experience creating and scaling applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals in production. Track record of mentoring senior engineers and influencing technical decisions beyond your own project. Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc.) is a plus. Proficiency in Python and software engineering best practices at a level where you're often the one defining what "best practice" means for the team. Bachelor's or Master's degree in Computer Science, Statistics, or a related field. This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Compensation and Benefits The compensation range for this position is $250,000-$265,000 annually. Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin A competitive compensation package in line with leading technology companies A remote and accomplished global team Opportunity for equity participation Unlimited vacation with manager approval 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options 401k retirement savings plan Apply Now About the company Twin Health Actively Hiring Reverse chronic diseases and improve metabolic health using IoT sensors, ML 201-500 Employees Mountain View 201-500 Healthcare Health Care Information Technology Software Sensors Mobile Health Internet of Things Artificial Intelligence / Machine Learning B2C Scale Stage Top Investors Employees joined from Virta Health Teladoc Health Evolent Health Livongo Jasper Technologies Learn more about Twin Health Funding AMOUNT RAISED $183M FUNDED OVER 3 rounds Rounds C $140000000 Series C - Oct 2021 +2 View Twin Health's funding history Perks Health Plans We offer Medical, Dental, and Vision plans as well as Flexible Spending Accounts for health and dependent care Retirement We offer a 401k plan for retirement savings. Stock Options As an early employee, you may be offered pre-IPO stock options so that you can become an owner of the company and take part in Twin's company success. Holidays and Paid Time Off We have an unlimited PTO (Discretionary Time Off) policy; you can take time off as needed, as long as you discuss with your manager beforehand. In addition, we have 8 company-paid holidays per year. Hardware We provide you with all the hardware that you need to be effective. Standard setups include a MacBook Pro, 27-inch monitor, docking station, keyboard tray, wireless keyboard/mouse, etc. We also reimburse for any ergonomic equipment. 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Twin Health Actively Hiring Reverse chronic diseases and improve metabolic health using IoT sensors, ML B2C Scale Stage Top Investors Save Apply Now Senior AI Engineer $200k – $220k | Remote ( United States ) |Full Time Reposted: 2 months ago Hires remotely in United States Visa Sponsorship Available Relocation Allowed Hiring contact Mikala Bennett Employee About the job Opportunity We are seeking a Senior AI Engineer to join our Core AI team of AI Engineers and Data Scientists to take our AI-driven product to the next level using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our Digital Twin AI, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health of our members everyday. If you’re a hands-on AI Engineer who is excited to ship AI features used by members to fundamentally improve their health everyday, this is an excellent opportunity for you. Previous experience in healthcare is preferred, but not required. Responsibilities Drive the end-to-end lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization. Own the engineering quality of the AI system — evaluation frameworks, testing, CI pipelines for model behavior, and shared tooling used by the team. Set and enforce engineering standards through code review: testing practices, abstractions, observability, and production reliability. Apply advanced AI/ML and software engineering techniques to develop conversational AI agents, deep learning, and personalized recommendations to create “N of 1” solutions that adapt to individual needs. Build and improve ML models to drive behavior change to achieve sustained improvements in metabolic health for a diverse member base across diabetes, weight loss, etc. Influence product roadmap by deeply understanding member behavior and preferences through continuous data analysis. Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact. Additional duties as assigned. Qualifications 5+ years of industry experience developing AI and Machine Learning systems in production. Experience building consumer facing features a plus. Strong software engineering fundamentals: testing, CI/CD, system design, code review. This is not a research role. Experience building evaluation infrastructure for LLM-based systems (not just running evals, but building the framework). Comfortable extending shared infrastructure and reviewing code at a senior SWE level. Experience creating applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals. Experience integrating and deploying models in production AI systems. Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc) would be a plus. Proficiency in Python and software engineering best practices. This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S. Bachelor's or Master's degree in Computer Science, Statistics, or a related field. Compensation and Benefits The compensation range for this position is $200,000-$220,000 annually. In addition, Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin A competitive compensation package in line with leading technology companies As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments. Opportunity for equity participation. Unlimited vacation with manager approval. 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents. 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options. 401k retirement savings plan. Apply Now About the company Twin Health Actively Hiring Reverse chronic diseases and improve metabolic health using IoT sensors, ML 201-500 Employees Mountain View 201-500 Healthcare Health Care Information Technology Software Sensors Mobile Health Internet of Things Artificial Intelligence / Machine Learning B2C Scale Stage Top Investors Employees joined from Virta Health Teladoc Health Evolent Health Livongo Jasper Technologies Learn more about Twin Health Funding AMOUNT RAISED $183M FUNDED OVER 3 rounds Rounds C $140000000 Series C - Oct 2021 +2 View Twin Health's funding history Perks Health Plans We offer Medical, Dental, and Vision plans as well as Flexible Spending Accounts for health and dependent care Retirement We offer a 401k plan for retirement savings. Stock Options As an early employee, you may be offered pre-IPO stock options so that you can become an owner of the company and take part in Twin's company success. Holidays and Paid Time Off We have an unlimited PTO (Discretionary Time Off) policy; you can take time off as needed, as long as you discuss with your manager beforehand. In addition, we have 8 company-paid holidays per year. Hardware We provide you with all the hardware that you need to be effective. Standard setups include a MacBook Pro, 27-inch monitor, docking station, keyboard tray, wireless keyboard/mouse, etc. We also reimburse for any ergonomic equipment. 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Qumis Generative AI for insurance policies Top 10% of responders Responds within two weeks Early Stage Save Apply Now Founding Staff AI Engineer $150k – $250k • 0.5% – 1.5% | Remote ( United States ) • Chicago |Full Time Posted: 1 year ago Job Location Chicago Remote Work Policy In office - WFH flexibility Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job About Qumis Qumis is a venture-backed AI startup building the most advanced platform for reading and interpreting insurance policies. We help P&C insurance professionals—claims advocates, brokers, underwriters, and legal teams—move faster, make better decisions, and reduce reliance on siloed expertise. Our customers include some of the largest insurance organizations in the U.S. We combine legal-grade natural language understanding with structured analysis and intuitive workflows to modernize one of the most complex and outdated parts of the insurance industry: reading the policy. Our vision is a world where anyone can read any insurance policy like a lawyer. We’re a small, high-trust team of engineers, designers, and insurance/legal experts. We move fast, operate with autonomy, and hold each other to a Michelin-star standard. We value grit, speed, ownership, clarity of thinking, and deep curiosity. If you're energized by building at the edge of AI, transforming massive legacy industries, and working with people who care deeply—welcome. About the Role We're hiring a Founding Staff AI Engineer to build and ship production-grade AI that powers the core workflows of Qumis. You’ll partner closely with the CTO and co-founders to design, implement, and own every part of our AI pipeline—from unstructured document ingestion to interactive LLM outputs that shape legal-grade decisions. It’s a product-critical role for someone who thrives in ambiguity, ships fast, and is excited to be the technical owner of a new AI stack inside a real-world, high-stakes domain. You’ll play a key role in shaping our architecture, roadmap, and engineering culture. Your work will touch every customer, every week. What You’ll Do Build and ship production AI features end-to-end—from R&D to SaaS integration, observability, and iteration Design and deploy advanced document understanding systems, including RAG pipelines, clause segmentation, summarization, risk detection, and more Create scalable APIs that deliver real-time coverage analysis, comparisons, and recommendations inside a modern SaaS UI Engineer robust data workflows across OCR, PDF ingestion, parsing, normalization, and embedding generation Own evaluation and observability, from automated accuracy pipelines to human-in-the-loop systems that maintain trust and reliability Design for explainability—develop transparent workflows that help legal, claims, and compliance professionals understand what the AI sees and says Collaborate across disciplines with designers, PMs, and domain experts to translate insurance workflows into AI-powered systems Set technical direction—you’ll shape our infra, tooling, and AI product roadmap from the ground up What We’re Looking For This role blends the ambition of a research scientist, the urgency of a product engineer, and the ownership of a founder. You’ll be our first AI hire, helping architect and scale our AI systems from the ground up. You should bring most or all of the following: 6–10+ years of experience building and deploying production machine learning systems, with a focus on NLP, document intelligence, or unstructured data Strong track record shipping ML models into production—API design, observability, iteration, and scaling included Deep experience with RAG pipelines, multi-step LLM workflows, and vector databases (e.g., Pinecone, Weaviate, Qdrant) Comfortable working with complex, messy documents (e.g., insurance policies, contracts), including parsing, OCR, clause-level segmentation, and normalization Strong software engineering background, with experience in fullstack dev, containerization (Docker), and DevOps/MLOps best practices Ability to design secure, compliant systems in regulated environments (insurance, legal, healthcare, or finance) Experience architecting agentic workflows and AI-native products that go beyond simple chatbot interfaces Product-first mindset—you build models to solve real user pain, and love working closely with cross-functional teams Operates like a founder—driven, hands-on, scrappy, and thrives in fast-paced, zero-to-one environments with extreme ownership Why Join Qumis Backed by top-tier venture capital funds including Armory Square Ventures, MTech Capital, Grand Ventures, and Alumni Ventures, and strategic angels in AI and insurance including the founder and CEO of Chicago insurtech unicorn Kin Insurance Used and loved by leading brokerages and claims teams to transform how work gets done including multiple top 15 brokerages with tremendous expansion potential Shape the future of how generative AI transforms one of the world's most complex, critical industries High-ownership role on a high-standards founding team with grit, urgency, and big ambition Build a generational company—the kind of opportunity that only comes once in a career We've Got You Covered We offer a comprehensive benefits package so you can choose what’s best for you and your family. Our benefits include: Medical, dental, and vision insurance (Aetna + Guardian) with 100% of premiums covered for employees on select plans and up to 90% coverage for dependents Life Insurance (company-paid), plus supplemental options, short- and long-term disability insurance, pre-tax FSA and HSA options, and pre-tax commuter benefits Unlimited PTO & $1,000 home office setup stipend Hybrid work environment: 1–2 days/week in our Chicago office Professional development support and growth opportunities Apply Now About the company Qumis Generative AI for insurance policies 11-50 Employees Chicago 11-50 Startup SaaS Artificial Intelligence Information Technology Legal Legal Tech Insurtech Artificial Intelligence / Machine Learning B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Top 10% of responders Responds within two weeks Early Stage Employees joined from Kin Insurance Polymathic United States Bankruptcy Court for the Western District of Texas SmallWorld SPARROW HOSPITAL EMERGENCY DEPARTMENT Learn more about Qumis Funding AMOUNT RAISED $2.4M FUNDED OVER 2 rounds Rounds S $2200000 Seed - Jan 2025 +1 View Qumis's funding history Perks Fully paid comprehensive medical insurance Fully paid dental insurance Fully paid vision insurance Explore Qumis's perks and benefits Founders Shiv Sinha Co-Founder & CTO Dan Schuleman Co-Founder & CEO Chicago View the team Similar Jobs Array Building the Array! Lead Go Software Engineer $140k – $140k Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Signifyd Optimize Revenue. Eliminate Fraud Senior Machine Learning Engineer I // II $140k – $190k Apply ZoomLogi Redefine visibility in pharma logistics Founding Data Scientist $180k – $240k Apply Snout Pet wellness plans that actually work Analytics Engineer $100k – $160k • No equity Apply AI Training Jobs A platform for remote AI training jobs Senior Software Engineer — AI Automation $220k – $300k • No equity Apply nOps Automated Cloud Optimization Platform Senior Data Platform Engineer $175k – $200k Apply Mapgenesys ur mission is to help enterprises accelerate transformation, reduce costs, and boost efficiency by d Sr AI Engineer $80k – $150k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Scale AI Actively Hiring Accelerate the development of AI applications B2B Scale Stage Top Investors +2 Save Apply Now Machine Learning Python Expert - Tier 2 - US Remote ( United States ) |Full Time Reposted: 8 months ago Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who would like to lend your coding expertise to train AI models? We partner with organizations to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. There is no requirement for previous AI experience. About the opportunity: Outlier is looking for talented coders to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Crafting and answering questions related to computer science in order to help train AI models Evaluating and ranking code generated by AI models Examples of desirable expertise: Currently enrolled in or completed a bachelor's degree or higher in computer science at a selective institution Proficiency working with one or more of the the following languages: Java, Python, JavaScript / TypeScript, C++ Ability to articulate complex concepts fluently in English Excellent attention to detail, including grammar, punctuation, and style guidelines Payment: Currently, pay rates for core project work by Tier 2 coding experts in USA average $30 per hour. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Apply Now About the company Scale AI Actively Hiring Accelerate the development of AI applications 1001-5000 Employees San Francisco 1001-5000 Enterprise Software Company Machine Learning Artificial Intelligence Developer APIs Image Recognition Developer Tools Business Process Outsourcing B2B Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Scale AI Funding AMOUNT RAISED $277.6M FUNDED OVER 5 rounds Rounds D $155000000 Series D - Dec 2020 +4 View Scale AI's funding history Perks Healthcare benefits HEALTH, DENTAL & VISION COVERAGE Choose the benefit plan that suits you and your family's needs. EASY TO USE 401(K) VIA GUIDELINE Plan and invest for the future with a 401(K) via Guideline. Parental leave Equity benefits Work from home policy Vacation policy GENEROUS PAID TIME OFF Enjoy time to travel or plan a staycation - whatever you need to relax and recharge. Company meals FREE LUNCH AND DINNER Stay fueled for the workday. Lunch and dinner are on us. Commuter benefits Company events REGULAR SOCIAL ACTIVITIES From karaoke to off-sites, we take time to celebrate the wins and connect with teammates. FLEXIBLE WORK HOURS Flexible hours allow you to work when you are most productive. Explore Scale AI's perks and benefits Founders Alexandr Wang Founder Mountain View View the team Similar Jobs Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply Sciative - We Price Right Price Optimization SaaS platform Sr Software Development Engineer (SDE – III) – AI SaaS Products ₹15L – ₹30L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI NLP Engineer ₹10,000 – ₹35,000 • No equity Apply SquareYards Square Yards is India's largest Real Estate platform with presence in over 9 countries Generative AI Engineer | Artificial Intelligence | Mumbai ₹10L – ₹15L • No equity Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply Outdoo AI AI roleplay and coaching platform Head of Engineering (AI) at VC-funded Startup ₹45L – ₹60L • 0.5% – 0.8% Apply Outdoo AI AI roleplay and coaching platform Sr AI Engineer at VC-funded Startup ₹30L – ₹42L • 0.2% – 0.6% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Scale AI Actively Hiring Accelerate the development of AI applications B2B Scale Stage Top Investors +2 Save Apply Now Machine Learning Python Expert - Tier 2 - CA Remote ( Canada ) |Full Time Posted: 1 year ago Hires remotely in Canada Visa Sponsorship Not Available Relocation Allowed About the job Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who would like to lend your coding expertise to train AI models? We partner with organizations to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. There is no requirement for previous AI experience. About the opportunity: Outlier is looking for talented coders to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Crafting and answering questions related to computer science in order to help train AI models Evaluating and ranking code generated by AI models Examples of desirable expertise: Currently enrolled in or completed a bachelor's degree or higher in computer science at a selective institution Proficiency working with one or more of the the following languages: Java, Python, JavaScript / TypeScript, C++ Ability to articulate complex concepts fluently in English Excellent attention to detail, including grammar, punctuation, and style guidelines Payment: Currently, pay rates for core project work by Tier 2 coding experts in Canada average $30 per hour. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Apply Now About the company Scale AI Actively Hiring Accelerate the development of AI applications 1001-5000 Employees San Francisco 1001-5000 Enterprise Software Company Machine Learning Artificial Intelligence Developer APIs Image Recognition Developer Tools Business Process Outsourcing B2B Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Scale AI Funding AMOUNT RAISED $277.6M FUNDED OVER 5 rounds Rounds D $155000000 Series D - Dec 2020 +4 View Scale AI's funding history Perks Healthcare benefits HEALTH, DENTAL & VISION COVERAGE Choose the benefit plan that suits you and your family's needs. EASY TO USE 401(K) VIA GUIDELINE Plan and invest for the future with a 401(K) via Guideline. Parental leave Equity benefits Work from home policy Vacation policy GENEROUS PAID TIME OFF Enjoy time to travel or plan a staycation - whatever you need to relax and recharge. Company meals FREE LUNCH AND DINNER Stay fueled for the workday. Lunch and dinner are on us. Commuter benefits Company events REGULAR SOCIAL ACTIVITIES From karaoke to off-sites, we take time to celebrate the wins and connect with teammates. FLEXIBLE WORK HOURS Flexible hours allow you to work when you are most productive. Explore Scale AI's perks and benefits Founders Alexandr Wang Founder Mountain View View the team Similar Jobs Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Deep Learning Researcher $75k – $150k CAD • 0.0% – 0.1% Apply Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply Zintellix AI Product Studio Data science Intern $1k – $10k Apply Kawa Space ELINT & SIGINT Machine Learning Engineer I ₹20L – ₹20L • No equity Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply Outdoo AI AI roleplay and coaching platform Head of Engineering (AI) at VC-funded Startup ₹45L – ₹60L • 0.5% – 0.8% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Oracle Fusion Cloud Lead â Logistics & Supply Chain Management Greenfield Oracle Fusion Implementation Company Tessera Labs AI Role Type Senior consulting engagement â full-time or contract, workstream-critical role Location Nearshore, based in Mexico or Brazil â remote-based delivery model; excellent business English required for direct engagement with client stakeholders and leadership Reports To Program Director / Engagement Lead, Tessera Labs AI About the Role Tessera Labs AI is a technology product firm delivering next-generation, AI-accelerated enterprise transformation programs. We are seeking an experienced Oracle Fusion Cloud Lead to own the Logistics and Supply Chain Management (SCM) workstream for a greenfield Oracle Fusion Cloud implementation for a fast-growing client. This is a greenfield implementation from a process and configuration standpoint â there is no legacy SCM configuration to reverse-engineer or carry forward, and the opportunity is to stand up Oracle Fusion Cloud Inventory Management, Order Management, Indirect Procurement and related logistics processes from a blank slate, configured to Oracle standard wherever possible. Data is a different story: item, article, inventory, and other master and historical data still needs to be extracted, transformed, and loaded (ETL) from the client's legacy ERP into Oracle Fusion, and this role supports that migration effort alongside the functional design work. This is a highly cross-functional, business-facing role. You will run discovery and design workshops directly with logistics, supply chain, and procurement stakeholders â including ownership of the Indirect Procurement value stream â translate their requirements into working Oracle Fusion design and configuration, and own the documentation trail from business requirement through configuration and test. You will also own the integration design connecting Oracle Fusion to Shopify for e-commerce order and inventory synchronization, and to the client'swarehouse management system(s) for outbound and inbound logistics â alongside integration with adjacent Oracle Fusion modules as applicable. This is a nearshore delivery role, based in Mexico or Brazil, working in a remote-first model alongside Tessera's distributed FDE delivery and AI engineering teams. Because you will be running workshops and presenting directly tobusiness stakeholders and client leadership, excellent business English â spoken and written â is essential to this role. Key Responsibilities ⢠Lead and facilitate business process workshops with logistics, supply chain, procurement, and operations stakeholders to capture requirements for a greenfield Oracle Fusion Cloud implementation, spanning Inventory Management, Order Management, Indirect Procurement, and related logistics processes. ⢠Own end-to-end functional configuration of Oracle Fusion modules â Inventory Management, Order Management, and Procurement, with particular ownership of the Indirect Procurement value stream, translating workshop outcomes into a working, standard-first system design. ⢠Configure and maintain the Oracle article/item master setup in line with fashion and apparel industry best practices (e.g., style, color, and size hierarchies, seasonal and pre-pack/kit structures) and Oracle Retail conventions. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and AWS Generative AI stacks. You will design and build production-ready RAG pipelines, agentic AI workflows, and knowledge base chatbots. You will work closely with architects and business stakeholders to deliver accurate, low-hallucination, observable AI solutions at enterprise scale. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities Design and build production-grade RAG pipelines using LangChain and LangGraph for stateful agentic workflows Develop and maintain knowledge base chatbots with semantic search, source attribution, and multi-turn conversation memory Implement advanced retrieval strategies - Hybrid Search (vector + keyword), HyDE, and Hierarchical / Small-to-Big chunking Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG, Self-RAG) Integrate LLMs (Claude, GPT-4o, Llama 3, Mistral) via API and open-source hosting (Fireworks AI, Groq) Design and operate vector databases - Pinecone, Weaviate, or PGVector - for semantic knowledge storage Build AWS Bedrock-based solutions using Bedrock Agents, Knowledge Bases, and Guardrails Set up evaluation frameworks using Ragas (faithfulness, relevance scoring) and maintain Golden Datasets for CI/AI testing Implement LLM observability using LangSmith or Phoenix - trace calls, debug hallucinations, monitor costs Apply PII redaction pipelines on ingested documents and enforce data security using Model Context Protocol (MCP) Deploy AI backends using FastAPI and Docker with OpenTelemetry for system-wide monitoring Collaborate with Solution Architects to produce HLDs, LLDs, and developer-facing documentation for AI components You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field 8+ years of overall software / AI engineering experience 2+ years of direct hands-on experience building and deploying GenAI / LLM-based applications in production Solid Python development skills - primary language for AI engineering work Demonstrated portfolio or project experience with RAG pipelines, vector databases, and agentic architectures Driver's License and access to reliable transportation Preferred Qualifications AWS Certified AI Practitioner (AIF-C01) or Generative AI Developer (AIP-C01) certification AWS Certified Cloud Practitioner or Developer Associate AI/ML Specialty Experience with Graph RAG for complex entity-relationship knowledge bases Experience with Semantic Kernel as an alternative orchestration framework Knowledge of Human-in-the-Loop systems - expert review/voting UI for AI answer correction Familiarity with fine-tuning open-source LLMs (LoRA / QLoRA) on domain-specific datasets Exposure to Amazon Connect integration with Bedrock Agents via Lex V2 for contact centre AI All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Optum by 2x See who you know
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Sharebite Actively Hiring A Mission-Driven Food Ordering Platform for built exclusively for Companies B2B Growth Stage Save Apply Now AI Engineer $110k – $130k | Remote ( Everywhere ) |Full Time Posted: 4 months ago Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Arees Akhtar Employee New York About the job About Sharebite Sharebite is the leading meal benefits platform built exclusively for companies to feed their employees. Our platform allows employees to order meals from any restaurant while streamlining all of the ordering & billing requirements for the company. Every meal ordered through the Sharebite platform results in a meal donation to local partners like City Harvest and Feeding America to help combat food insecurity. To date, Sharebite has donated over 15 million meals. About the Role As an AI Engineer, you will play a key role in shaping how Sharebite applies AI across both its product and internal operations. You will begin by working closely with the product and engineering teams to build a deep understanding of the codebase, core workflows, business logic, and operational complexity behind the platform. We see that foundation as essential to building AI solutions that are not only innovative but genuinely useful. As you grow into the role, you will identify high-impact opportunities to use AI to improve efficiency, streamline manual work, and enhance the product experience for customers and internal teams. You will be responsible for designing, building, and refining AI-powered tools, automations, workflows, and product features that are practical, scalable, and well-integrated into the business. This role is ideal for someone who wants to pair full stack engineering with applied AI work and have a meaningful influence on how the function develops over time. A note on the role: this position starts as a Full-Stack Engineer and evolves into an AI Engineer over time. If you’re looking for a pure AI/ML research role, this likely is not the best fit. If you’re someone who loves building real products and wants to apply AI engineering over time, this role is perfect for you. What You’ll Do Build and ship full-stack features across the product as you ramp up on the platform Develop a thorough understanding of our systems, data models, and business logic Identify high-leverage automation opportunities as you learn how the platform works Design and build AI agents and automated workflows using modern AI tooling Integrate LLMs into product workflows in ways that are reliable and production-safe Evaluate, iterate, and improve AI systems based on real-world performance Collaborate with product and engineering to solve user-facing problems Help define what effective, responsible AI engineering looks like at our company Required Skills & Experience 5+ years of full-stack development experience, with a proven ability to own features end-to-end 1–2 years of hands-on AI engineering experience building and shipping LLM-powered systems in production Experience with at least one major AI orchestration framework such as LangChain, LangGraph, or AWS Bedrock Familiarity with LLM APIs (OpenAI, Anthropic, etc.), vector databases, RAG pipelines, and agent frameworks Strong software engineering fundamentals, including system design, testing, debugging, and clean code practices Clear communicator who can work across product and engineering teams Who You Are Genuinely curious about how systems work, and not just how to layer AI on top of them Comfortable starting as a full-stack engineer and growing into AI engineering as you learn the product Thoughtful about where AI adds real value and where it doesn’t Someone who takes ownership and doesn’t wait to be told what to improve Excited by the idea of being the person who shapes how an entire company thinks about AI What Success Looks Like 0–3 months: You’re shipping product features independently and have a strong mental model of how the platform works 3–6 months: You’ve shipped your first AI-powered workflow or agent into production 6–12 months: You’ve automated multiple high-impact workflows and are proactively identifying the next wave of opportunities At Sharebite, we are committed to providing competitive pay in line with industry and market standards. The base compensation range for this role is $110-$130k per year, however actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and location. Salary is just one component of Sharebite's total compensation package, which includes equity, multiple health insurance options, and a wide range of benefits, including a daily meal stipend. Apply Now About the company Sharebite Actively Hiring A Mission-Driven Food Ordering Platform for built exclusively for Companies 51-200 Employees New York City 51-200 Food & Tech Restaurants Social Entrepreneurship Food Tech B2B Growth Stage Learn more about Sharebite Funding AMOUNT RAISED $39M FUNDED OVER 1 round Round B $39000000 Series B - Jun 2022 View Sharebite's funding history Founders Dilip Rao CEO New York City Ahsen Saber VP of Customer Success & Business Operations New York Mohsin Memon President & COO New York City View the team Similar Jobs Monsoon CreditTech Machine learning based lending platform for banks, card issuers and other lenders Data Scientist ₹7L – ₹14L • No equity Apply Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Invsto Investments and Trading SuperApp & Quant Sciences firm Quant Sciences - Trading Intern (Rolling/Please read JD) ₹5,000 – ₹10,000 • No equity Apply Sciative - We Price Right Price Optimization SaaS platform Sr Software Development Engineer (SDE – III) – AI SaaS Products ₹15L – ₹30L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI NLP Engineer ₹10,000 – ₹35,000 • No equity Apply Infinite Analytics Consumer Insights AI Platform Data Scientist ₹10L – ₹20L • 0.05% – 0.15% Apply Wynd Labs Making AI Data Accessible. Building a suite of products powered by Grass Web Scraping Specialist $70k – $140k • No equity Apply Pave Pave delivers AI-powered Cashflow Analytics for consumers and SMB credit risk teams Data Scientist $170k – $250k • 0.1% – 0.5% Apply Outdoo AI AI roleplay and coaching platform Head of Engineering (AI) at VC-funded Startup ₹45L – ₹60L • 0.5% – 0.8% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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PlutusAI Builds and scales AI-powered software products Save Apply Now AI Engineer $175k – $200k • No equity | Remote ( Everywhere ) |8 years of exp |Full Time Posted: 1 month ago Hires remotely in Everywhere Remote Work Policy Remote only Company Location Ridgewood Visa Sponsorship Not Available Preferred Timezones Eastern Time Relocation Allowed Skills Python PostgreSQL Kubernetes LLMs LangChain About the job Full Job Description We are looking for a talented AI Engineer to design, build, and maintain AI-powered consumer applications that help people understand, learn, communicate, and work more effectively. In this role, you will develop practical software products that solve real-world problems through artificial intelligence, automation, and intuitive user experiences. Our first product, CAPCUE, demonstrates our vision of creating software that enhances human productivity and accessibility through AI. CAPCUE is a Windows desktop application that provides real-time AI-powered captions for any audio played on a computer, including meetings, lectures, livestreams, videos, podcasts, and other media sources. As the company grows, we plan to develop additional consumer-focused software products across productivity, education, communication, accessibility, and other technology-driven categories. This role is ideal for an engineer who can combine strong software engineering skills with modern AI, LLM, and cloud-native development practices. Responsibilities Design, develop, and maintain AI-powered consumer applications using modern engineering practices and scalable architectures. Build and integrate LLM-based features using models such as GPT, Claude, Gemini, and open-source LLMs. Develop and optimize RAG systems, including document ingestion, embeddings, vector search, retrieval pipelines, prompt engineering, and response generation. Build AI workflows involving speech-to-text, real-time transcription, natural language processing, summarization, classification, and automation. Design scalable backend services using Python, TypeScript, Node.js, PostgreSQL, Redis, Docker, and cloud services. Develop reliable APIs and services that support real-time AI functionality with low latency and high availability. Work with vector databases and search technologies such as Pinecone, Weaviate, Chroma, FAISS, pgvector, Elasticsearch, or similar tools. Improve AI system quality through prompt evaluation, automated testing, model monitoring, feedback loops, and performance optimization. Build observability into AI systems using logging, metrics, tracing, error tracking, and production monitoring tools. Collaborate with product, design, and engineering teams to translate product requirements into reliable AI-powered features. Participate in code reviews, architecture discussions, and technical planning to ensure code quality, scalability, security, and maintainability. Take ownership of features from design and development through deployment, monitoring, and continuous improvement. Contribute to the evolution of the company’s AI architecture, infrastructure, and development standards. What You’ll Bring 4+ years of professional software engineering experience, with strong experience building production applications or backend services. Hands-on experience building AI-powered applications using LLMs, RAG, embeddings, vector databases, prompt engineering, and AI APIs. Strong programming skills in Python and/or TypeScript/Node.js. Experience working with LLM providers and frameworks such as OpenAI, Anthropic, Google Gemini, LangChain, LlamaIndex, Hugging Face, or similar tools. Strong understanding of AI application development, including prompt design, retrieval quality, model evaluation, latency optimization, and cost management. Experience with databases such as PostgreSQL, Redis, and vector search systems. Experience designing and consuming REST APIs, streaming APIs, and event-driven services. Familiarity with speech recognition, audio processing, transcription systems, or real-time AI pipelines is a strong plus. Experience with Docker and cloud platforms such as GCP, AWS, or Azure. Understanding of software engineering best practices, including clean code, testing, code reviews, CI/CD, version control, and production operations. Ability to debug complex systems, improve performance, and build reliable software for real users. Strong communication skills and the ability to work effectively in a collaborative product-focused environment. Experience with Agile software development practices. Preferred Qualifications Experience building real-time AI applications, transcription tools, captioning systems, accessibility tools, or productivity software. Experience with Whisper, Deepgram, AssemblyAI, Google Speech-to-Text, Azure Speech, or other speech-to-text technologies. Experience deploying AI systems in production with monitoring, evaluation, and feedback collection. Familiarity with Kubernetes, serverless platforms, hybrid cloud infrastructure, or distributed systems. Experience optimizing AI systems for latency, accuracy, scalability, and cost efficiency. Experience working with open-source LLMs, model hosting, inference APIs, or fine-tuning workflows. Experience building consumer-facing desktop, web, or cross-platform applications. Strong interest in building AI products that improve accessibility, learning, communication, and productivity. About the Role This is a hands-on engineering role focused on building real AI products used by consumers. You will work across backend engineering, AI system design, LLM integration, RAG pipelines, real-time processing, and production deployment. The ideal candidate is not only comfortable using AI tools and APIs, but also understands how to build reliable, scalable, and user-friendly AI-powered software. We are looking for someone who enjoys solving practical problems, shipping product features, and improving AI systems based on real user needs. Apply Now About the company PlutusAI Builds and scales AI-powered software products 11-50 Employees Ridgewood 11-50 Artificial Intelligence Software Development Artificial Intelligence Software Software Engineering Learn more about PlutusAI Founders James Criollo Founder View the team Similar Jobs Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Decorilla (We're Hiring!) Interior Design 2.0 (VR/AR/3D) Decorilla Fullstack Web Developer $30k – $45k Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Trunk Tools #AutomatingConstruction Senior Full Stack Engineer $166k – $215k • 0.0% – 1.0% Apply Scope Labs Software Engineer $135k – $175k Apply DriveWealth The Modern Brokerage Platform Principal Software Development Engineer, Execution Services $250k – $270k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI Save Apply Now Forward Deployed AI Engineer, West $155k – $190k | Remote ( Everywhere ) |Full Time Posted: 2 months ago Hires remotely in Everywhere Visa Sponsorship Available Relocation Not Allowed Hiring contact Meredith Mende Employee About the job The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You’ll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We’re Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.. Cloud Technologies: Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. Apply Now About the company Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI 11-50 Employees Berkeley 11-50 Machine Learning Big Data Artificial Intelligence Big Data Analytics Distributed Systems Deep Learning Artificial Intelligence / Machine Learning Learn more about Arize AI Funding AMOUNT RAISED $38M FUNDED OVER 1 round Round B $38000000 Series B - Sep 2022 View Arize AI's funding history Founders Aparna Dhinakaran Founder View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Get My Parking Bring AI to your parking Principal AI/ML Engineer- Computer Vision Specialist ₹30L – ₹40L Apply Invsto Investments and Trading SuperApp & Quant Sciences firm Quant Sciences - Trading Intern (Rolling/Please read JD) ₹5,000 – ₹10,000 • No equity Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI Data Scientist - Junior role - 8 position ₹10,000 – ₹35,000 • 0.1% – 0.5% Apply Deepgram AI speech API for transcription with human-level understanding Research Staff, Voice AI Foundations $150k – $250k Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply Dharmik Vibes Connects you to spiritual services, poojas, rituals, and temple travels digitally Fullstack AI/GenAI Engineer – DharmikVibes ₹2.4L – ₹6L • No equity Apply Faire The future is local Senior Applied AI/ML Scientist - Retailer $211k – $291k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI Save Apply Now Forward Deployed AI Engineer, East $155k – $190k | Remote ( Everywhere ) |Full Time Posted: 3 months ago Hires remotely in Everywhere Visa Sponsorship Available Relocation Not Allowed Hiring contact Meredith Mende Employee About the job The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area. What You’ll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We’re Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.. Cloud Technologies: Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. Apply Now About the company Arize AI Actively Hiring Arize AI is the watcher, troubleshooter and the guardrail on deployed AI 11-50 Employees Berkeley 11-50 Machine Learning Big Data Artificial Intelligence Big Data Analytics Distributed Systems Deep Learning Artificial Intelligence / Machine Learning Learn more about Arize AI Funding AMOUNT RAISED $38M FUNDED OVER 1 round Round B $38000000 Series B - Sep 2022 View Arize AI's funding history Founders Aparna Dhinakaran Founder View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Monsoon CreditTech Machine learning based lending platform for banks, card issuers and other lenders Data Scientist ₹7L – ₹14L • No equity Apply Invsto Investments and Trading SuperApp & Quant Sciences firm Quant Sciences - Trading Intern (Rolling/Please read JD) ₹5,000 – ₹10,000 • No equity Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Ezeiatech Systems IT Consulting AI/ML Engineer ₹6L – ₹20L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI Data Scientist - Junior role - 8 position ₹10,000 – ₹35,000 • 0.1% – 0.5% Apply Wynd Labs Making AI Data Accessible. 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RecargaPay Actively Hiring Mobile Payment Platform & Digital Wallet Leading in Brazil Scale Stage Save Apply Now Staff Automation Engineer & AI Engineer Remote ( Brazil ) |Full Time Reposted: today• Recruiter recently active Hires remotely in Brazil Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Noelia Bevivino HR Argentina About the job Come Make an Impact on Millions of Brazilians! At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses, by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact, who want to solve real problems, work with strong teams, and rethink what’s possible. If you’re ready to do your best work, at scale, with purpose, this is your place. Responsibilities As a Staff Automation Engineer, you will be the senior technical reference for the automation area, setting the engineering direction for complex automation initiatives. You will define the architectural vision, lead the company's automation strategy, and disseminate healthy development and agentic development practices. You will act as a bridge between technology and business, translating strategic objectives into scalable and secure automation solutions, and developing technical capabilities across the team through mentoring, standards, enablement, and leadership by example. Although this is a technical role, it is expected to remain hands-on, directly contributing to complex implementations, architectural decisions, code reviews, troubleshooting, and production support for business-critical automations. Key Responsibilities Define the automation operating model, including intake process, prioritization criteria, ownership, support model, governance forums, development standards, and lifecycle management. Define prioritization criteria for the automation portfolio based on business impact, operational risk, effort, scalability, maintainability, and ROI. Define observability, auditability, supportability, and incident management standards for business-critical automations. Establish standards for logs, metrics, alerts, execution history, audit trails, runbooks, ownership, and post-incident reviews. Define AI governance and LLMOps practices, including prompt/version management, evaluation datasets, model selection criteria, hallucination mitigation, human-in-the-loop patterns, access control, traceability, and responsible AI usage. Design reusable automation components, templates, connectors, libraries, golden paths, and reference architectures to accelerate delivery and standardize quality. Evaluate, select, and govern automation, RPA, workflow, and AI orchestration tools based on scalability, security, cost, vendor lock-in, maintainability, and enterprise fit. Establish standards for highly validated automation flows, ensuring every process includes automated reconciliation mechanisms and audit trails to maintain data integrity across systems. Define the governance for "Human-in-the-loop" patterns in automated financial and operational workflows to ensure high-trust execution in regulated environments.Embed risk, compliance, privacy, segregation of duties, approval flows, and audit controls into automation design. Define architecture, governance, scalability, monitoring, reusable patterns, and operational standards for n8n or similar workflow automation platforms. Design production-grade AI workflows and agents using tools such as Langflow, LangGraph, CrewAI, Semantic Kernel, or similar, including RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls. Define contracts, integration patterns, and API governance in the automation context. Govern RPA tools such as UiPath, Blue Prism, Automation Anywhere, or Power Automate, defining when to use RPA versus APIs, workflows, scripts, AI tools, or system integrations. Define when automations should run as scripts, serverless functions, containers, workflows, or platform services. Define and audit development security practices and information management in the team. Define guidelines for the responsible and effective use of Claude Code, Codex, Cursor, GitHub Copilot, or similar AI-assisted engineering tools, promoting code quality, testing, documentation, security, and sustainable engineering practices. Remain hands-on, directly contributing to complex implementations, architectural decisions, code reviews, troubleshooting, and production support for business-critical automations. Mentor and develop technical capabilities across the team through standards, enablement, and leadership by example. Requirements Academic background oriented toward computer science, engineering, or software development disciplines. Python with mastery: production-grade code, architectural review, and definition of patterns for the team. Workflow automation platforms: defines architecture, governance, scalability, monitoring, reusable patterns, and operational standards for n8n or similar platforms. AI orchestration platforms: designs production-grade AI workflows and agents using tools such as Langflow, LangGraph, CrewAI, Semantic Kernel, or similar, including RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls. APIs: defines contracts, integration patterns, and API governance in the automation context. Advanced AWS: cloud architecture for automations at scale, costs, resilience, and compliance. RPA strategy and governance: governs RPA tools such as UiPath, Blue Prism, Automation Anywhere, or Power Automate, defining when to use RPA versus APIs, workflows, scripts, AI tools, or system integrations. Container and deployment architecture: understands Docker and Kubernetes-based deployment models and defines when automations should run as scripts, serverless functions, containers, workflows, or platform services. Advanced security: defines and audits development security practices and information management in the team. AI-assisted engineering practices: defines guidelines for the responsible and effective use of Claude Code, Codex, Cursor, GitHub Copilot, or similar tools, promoting code quality, testing, documentation, security, and sustainable engineering practices. FinOps view: considers cost, efficiency, and operational impact in all architectural decisions. Practical experience applying AI frameworks in production projects. Soft Skills Strategic view of automation as a transversal capability of the company. Technical influence on product, operations, and engineering decisions. Executive communication: capable of presenting ROI, risks, and trade-offs to leadership. Building automation and agentic development culture in the team. High capacity for mentorship and people development. Leadership by example: reference in quality, security, and innovation. Oriented toward business outcomes, not just technical delivery. Industry-Specific Knowledge As a Staff Automation Engineer, you bring deep, hands-on familiarity with enterprise platforms, internal operations, and back-office workflows, paired with a strategic understanding of business processes, compliance frameworks, and the drivers of operational efficiency that define these areas. You leverage this expertise to consolidate automation as a transversal capability of the company, accelerating delivery across functions such as Finance, HR, Legal, Compliance, Risk, and Internal Operations. Beyond shaping the technical direction, you act as a key partner to Product Managers, Process Owners, and Business and Operation Leaders, collaborating to define roadmaps, evaluate trade-offs, and guide decisions that balance delivery speed, system reliability, regulatory compliance, and long-term business impact. You translate domain-specific needs into actionable technical direction and drive a culture in which automation outcomes are measured not just by execution, but by their tangible impact on process efficiency, data quality, compliance posture, cost reduction, and internal user experience, often enabled by the strategic use of AI agents, LLM-based workflows, and intelligent automation. Benefits Competitive and market-aligned salary. Remote work — wherever you are, you’re part of the team! Home office allowance through a monthly deposit in the RecargaPay app. Health and dental plans with no co-pay. Life insurance. Flexible meal allowance (via Flash). TotalPass membership to take care of your health. Diversity & Inclusion at RecargaPay At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique. About the use of your Data By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law). Industry-Specific Knowledge It is desirable to have practical familiarity with one or more core financial domains such as lending, payments, credit cards, open finance, fraud prevention, merchant acquiring, or investment services, along with an understanding of their fundamental workflows and business drivers. Experience in how these domains intersect to influence revenue, risk management, and customer satisfaction is highly valued. Ideally, candidates will have applied this knowledge to deliver solutions such as loan-origination engines with real-time decisioning; scalable payment-processing platforms integrated with core banking systems and third-party gateways; secure open-finance interfaces compliant with industry regulations; automated fraud-detection pipelines leveraging behavioral analytics; or financial reporting and reconciliation engines for regulatory compliance. The ability to translate complex compliance mandates (e.g., KYC/AML, PCI-DSS, GDPR) into resilient, high-performance systems without compromising user experience is considered a strong asset. Apply Now About the company RecargaPay Actively Hiring Mobile Payment Platform & Digital Wallet Leading in Brazil 201-500 Employees São Paulo 201-500 Startup Mobile App Payment Mobile Payments Brazil Scale Stage Employees joined from IBM Cognizant Fnbox.com Sonico Giesecke+Devrient Learn more about RecargaPay Funding AMOUNT RAISED $65.5M FUNDED OVER 7 rounds Rounds U $3600000 Unknown - Mar 2020 +6 View RecargaPay's funding history Founders Gustavo Victorica COO • 12 years Buenos Aires Province Alvaro Teijeiro CTO Buenos Aires Province Rodrigo Teijeiro CEO Miami View the team Similar Jobs Rainclouds Global Solutions Cloud based products on risk and compliance DevOps Engineer ₹5L – ₹20L • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI Backend Engineer (Python) – Paid Internship 2 Month leading to Full-Time ₹10,000 – ₹35,000 • No equity Apply Gluon Solutions Pvt Limited Intelligent Automotive Marketplace Sr. DevOps Engineer ₹10L – ₹12L • No equity Apply Deepgram AI speech API for transcription with human-level understanding Solutions Architect (EST or PST) $197k – $246k Apply Scale AI Accelerate the development of AI applications Field Engineer, Data Engine $190k – $290k Apply Juniper Square Unlock the potential of every investment partnership Senior Site Reliability Engineer II $140k – $185k Apply Avijo Quick commerce Healthcare Platform DevOps ₹40,000 – ₹70,000 • No equity Apply Maple Voice AI for Local Businesses GTM Engineer $100k – $200k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Vannevar Labs Actively Hiring Defense for the digital domain B2B Growth Stage Top Investors Save Apply Now Machine Learning Engineer $150k – $215k | Remote ( Everywhere ) |Full Time Posted: 6 months ago Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed Hiring contact Harrison Nguyen Employee California About the job About the Role Machine learning is core to Vannevar's enrichment capabilities, powering intelligent data extraction, classification, and augmentation at scale. Our ML team builds the services and infrastructure that enable products across Vannevar to leverage state-of-the-art models for mission-critical enrichment workflows. We own the end-to-end ML platform, from training and fine-tuning models to deploying high-performance inference services, and we operate these capabilities in demanding production environments. You will be a technical leader driving the development of scalable ML services for enrichment. You'll work across the full ML lifecycle, from experimenting with and training models using frameworks like PyTorch, TensorFlow, and Hugging Face, to deploying optimized inference services using ONNX, vLLM, and other deployment libraries. You'll partner with product teams to understand enrichment requirements, architect robust ML pipelines that handle large-scale data processing, and ensure our services meet strict performance and reliability standards in production. What you'll do Design and build scalable ML services for enrichment workflows, including model training pipelines and high-performance inference APIs Deploy and optimize models using modern inference libraries and frameworks (ONNX, vLLM, TensorRT, etc.) to achieve low-latency, high-throughput performance Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics Build robust monitoring, observability, and evaluation systems to ensure model quality and service reliability in production Stay current with emerging ML techniques, tools, and best practices, particularly in areas like model optimization, efficient inference, and large-scale data processing What we look for 5+ years of experience building and deploying machine learning systems in production environments Strong proficiency with model deployment technologies (Kubernetes, Ray, etc.) and inference libraries (ONNX, vLLM, TensorRT, or similar). Proficiency with model training frameworks (PyTorch, TensorFlow, Jax) You've successfully designed and scaled ML services that process large volumes of data and serve predictions with strict latency and throughput requirements Experience with the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring Solid software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure You have a passion for building reliable, performant ML systems and understand how they create value for end users U.S. Person status is required as this position will require the ability to access U.S only data systems What we offer Competitive Salary The salary range for this position is $150,000 - $215,000 + equity Within the range, individual pay is determined by experience, relevant education, and/or training. Comprehensive Benefits We’re proud to offer competitive benefits that support our employees. Some key highlights of our benefits package include: Health, dental, and vision insurance Remote friendly with WeWork access Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year 401(k) match Lifestyle & wellbeing stipends Salary top-up during military reserve duty Fully paid parental leave Child and pet care reimbursement during travel Apply Now About the company Vannevar Labs Actively Hiring Defense for the digital domain 51-200 Employees Austin 51-200 Private Company Information Technology Analytics Security Machine Learning Defense Big Data Artificial Intelligence Natural Language Processing Data Visualization Software Computer Vision Web Development B2B Growth Stage Top Investors Employees joined from Google United States Army US Navy Palantir Technologies Primer Learn more about Vannevar Labs Funding AMOUNT RAISED $91.5M FUNDED OVER 3 rounds Rounds B $75000000 Series B - Jan 2023 +2 View Vannevar Labs's funding history Perks Health Insurance We cover health, dental, and vision. 401k Match Paid parental leave Substantial Equity Fully remote You manage your own workday Self Managed PTO All Federal Holidays + Extended Winter Break Woman and family health benefits through Maven Health Clinic Monthly stipend for mental wellness Pet care reimbursement during travel Miscellaneous benefit Relocation Explore Vannevar Labs's perks and benefits Founders Brett Granberg Founder Palo Alto View the team Similar Jobs Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Deep Learning Researcher $75k – $150k CAD • 0.0% – 0.1% Apply Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply MikeLegal MikeLegal helps companies automate legal processes currently related to the IP process AI Intern ₹10,000 – ₹12,000 • No equity Apply Zintellix AI Product Studio Data science Intern $1k – $10k Apply Infinite Analytics Consumer Insights AI Platform Data Scientist ₹10L – ₹20L • 0.05% – 0.15% Apply Kawa Space ELINT & SIGINT Machine Learning Engineer I ₹20L – ₹20L • No equity Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Apiphany AI AI for Hardware Product Engineering B2B Early Stage Save Apply Now Machine Learning Engineer $120k – $180k • 0.01% – 1.0% | Remote ( United States ) • San Francisco |No experience required |Full Time Posted: 5 months ago Job Location San Francisco Remote Work Policy In office - WFH flexibility Hires remotely in United States Visa Sponsorship Available Relocation Allowed Skills Python Machine Learning Deep Learning LLMs Hiring contact Matin Khajavi Engineer San Francisco About the job About Apiphany Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. About the Role As a ML Engineer at Apiphany, you’ll develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world. You’ll design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real-world performance tradeoffs. This is a role for builders who want to push the frontier of what AI can do in the physical world. Experience & Skills Expert-level programming skills in Python Solid understanding of deep learning and its applications in natural language processing (NLP) Deep understanding of large language models (LLMs) Exceptional problem-solving skills and a passion for pushing the boundaries of AI technology. Bonus Skills Background in competitive programming. Contributions to open-source initiatives. Personality & Values: Startup mindset: bias toward action, rapid iteration, and ownership Mission-driven and customer-obsessed Self-motivated, collaborative, and eager to raise the bar for the whole team Passion for building in a fast-paced, hyper-growth startup environment. Benefits: Visa Sponsorship Hybrid work: 3 days in San Francisco office 401(k) plan Medical, Dental, and Vision insurance coverage Snacks at the office Paid Time Off (PTO): Flexible vacation policy Apply Now About the company Apiphany AI AI for Hardware Product Engineering 11-50 Employees San Francisco 11-50 Private Company Enterprise Software B2B Early Stage Employees joined from Axion Ray Taelor Be Zen Building New Hope Weave Learn more about Apiphany AI Perks Healthcare benefits Retirement benefits Equity benefits Wellness benefits Explore Apiphany AI's perks and benefits Founders Rebecca Trachtenberg Founder & CEO • 3 years San Francisco View the team Similar Jobs Deepgram AI speech API for transcription with human-level understanding Research Staff, Voice AI Foundations $150k – $250k Apply Scale AI Accelerate the development of AI applications Machine Learning Research Scientist, Post-Training $180k – $225k Apply Faire The future is local Senior Applied AI/ML Scientist - Retailer $211k – $291k Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply Unlearn.AI Transforming clinical development by making every trial smarter with AI Applied Machine Learning Scientist $140k – $165k Apply Prime Intellect open superintelligence and infra Applied Research - RL & Agents $150k – $300k Apply Lightfield Offers a novel crm solution designed to assist founders in identifying their target market Machine Learning Engineer (Staff) $220k – $300k Apply Tatari Buy and measure ads for brands across linear & streaming TV Data Science Manager $160k – $220k Apply Postman Postman is the world’s leading collaboration platform for API development Applied AI Scientist, Small Language Model and AI Training $250k – $276k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Doma Actively Hiring Machine intelligence making residential real estate simple and efficient Top 10% of responders Responds within two weeks B2B +4 Save Apply Now Staff Machine Learning Engineer Remote ( United States ) |Full Time Posted: 1 week ago• Recruiter recently active Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Max Simkoff CEO San Francisco About the job Job Title: Staff ML Engineer About the Role We’re hiring a Staff ML Engineer to build and deploy production-grade machine learning systems that reshape decision-making in the title insurance and real estate sectors. You’ll own the development of robust, scalable ML products that power risk assessment, streamline underwriting, and improve operational efficiency. This role blends deep technical execution with cross-functional collaboration and offers a unique opportunity to apply advanced ML techniques in a highly regulated, high-impact domain. What You’ll Do Design, build, and maintain scalable ML systems across the full model lifecycle—from data ingestion and training to deployment, monitoring, and retraining. Serve as a go-to expert in title risk and underwriting for our team and the company. This includes exploring ways to reduce model losses, improve the fidelity of our projected losses, and identify new risks in our domain. Collaborate with data engineers, product teams, and domain experts to translate business goals into ML solutions that perform in real-world production environments. Conduct ad-hoc analyses and experimentation to inform modeling decisions and stakeholder strategy. Who You Are An Owner: You drive work forward with minimal oversight and proactively address challenges. Curious: You continuously learn and seek to improve tools, systems, and outcomes—especially in AI and engineering domains. Clear Communicator: You can explain technical decisions and concepts to diverse stakeholders. Product Oriented: You care about measurable impact and shipping reliable, real-world solutions. Qualifications 6+ years developing and deploying models in a cloud-based production environment following MLOps and engineering best practices, with proficiency in Python, SQL, Git, and Docker Depth in supervised learning on tabular data — feature engineering, class imbalance, label definition, and threshold selection with the business tradeoffs behind it. Experience monitoring and evaluating models in production over time — tracking degradation, drift, and error rates, and turning that into a defensible account of what changed and why Strong applied statistics. You can decompose a metric change into its drivers and defend the decomposition. You're the reviewer, not the reviewed. You look for the reason a number might be wrong before a client's reviewer does, and you have a track record of catching problems in other people's analyses and raising the bar around you. Fluent with current AI tooling in your own work. You already heavily use LLM-based coding and analysis tools, you have opinions about where they help and where they fail, and you keep up with what's changing. We're not looking to persuade anyone that these tools are worth using. Track record of owning complex, ambiguous projects end to end and working directly with product and senior leadership — including pushing back on requirements when they're wrong Apply Now About the company Doma Actively Hiring Machine intelligence making residential real estate simple and efficient 1001-5000 Employees San Francisco 1001-5000 Real Estate Financial Services Machine Learning Artificial Intelligence Insurance Finance Technology Real Estate Technology Fin Tech Insurtech Top 10% of responders Responds within two weeks B2B Public Stage 4.7 Highly rated 4.7 Work / Life Balance 4.5 Strong Leadership Employees joined from Fidelity National Title First American Title North American Title Company Stewart Title Old Republic Title Insurance Group Learn more about Doma Funding AMOUNT RAISED $216.6M FUNDED OVER 5 rounds Rounds C $123000000 Series C - May 2020 +4 View Doma's funding history Perks Comprehensive Health & Wellness Multiple coverage options, so you can find the right fit for your Health, Vision, Dental, 401k, Life Insurance and AD&D. Retirement benefits A modern, helpful 401(k) plan Equity benefits Highly competitive salaries and stock option grants Work-life Flexibility Generous paid time off and family leave, flexible working options depending upon the role. Unlimited PTO. Career Development Fully support the career growth of our team and provide access to development opportunities at all levels. Explore Doma's perks and benefits Founders Max Simkoff CEO San Francisco View the team Similar Jobs Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Ezeiatech Systems IT Consulting AI/ML Engineer ₹6L – ₹20L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI Data Scientist - Junior role - 8 position ₹10,000 – ₹35,000 • 0.1% – 0.5% Apply Infinite Analytics Consumer Insights AI Platform Data Scientist ₹10L – ₹20L • 0.05% – 0.15% Apply Wynd Labs Making AI Data Accessible. Building a suite of products powered by Grass Web Scraping Specialist $70k – $140k • No equity Apply Javis Enterprise Works Platform Senior Machine Learning Engineer ₹27L – ₹45L • No equity Apply Pave Pave delivers AI-powered Cashflow Analytics for consumers and SMB credit risk teams Data Scientist $170k – $250k • 0.1% – 0.5% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Speak Actively Hiring AI language tutor that helps you speak B2C Growth Stage Top Investors +3 Save Apply Now Machine Learning Engineer, Voice $200k – $300k | Remote ( United States ) • San Francisco |Full Time Posted: 12 months ago Job Location San Francisco Remote Work Policy In office - WFH flexibility Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed Hiring contact Kelli Presto Employee About the job About us Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. About this role We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect our end users. We are a small, dynamic team where you will contribute as a developer and thought partner on team projects like ASR, assessment, pronunciation, content personalization, and much more. This is an incredibly exciting time to join an ML team designing a personalized learning experience that will revolutionize language learning for millions of learners worldwide — come join us! What you'll be doing Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining Improving the pronunciation model that provides precise feedback, and make it more central to our learning app Creating metrics to measure ASR performance across tasks and languages Expanding our ASR systems to new languages and markets Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines What we're looking for Extensive experience training large models on GPUs and deploying custom deep learning models Proficiency in Python and common Deep Learning frameworks like PyTorch Demonstrated experience owning ML pipelines end to end, from POC to production Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience Bonus Experience with speech or audio Office San Francisco, CA Why work at Speak Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company. Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply. Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, Tokyo, and Taipei, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel. Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives. Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Apply Now About the company Speak Actively Hiring AI language tutor that helps you speak 51-200 Employees San Francisco 51-200 Artificial Intelligence Mobile App Subscription Mobile Education Language Learning Artificial Intelligence Speech Recognition B2C Growth Stage Top Investors YC Funded Valuation $1B+ Growing fast Learn more about Speak Funding AMOUNT RAISED $27M FUNDED OVER 3 rounds Rounds B $27000000 Series B - Nov 2022 +2 View Speak's funding history Founders Connor Zwick Founder San Francisco Andrew Hsu Founder San Francisco View the team Similar Jobs Astranis Building next-generation internet satellites to get the world online Senior Mechanical Engineer $145k – $195k Apply Astranis Building next-generation internet satellites to get the world online Hardware Test Software Engineer $115k – $150k Apply Astranis Building next-generation internet satellites to get the world online Senior Hardware/Production Test Software Engineer $150k – $215k Apply Watney Robotics Intelligent Robots, Today Senior Mechanical Engineer - Robotics $180k – $220k • 0.1% – 0.2% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply Samara Aerospace Designs & builds high-precision satellite buses for Earth observation & comms Mechanical Engineer $130k – $160k Apply Eight Sleep Designed to help you fall asleep faster and stay asleep Senior Electrical Engineer $140k – $200k Apply Eight Sleep Designed to help you fall asleep faster and stay asleep Senior Thermal Engineer $140k – $200k Apply Mintlify Join us in our mission to empower builders Senior Solutions Engineer - Pre Sales (SF) $250k – $315k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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THORN Actively Hiring Thorn builds technology to defend children from sexual abuse Top 10% of responders Responds within two weeks B2B +1 Save Apply Now Senior Machine Learning Engineer Remote ( Everywhere ) |Full Time Posted: 3 weeks ago• Recruiter recently active Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Julie Cordua Employee California About the job About the Role As a Senior ML Engineer at Thorn, this role will build, deploy and maintain world class models, classifiers and algorithms to increase Thorn’s capabilities to achieve our mission of the elimination of child sexual exploitation. They will directly contribute to the Machine Learning team’s critical function in Thorn’s mission - building automated solutions that: Reduce the time it takes to identify a child sexual abuse victim, elevating the most vulnerable and high risk victims from an ocean of online content Enable the removal of child sexual abuse material from the internet, finding known and new content Prevent abuse from happening in the first place, detecting abusive content and behavior before it spreads They are responsible for ensuring that their work is high quality, as well as collaborating with other ML Engineers to ensure team success. They will thrive in highly ambiguous problem spaces and be able to creatively build scalable solutions with minimum direction. They demonstrate persistence and strong technical expertise to navigate legal, product, and technical constraints. They are responsible for partnering with the engineers, product manager and designers across different products to drive requirements, as well as any relevant external partners, taking into account all parties’ needs. What You’ll Do Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms Identify data sourcing and labeling needs for your work, partnering with the Sr. Technical Program Manager to ensure data requirements are visible and prioritized. Work closely with specialists at Thorn to create data labeling guides and support labeling efforts. This may involve engaging with sexually explicit material that is not child sexual abuse material Review system design/code in close collaboration with other ML Engineers Collaborate with engineers on product teams to maintain and deploy models, algorithms, and model serving infrastructure Clearly communicate and document problem formulation, feature design, training, and evaluation results to technical and non-technical audiences Build relationships and collaborate with external partners Present technical work at conferences and other external forums, representing Thorn and sharing insights with the community Identify novel solutions for solving online child safety problems. Stay abreast of technical developments and breakthroughs with an eye towards applying solutions to our issue space. Collaborate with product managers, designers, and product owners to define scope of work and drive understanding of user needs Conduct data analysis as needed to improve cross-functional understanding Collaborate with product and engineering in pre-planning/planning sessions, software design, and model development sessions Collaborate with UX to engage with users, translating user needs into features and deliverables What We’re Looking For You have a commitment to putting the children we serve at the center of everything you do You have a willingness to learn about online child safety and victim identification. You have 5+ years background in machine learning and/or artificial intelligence. You also have a Ph.D or master’s degree in a quantitative field, or equivalent professional experience. You have experience in designing and building machine learning systems and pipelines for production You have experience deploying computer vision and/or natural language processing in production. You have an ability and interest in learning new technologies quickly You can work with ambiguity, shifting requirements, and collaborate with cross-functional internal and external stakeholders You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy for your team and strong advocacy for our users, while balancing the vision and technical constraints of engineering You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial Technologies We Use (for relevant roles) AWS Python Pandas PyTorch scikit-learn/scipy Terraform CI/CD Pipelines Tensorflow with Keras Hugging Face Transformers/Diffusers OpenCV FAISS or other vector stores ONNX/onnxruntime Kubernetes Compensation and Benefits A reasonable estimate of the compensation range for this role is $154,000 - $212,750/year. This range takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to location; skill sets; experience and training; licensure, and certifications. Our remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences. At Thorn, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Thorn can mean for you. Apply Now About the company THORN Actively Hiring Thorn builds technology to defend children from sexual abuse 51-200 Employees Los Angeles 51-200 Non-Profit Nonprofits Startups Technology Top 10% of responders Responds within two weeks B2B Growth Stage Employees joined from Google Amazon Microsoft HUMAN Animal Equality Learn more about THORN Similar Jobs Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Monsoon CreditTech Machine learning based lending platform for banks, card issuers and other lenders Data Scientist ₹7L – ₹14L • No equity Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Voicera.io Believe what you hear. Trust what you see Chief AI & co-Founder $1k – $1k • 4.0% – 6.0% Apply Infinite Analytics Consumer Insights AI Platform Data Scientist ₹10L – ₹20L • 0.05% – 0.15% Apply Wynd Labs Making AI Data Accessible. 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Deepgram Actively Hiring AI speech API for transcription with human-level understanding Responds within three weeks B2B Growth Stage +3 Save Apply Now Research Engineer, Machine Learning Systems $150k – $250k | Remote ( United States ) |Full Time Reposted: 5 days ago• Recruiter recently active Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Mark Butler Recruiting About the job Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The Opportunity Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The Role Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go. Key Responsibilities Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role focuses on making model development significantly faster and more efficient through optimized data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling. Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling. Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage. The Challenge We are seeking Members of the Research Staff who: See "unsolved" problems as opportunities to pioneer entirely new approaches Can identify the one critical experiment that will validate or kill an idea in days, not months Have the vision to scale successful proofs-of-concept 100x Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. It's Important to Us That You Have Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems. Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect. Familiarity with ML lifecycle tools such as MLflow. Experience building internal tools or dashboards for non-technical users. Hands-on experience with data engineering practices for unstructured audio and text data. Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders. Why Join Deepgram? At Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale. **Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com. Apply Now About the company Deepgram Actively Hiring AI speech API for transcription with human-level understanding 51-200 Employees San Francisco 51-200 Artificial Intelligence Software Development Machine Learning Audio Artificial Intelligence Natural Language Processing Developer APIs Speech Recognition Technology Business Analytics Call Center Automation Deep Learning Unified Communication Artificial Intelligence / Machine Learning Responds within three weeks B2B Growth Stage Top Investors YC Funded Growing fast Learn more about Deepgram Funding AMOUNT RAISED $132.8M FUNDED OVER 5 rounds Rounds B $47000000 Series B - Nov 2022 +4 View Deepgram's funding history Perks Healthcare benefits We are partnering with Kaiser (CA only) & Anthem, we offer Kaiser HMO, Anthem PPO, and Anthem HDHP with HSA. The cost for medical benefits is 90% covered by Deepgram. Parental leave Generous 16 week parental leave Generous vacation Unlimited PTO and flexible work from home policy Annual Wellness Stipend Group Pet Insurance Deepgram employees can now cover the cost of pet bills with Pets Best pet health insurance! Choose from Essential, Plus, or Elite coverage. Community Groups & ERGs As part of our Diversity, Equity, and Inclusion (DE&I) Program, Employee Resource Groups (ERGs) provide Deepgrammers from underrepresented communities a place to connect and provide mutual support. The voluntary, employee led groups allow p Explore Deepgram's perks and benefits Founders Noah Shutty Founder San Francisco Scott Stephenson Founder San Francisco View the team Similar Jobs lvlAlpha Next-Gen Integrated Wearables and Human Augmentation Products for High Risk Environments Mechanical Design Associate (Fixed Tenure) ₹1.2L – ₹1.8L • 0.0% – 0.1% Apply HealthX Prevention and early-stage detection of cardiovascular disease Experienced Microelectronics/PCB Design Engineer $30k – $90k • 0.0% – 2.0% Apply SPREAD Know your product inside out Senior Solutions Consultant (Value Engineering) €100k – €140k • No equity Apply Neuralink Ultra-high bandwidth brain-machine interfaces to connect humans and computers Optical Engineer $86k – $143k Apply Wynd Labs Making AI Data Accessible. Building a suite of products powered by Grass Network Infrastructure Engineer (DevOps) $70k – $140k Apply YipitData A remote-first company with employees across the globe. 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Coinbag Coinbag helps clients invest & earn interest in crypto through our automated tools Early Stage Save Apply Now Machine Learning Engineer $65k – $115k • 0.1% – 0.5% | Remote ( Everywhere ) |No experience required |Full Time Reposted: 4 years ago Hires remotely in Everywhere Remote Work Policy Remote only Visa Sponsorship Available Relocation Allowed Skills Python Haskell Machine Learning Scala Full Stack Development Deep Learning React.js Solidity Blockchain Smart Contracts React Native Ethereum, Solidity and writing smart contracts About the job Machine Learning Engineer @ Coinbag At Coinbag, engineers develop in every part of the code and we mean every part. We embrace technology and innovation. It is a critical skill for every engineer to be language & technology agnostic - meaning not only do you have the ability to pick up new languages and technologies quickly, but you are able to turn around and implement them with high quality, best practices. You don’t mind building mathematical models, creating smart contracts, pixel pushing on the marketing page or spinning up servers, and everything in between. We are a well-funded startup team and we are seeking individuals that want to bring innovation and make an impact. To take on this role, you will need to be ambitious, decisive, open minded and results driven. You will have the opportunity to work closely with our experienced co-founding team to execute on the roadmap as well as have a voice in what we decide to build going forward. If all that sounds good to you, check out below. Responsibilities Develop solutions keeping in mind decentralization Design infrastructure able to support a wide variety of situations while optimizing cost Automate anything that can be automated, we ate manual work Monitor and implement highest quality security standards Qualifications & minimum requirements We are looking for smart people that have experience writing software, no degree or papers required Our stack Anything... and many things :) Scala NodeJs Python Solidity Haskell Blockchains: Terra, Cardano, Ethereum, Binance Smart Chain, Cosmos, Polkadot, Solana, and more) About Coinbag We are well-funded, blockchain-based company focused on automated cross-chain crypto interest optimization. Our mission is to make cryptocurrency investing simple for the every day investor. We work with our customers crypto portfolio to maximize interest earned on their holdings. Why Coinbag Competitive salary Company equity + access to pre-sale of token Get paid in cryptocurrency 100% remote Flexible work hours Full-time, ongoing contract work so you can benefit from tax write-offs Unlimited time off - though we will ensure minimums to make sure people take time! Work with a team of experience blockchain experts Apply Now About the company Coinbag Coinbag helps clients invest & earn interest in crypto through our automated tools 11-50 Employees Remote 11-50 Financial Services Technology Cryptocurrency Blockchains Fin Tech Blockchain / Cryptocurrency Early Stage Employees joined from Osaka University PTT Exploration and Production AI and Robotics Ventures Learn more about Coinbag Funding AMOUNT RAISED $1M FUNDED OVER 1 round Round S $1000000 Seed - Jan 2022 View Coinbag's funding history Founders Jeff Owens Founder Bangkok View the team Similar Jobs Decorilla (We're Hiring!) Interior Design 2.0 (VR/AR/3D) Decorilla Fullstack Web Developer $30k – $45k Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Yuusoft We are building a dedicated platform for Visual Novels Software Engineer Intern $7k – $10k • No equity Apply ELICE Build, train, and upskill - all in one AI ecosystem Full-stack Engineer $40k – $60k • No equity Apply PAVE Bank We're building a startup bank Senior/Staff Golang Backend Engineer $75k – $150k Apply Nika Trade anything. Own everything Senior Engineer (Full-Stack, Web3) $150k – $220k • 0.0% – 2.0% Apply WTFox.ai Changing the way teams interact with CRM. Chat-to-AI Software Developer Intern (AI-Assisted Development) $1k – $2k SGD Apply Gengis AI Gengis is building AI-native software for film, content, and virtual production teams Lead Full Stack Engineer, AI Product $50k – $70k Apply ouvar ouvar connects fragmented FMCG POSM supply chains into one operating model Front End Developer (React + AI-Assisted Product Development) ₱40k – ₱60k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Role Details Full-Time Office Location - New York City (hybrid) Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world, this is the place. Role Overview We're looking for an AI Engineer to help build the agentic platform at the core of Translucent: the AI financial platform transforming how healthcare organizations make business decisions. You'll work hands-on across R&D and platform engineering — improving the underlying agent capabilities every team builds on, rather than configuring agents for a single customer. You'll standardize the tool surfaces new capabilities plug into, make the agent platform ready to integrate across products, and own the evals, context, and harness engineering that make it reliable enough for healthcare finance. You'll match the right agentic architecture to each use case, turn core capabilities into an ecosystem others build on, and own quality end-to-end. If you are energized by fast-paced environments, love sweating the details of production AI systems, partnering closely with product and design, and seeing your work in customers' hands quickly, you'll feel at home here. What You’ll Do Standardize tool and skill surfaces — define the contracts (MCP-style tool, connector, and skill interfaces) that let us add new capabilities continuously without destabilizing the platform as it grows Make the agent platform integration-ready — build the connective tissue so agents, tools, context, and data compose cleanly across products, and match the right agentic architecture to each use case Own evals and benchmarks — build production-grade eval harnesses, replay, and benchmarks for agentic AI, and gate releases on them; in healthcare finance, accuracy is non-negotiable Lead context and harness engineering — establish best practices for grounding agents in each customer's business rules and data, and for the control loops that keep outputs reliable Fine-tune and evaluate models — fine-tune in-house and open-source models, benchmark them against frontier baselines, and make the build-vs-buy calls on model, framework, and infra Turn capabilities into an ecosystem — build reusable core capabilities that translate across features and products, and ship them end-to-end with product and design What You Have 3+ years of software engineering experience, with meaningful production work in Python Direct experience shipping LLM-powered or agentic systems in production — not just prototypes. You know where models fail and how to make them reliable Hands-on experience with at least one modern agent framework (LangGraph, Google ADK, LlamaIndex, Claude Agent SDK, or equivalent), and a clear point of view on what to use vs. build Production evals and benchmarking — you've built eval harnesses and benchmarks that gate real releases, not one-off spot checks Context engineering — grounding agents through retrieval, context layers, and knowledge transfer so outputs match a specific org or user Comfort with the data and retrieval layer — SQL, BigQuery or a comparable warehouse, embeddings, and vector search A bias toward shipping — you take an ambiguous problem to a working V1 fast, then iterate Plus deep, demonstrable expertise in at least one (ideally two) of the following: Tool-surface and connector platform engineering — standardized tool/skill contracts (e.g., MCP) and connector ecosystems that scale without breaking Harness and loop engineering — agent control loops, orchestration, and inference harnesses; right-sizing agent architecture per use case and keeping it reliable at scale Open-source and in-house model fine-tuning — fine-tuning open models and benchmarking them against frontier baselines Production context-layer engineering — systems that capture business rules and preferences and feed them to agents reliably Nice to Have Experience with healthcare finance, accounting, or other structured financial data — or genuine curiosity about it Applied ML or model-evaluation research background Open-source contributions to agent or LLM tooling Experience designing tool-use APIs or developer-facing AI products Familiarity with our stack: Vertex AI (Gemini, Claude on Vertex), GenKit, MCP, BigQuery Experience Level We're looking for engineers who own meaningful surface area and drive work forward independently. You'll bring sharp judgment on architecture and build-vs-buy trade-offs under ambiguity, a bias toward shipping a working V1 fast, and the craft to make agentic systems reliable enough for healthcare finance — not just demos. https://www.translucent.co/ Base Salary : $175,000-$275,000 USD + equity Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering Industries Hospitals and Health Care Referrals increase your chances of interviewing at Translucent AI by 2x See who you know
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DataDome Actively Hiring To free the web from fraudulent traffic B2B Growth Stage Save Apply Now AI Engineer $55k – $65k | Remote ( France ) |Full Time Posted: 4 weeks ago• Recruiter recently active Hires remotely in France Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Sonia Nabih Employee Paris About the job DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic—human, bot, or AI. Named a Leader in The Forrester Wave™ for Bot And Agent Trust Management Q2 2026, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds—letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 80+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories—delivering protection that outperforms. ⭐ About the team: Made up of six subteams (Dashboard, Engine, Infrastructure, Integrations, Threat Research & Security), the DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day giving responses within 3ms (99p). We are present in more than 29 data centers around the world, deployed using Docker. We deploy on AWS, Scaleway and GCP, using Docker, Ansible and Terraform, and monitor with Grafana and Prometheus. We handle an average of 8 billion requests per day and manage more than 300 TB of data per month. When it comes to our stack, we run real-time detection layer in Java, low latency Stream Engine running on Flink in Scala, ElasticSearch for storage, Kafka for communication between layers, HAProxy for load balancing, Symfony & Angular for our dashboards. While previous experience in cyber is not a must, we'll pair you with mentors who will help you bridge the gaps. As #growth is part of our DNA, we’ll give you the resources and support you need to develop mastery. You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through client-side technologies. Your goal will be to challenge and improve our detection capabilities. You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through advanced algorithms and data-centric approaches. Your goal will be to challenge and improve our detection capabilities using generative AI capabilities. 👉 You will be more specifically in charge of things like... Applying generative AI to detection topics for the Threat Research teams. For example, use a crew of agents to automate traffic analysis and speed up SOC team response to requests. Injecting generative AI in DataDome products for Threat Research related features like generating a detection summary based on past detection improvement. Proactively looking for and develop generative AI use cases for fraud detection. Collaborating with other tech teams to deliver AI powered features. Building Gen AI stack at DataDome in the Cloud (AWS or GCP) 👤 It would be great if you have: First experience in applied AI Engineering At least 2 years of experience programming in Python Strong computer science background Good LLM / AI Engineering theoretical knowledge A "hacker" spirit Good communication skills (oral and written) Nice to have GCP VertexAI of AWS Bedrock knowledge Multi agent framework (i.e. CreawAI) experience Pytorch experience What’s in it for you? Flex Life: While we offer remote options our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace. If you are full remote, the SNCF dicount card is paid for you to come to our office to visit us & your team monthly! Generous Health Benefits: We have partnered with Kenko for your healthcare needs. A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture. Annual allowance of €200 if you come to the office by bike to cover maintenance costs. Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager. Events & Team building: #We care and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture PTO: Based on the country you are based from (e.g. 25 days in France). What are the next steps? You x Talent Acquisition Manager : first interview and cultural fit You x Engineering Manager : technical and cultural fit + Take-home technical challenge You x Team: Presentation and review of your "technical proposal" with the team You x Member of the leadership team - Discussion about DataDome vision and "raison d'être"! Now you really met everyone! Welcome to DataDome :) DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. Apply Now About the company DataDome Actively Hiring To free the web from fraudulent traffic 51-200 Employees New York City 51-200 SaaS Artificial Intelligence Cyber Security Bots B2B Growth Stage Learn more about DataDome Funding AMOUNT RAISED $42M FUNDED OVER 1 round Round C $42000000 Series C - Mar 2023 View DataDome's funding history Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Voicera.io Believe what you hear. 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timepay.ai Actively Hiring We build intelligent Voice Agents and AI Models for enterprises Early Stage Save Apply Now Prompt Engineer ₹5L – ₹8L • No equity | Remote ( Everywhere ) |1 year of exp |Full Time Reposted: 2 months ago• Recruiter recently active Hires remotely in Everywhere Remote Work Policy Remote only Company Location India Visa Sponsorship Not Available Preferred Timezones Maldives Time Relocation Allowed Skills Business Operations Communication Skills AI Functional Testing Prompt Engineering Generative AI Hiring contact Anmol Gupta Employee About the job ABOUT TIMEPAY.AI At timepay.ai we are on a mission to revolutionize how enterprises connect with their customers. Traditional approaches to collections, sales, and customer engagement are outdated—impersonal, inflexible, and wasteful of resources. We build and deploy intelligent, human-like AI agents that operate 24/7, using predictive analytics to make communication more efficient, effective, and empathetic. What we've built: Vox-v1 - Our flagship TTS engine with 15+ emotions, 12+ languages, and sub-100ms latency. Voice AI Agents - Autonomous agents handling millions of inbound & outbound calls. Automated workflow across multiple channels i.e sms, email whatsapp etc. POSITION OVERVIEW We're hiring for a Prompt Engineer at timepay.ai — and this is one of the most exciting roles we're opening right now. If you've worked in client delivery, automation, process excellence, customer support QA, business analysis, or CX transformation, and you've spent time working with AI-driven workflows or bot-building platforms, this role is built for you. You'll work closely with our product and engineering teams to design, refine, and implement prompts and bot flows using the Timepay format for our clients — across customer support, collections, reminder systems, onboarding journeys, and custom automation. It's a mix of language, logic, client management, and product thinking — with direct ownership over how our AI agents behave in production. YOUR ROLE Responsible for designing, developing, and optimizing prompts for AI models to ensure accurate, contextually relevant, and high-quality outputs. Test prompts against our QC output to consistently refine for higher accuracy. Collaborate with cross-functional teams, including AI researchers, and product managers, to create and refine prompts that enhance the performance of our AI solutions. Conduct experiments and A/B testing to evaluate and improve prompt performance. Analyze user feedback and data to refine and enhance prompt effectiveness. Stay up-to-date with the latest advancements in AI and natural language processing (NLP) technologies. Document prompt engineering best practices and contribute to knowledge sharing within the team. QUALIFICATIONS Pursuing/Pass-out in bachelor's or Master's degree in Computer Science, Artificial Intelligence, English, Journalism, or a related field. Strong proficiency in English (Other language is an advantage). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment. SOUNDS LIKE YOU? User-obsessed: Users come first, above all else. Communication: You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts. Timeliness: You respect timelines and communicate beforehand if there is a blocker. Ownership: You proactively take initiative to find solutions and focus on what must be done to create success. Grit: You pursue challenging goals with passion and courage. Intellectual curiosity: You want to constantly push yourself out of your comfort zone to try and learn new things. Entrepreneurial: You are empowered to take decisions and act on them, treating this startup as your own. What We Offer Competitive Package: Attractive salary and equity options—grow with the company. Technical Impact: Build systems that power AI agents serving India's leading financial institutions. Growth Opportunity: Join a fast-growing startup where your technical decisions have direct business impact. Engineering Culture: Work with a team that values clean code, system design excellence, and continuous learning. Flexibility: Hybrid work model with focus on results and technical excellence. Ready to Join Us? If you're excited about building robust, scalable systems that power the future of enterprises, we'd love to hear from you. Come help us build the infrastructure that will transform enterprises engage with their customers through. Apply Now About the company timepay.ai Actively Hiring We build intelligent Voice Agents and AI Models for enterprises 1-10 Employees India 1-10 SaaS Artificial Intelligence Software Development B2B Artificial Intelligence Early Stage Learn more about timepay.ai Founders Vedant Valia CEO View the team Similar Jobs Otterz AI Native Accounting for Businesses Accountant with CPA Designation at Otterz $20k – $80k Apply Caimera Caimera is an AI Tool that helps brands go from concept to campaign with powerful on-brand visuals AI Fashion Prompter ( Remote) @Caimera ₹3L – ₹3.5L • No equity Apply Letzstepin One-Stop ameliorated #Superapp, Virtual Venue Exploration at your fingertips, Hassle-free Human Resource Specialist Intern ₹2,000 – ₹5,000 • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI HR Executive - Female Only Fresher (3 Month Internship + PPO) ₹3,000 – ₹5,000 • No equity Apply Proof of Skill A protocol where experts collectively authenticate skills & issue Skill Credentials Associate - Finance ₹8L – ₹12L • 0.5% – 1.0% Apply Dharmik Vibes Connects you to spiritual services, poojas, rituals, and temple travels digitally Spiritual Travel & Temple Operations Head ₹4L – ₹5L • No equity Apply Ekahal Think Studio focused on Technology, Marketing and Design Finance and Administration Manager (Remote) ₹3L – ₹4.2L • No equity Apply Grexa AI Marketing AI Platform for Small Businesses Program Associate ₹4L – ₹7L • No equity Apply LearnTube.ai (backed by Google) Personalised, 1:1 Live Learning Delivered by AI-Personas To Help Upgrade Your Career Founder's Office (Product OR Growth) ₹15L – ₹24L • 0.01% – 0.5% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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RxGPT Actively Hiring Driving smarter hospital operations with trusted AI Save Apply Now AI Engineer (Internship) Remote ( Everywhere ) |No experience required |Full Time Posted: 1 week ago• Recruiter recently active Hires remotely in Everywhere Remote Work Policy Remote only Company Location Boston • California • Dubai • India • London Visa Sponsorship Not Available Relocation Not Allowed About the job Key Responsibilities Model Development: Assist in designing, training, and evaluating machine learning models. Data Preprocessing: Work on cleaning, structuring, and preparing datasets for training and testing. Feature Engineering: Support optimization of features to improve model accuracy and efficiency. Integration: Collaborate with engineering teams to integrate AI solutions into workflows. Documentation: Maintain clear records of experiments, findings, and technical processes. Research: Explore emerging AI techniques (RAG, agents, tool use systems) and apply them to company projects. Qualifications Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, or related fields. Strong knowledge of Python, Java, or C++. Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit‑Learn). Understanding of databases (SQL, PostgreSQL, MySQL). Experience with Git/GitHub and collaborative coding. Prior project experience in AI/ML is a plus. Internship Details Duration: 90 days (3 months) Engagement: Remote‑first, flexible hours Compensation: Unpaid internship (performance may lead to future opportunities) Benefits: Access to mentorship, learning resources, and exposure to real‑time AI projects. Apply Now About the company RxGPT Actively Hiring Driving smarter hospital operations with trusted AI 11-50 Employees Boston 11-50 Artificial Intelligence Learn more about RxGPT Perks Healthcare benefits Your health matters as much as the ones you help improve. We provide comprehensive health insurance coverage, including medical, dental, and mental wellness plans, ensuring you and your family stay protected and cared for — wherever you are Parental leave We believe family always comes first. RxGPT Health offers generous paid parental leave for all parents — mothers, fathers, and caregivers — ensuring you have the time and support you need to welcome new life and return to work refreshed and Remote friendly Work from anywhere, collaborate everywhere. As a remote-first organization, RxGPT Health empowers you to work flexibly — from home, a co-working space, or one of our innovation hubs — with seamless tools that keep our global teams connected Generous vacation We encourage balance and renewal. Our flexible paid time-off policy allows you to rest, recharge, and return inspired — because meaningful innovation requires a healthy mind and a rested team. Company meals Shared meals foster shared ideas. We provide meal allowances and team lunch programs during key project weeks and company offsites, encouraging connection and collaboration beyond the screen. Wellness benefits Your well-being is our priority. We offer wellness stipends, mental health resources, and virtual fitness programs to help you stay physically active, emotionally grounded, and mentally strong. Commuter benefits For hybrid employees, RxGPT provides commuter support, including travel reimbursements and sustainable mobility options — making your journey to work more convenient and eco-friendly. Pet-friendly office Because wellness includes our furry friends too. At RxGPT Health, we welcome pets in select offices and offsites — creating a warm, relaxed, and joyful workspace that keeps everyone’s spirits high. Professional development We believe learning never stops. RxGPT Health offers continuous learning programs, mentorship, and sponsored certifications in AI, data science, and healthcare innovation to help you grow your career with purpose and confidence. Company events Connection is the heart of innovation. From global offsites and virtual town halls to cultural celebrations and team-building activities, our company events bring together diverse minds to share ideas, achievements, and inspiration. Volunteer opportunities We’re a company built on compassion. Our volunteer and community engagement programs encourage employees to give back — from digital health awareness drives to sustainability and education initiatives that create lasting social impact. Miscellaneous Beyond the essentials, we support what matters most to you — from annual innovation awards and flexible work arrangements to recognition programs and mental health days. At RxGPT Health, we care for the whole person — not just the professio Explore RxGPT's perks and benefits Founders Pragya Patnaik Founder India View the team Similar Jobs Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Flow Engineering Collaborative design for complex hardware projects Software Engineer- London £70k – £120k • 0.01% – 0.1% Apply Countly Product Analytics and Innovation. 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TurboMail Email, but actually intelligent. The first email client that runs AI entirely on your device Save Apply Now Ai Engineer Remote ( Everywhere ) |1 year of exp |Full Time Posted: 5 months ago Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Available Preferred Timezones Eastern Time Relocation Allowed About the job Company Description TurboMail is an AI-powered email client revolutionizing email privacy by ensuring all AI functionalities operate entirely on your device without relying on cloud-based services. Unlike traditional email applications, TurboMail prioritizes user privacy by avoiding data harvesting and external processing. The platform offers features like automatic email summarization, conversational AI for your inbox, personalized reply drafting, AI-assisted calendar synchronization, and local web search with summarization. TurboMail supports popular email providers like Gmail, Outlook, and any IMAP platform, and is compatible with macOS and Windows. Built with cutting-edge technologies such as Electron, React, Python, and HuggingFace Transformers, TurboMail delivers a secure, seamless, and feature-rich experience. Role Description This is a full-time, on-site position based in New York, NY for a Founding AI Engineer. The Founding AI Engineer will lead the development of TurboMail's AI functionalities, overseeing the design, training, and optimization of machine learning models with a focus on on-device performance. Daily responsibilities include implementing scalable software architectures, refining natural language processing (NLP) applications, and enhancing tools for email summarization, scheduling automation, and voice response systems. Collaboration with cross-functional teams and contributing to product growth will be critical to this role's success. Qualifications Strong foundation in Computer Science, with a focus on software development and scalable architectures In-depth understanding and experience in Pattern Recognition and Neural Networks Expertise in Natural Language Processing (NLP) and hands-on experience with related frameworks and tools Proficiency in software development languages such as Python, along with frameworks like React and Electron Ability to optimize AI models for on-device performance using platforms like HuggingFace Transformers Demonstrated problem-solving skills and a passion for data privacy and security Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field Apply Now About the company TurboMail Email, but actually intelligent. The first email client that runs AI entirely on your device 1-10 Employees New York 1-10 Artificial Intelligence Learn more about TurboMail Similar Jobs Carbon Trail AI powered sustainability platform for fashion and retail industry Customer Success & Technical Project Manager ₹20L – ₹25L • 0.2% – 0.5% Apply Dayli An AI-powered personal OS for lifestyl wellness, and financial transformation Software Engineer (Mobile App – React Native / Swift / UI/UX $10k – $20k • 0.25% – 1.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply Anagram The easiest way for marketers to create AI agents Founding Engineer $110k – $190k • 0.5% – 1.5% Apply WeMove Reinventing the moving industry with modern technology Senior Full-Stack Developer Logistics Platform (Equity-Only to Start) US-based only (React/Node) $80k – $100k • 1.0% – 2.0% Apply reevv Reevv is the credibility layer between retail investors and financial influencers Blockchain Developer $36k – $50k • No equity Apply drytis From idea to deployed app in minutes with your AI partner AI engineer $20k – $40k Apply VeryAI A more human internet. In the palm of your hand Engineer (Full Stack) $120k – $200k • 0.0% – 0.5% Apply Vinny Vinny is the AI teammate for property teams that automates key workflows across the rental lifecycle Full Stack AI Engineer £65k – £120k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Casino Alpha An international casino directory Save Apply Now AI Engineer Remote ( Everywhere ) |3 years of exp |Full Time Posted: 10 months ago Hires remotely in Everywhere Remote Work Policy Remote only Company Location London • Bucharest Visa Sponsorship Not Available Preferred Timezones Eastern European Time Relocation Allowed Skills Python Javascript Machine Learning Generative AI LangChain Retrieval-Augmented Generation (RAG) RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB About the job Job Summary We are seeking a talented AI Engineer to join our growing technology team and drive the next generation of AI-powered solutions in the iGaming industry. This role will focus on developing and implementing cutting-edge machine learning models, fine-tuning large language models, and building robust AI infrastructure to enhance player personalization, content generation, and predictive analytics across our platforms. Key Responsibilities Machine Learning & Model Development: Design, develop, and deploy machine learning models for player behavior prediction, churn analysis, and lifetime value optimization Fine-tune large language models (LLMs) for content generation and review analysis Implement recommendation systems for personalized casino and bonus suggestions AI Infrastructure & Vector Databases: Build and maintain vector databases for semantic search, content similarity, and recommendation engines Implement and optimize embedding models for text, user behavior, and content vectorization Design scalable AI pipelines using modern MLOps practices and tools Manage model versioning, A/B testing, and performance monitoring systems LangChain & Conversational AI: Develop conversational AI systems using LangChain for customer support and player engagement Build RAG (Retrieval-Augmented Generation) systems for intelligent content creation and casino information retrieval Implement multi-agent systems for complex iGaming workflows and decision-making processes Create chatbots and virtual assistants for enhanced user experience Data Engineering & Analytics: Work with large-scale datasets from multiple iGaming platforms Implement real-time data processing pipelines for live player analytics Develop ETL processes for model training and inference data preparation Collaborate with data scientists to transform business requirements into technical solutions AI-Powered Features: • Build personalization engines for content, bonuses, and game recommendations • Develop sentiment analysis systems for review and feedback processing Required Qualifications Technical Skills: Programming: Proficiency in Python, with experience in R or Scala as a plus Machine Learning: Strong foundation in ML algorithms, deep learning, and statistical modeling LLM Fine-tuning: Experience with transformer models, PEFT techniques (LoRA, QLoRA), and model optimization Vector Databases: Hands-on experience with Pinecone, Weaviate, Chroma, or similar vector storage solutions LangChain: Proficiency in building applications with LangChain, LangGraph, and related frameworks Cloud Platforms: Experience with AWS, GCP, or Azure ML services Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn Databases: SQL, NoSQL, and experience with time-series databases MLOps: Docker, Kubernetes, MLflow, Weights & Biases, or similar tools Experience: 3+ years of experience in AI/ML engineering or related roles Experience with production ML systems and model deployment Background in recommendation systems, NLP, or computer vision Previous work with large-scale data processing and real-time systems Preferred Qualifications: Knowledge of responsible AI practices and bias detection Experience with multi-modal AI systems (text, image, structured data) Familiarity with graph neural networks and knowledge graphs Understanding of A/B testing and experimental design What We Offer Competitive Salary: Market-leading compensation package with performance bonuses Growth Opportunities: Work at the forefront of AI in the rapidly evolving iGaming industry Flexible Work: Remote work model Learning & Development: Budget for conferences, courses, and AI/ML certifications International Exposure: Collaborate with global iGaming partners and clients Health & Wellness: Comprehensive health insurance and wellness programs Team Culture: Join a results-oriented team that values professionalism and collaboration About Our Tech Stack AI/ML: PyTorch, Hugging Face, LangChain, OpenAI APIs, Anthropic Claude Vector DBs: Pinecone, Weaviate, TypeSense for semantic search and recommendations Cloud: Multi-cloud strategy Data: Redis, PostgreSQL Monitoring: MLflow, Weights & Biases, Grafana, DataDog Infrastructure: Docker, Kubernetes, Terraform, GitHub Actions Apply Now About the company Casino Alpha An international casino directory 51-200 Employees London 51-200 Information Technology Entertainment Marketing Web Design Web Development Learn more about Casino Alpha Founders Alex Bobes Founder Bucharest View the team Similar Jobs Modash.io We help e-com brands scale creator partnerships - 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Internet Sciences Actively Hiring Small Team. Global Reach. Real Products Responds within two weeks Save Apply Now AI Engineer 0.1% – 1.0% | Remote ( Everywhere ) |2 years of exp |Contract Posted: 2 days ago• Recruiter recently active Hires remotely in Everywhere Remote Work Policy Remote only Company Location New York City • Portland • Ukraine • Kenya Visa Sponsorship Not Available Relocation Not Allowed Skills Python SQL AWS/EC2/ELB/S3/DynamoDB AWS About the job Location: Remote Hours: 20 hours per week, flexible schedule Compensation: Equity-only, for now Internet Sciences Inc (https://internetsciences.co/) is a forward-thinking technology startup providing cutting-edge solutions that empower businesses to harness the full potential of the internet. Our mission is to create innovative solutions for our customers and develop our own products that enables seamless data processing and management, delivering value to clients across diverse sectors. We have partnered with cutting edge service providers, and recently launched our newest service, IOTiMax. We need an AI Engineer to help build AI into our products and our partners' systems. You'll see a wide range of domains and stacks, and your code will ship to production across multiple products. That mix means a diverse array of work: some weeks you'll add AI features to our own products; other weeks you'll build AI tools and services for partner customers—always shipping to real users, always growing and learning. This is applied AI engineering, not research. You’ll use existing models—OpenAI, Anthropic, AWS Bedrock—and turn them into features and services people use: assistants and chat interfaces, document and data extraction, search over a customer’s own data, and automation that saves real hours. If you can write solid Python and you’ve been building with these tools, you can do this job. Why Join Us? ● Join us for ~20 hours/week, remote and with small, dynamic teams. ● Compensation: Equity-first (no cash to start); potential for cash as milestones/revenue fund it. As we grow, we will transition our successful personnel to full-time roles. ● Trajectory: Opportunities to lead our AI roadmap, influence standards, and shape how AI shows up across every product we build. ● Work alongside US & global teams on production features and grow with a company where your code reaches users—not just demos. ● We have multiple roles with flexibility to help your career. Python plus modern AI/LLM tooling. Full-stack is a plus. Key Responsibilities ● Build and ship AI-powered features in our products and partner applications—turning models into working software people actually use. ● Work with LLM APIs (OpenAI, Anthropic, AWS Bedrock): prompt design, tool/function calling, and multi-step agent workflows. ● Build retrieval pipelines (RAG): document ingestion, chunking, embeddings, and search over customer and device data. ● Write the Python services and REST APIs that put AI in front of users—Django/DRF, background jobs, and third-party integrations. ● Test what you build: evaluation sets, accuracy and latency benchmarks, and guardrails so features behave in production. ● Collaborate with team members to define, design, and implement features. ● Adhere to best practices in software development, including version control (Git) and code quality. ● Troubleshoot and debug to optimize performance, cost, and reliability. Required Skills & Qualifications ● Proficiency in Python and building with AI/LLM APIs, see options above. ● Bachelor’s degree in Computer Science or related program. ● Practical experience calling an LLM API from your own code—a project, prototype, or shipped feature all count. ● Experience or understanding of REST APIs and their implementation. ● Strong knowledge of Git for version control. ● Experience with Visual Studio Code for development. ● Knowledge of best software development practices and principles. Highly Recommended Skills ● Experience with embeddings and vector stores (pgvector, FAISS, Pinecone, or similar). ● A knack for troubleshooting model behavior—working out why an output is wrong and how to make it right. ● Pandas/NumPy and comfort with messy, real-world data. SQL for database development. ● Experience with AWS services such as Bedrock, S3, CodeCommit, ECR, and RDS. ● Understanding of Docker, AWS/Azure, Kubernetes and design processes How to Apply Please include the below ● What interests you about Internet Sciences? ● Two links (repo or PR + something shipped) ● Anything you’ve built with AI—even a small prototype—and a note on what worked and what didn’t ● Time zone and weekly availability If you are a self-driven developer with a passion for technology and an eagerness to learn and grow, we would love to hear from you! Apply Now About the company Internet Sciences Actively Hiring Small Team. Global Reach. Real Products 11-50 Employees New York City 11-50 Internet of Things Big Data Analytics Mobile Application Responds within two weeks Learn more about Internet Sciences Similar Jobs Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Kinetic Trials Accelerate development of life changing therapies with the first agentic OS for clinical trials Head of Engineering / CTO $175k – $250k Apply Loyalist AI-powered revenue engine for hospitality Founding Account Executive $140k – $220k Apply Stealth Startup Senior AI Engineer -- Stealth Startup $150k – $200k • 0.1% – 0.5% Apply Kosha AI Turning in-person field sales convos into the largest dataset of commercial intelligence w/ voice AI Founding Engineer, Voice AI + Mobile $120k – $200k • 0.5% – 2.0% Apply Kosha AI Turning in-person field sales convos into the largest dataset of commercial intelligence w/ voice AI Founding Hardware Engineer, Smart Glasses and Computer Vision $120k – $200k • 0.5% – 2.0% Apply Earlston Academy AI Career Focused Skills Training Senior Software Engineering Instructor $80k – $150k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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drytis Actively Hiring From idea to deployed app in minutes with your AI partner Save Apply Now AI engineer $20k – $40k | Remote ( Everywhere ) |1 year of exp |Contract Reposted: 7 days ago• Recruiter recently active Hires remotely in Everywhere Remote Work Policy Remote only Company Location Delhi • Gurgaon • Noida Visa Sponsorship Not Available Relocation Allowed Skills Python Aiml Machine Learning Data Science Python About the job Hiring for my client - Job Title: AI Computer Science Engineer (Prompt Engineering & Client Support) Company: Drytis Type: Remote Contract Position/ Freelancer Compensation: $4.28 – $17.15 per hour (based on experience and performance) Responsibilities Engage with clients in live or asynchronous sessions to provide coding support and project guidance. Apply advanced prompt engineering and AI development techniques to enhance client workflows. Debug, refactor, and complete application features across various software stacks. Collaborate via remote cloud-based development tools and shared workspaces. Maintain detailed documentation of client sessions, tasks, and resolutions. Contribute to process improvement initiatives and platform optimization feedback loops. Qualifications Degree in Computer Science, AI, or a related field (or equivalent practical experience). Strong command of Python, JavaScript, or other common programming languages. Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools. Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations. Excellent communication skills for client-facing interactions (live and written). Comfortable working independently in a remote, fast-paced environment. Why Join Drytis? Work remotely with a flexible schedule. Collaborate with an innovative team reshaping how clients build tech solutions. Gain experience at the intersection of AI, software development, and real-time client support. Contribute to a growing company committed to human-AI collaboration and continuous improvement. Share your resume onhttps:https://qrew.drytis.com/careers/jobs/ai-engineer?ref=PLnGwmPcd4 Apply Now About the company drytis Actively Hiring From idea to deployed app in minutes with your AI partner 11-50 Employees Delhi 11-50 Artificial Intelligence Deep Information Technology Learn more about drytis Similar Jobs Zooty by Mazout Electric Autonomous micro-mobility vehicles for Logistics, Patrolling and Taxi Firmware Software Engineer ₹5L – ₹7.5L • No equity Apply RD&X Network We are a geography agnostic, gig economy powered deep tech network Java Software Development Intern ₹2.4L – ₹3L • No equity Apply Return Rabbit (By Auctane) Return Rabbit enhances retailers' ability to service customers across multiple channels Senior Software Engineer (primarily Python + Django) ₹30L – ₹42L • No equity Apply MikeLegal MikeLegal helps companies automate legal processes currently related to the IP process Backend Intern ₹10,000 – ₹12,000 • No equity Apply VdoCipher Piracy Protection & Custom Player for E-learning, OTT & Developers Product Support Engineer/Technical Support Engineer (B2B) ₹11L – ₹18L • 0.05% – 0.05% Apply CipherSchools Creator economy led educational video streaming platform for students Mentor- Competitive Programming | Teaching ₹8L – ₹15L • No equity Apply Kawa Space ELINT & SIGINT Software Lead - Satellite Payload Development ₹36L – ₹45L • No equity Apply Vansun Mediatech We Build Businesses that Help People Make Confident Choices Software Engineer (Intern) (In-Office) ₹6L – ₹6L • No equity Apply Artikate Studio We believe in the Power of Engineering to do Good Project Manager / Product Manager ₹4L – ₹8.5L • 0.1% – 0.5% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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drytis Actively Hiring From idea to deployed app in minutes with your AI partner Save Apply Now Ai engineer Remote ( Everywhere ) |3 years of exp |Contract Posted: 2 months ago Hires remotely in Everywhere Remote Work Policy Remote only Company Location Delhi • Gurgaon • Noida Visa Sponsorship Not Available Preferred Timezones Hawaii, Alaska, Pacific Time, Mountain Time, Central Time, Eastern Time, Atlantic Time Relocation Allowed Skills Python Java Javascript Aiml React.js Python/Django/Flask Machine Learning Algorithms, Deep Learning, Artificial Neural Networks About the job We’re Hiring: AI Engineer (GenAI + Prompt Engineering + Client Support) 🌍 Remote | 💼 Contract / Freelance . 💰 $4.28 – $17.15/hour 💡 About Drytis We’re building the future of human + AI collaboration—and we need people who love solving real problems with real clients. 🔥 What You’ll Do • Work 1:1 with clients (live + async) to solve coding challenges • Guide projects, debug issues & build features in real-time • Use Prompt Engineering + GenAI tools to boost workflows • Turn complex tech into simple, client-friendly solutions • Collaborate via cloud tools & shared workspaces 🎯 What We Want • Strong in Python / JavaScript • Experience with LLMs, AI tools, Prompt Engineering • Comfortable with Git, APIs, cloud IDEs • 💬 Great communicator (this role is VERY client-facing) • Self-driven & remote-ready ✨ Why Join Us? • Flexible remote work 🌍 • Work directly with clients (high impact role) • Build in cutting-edge GenAI space • Grow fast with an evolving startup 📩 Apply Now https://qrew.drytis.com/careers/jobs/ai-engineer?ref=PLnGwmPcd4 Apply Now About the company drytis Actively Hiring From idea to deployed app in minutes with your AI partner 11-50 Employees Delhi 11-50 Artificial Intelligence Deep Information Technology Learn more about drytis Similar Jobs Better Your Founding Team, On Demand Associate Software Engineer ₹1.2L – ₹1.8L • No equity Apply drytis From idea to deployed app in minutes with your AI partner AI engineer $20k – $40k Apply Saral Recruitments Where Everything Becomes "Saral" SEO Intern ₹5,000 – ₹5,000 Apply Xipper Travel Tech platform for Hotels React/React Native Intern ₹10,000 – ₹10,000 • No equity Apply QuickSync At QuickSync, we’re transforming e-commerce for sellers Technical Lead (Backend - Python & Django) ₹15L – ₹30L • No equity Apply Xipper Travel Tech platform for Hotels Machine Learning Engineer ₹20,000 – ₹30,000 • No equity Apply keptit AI POWERD PERSONAL ASSISTANT Full stack developer (Fresher ) ₹3,000 – ₹7,000 • No equity Apply GemCommerce A global Produc Company that helps people sell online better Remote Customer Support (Technical Based) $30k – $40k • No equity Apply Botsplash Omni-channel conversational and messaging platform Fullstack Engineer (Node.js, React, PostgreSQL) ₹8L – ₹16L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Human Agency Actively Hiring We’re giving the power of digital advertising to the people Growing fast Save Apply Now Applied AI Engineer Remote ( United States ) |Full Time Posted: 5 months ago Hires remotely in United States Remote Work Policy Remote only Company Location United States • Ukraine • St. Louis • Tel Aviv Visa Sponsorship Not Available Relocation Allowed About the job Location: Remote (U.S. or Canada) Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor About Human Agency We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity You're not here to build traditional software. You're here to build AI-native products and systems that fundamentally change how work gets done — for our clients, our ventures, and our own operations. This is the engineering role for someone who sees the current AI moment not as hype but as infrastructure, and who has the skills and instinct to build on top of it before the rest of the world catches up. We need someone who can architect agent-driven workflows that replace entire categories of manual work, ship production systems that integrate LLMs and orchestration frameworks at scale, and move with the speed required when the state of the art shifts every few weeks. You'll work directly with venture leads, client teams, and internal operators to turn ambitious ideas into deployed reality. This role exists because we're building faster than we can hire, and the projects in our pipeline demand an engineer who doesn't need their hand held. You'll have autonomy, access, and the expectation that you'll use both to ship work that compounds in value over time. What You'll Own Ship AI-powered products and tools from zero to production. You'll design, build, and deploy systems for both internal operations and client-facing venture products — agent workflows, automation platforms, LLM-integrated applications, and tooling that didn't exist six months ago. Architect systems that scale beyond demos. You're building real infrastructure, not prototypes. That means thinking through orchestration, error handling, observability, cost, and how things actually run in production when users depend on them. Work across the full stack. Frontend, backend, infrastructure, LLM integration, agent frameworks — you move fluidly between layers and own the entire system, not just one piece of it. Collaborate directly with venture and client teams. You'll work alongside founders, strategists, and operators to understand what needs to be built and why, then make technical decisions that serve the mission without waiting for permission. Stay current and opinionated about the AI tooling landscape. The best tools from two months ago are already outdated. You know what's shipping, what's worth using, and what's just noise, and you bring that perspective into every build. Push the boundary on what's possible with AI. You're not satisfied with prompt wrappers or surface-level integrations. You're here to explore what happens when you treat agents, models, and orchestration as foundational infrastructure, and you build accordingly. Who You Are Experience & Skills Strong software engineering foundation with experience building and shipping production systems — you understand how to write maintainable code, architect scalable services, and deploy software that people actually use. Deep, hands-on experience building with LLMs, agent frameworks, and AI tooling — you've worked with OpenAI, Anthropic, or similar APIs, and you've integrated them into real products, not just demos or side projects. Full-stack capability — you're comfortable working across frontend, backend, databases, APIs, and infrastructure, and you know when to go deep versus when to move fast. Proven track record of AI projects you've built and shipped — we want to see your work. GitHub repos, deployed products, live demos, or detailed writeups of systems you've architected. Proof of work is non-negotiable. Product sense and judgment — you don't just execute on specs. You understand why something matters, what should be built, and what can wait. You ask the right questions and make smart tradeoffs under ambiguity. Familiarity with modern AI tooling and orchestration frameworks — whether it's LangChain, LlamaIndex, agent libraries, vector databases, or the next thing that just launched, you know the landscape and have opinions about what works. Mindset & Traits You're AI-pilled in the best way — you see the current moment as foundational, not hype, and you're building accordingly. You're not waiting for permission to explore what's possible. You ship fast and iterate in public. You'd rather deploy something good today and improve it tomorrow than wait three weeks for perfect. You have strong instincts about when to move quickly and when to slow down. You think in systems, not features. You're interested in building things that compound in value over time — tools that get more useful, workflows that unlock other workflows, infrastructure that enables future work. You're comfortable with ambiguity and autonomy. You don't need a roadmap handed to you. You can take a problem, figure out what needs to be built, and make it happen with minimal oversight. You care about craft but not at the expense of impact. You write clean code and build thoughtful systems, but you're not precious about it. Shipping something useful beats building something perfect. You're curious, opinionated, and willing to be wrong. You have strong views on what's worth building and how to build it, but you update those views when you learn something new. You invite feedback and get better because of it. Compensation & Logistics This is a remote, full-time position open to candidates based in the US or Canada. Compensation is competitive and commensurate with experience, including base salary, performance-based bonuses. Some travel required for client engagements, team offsites, and collaborative working sessions. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work. Apply Now About the company Human Agency Actively Hiring We’re giving the power of digital advertising to the people 11-50 Employees United States 11-50 Software Engineering Growing fast Learn more about Human Agency Similar Jobs Aura Frames Unlimited memories, from phone to frame Senior Software Engineer, Infrastructure - Scaling & Performance $180k – $245k Apply Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply EPYC Enterprise Software Design & Development Studio Senior Frontend Engineer (React) (3+ Years) ₹9L – ₹15L • No equity Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply ONI ONI is building the world 1st AI ObGyn 'Continuum Pregnancy Care' for pregnant mothers Founding Engineer ₹50,000 – ₹1.5L • 0.0% – 2.0% Apply Navtech We design and develop the most innovative solutions for your users! 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Particle41 Provides expert teams for software development & data initiatives Responds within three weeks Save Apply Now AI Engineer Remote ( United States ) |Full Time Posted: 2 months ago Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Swatee Dhiman Employee About the job AI Engineer Role Overview: As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively. In This Role, You Will: Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). Optimize models/solutions for performance, scalability, robustness and cost-efficiency. Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. Document model design, experiments, data provenance and solution rationale. Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results. Skills and Experience We Value: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 3+ years of hands-on experience in AI/ML model development and deployment. Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. Experience building or fine-tuning Large Language Models (LLMs). Experience deploying models into production: building REST APIs, microservices and monitoring. Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc. Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI. Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models). Ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Publications, open-source contributions, or personal projects in the AI/ML domain About Particle41 Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE ) E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do. We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com. Apply Now About the company Particle41 Provides expert teams for software development & data initiatives 51-200 Employees Frisco 51-200 B2B Developer Tools Responds within three weeks Learn more about Particle41 Similar Jobs Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Voicera.io Believe what you hear. Trust what you see Chief AI & co-Founder $1k – $1k • 4.0% – 6.0% Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI Data Scientist - Junior role - 8 position ₹10,000 – ₹35,000 • 0.1% – 0.5% Apply Infinite Analytics Consumer Insights AI Platform Data Scientist ₹10L – ₹20L • 0.05% – 0.15% Apply Wynd Labs Making AI Data Accessible. 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Brave A better browser B2C Growth Stage Top Investors Save Apply Now Machine Learning Engineer Remote ( Everywhere ) |Full Time Posted: 5 years ago Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job Brave is looking for a Machine Learning Engineer to work on advancing Brave’s use of in-browser machine learning in features like Brave Ads (our system that rewards users for seeing privacy respecting ads) and Brave Today (our news product). Your work will impact the 24+MM monthly Brave users, and your work will improve some of the most popular parts of the Brave product. An ideal candidate will have a mix of skills that include the following: Working knowledge of JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged. Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning Familiarity with techniques such as Logistic Regression, Decision Trees, Random Forest, Naive Bayes, SVMs, Clustering, Multi-Armed Bandits and Reinforcement Learning Familiarity with NLP Basic data cleansing and preparation, variable preprocessing/transformation Comfortable working in an open source setting Able to create and deploy machine learning pipelines Has a passion for helping protect users’ privacy and security Written and verbal communication skills in English Proven record of getting things done Bonus Points Experience with the Chromium code base or other similar browser code base Experience in Privacy-preserving/decentralized machine learning Knowledge of Adtech Apply Now About the company Brave A better browser 51-200 Employees San Francisco 51-200 Web Browsers B2C Growth Stage Top Investors Learn more about Brave Funding AMOUNT RAISED $53.5M FUNDED OVER 5 rounds Rounds U $35000000 Unknown - Jun 2017 +4 View Brave's funding history Founders Brian R. Bondy Co-Founder • 12 years Ontario Brendan Eich Founder San Francisco View the team Similar Jobs Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply MikeLegal MikeLegal helps companies automate legal processes currently related to the IP process AI Intern ₹10,000 – ₹12,000 • No equity Apply SquareYards Square Yards is India's largest Real Estate platform with presence in over 9 countries Generative AI Engineer | Artificial Intelligence | Mumbai ₹10L – ₹15L • No equity Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Outdoo AI AI roleplay and coaching platform Head of Engineering (AI) at VC-funded Startup ₹45L – ₹60L • 0.5% – 0.8% Apply Rainclouds Global Solutions Cloud based products on risk and compliance AI Engineer ₹4L – ₹15L • No equity Apply senzcraft technologies Simplify Your Work. Using Intelligent Process Automation Data Scientist with NLP & Agentic AI ₹10L – ₹18L • No equity Apply IUDX A smart city data exchange platform Data Science Solution Architect ₹12L – ₹24L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Scale AI Actively Hiring Accelerate the development of AI applications B2B Scale Stage Top Investors +2 Save Apply Now Machine Learning Engineer, Global Public Sector Remote ( United Kingdom ) • London +1 |Full Time Reposted: 1 year ago Job Location London • Doha Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Allowed About the job Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies. Ideally, You Have Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence. Nice to Haves Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. *Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.* Apply Now About the company Scale AI Actively Hiring Accelerate the development of AI applications 1001-5000 Employees San Francisco 1001-5000 Enterprise Software Company Machine Learning Artificial Intelligence Developer APIs Image Recognition Developer Tools Business Process Outsourcing B2B Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Scale AI Funding AMOUNT RAISED $277.6M FUNDED OVER 5 rounds Rounds D $155000000 Series D - Dec 2020 +4 View Scale AI's funding history Perks Healthcare benefits HEALTH, DENTAL & VISION COVERAGE Choose the benefit plan that suits you and your family's needs. EASY TO USE 401(K) VIA GUIDELINE Plan and invest for the future with a 401(K) via Guideline. Parental leave Equity benefits Work from home policy Vacation policy GENEROUS PAID TIME OFF Enjoy time to travel or plan a staycation - whatever you need to relax and recharge. Company meals FREE LUNCH AND DINNER Stay fueled for the workday. Lunch and dinner are on us. Commuter benefits Company events REGULAR SOCIAL ACTIVITIES From karaoke to off-sites, we take time to celebrate the wins and connect with teammates. FLEXIBLE WORK HOURS Flexible hours allow you to work when you are most productive. Explore Scale AI's perks and benefits Founders Alexandr Wang Founder Mountain View View the team Similar Jobs Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Flow Engineering Collaborative design for complex hardware projects Software Engineer- London £70k – £120k • 0.01% – 0.1% Apply Countly Product Analytics and Innovation. 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Headquarters: Bellevue, WA or Remote Florida Team Charter: The Cloud Engineering team is dedicated to maintaining and evolving cloud infrastructure, CI/CD pipelines, Application Security, Change Management, and Backend application golden templates. We are the backbone of the technical organization, ensuring the foundation of our services is robust, secure, and efficient. About the role: We are looking for a Senior Cloud Engineer to join our Cloud Engineering team. This team is tasked with ensuring scalability, reliability, and security for all backend services and keeping the SDLC running smoothly for engineers across the company. As a senior member of the team, you will own meaningful pieces of our cloud platform end-to-end — from design through deployment and operation — while helping shape the standards, tooling, and golden templates that the rest of the engineering organization builds on. You will balance deep, hands-on technical ownership with mentoring teammates and influencing the technical direction of the systems that power a large-scale mobile marketplace. What we love about this role: Scale & Impact: You will work on systems that drive the end-user experience and support every technical team across the organization, operating across a multi-account AWS and GCP footprint. Ownership: You will own critical infrastructure and platform capabilities end-to-end, making architectural decisions that affect reliability, security, and cost at scale. Force Multiplier: The templates, pipelines, and tooling you build raise the productivity and safety of every engineer at OfferUp. Emerging Technology: You will help bring new capabilities — including AI/ML developer tooling and infrastructure — into the hands of our engineers. In this role, you will design, build, and operate the cloud infrastructure, platform tooling, and CI/CD systems that underpin OfferUp's core applications. Day to day, that means you will: Build cloud infrastructure as code — design, implement, and maintain AWS and GCP infrastructure with Terraform, optimizing for reliability, security, and cost. Own our Kubernetes & GitOps platform — run and evolve EKS/GKE (cluster upgrades, Envoy/Gloo networking, Helm, ArgoCD delivery). Keep the SDLC fast and safe — build CI/CD pipelines and developer workflows (GitHub Actions, monorepo tooling, JFrog Artifactory), and maintain the backend “golden templates” and shared libraries the wider org builds on. Lead platform migrations end-to-end — plan, execute, and de-risk observability, data-store, Kubernetes, and multi-account migrations, including rollback strategy. Drive operational excellence & security — own observability in Datadog and on-call, remediate CVEs, manage secrets and access controls (Cloudflare/ZTNA, Okta, SSO, Workload Identity Federation), and optimize cloud cost. Multiply the team — enable AI/ML developer tooling (Amazon Bedrock, Claude, AI-assisted workflows), lead design and code reviews, set technical standards, mentor engineers, and partner with other teams. You'll thrive in this role if you have: Experience & Education: 5–8 years in cloud engineering, infrastructure, platform, DevOps, or SRE roles; Bachelor's in Computer Science or a related field, or equivalent practical experience. Cloud & Infrastructure as Code: Deep, hands-on AWS (ideally GCP) — EKS/GKE, Lambda, networking, IAM, S3, Kinesis, OpenSearch, Route53 — managed declaratively with Terraform at scale. Containers & Delivery: Solid experience with Kubernetes (EKS/GKE), Helm, GitOps (ArgoCD), and CI/CD pipelines (GitHub Actions or similar) in a monorepo or multi-service environment. Observability & Operations: Modern observability tooling (Datadog or similar) for metrics, logs, traces, and alerting; supporting production systems, on-call, and debugging complex distributed systems. Coding: Proficiency in at least one of Java, TypeScript, Python, or Go for automation, tooling, and platform development; comfort with scripting and SQL. Communication & Leadership: Able to communicate technical concepts to technical and non-technical audiences, lead through influence, and mentor other engineers. Helpful, but not required: Experience with edge and zero-trust networking (Cloudflare, Envoy/Gloo). Experience operating data and streaming infrastructure (Kinesis, Flink, Redis/Valkey, Confluent/Kafka). Experience enabling AI/ML infrastructure or developer tooling (Amazon Bedrock, SageMaker, or LLM-based developer workflows). Experience with security and compliance practices, change management, and incident management at scale. Experience with GCP Workload Identity Federation and cross-cloud (AWS↔GCP) integrations. Compensation Range: $215,000 - $240,000 OfferUp offers a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors, including but not limited to education, experience, knowledge, skills, and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual’s level and experience. Benefits (all US roles): In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time, exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1). Your recruiter can share more details about specific benefits during the interview process. About OfferUp: OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need—from great deals and secondhand goods to jobs, services, home rentals, and more—right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward. Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U.S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com More About OfferUp At a Glance Top 10 Shopping app in the App Store and Google Play Store for three years 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando) OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities OfferUp is unleashing the power of local, and we’ve built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training. OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp’s employees to perform their job duties may result in discipline up to and including discharge. To apply: https://weworkremotely.com/remote-jobs/offerup-senior-cloud-engineer-hybrid-bellevue-wa-or-remote-florida
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MixRank (YC S11) | Software Engineers | 100% Remote (Global) | Full-Time
MixRank processes petabytes of data every month through web crawling. Hundreds of customers use our data products, including Google, Amazon, Facebook, Intel, and Adobe, across industries such as finance, recruiting, sales, marketing, and security. We’re a fully remote company with a global footprint across 20+ countries. We’re growing, profitable, employee-owned, and have no dependence on outside funding. Applicants from all geographies and backgrounds are welcome. We’re looking for passionate individuals for whom programming is not just a job, but something they genuinely love to do. We’re obsessed with computers, programming, big data, databases, compilers, hardware, math, data science, and the internet. Does this sound like you? Please apply to join our team. Our codebase is friendly to new contributors. You’ll have a fully functional development environment within hours through full automation and will be pushing commits on your first day. Deployments to production happen multiple times per day and finish in under two minutes.Effectively all of our codebase is written in Python, Rust, SQL, JavaScript/TypeScript, and Nix. The core technologies you’ll need familiarity with to be productive are Python, PostgreSQL, Linux, and Git. We operate at a larger scale than typical startups. We run two datacenters with high-performance servers we’ve built ourselves, capable of handling the volumes of data we process. We’ve implemented our own distributed file system, perform full-scale web crawls, and download and run static analysis on the entire universe of published Android APKs and iOS IPAs. Unlike a typical startup where you might spend half your time in meetings and the other half fixing Jira tickets, at MixRank you’ll challenge yourself with difficult technical problems that help you grow as an individual. We’re continuously hiring for the positions below; these aren’t singular roles that close once filled. Our philosophy is that the candidate is more important than the position. For each new member of the team, we design a custom role and responsibilities around their interests.
Other companies may create a long list of specific requirements with the expectation that you’ll exactly replace someone on the team or fit a role defined by committee. MixRank is more pragmatic: we first get excited about bringing a unique individual onto the team, then figure out the best way to support their specific talents. Junior Software Engineer - Remote (Global), Full-Time We’re looking for remote junior engineers with 0–3 years of professional software experience and 5+ years of curiosity exploring computers, programming, and technical hobby projects. This is an open-ended entry role with mentorship and diverse opportunities to work across all areas of our product: databases, distributed systems, infrastructure and tooling, data analysis, machine learning, frontend/backend web development, APIs, data mining, data modeling, and more. To stand out, please highlight what makes you unique: passion for computing, curiosity and side projects, work ethic, niche research, or anything else that shows how you think and build. Ideally, you’ve already graduated. But if you still have one or more years left of school, please feel free to apply anyway. If you’re the right fit for the team, we’ll figure out a way to accommodate your schedule. Apply here: https://www.ycombinator.com/companies/mixrank/jobs/Fnwsojk-j Software Engineer - Remote (Global), Full-Time We’re hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, DevOps, and more. We’ll tailor the role to the subset of areas that best match your interests. Beneficial experience includes PostgreSQL, Python, Rust, Linux, TypeScript, Nix, frontend/backend web development, and data mining. Apply here: https://www.ycombinator.com/companies/mixrank/jobs/RXQspen-s I’m Kiran, Chief of Staff at MixRank, a fully remote data startup building go-to-market intelligence. We’re US-incorporated but hire globally, and we’re bringing on new teammates to join a fast-moving team with real ownership and impact.
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Headquarters: India (remote) Role Purpose As a DevOps Engineer IV at Jumio, you are expected to be strong in both the “Dev” and “Ops” aspects of DevOps. We are seeking someone with a deep understanding of systems architecture and core computer science concepts, who can reason about system behavior rather than simply working with current toolsets. This is a high-bar role with significant rewards. As one of our hires in our Bengaluru office, you will help shape the team and culture, collaborate with energetic peers who will challenge and inspire you, and gain considerable international exposure with opportunities for cross-departmental impact. Role Value This role is an individual contributor position within the Production team, with some focus on observability to improve reliability of our platform and boost engineer productivity. You will mentor junior engineers and drive collaborative projects across teams. Responsibilities Deploy, manage, and administer web services in public cloud environments. Design and develop solutions for secure, highly available, performant, and scalable services in elastic environments. Own all operational aspects of web services: automation, monitoring, alerting, reliability, and performance. Innovate solutions to operational challenges with a direct business impact. Drive resolution and communication during production-impacting incidents. Lead technical projects and ensure project-level deliveries. Collaborate effectively with engineering and business teams across continents. Experience & Qualifications Bachelor’s or advanced degree in Computer Science or a related field. 8+ years of professional DevOps / Infrastructure management experience, with 5+ years in AWS . Strong foundation in operating systems, networking, distributed systems, and systems architecture. Proven track record of leading critical DevOps projects. Hands-on expertise with AWS services, orchestration (ECS, EKS), and infrastructure management. Proficiency with observability concepts (logs, metrics, tracing) Experience with SaaS observability platforms (eg Datadog, NewRelic, Honeycomb, Dynatrace…) and building in-house solutions (ELK stack, Prometheus, Grafana stack…) Strong scripting and automation skills (Python, Bash). Solid experience with Infrastructure as Code (Terraform, CloudFormation, Packer) and containerization (Docker, Kubernetes). Strong debugging, troubleshooting, and problem-solving abilities. Broad exposure to cloud-hosted applications, virtualization platforms, relational/non-relational databases, reverse proxies, and orchestration platforms. Excellent communication, collaboration, and stakeholder management skills. Demonstrated curiosity, continuous learning, and drive to raise the technical bar. Nice to Have Prior experience as a senior developer or application architect. Experience in cloud cost optimization and exposure to FinOps concepts (cost allocation, unit economics…) Experience working in compliance-regulated environments (PCI DSS, ISO 27000, HIPAA, SOC 2, GDPR). Key Characteristics & Attitudes We hire for attitude as much as skill. Attributes highly valued across Jumio include: Friendly and supportive Adaptable and flexible Articulate and persuasive High IQ and EQ Jumio Values Curious and coachable Commercially aware Resilient and tenacious Big-picture thinking with attention to detail IDEAL Values: Integrity, Diversity, Empowerment, Accountability, Leading Innovation About Jumio Jumio is the leading provider of online identity verification, eKYC, and AML solutions . With a global footprint, we are expanding to meet strong client demand across industries such as Financial Services, Travel, Sharing Economy, Fintech, Gaming, and more. Equal Opportunities Jumio is a collaboration of people with diverse ideas, strengths, interests, and cultures. We welcome applications from colleagues of all backgrounds and statuses . Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities : Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com . To apply: https://weworkremotely.com/remote-jobs/jumio-devops-engineer-iv-obs
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Hi! I am Max. I am a Design Leader with 13+ years of experience and extensive knowledge in several areas: Design, Development, Analytics. Involved in creation of several startups and have previously created my own products and tools. I have a strong mathematical background. Interested in fintech, crypto, LLMs, AI, and complex business-technical systems. Open to joining early-stage startups or other interesting opportunities. Location: Warsaw, Poland Remote: Yes Willing to relocate: Yes Des: User Research, User Flow, UX/UI, Web, Holistic, Design System, Wireframes, Email Design, Dashboards, Mobile App Design, 3D, Illustrations, Animations, Figma, FinTech, E-commerce. Dev: Ruby, Rails, Hotwire, JavaScript, TypeScript, React, Vue, Svelte, Nest, Next, Nuxt, Tailwind, Postgres, Docker, CI/CD, etc. Résumé/CV: https://www.linkedin.com/in/maxberdnikau/ Email: maxberdnikau@gmail.com
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Headquarters: United States Staff Product Designer About Andela: At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America. As one of the world’s largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company’s exclusive AI-powered platform, Andela Talent Cloud, is the industry’s only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster. Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI. Are you an exceptional, hungry leader seasoned in scaling businesses through transformation and growth? Join us and change the world. Job Summary: As the Staff Product Designer, you are a visionary leader who shapes how millions of people experience the future of work. You will tackle Andela’s most ambiguous product challenges, working across high-level business strategy and deep user empathy. You aren't just a "maker"; you are a "shaper" who defines the frameworks, logic, and standards that the rest of the design team follows. Exceptional Leadership: As an Andelan, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you. Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea. One team mentality: You break silos across teams. You put the company and mission first above your team alone. Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen. Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you. Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details. Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems. Key Responsibilities: Experience Architecture: Lead the design of complex, multi-sided marketplace flows. You will be responsible for the "big picture" logic of our Talent Cloud, ensuring seamless transitions between client hiring needs and talent career growth. Strategic Partnership: Act as a peer to Product and Engineering. You will help define the product roadmap by identifying user-centric opportunities that align with Andela’s commercial goals. Design Systems Governance: While you aren't writing the code, you are the "Source of Truth" for our design language. You will oversee the evolution of our component library to ensure accessibility, consistency, and a world-class aesthetic. Data-Informed Innovation: Use qualitative research and quantitative data to validate your hypotheses. You should be comfortable navigating complex data dashboards to find the "why" behind user behavior. Mentorship & Craft Excellence: Elevate the output of the design team through rigorous design reviews, workshops, and the introduction of new methodologies. Design Mentorship: Act as a "Force Multiplier." You will lead design sprints, conduct high-level critiques, and mentor Senior Designers to help them reach the next level of their careers. Requirements: Experience: 10+ years in Product Design, with a significant track record of delivering high-impact B2B, SaaS, or Marketplace products. Systems Thinker: You have a deep understanding of how design scales. You can think through edge cases, global localization, and complex state management without needing to see it in code first. Communication: Mastery of the "pitch." You can articulate the ROI of design to non-design stakeholders and build consensus across a global, async organization. Tooling: Expert-level Figma skills, including advanced prototyping, auto-layout, and library management. Product Sense: You think like a Product Manager. You understand trade-offs, technical constraints, and how to ship "Minimum Viable Products" (MVP) to learn fast. The Stack: Experience of Figma paired with professional-grade proficiency in React.js, TypeScript, and CSS-in-JS (or Tailwind). Additional Requirements: Bachelor's degree in Business, Engineering, Computer Science, or related field; MBA or advanced degree preferred. 3+ years in a marketplace, platform, or multi-sided network business model 2+ years managing or mentoring direct reports. Experience leading cross-functional initiatives across Engineering, Operations, and commercial teams in a remote or distributed organization. #LI-REMOTE #LI-RDR To apply: https://weworkremotely.com/remote-jobs/andela-product-designer
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Pingintel | Miami or Remote | Full-time | https://www.pingintel.com Ping Data Intelligence is a dynamic startup based in Miami, FL, revolutionizing the property insurance sector with cutting-edge web technologies and ML-powered tools. Despite rapid growth, we retain the stability of a self-funded, profitable company. We're hiring a Data Annotation Operations Lead to run ML training data annotation. You'll manage offshore annotation contractors, become an expert annotator yourself, and drive quality, cost, and throughput — while working with engineering to automate annotation with LLMs. *Responsibilities*
- Manage offshore annotation contractors as main liaison
- Write and maintain annotation guidelines
- Annotate data yourself, especially early on
- Track quality metrics (agreement rate, accuracy, rework) and drive improvement
- Cut cost, boost throughput, without sacrificing quality
- Partner with engineering to automate annotation via LLMs/agents *Required*
- Experience managing offshore/distributed teams
- ML annotation / training data pipeline knowledge
- Extremely detail-oriented, strong written/verbal communication
- SQL and spreadsheet/BI skills
- Comfort turning ambiguous decisions into clear rules *Nice to Have*
- Python, annotation UI/UX design, taxonomy classification experience, LLM/agent automation experience reach out at jobs@pingintel.com
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Headquarters: Canada Description Lighthouse Software Group is an operating group of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft acquires and builds mission-critical software companies serving highly specialized industries and holds them for the long term. With 150+ companies and 4,000+ employees across 20+ countries, Valsoft’s decentralized model empowers businesses to operate independently while benefiting from operational best practices and long-term capital. Lighthouse is responsible for sourcing, acquiring, and operating vertical market software companies globally. As we continue to grow, we are seeking driven individuals who want to join the team! About the Role We are looking for an AI-native full stack engineer to join one of the leading software companies within our portfolio. Our platform powers mission-critical workflows for organizations that depend on it every day, and we are actively expanding it through AI capabilities and entirely new software products. This role is designed for engineers early in their careers who want to build a lot, learn quickly, and take real ownership. You will work across both an established production platform and new AI-driven products. We are especially interested in people who see themselves as builders. The best candidates are curious, ambitious, and constantly experimenting with new tools. They build side projects, explore AI models, and look for opportunities to improve systems rather than waiting for instructions. You will work closely with a senior engineer who has built and scaled production systems and will provide direct mentorship as you grow. As the engineering team expands, there is also a clear leadership runway for someone who wants to take increasing ownership and eventually help lead the team. This is a profitable, stable company with real customers and real infrastructure. The company operates within Lighthouse Software Group, part of Valsoft, a global group of vertical market software businesses with more than 130 companies and 4,000 employees across 20+ countries. Roles & Responsibilities You will work across three main areas of the product. Core Platform Development (Approximately 25%) Work within our existing production platform built primarily with PHP, Zend Framework, and JavaScript. Responsibilities include: Building and enhancing features within the existing platform Debugging and resolving production issues Refactoring legacy code to improve maintainability Improving reliability, performance, and system quality AI Feature Integration (Approximately 25%) Help bring AI capabilities directly into the platform. Responsibilities include: Integrating LLM and AI APIs into product workflows Building AI-powered tools and automation inside the platform Identifying opportunities where AI can improve user workflows Ensuring AI features are reliable and production-ready Using AI development tools as part of your workflow is expected. New Product Development (Approximately 50%) Build new software products that expand the platform. Responsibilities include: Designing and developing new applications and product modules Building production-ready systems rather than simple prototypes Working across the product lifecycle from concept to deployment Contributing ideas that shape future product direction Much of this work will involve modern frontend development using React and related technologies. Required Experience 2 to 4 years of professional software development experience Experience building or contributing to production applications Comfort working across frontend and backend development Experience using or experimenting with AI APIs, LLMs, or AI development tools Familiarity with modern development workflows and cloud-based tooling We are particularly interested in candidates who demonstrate a builder mindset. Examples include side projects, experimentation with AI tools, open source work, or personal technical projects. #PortfolioLighthouse To apply: https://weworkremotely.com/remote-jobs/valsoft-corporation-ai-native-full-stack-product-engineer
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AREO | Remote (EU) / on-site in Bremen, Germany | Full-Time | Equity | Roles: [Engineering Manager (Ruby on Rails), Lead Product Engineer (Ruby on Rails), Robotics Lead] My name is Marius and I am the CTO at AREO ( https://goareo.com/ ). AREO, founded in January 2023 by a team with 20+ years of combined experience in retail and startups, is a young startup specializing in developing innovative solutions for supermarkets and grocery retail stores. Our cutting-edge B2B SaaS platform optimizes workflows for employees by providing real-time access to inventory, product information, and customer inquiries. We serve large supermarket chains in Germany and across the EU. We already hired two backend developers through "HN - Who is hiring" and are now seeking a Lead Product Engineer (Ruby on Rails) / Engineering Manager (Ruby on Rails) with a minimum of 8 years of experience (preferably in startups), as we recently closed another large contract with a major retail chain and are growing quickly. For both the Lead Product Engineer and Engineering Manager roles, professional knowledge of German is required, and you need to be based in the EU. If you're passionate about building innovative retail products from scratch, these roles are for you. Backend Stack: Ruby / Rails (8.x), StimulusJS / Hotwire / Turbo, AlpineJS, Postgres, Docker, DigitalOcean, OpenAPI, LLMs We are also seeking a Robotics Lead to help us set up and run our new robotics lab in Bremen, Germany. We are building a retail robot, initially focusing on teleoperation and later on autonomous model development. You should have at least 3 years of experience with humanoid robots, VLAs, teleoperation, and other relevant robotics systems. Professional knowledge of German is required, and you must live in or be ready to move to Bremen. Perks: Fully remote roles in Europe for the Engineering Manager and Lead Product Engineer, work where you are most productive, sizeable equity in a rapidly growing company, flat hierarchies, no-ego work environment, work in a lean but highly experienced team. Apply here: marius[at]goareo.com and mention "HN - Who is hiring?" and the role you are applying for in the subject.
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Headquarters: India About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 1 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Role Overview We are hiring a Senior Product Manager – AI Growth to drive adoption, engagement, and monetization across HighLevel’s AI product suite. This role is designed for builder PMs who combine strong product instincts with hands-on execution. You will operate as a “Team of One” product owner responsible for identifying growth opportunities, shipping experiments, and building AI-powered experiences that increase product usage and revenue. What You’ll Do AI Growth Strategy - Identify where AI can most meaningfully improve activation, retention, expansion, and revenue. - Translate AI capabilities into clear user value and growth loops. - Define the roadmap for AI-driven adoption across HighLevel products. Activation & Adoption - Own the AI usage funnel: discovery → activation → depth → retention → expansion. - Design onboarding, prompts, and product experiences that make AI features easy and valuable to use. - Improve AI discoverability and engagement across the product. Experimentation & Growth Engineering - Run rapid growth experiments across UX, pricing, feature access, and messaging. - Prototype experiments using AI development tools and lightweight coding frameworks. - Partner with engineering to scale successful experiments. Monetization & Pricing - Identify opportunities to monetize AI capabilities through pricing, packaging, and usage-based models. - Partner with GTM teams to launch and iterate on AI offerings. Analytics & Insights - Define metrics including activation, WAU/MAU, feature depth, and expansion revenue. - Instrument events and analyze funnels to guide iteration. What Success Looks Like - Increased adoption of AI features - Higher engagement with AI workflows - Revenue growth driven by AI products - Faster experimentation cycles Minimum Qualifications - 8–10 years of product management experience - Experience working on growth, adoption, or monetization problems - Experience shipping AI-powered features or products - Strong data-driven decision making Preferred Qualifications - Hands-on coding or prototyping experience (1–2+ years) - Experience with LLM APIs, AI tools, or agent frameworks - Familiarity with SaaS growth loops and product-led growth - Portfolio, GitHub, or prototypes demonstrating builder capability Who This Role Is For - Product managers who build and ship. - Builders who prototype ideas and move quickly from concept to product. - PMs who leverage AI tools, automation, and code to accelerate product development. Why Should You Join Us? At HighLevel, we foster an exciting and dynamic work environment driven by a passionate team. We believe in a collective responsibility where no task is considered someone else's job. Our unwavering focus is on providing value to our users, and we achieve this by delivering solutions swiftly through lean principles, allowing us to bring products to market in a matter of weeks rather than quarters. Every good idea is put to the test, ensuring that we maintain a high standard of innovation. We prioritise the well-being of our team, recognizing that by taking care of them, they can better serve our users. We embrace the concept of continuous and iterative improvement, understanding that progress is an ongoing journey. We are also a well funded & profitable company. Join us at High Level, and you will have the opportunity to learn the intricacies of scaling a B2B SaaS startup and develop impactful products that cater to the needs of our customers. Equal Employment Opportunity Information The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-AV1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. To apply: https://weworkremotely.com/remote-jobs/highlevel-sr-product-manager-ai-growth
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Headquarters: Remote, US Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are looking for a Senior Product Manager, Consumer Payments to lead Toast’s consumer payments strategy and product area. This role will shape how diners pay across the Toast ecosystem, while also helping restaurants benefit from more seamless experiences, stronger guest loyalty, and improved economics. In this role, you will define and drive the strategy, roadmap, and execution for consumer payment experiences at Toast. This includes card and stored value experiences, guest checkout innovation, loyalty- and rewards-linked payments, and emerging payment methods that improve both the guest experience and cost of acceptance. You will work cross-functionally with teams across Consumer, Payments, Engineering, Design, Data, Risk, Operations, Partnerships, Legal, Finance, and Go-to-Market to turn an ambitious vision into a scalable and differentiated product portfolio. This role sits at the intersection of consumer experience, payments innovation, and business strategy, and requires strong product judgment, technical fluency, leadership, and comfort operating in ambiguity. A day in the life (Responsibilities) Own the product vision, strategy, and roadmap for Consumer Payments, aligning near-term execution with Toast’s long-term strategy. Define the end-to-end consumer payment experience across areas such as wallet, stored value, guest checkout, rewards-linked payments, and emerging lower-cost payment methods. Partner with Consumer and Guest teams to create payment experiences that are seamless, intuitive, and habit-forming for diners across Toast surfaces. Work closely with other Payment teams, Risk, Finance, Legal, and Operations teams to design solutions that are compliant, scalable, and economically compelling. Drive product discovery and prioritization grounded in customer needs, business impact, technical feasibility, and strategic differentiation. Lead complex cross-functional initiatives involving internal platform teams and external partners. Translate broad strategic goals into clear milestones, measurable outcomes, and focused execution plans. Use data to evaluate adoption, engagement, conversion, retention, payment mix, margin impact, and customer value. Communicate strategy, priorities, tradeoffs, progress, and risks clearly to senior leadership and stakeholders across Toast. Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build. Do you have the right ingredients?* (Requirements) 8+ years of product management experience, including significant experience in payments, fintech, consumer payments, wallets, or other complex platform businesses. Track record of defining, building, and scaling products in ambiguous, cross-functional environments. Strong understanding of digital payments, wallets, stored value, alternative payment methods, or consumer fintech ecosystems. Ability to balance customer experience, technical complexity, risk and compliance constraints, and business economics. Strong technical fluency and comfort partnering deeply with engineering on architecture, APIs, dependencies, and rollout planning. Excellent communication and stakeholder management skills, with the ability to influence senior leaders and align cross-functional teams. Strong analytical and strategic thinking skills, with the ability to move fluidly between detail and big-picture strategy. Experience with marketplace, network, loyalty, or two-sided platform models is a plus. Special Sauce* (Nice to Have) Experience building wallet, stored value, prepaid, debit, or rewards-linked payment products. Familiarity with merchant economics, cost-of-acceptance levers, or alternative payment rails such as ACH or pay by bank. Experience in hospitality, commerce, or local marketplace products. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits . #LI-REMOTE The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy . Zone A $159,000 - $254,000 USD Zone B $138,000 - $221,000 USD Zone C $125,000 - $200,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com . ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. To apply: https://weworkremotely.com/remote-jobs/toast-senior-product-manager-consumer-payments
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Headquarters: Remote - Utah Leland’s mission is to unlock human potential by making the world’s expertise more accessible. We do that through a platform that connects people with coaching, content, and courses that can can help them achieve their most ambitious career and educational goals. Since our founding in 2021, we’ve helped tens of thousands of people reach their most ambitious goals, raised $19M from world-class investors, and built the industry leader in educational and career coaching. We’re seeking Engineers, Product Managers, and Designers who actively use AI in their work to coach students and professionals building AI-powered products. Coaches help mentees apply AI in real product development, including AI product strategy, prototyping with AI, AI product design, and building LLM-optimized codebases. Ideal candidates are professionals using AI extensively in real product environments at leading tech companies or high-growth startups. Coaches set their own hours and rates and host sessions virtually. Why Leland? Join a high-growth consumer startup focused on helping people achieve their goals by connecting them with expert coaches Opportunity to take part in building a world-class team A collaborative, high-energy environment where your contributions have a direct impact The chance to join a passionate team helping people achieve their career and educational dreams Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply. To apply: https://weworkremotely.com/remote-jobs/leland-ai-product-development-coach-contract
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Headquarters: Remote but only within Poland Who are we? We're Bee Talents, an IT recruitment agency that has been helping clients from all around the world in building their technical teams since 2015. Currently we have a great pleasure of working as an exclusive RPO provider for Gcore and we would like to invite you to participate in the recruitment process for Platform Product Analyst (PLG & Mixpanel Expert). Company Description This position is available only under an employment (labor) agreement. The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world. We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe. You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime. Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. We are currently looking for a Platform Product Analyst (PLG & Mixpanel Expert) , a Data-Driven Growth Partner for our Platform team. Your focus is our Self-Service funnel. We have a powerful cloud platform where users can register, pay, and launch infrastructure on their own. Your job is to analyze their journey in Mixpanel, find friction points, and help us increase Activation and Revenue. Job description You will work in a cross-functional setup: Daily collaboration: You will work side-by-side with our Digital Director, as well as Backend and Frontend Developers, Product Managers and the UX/Design team, helping them prioritize features based on data. Reporting: You will be structurally part of our BI (Business Intelligence) team, ensuring you have professional support and access to our data infrastructure. However, you will be embedded in the Platform team, working directly with the Digital Director on a daily basis. What You'll Do: Self-Service Optimization: Deep dive into the registration → activation → payment flow. Identify where users drop off and propose A/B tests to fix it. Product Qualified Leads (PQL): Analyze usage patterns to identify high-potential customers (e.g., "This startup just spun up 50 GPUs") and signal our Sales team to engage them. Event Tracking Design: You are the owner of our tracking plan. You tell developers exactly which events and properties to track. "If we don't track the 'Error 500' on the billing page, we are flying blind." Dashboarding: Create clear, actionable dashboards in Mixpanel for Product Managers and Execs. Hypothesis Testing: Help PMs formulate and measure experiments. Did the new onboarding flow increase activation? You give the final verdict. Who You Are: You are a Mixpanel Ninja. You don't just look at standard dashboards. You build complex cohorts, retention curves, and funnel steps to understand exactly what users are doing. You are AI-Native. You use AI tools (Cursor, ChatGPT, Claude) to accelerate your analysis. Need a complex JQL query for Mixpanel? You prompt it. Need to summarize user feedback? You use an LLM. You have a Growth Mindset. You care about business metrics (Revenue, Conversion, Retention), not just vanity metrics (Pageviews). You are constantly looking for "Aha! moments" that turn visitors into paying customers. What We Are Looking For: Experience: 3+ years in Product Analytics, preferably in a SaaS / PLG (Product-Led Growth) company. Tooling: Mastery of Mixpanel (or Amplitude/Heap). Implementation from the ground up. You know how to clean data and debug events. AI Workflow: Active user of AI tools for data analysis and automation. Basic Technical Literacy: You can read a JSON event payload and understand SQL logic (even if you don't write complex ETLs). English: Professional proficiency (C1/C2). Nice to Have: Experience with B2B Cloud/Infrastructure products. Understanding of Product-Led Sales (PLS) mechanics. Experience with A/B testing tools. Why Gcore? You will have a direct impact on our Self-Service revenue. You will work with a modern stack (Mixpanel + AI tools) without legacy baggage. We value data over opinion. If your analysis shows we are wrong, we change course. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics. Additional Information Benefits At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: - Competitive compensation - Flexible working hours and hybrid or remote options, depending on your role - Work from anywhere in the world for up to 45 days per year - Private medical insurance for you and your family* - Extra paid vacation and sick leave days* - Support for life’s important moments and celebrations - Language courses to help you connect and grow - Modern, welcoming offices with snacks, drinks, and entertainment* - Team sports and social activities* *Benefits may vary depending on your location. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics. BEE TALENTS INFORMATION CLAUSE ⬇️ The Administrator of your personal data is Bee Talents PSA, ul. Garbary 35/12, 61-868 Poznan, NIP: 7792463296. The purposes of processing your personal data are: conducting the initial stage of recruitment, based on your consents, participation in future recruitment processes conducted for our clients, based on the consent, defense against potential claims of our Clients for whom we conduct recruitment, in particular regarding the non-compliance of the Candidate’s profile with the requirements specified by the Client – which is a legitimate interest of the Data Administrator pursuant to art. 6 section 1 pt. f) GDPR. Due to data processing you have the right to access your personal data, request a copy of it, retrificate it, delete or limit it and withdraw of consents at any time, make an objection to the processing of personal data and lodge a complaint to the President of the Personal Data Protection Office if it violate the GDPR rights. You can read the full content of the information clause here: https://beetalents.com/eng-gdpr . To apply: https://weworkremotely.com/remote-jobs/bee-talents-platform-product-analyst-plg-mixpanel-expert-gcore-remote
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Headquarters: Arlington, Virginia, United States PerformYard is a profitable, growth-stage B2B SaaS company transforming how organizations manage and measure employee performance. Our AI-enabled platform is widely adopted for its customizable performance processes, ease of use, and measurable business impact. As we scale, PerformYard has significant opportunities to accelerate growth by creating AI-native workflows, expanding into adjacent talent modules, and modernizing our user experience. We are seeking a customer-obsessed, strategically minded Vice President of Product to translate PerformYard's AI-native vision into validated, high-impact product experiences. By delivering AI-native innovation, modernizing the user experience to accelerate adoption, and expanding monetization pathways, this leader will directly impact ARR growth and long-term market leadership. Reporting directly to the CTO and partnering closely with the executive team, the VP of Product will build and scale a high-performing product organization, drive a culture of data-informed decision making, and ensure product investments translate into tangible business outcomes. With a mandate to accelerate innovation and unlock durable competitive advantages, this leader will be central to PerformYard’s next phase of growth. This is a 100% Remote Position - now & forever What You’ll Do: Product Strategy & Vision Own and evolve the long-term product vision, embedding AI-native innovation into the core platform and future offerings Translate company strategy into a multi-year product roadmap aligned with ARR expansion, market positioning, and enterprise value creation Identify and prioritize high-impact growth opportunities across product, pricing, packaging, and adjacent talent modules Establish durable competitive advantages and defensible differentiation within the HR tech landscape Lead product discovery practices grounded in customer insight, market intelligence, and data Maintain a regular cadence of direct customer engagement to ground product decisions in real user needs Growth & Market Expansion Drive product-led growth initiatives that improve adoption, expansion, retention, and customer lifetime value Develop scalable monetization strategies, including AI-driven feature differentiation and packaging evolution Own the end-to-end user experience vision and partner with Design to modernize the product interface, ensuring AI-native features are intuitive and adoption-ready Partner with Sales and Marketing to sharpen positioning, messaging, and go-to-market effectiveness Evaluate build/partner/buy decisions and guide product integrations to accelerate strategic growth Product Execution & Leadership Lead roadmap execution in partnership with Engineering, ensuring high-impact delivery with measurable outcomes Partner with Engineering leadership on platform modernization, scalability, and AI-first development priorities Develop team members and build a strong leadership bench to sustain organizational performance Lead a high-performance culture of accountability, innovation, and cross-functional collaboration Maintain operational excellence and efficiency as teams scale Executive & Board Partnership Serve as a key member of the executive leadership team to drive growth and enterprise value Present product strategy, roadmap priorities, and growth impact to the Board with clarity and confidence Advise on capital allocation, market opportunities, and strategic product investments to maximize business impact Quantify the business impact of product initiatives through clear, outcome-based reporting Key Metrics and Success Criteria Product and Customer: Adoption rates, feature utilization, customer satisfaction and retention Revenue and Growth: ARR growth, upsell/cross-sell performance and churn reduction Product Delivery: Roadmap predictability, AI feature adoption, and time-to-value Team and Organization: Leadership development, team engagement, retention and performance What You’ll Bring: Bachelor’s degree with a track record of leadership success in Product leadership roles within B2B SaaS companies Proven experience scaling product organizations in growth-stage companies (50-250+ employees) Demonstrated success partnering with executive teams to align product strategy with business objectives and customer outcomes Hands-on experience building or scaling AI-native products, not just adding AI features to existing workflows, but fundamentally rethinking user experiences around AI capabilities Deep expertise driving product-led growth and monetization strategy in subscription-based SaaS models Strong executive presence with exceptional Board and investor communication skills Data-driven mindset, comfortable with aligning product investments to ROI and value creation Decisive leader who thrives in fast paced, scaling environments In addition to your compensation plan we also have medical, dental, and vision health insurance benefits w/ HSA plan, disability insurance, 401k plan, generous PTO, paid holidays and other benefits. To apply: https://weworkremotely.com/remote-jobs/performyard-vp-of-product
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Alice (Formerly ActiveFence) provided pay range This range is provided by Alice (Formerly ActiveFence). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $127.00/yr - $140.00/yr Alice is seeking an experienced and detail-oriented GenAI Safety Team Lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data-driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration. Key Responsibilities Operational and Quality Leadership Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities. Review and approve deliverables to ensure they meet quality, methodological, and ethical standards. Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities. Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development Design and refine red teaming methodologies for new Responsible AI projects. Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems. Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration Attend client meetings to address broader methodological or operational questions. Represent the red teaming function in cross-departmental collaboration with other ActiveFence teams. Must Have Proven background in red teaming, AI safety research, or Responsible AI operations. Demonstrated experience managing complex projects and teams in a technical or analytical environment. 3-5 Years of experience Strong understanding of adversarial testing methods and model evaluation. Excellent communication skills in English, both written and verbal. Exceptional organizational ability and attention to detail, with experience balancing multiple priorities. Confidence in client-facing environments, including presenting deliverables and addressing high-level questions. Nice to Have Advanced academic or research background in AI, computational social science, or information integrity. Experience authoring or co-authoring publications, white papers, or reports in the fields of AI Safety, Responsible AI, or AI Ethics. Engagement in professional or academic communities related to Responsible AI, trust and safety, or machine learning security. Participation in industry or academic conferences. Familiarity with developing or reviewing evaluation frameworks, benchmarking tools, or adversarial datasets for model safety testing. Proven ability to mentor researchers and foster professional development within technical teams. A proactive, research-driven mindset and a passion for ensuring safe, transparent, and ethical AI deployment. The salary range for this role in the US is $127K - $140K - Range may vary based on experience. Salary at the time of offer will be commensurate with experience. Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you! Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Research, Management, and Quality Assurance Industries Software Development, Technology, Information and Media, and Computer and Network Security Referrals increase your chances of interviewing at Alice (Formerly ActiveFence) by 2x See who you know
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Headquarters: Summary We are seeking a Data Scientist to analyze anonymized consumer interaction data and uncover patterns in unstructured language across call center and cross-channel conversations. The primary goal is to identify intent, surface trends, and turn language into structured insights that can inform content strategy and web experiences. General information This engagement focuses on a large historical dataset collected over 10 years across consumer information and interaction touchpoints. The data includes call center and cross-channel interactions, with existing KPI reporting around areas such as conflict types and call duration, but limited analysis of the underlying unstructured language. The data sits in a homegrown database and Azure environment, with an anonymized semantic layer. The initial phase will be exploratory and somewhat open-ended, starting with manual exports of conversation data before more connected pipelines are established. This role will work closely with a Program Manager supporting the broader effort. Tasks and Deliverables - Analyze anonymized consumer interaction and call center conversation data. - Review exported conversation data across channels, brands, and interaction types. - Identify intent patterns within unstructured language and conversation content. - Spot trends in customer language not captured by existing KPI reporting. - Convert unstructured language into structured insights and usable analysis frameworks. - Develop recommendations on how findings can inform content strategy. - Explore how LLM-era language analysis can support web content decisions. - Collaborate closely with the paired Program Manager on analysis priorities and outputs. Required experience - Proven experience as a Data Scientist working with large-scale datasets. - Strong experience analyzing unstructured text or language-based data. - Experience identifying trends, patterns, and intent signals from customer interactions. - Ability to translate exploratory analysis into structured, actionable insights. - Experience working with anonymized or sensitive consumer data. - Familiarity with Azure-based data environments. Engagement highlights - Opportunity to shape the first meaningful language analysis of a rich 10-year dataset. - High-ownership engagement with room to define the analytical approach. - Direct impact on how customer language insights inform content and web strategy. To apply: https://weworkremotely.com/remote-jobs/toptal-data-scientist-for-top-cosmetic-firm
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Machine Learning Engineer (Python) at BairesDev As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value. What You'll Do Design and implement production-ready machine learning models and algorithms using Python. Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training. Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments. Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability. Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift. Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements. What We Are Looking For 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering. Proven expertise in designing, training, and deploying machine learning models in production environments. Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Hands-on experience with Databricks for managing and scaling machine learning workloads. Strong background in optimizing model performance and ensuring production system scalability. Advanced proficiency in English. How we do make your work (and your life) easier: 100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now! Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BairesDev by 2x See who you know
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At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Machine Learning Engineer (Python) at BairesDev As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value. What You'll Do Design and implement production-ready machine learning models and algorithms using Python. Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training. Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments. Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability. Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift. Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements. What We Are Looking For 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering. Proven expertise in designing, training, and deploying machine learning models in production environments. Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Hands-on experience with Databricks for managing and scaling machine learning workloads. Strong background in optimizing model performance and ensuring production system scalability. Advanced proficiency in English. How we do make your work (and your life) easier: 100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now! Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BairesDev by 2x See who you know
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Headquarters: USA (Remote) / Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers. Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry. Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors. Enjoying the Journey: We believe in having fun while working toward our goals. We are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale . This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where data, experimentation, and machine l earning directly drive product decisions, optimization, and revenue growth . The ideal candidate brings expertise in areas such as: building strong data science organizations; designing data platforms and experimentation infrastructure; integrating ML into product decision loops; developing operating cultures built around data and experimentation; This is a non-executive board position , not an operating role. Appodeal is building a performance-driven technology platform powered by data and machine learning . Our systems rely on: large-scale data pipelines; real-time decision systems; automated optimization; experimentation and model iteration. The company operates an ecosystem including: advertising infrastructure; demand-side platform (DSP); supply-side platform (SSP); mobile game publishing and development. Machine learning and data infrastructure are core to the company’s long-term competitive advantage . Strategic Focus of the Role The mission of this role is to strengthen the board’s ability to guide the company in building a world-class data and machine learning organization . The director will contribute a perspective on: structuring and scaling data science teams; designing experimentation-driven product cultures; building high-quality data platforms and infrastructure; integrating ML systems into business decision processes; best practices for data-driven product development; organizational structures that allow ML systems to improve continuously. This role focuses on how ML-driven companies operate , rather than on the underlying algorithms themselves. Responsibilities Board members are expected to: Participate in quarterly board meetings; Provide independent strategic guidance to the CEO and leadership team; Contribute to discussions around data platform strategy and ML-driven product development; Provide perspective on organizational structure for data science and ML teams; Help evaluate major technical and infrastructure investments; Share insight from companies where ML directly drives business outcomes; Board members are not involved in day-to-day operations . Ideal Background We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization. Prior board experience is welcome but not required. What We Value We are looking for individuals who bring: deep experience running ML-driven product organizations: strong operational judgment; experience building data-driven engineering cultures; an independent mindset; willingness to challenge assumptions constructively. Time Commitment Estimated commitment: approximately four weeks per year . This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success! To apply: https://weworkremotely.com/remote-jobs/appodeal-independent-board-director-ml-driven-product-data-platform-leader
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SpendAi — I ship procurement-grade agents. ReWoo (paying UK client),
QuantScope (35+ exchanges, 6-provider LLM fallback, 33 unit tests).
1st-author Bengali speech AI paper. Kaggle Master Top 1%. Remote from Bangladesh (UTC+6). Available for paid trial this week. adilshamim.me · adilshamim696@gmail.com
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Dablam | BDR | NY and London | ONSITE (2 days/week) or REMOTE within NY State or UK | Full-time | Must be US or UK work-authorized (no visa sponsorship) Dablam is an AI-native reputation intelligence firm. We help corporations shape how they're understood in an information environment increasingly mediated by LLMs—surfacing information that's true and under-represented and getting it to the right audiences at the right time. We expand our team with multiple BDR roles in London and NYC.
We're looking for 3+ years of BDR/SDR or comparable B2B outbound experience, AI automation, Clay, strong cold-calling and written outreach skills, CRM experience (HubSpot/Salesforce), and a genuine interest in AI and reputation. Comp: competitive base + uncapped commission + equity, plus medical/dental/vision, 401(k) match, generous PTO, professional development budget. Apply by sending your CV to careers@ our website. Only natural persons with the right work permits, no recruiters, AI agencies or companies. Expect fast replies.
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YOU ARE As an experienced and Senior AI/LLM Architect, you will play a pivotal role in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems spanning classical machine learning, generative AI, and agentic systems ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards. Within this scope, you will take deep ownership of one or more critical architecture domains such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference serving as the lead authority in your domain across client engagements. THE WORK Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost. Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership. Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement. Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics. Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints. Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG. Design and implement the context layer—spanning knowledge graphs, vector search, and semantic retrieval—to create reliable, grounded RAG pipelines. Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection. Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching. Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems. Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails. Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts. Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components. Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions. Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs). Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns. Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture. EDUCATION Bachelor's Degree or equivalent Basic (required) Qualification Minimum of 2 years of experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Minimum of 2 years of experience in the Agentic, LLM and Generative AI space. Minimum of 4 years of coding experience using python Minimum of 2 years of experience architecting and operationalizing LLM driven application architecture patterns. Minimum of 4 years in coding engineering, machine learning, deep learning and NLP solutions and applications. Minimum of 4 years of experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions. Benefits of working at Accenture: 18 weeks paid parental leave Long & short-term career break opportunities Structured career development program Local and international career opportunities. Certified as a Family Inclusive Workplace™ Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people. We are proud to be in the top 3 of last year’s Diversity & Inclusion Index! We are a WORK180 Endorsed Employer, to see our benefits and policies click here All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career. Accenture is a an EEO and Affirmative Action Employee of Females/Minorities/Veterans/Individuals with Disabilities. Equal Employment Opportunity Statement for Australia: At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day. Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000. To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Design, Art/Creative, and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Accenture Australia by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com , Dropbox, Uber, Careem, and Fubo . You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What Makes You a Great Fit Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‑end systems; 2+ years leading while coding. Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU/accelerator experience. Multimodal pipelines (text + voice + screenshots). Prior experience in contact center/CX analytics or novelty/anomaly systems. Founder or founding engineer experience Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Clarity by 2x See who you know
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About Ultralytics: At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌎 Where And How You Can Work This full-time LLM Engineer position is based at our brand-new Ultralytics office in London, UK, with a hybrid model of three days in-office and two days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of large language models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment. Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search. Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support. Collaborating with our YOLO development team to explore and build innovative multimodal solutions. Automating deployment and testing processes using CI/CD pipelines with GitHub Actions. Your work will directly enhance the Ultralytics Platform and empower our global community of developers and researchers. 🧠 Skills And Experience 5+ years of experience in software engineering, with a strong focus on AI and machine learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek. Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO26 is a significant plus. Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural fit Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💰 Compensation And Benefits Competitive salary: Highly competitive based on experience. Equity packages: Participate directly in our company's growth and success. Hybrid flexibility: 3 days per week in our brand-new office — 2 days remote. Generous time off: 24 days vacation, your birthday off, plus local holidays. Flexible working hours: Tailor your working hours to suit your productivity. Tech & tools: Engage with cutting-edge AI projects and contribute to leading open-source software. Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. Team: Become part of a supportive and passionate team environment. What we offer: Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI-powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Ultralytics Handbook Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles. Link: https://handbook.ultralytics.com/ Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Ultralytics by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . GAP INTERNATIONAL – A unique, purpose-driven, consulting company ABOUT GAP INTERNATIONAL Gap International is a global consulting firm that partners with executives to achieve breakthrough business results. We’re a team of passionate problem-solvers committed to innovation and transformation. As part of our growth strategy, we’re expanding our AI capabilities to deliver cutting-edge solutions across the enterprise. This role offers the opportunity to work on impactful projects, including dialog-driven learning and business process acceleration. ABOUT THE ROLE You will be part of a tight knit, highly collaborative research and development team focused on building real-world AI applications. As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to explore data, shape requirements, and integrate AI capabilities into internal tools and digital products. Your contributions will drive innovation and shape transformative projects across the organization. RESPONSIBILITIES Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges and improve operational efficiency. Fine-tune foundation models and apply techniques such as retrieval-augmented generation (RAG) and prompt engineering. Collaborate with cross-functional teams to integrate AI capabilities into internal tools, workflows, and digital products. Evaluate and experiment with frameworks and tools like Hugging Face, LangChain, OpenAI, Claude, and LLaMA. Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging container orchestration tools where applicable. Lead architectural decisions and guide implementation of reusable frameworks for model evaluation, optimization, and deployment. Design, develop, and optimize autonomous AI agents. Apply emerging research to practical use cases, staying current with advancements in NLP and generative AI. Mentor team members and contribute to a collaborative, high-performance development environment. REQUIREMENTS Minimum Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred); candidates with a Master’s must have at least 2 years of relevant work experience. Strong experience developing and deploying LLM-based applications, including fine-tuning and prompt engineering. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with version control tools like GitHub. Familiarity with cloud-based AI services and APIs (e.g., OpenAI, AWS, Azure, GCP) and experience deploying models in scalable environments. Solid understanding of NLP concepts, transformer architectures, and evaluation metrics for LLM systems. Experience designing and implementing end-to-end training pipelines, including data shaping, model tuning, and performance optimization. Ability to communicate complex technical concepts clearly across teams and to non-technical stakeholders. Contributions to the AI/ML community through publications, open-source projects, or thought leadership environment. GAP INTERNATIONAL ASSOCIATES Purposeful people at work impacting companies around the world. People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone. Comfortable with ambiguity; eager to take on things they don't know how to do. Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential. Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally. WHAT WE OFFER A role with significant impact and visibility within the company. Opportunities for professional growth and development in a supportive and collaborative environment. Competitive salary commensurate with experience. A dynamic and inclusive company culture. TO APPLY Please submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects. Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US. Show more Show less Seniority level Associate Employment type Full-time Job function Engineering Industries Business Consulting and Services Referrals increase your chances of interviewing at Gap International by 2x See who you know Featured Benefits Inferred from the description for this job Medical insurance Dental insurance 401(k) Paid maternity leave Paid paternity leave Vision insurance
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Job Description About Us Sea Group is establishing a brand-new, strategic AI department. This department is dedicated to exploring the transformative potential of generative AI in revolutionizing human connection, self-expression and communication diversity, and social interaction. We are building the next generation of AI-native applications and a comprehensive Model-as-a-Service (MaaS) product support system. Based on massive multi-country data, we are building a leading multilingual AI ecosystem from the ground up. We look forward to more outstanding talents joining us to build leading Southeast Asian multilingual models and explore innovative AI-native applications. The AI application team focuses on the intersection of social connectivity and artificial intelligence. Our mission is to leverage LLMs to create digital personas that can act as personal assistants and social bridges. This team operates with a startup's agility backed by our Group's robust resources, aiming to define how humans interact in the AI era. About The Job Alignment & Tuning: Lead SFT and RLHF to enhance instruction following, reasoning, and persona consistency. Synthetic Data RL: Build automated data pipelines using Self-Instruct, Evol-Instruct, and synthetic data reinforcement to scale model capabilities. Safety & Alignment: Conduct Red Teaming and mitigate hallucinations, bias, and value misalignment. Bad Case Analysis: Perform root-cause analysis on model errors to drive iterative optimization of prompts and fine-tuning strategies. Requirements Master’s/PhD in Computer Science or related fields; Bachelor can be considered with a strong industrial experience. Minimum 3 years of experience in LLM post-training. Proven expertise in RLHF and "LLM-as-a-Judge" evaluation frameworks. Strong coding skills in Python/Linux; familiar with DeepSpeed/Megatron frameworks. [Plus] Background in AI social/companion products or large-scale NLP evaluation. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development, Internet Marketplace Platforms, and Technology, Information and Internet Referrals increase your chances of interviewing at Shopee by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Alice (Formerly ActiveFence) provided pay range This range is provided by Alice (Formerly ActiveFence). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150.00/yr - $178.00/yr As a GenAI CBRNE Cyber Red Team Expert, you will play a critical role in adversarially testing and strengthening the safety guardrails of GenAI systems against high-risk cyber threats involving CBRNE domains. You will combine deep cybersecurity expertise with CBRNE domain knowledge and hands-on AI red-teaming to design sophisticated adversarial prompts, multi-turn attack scenarios, jailbreaks, and model evaluations. Your work will identify circumstances in which GenAI systems could inadvertently provide information or capabilities that materially enable cyber-enabled CBRNE threats. The role requires an adversarial mindset: thinking creatively about how malicious actors could manipulate AI systems, combine seemingly benign information across multiple interactions, circumvent safeguards, or exploit model behavior to obtain sensitive cyber-CBRNE information. Key Responsibilities Execute rigorous adversarial red-teaming of Generative AI models across cyber-CBRNE threat scenarios, systematically probing models for vulnerabilities, safeguard bypasses, dangerous capability escalation, and unintended disclosure of sensitive operational information. Design and execute adversarial prompts, jailbreaks, prompt mutations, multi-turn conversations, and scenario-based evaluations that test whether model safeguards remain effective against sophisticated or obfuscated cyber-CBRNE requests. Develop realistic cyber-CBRNE attack scenarios involving critical infrastructure, industrial control systems, operational technology, cyber-physical systems, laboratory environments, hazardous-material facilities, and other high-consequence systems. Evaluate whether models can be manipulated into materially assisting threat actors through attack planning, vulnerability analysis, target-specific reasoning, operational troubleshooting, or the aggregation of individually benign information into higher-risk workflows. Identify and document failure modes and attack patterns, including indirect requests, role-playing, encoded or obfuscated prompts, terminology substitution, decomposition of harmful objectives into benign-looking subtasks, and multi-turn escalation. Conduct systematic taxonomy audits and safety evaluations, classify model failures by severity and exploitability, reproduce findings, and provide actionable recommendations to AI safety and model-alignment teams. Develop repeatable red-team test suites, adversarial datasets, evaluation rubrics, and risk taxonomies for measuring model resilience against emerging cyber-CBRNE threats. Maintain current knowledge of emerging GenAI attack techniques, AI safety research, cyber threat intelligence, CBRNE security risks, and cybersecurity threats affecting critical infrastructure and high-consequence environments. Requirements Location: Must be located in and authorized to work within the United States (excluding Illinois and Texas) or United Kingdom. Education: Advanced degree in Cybersecurity, Computer Science, Engineering, Security Studies, CBRNE-related sciences, or a closely related technical field. Equivalent advanced professional, military, intelligence, government, or industry experience may be considered. Cybersecurity Expertise: Deep understanding of cybersecurity concepts, adversarial techniques, vulnerability analysis, attack chains, threat modeling, and defensive security. CBRNE Knowledge: Strong understanding of security and risk considerations associated with Chemical, Biological, Radiological, Nuclear, and/or Explosive environments, particularly their intersection with cyber and digital systems. Red Team Expertise: Demonstrated experience with red teaming, penetration testing, adversarial simulation, vulnerability research, security testing, threat emulation, or comparable offensive-security methodologies. GenAI Red Teaming: Experience or demonstrated aptitude in adversarial prompt generation, jailbreak research, prompt mutation, multi-turn testing, model behavior analysis, and evaluation of LLM safety controls. ICS/OT Knowledge: Familiarity with industrial control systems, SCADA, operational technology, cyber-physical systems, or critical-infrastructure environments. Adversarial Mindset: Ability to think creatively about how sophisticated users could circumvent model safeguards through decomposition, obfuscation, contextual manipulation, multi-turn interactions, or combinations of otherwise permissible information. Communication: Strong technical writing skills with the ability to clearly document prompts, attack methodology, model responses, vulnerabilities, reproduction steps, severity assessments, and recommended mitigations. Preferred Qualifications Hands-on experience with LLM red teaming, AI safety evaluations, jailbreak research, prompt engineering, adversarial prompt writing, or model vulnerability research. Experience developing red-team test cases, adversarial datasets, model evaluation benchmarks, attack taxonomies, or automated LLM evaluation pipelines. Familiarity with frontier AI safety concepts, dangerous-capability evaluations, responsible scaling frameworks, model safeguards, and emerging GenAI security standards. Professional experience in offensive security, penetration testing, vulnerability research, cyber threat intelligence, incident response, or adversary emulation. Familiarity with MITRE ATT&CK, MITRE ATT&CK for ICS, NIST cybersecurity frameworks, IEC 62443, and other critical-infrastructure cybersecurity standards. Experience working in national security, defense, intelligence, government laboratories, critical infrastructure, CBRNE security, or high-consequence industrial environments. Relevant offensive-security, ICS/OT security, or cybersecurity certifications are advantageous. Expertise in one or more of the following red-team areas: GenAI Cyber Red Teaming: Adversarial testing of LLMs for cyber capabilities, including attempts to circumvent safeguards through prompt manipulation, decomposition, multi-turn interactions, and other adversarial techniques. ICS/OT Red Teaming: Security assessment and adversarial testing involving industrial control systems, SCADA, operational technology, cyber-physical systems, and critical infrastructure. Chemical & Industrial Cyber Risk: Understanding of cyber threats affecting chemical facilities, hazardous-material environments, industrial processes, process-control environments, and associated safety systems. Biological & Laboratory Cyber Risk: Understanding of cyber and information-security risks affecting laboratories, biotechnology environments, research infrastructure, laboratory automation, and associated digital systems. Radiological & Nuclear Cyber Risk: Understanding of cybersecurity risks and safeguards associated with nuclear or radiological facilities, monitoring systems, control environments, and supporting infrastructure. Cyber-Physical & High-Consequence Threats: Expertise in analyzing scenarios where compromise of digital systems could produce significant physical, safety, environmental, or CBRNE consequences. The salary range for this role in the US is $150K - $178K - Range may vary based on experience. Salary at the time of offer will be commensurate with experience. Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you! Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Research, Quality Assurance, and Analyst Industries Computer and Network Security, Software Development, and Technology, Information and Media Referrals increase your chances of interviewing at Alice (Formerly ActiveFence) by 2x See who you know
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Headquarters: Toronto, Ontario, Canada Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact. Responsibilities: Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Develop customer understanding through customer data, contributing to the overall analysis of the consumer path to purchase. Develop end-to-end solutions based on an in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, and allocation. Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation. Drive coordination between Domains, Products and Projects to help drive reuse and reduce redundancy/duplication in the D+A and broader client portfolio. Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions. Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs. Ensure data cataloguing in the Data Foundation is accessible to business stakeholders. Work with program Technical Data Product Managers to ensure expectations from D+A are managed and to eliminate disconnects regarding what can be addressed. 8–12 years of progressive experience across product management, data analytics, data science, and data management within business-facing environments. Minimum 7 years of experience in Product roles or in a Data Product Manager or Senior Business Analyst capacity with ownership of end-to-end data initiatives. Proven experience owning the full lifecycle of data products — from ideation, business case development, and roadmap definition to MVP launch, scaling, and continuous optimization. Demonstrated experience leading data migration and modernization programs (e.g., legacy to cloud-based architectures). Advanced SQL proficiency with strong understanding of data modeling, data architecture, and analytics frameworks. Hands-on experience with GCP is preferred. Proven ability to translate complex business requirements into structured epics, user stories, and technical documentation that enable efficient cross-functional delivery. Experience collaborating with cross-functional teams including Product Owners, Data Engineers, Developers, Testers, and Analytics teams. Strong executive presence with the ability to engage VP-level and senior stakeholders, translating business problems into high-level analytics and data solution approaches. Demonstrated ability to identify high-value analytics opportunities across core business domains (e.g., marketing, risk, operations) and define measurable paths to value realization. Experience driving innovative, business-oriented solutions using advanced analytics, feature engineering, and machine learning techniques. Strong people leadership capabilities, with experience building, mentoring, and managing multi-level teams. Excellent communication skills, with the ability to simplify complex technical concepts for both data & analytics teams and non-technical business stakeholders. Graduate degree in Business Analytics, MBA, or equivalent professional experience. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law. To apply: https://weworkremotely.com/remote-jobs/tiger-analytics-inc-manager-sr-manager-data-product-manager
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Headquarters: Canada - Remote Description de l'entreprise Workleap est une entreprise tech basée à Montréal avec comme mission de rendre le travail plus simple. Depuis 2006, on bâtit des produits innovants qui aident les équipes RH et TI à relever leurs plus grands défis. Workleap offre deux lignes de produits distinctes : La plateforme Workleap , une solution RH propulsée par l’IA qui élève la performance des équipes et stimule l’engagement des employés. ShareGate , le leader incontesté en migration et gouvernance Microsoft 365, reconnu par les professionnels TI du monde entier pour sa grande simplicité. Aujourd’hui, c’est plus de 20 000 entreprises partout dans le monde qui comptent sur les produits Workleap pour croître, évoluer et opérer. On est des bâtisseurs dans l’âme et ce qui nous passionne est clair : créer les produits les plus simples qui amènent de la valeur exceptionnelle à nos clients, un point c’est tout. Description du poste Concrètement à quoi va ressembler ton poste ? En tant que Senior Designer de Produit sur ShareGate Migrate , tu travailleras au sein d’un trio produit étroitement collaboratif (PM, Tech Lead, Designer) pour façonner l’expérience d’un produit utilisé dans des projets à fort impact et à forte sensibilité opérationnelle. Tu concevras des solutions qui aident les administrateurs TI à naviguer dans des scénarios de migration complexes avec clarté et confiance. Ton travail couvre à la fois la stratégie et l’exécution : définition des problématiques, conception des parcours et des interactions, affinage des détails d’interface, et itérations rapides basées sur les apprentissages. Tu exploreras de manière réfléchie comment l’ IA peut enrichir l’expérience, que ce soit pour simplifier la planification, faire émerger des insights pertinents ou guider les équipes dans leurs décisions techniques. C’est une occasion de travailler sur des enjeux concrets ayant un impact réel sur l’évolution des environnements numériques des organisations. Tu t’épanouiras dans ce rôle si tu aimes la complexité, collabores naturellement avec les ingénieurs et les PM, et accordes une grande importance à la création d’expériences utilisateur fiables, réfléchies et capables de passer à l’échelle. Responsabilités : Piloter le design de bout en bout au sein de ton équipe produit, de la définition des problèmes jusqu’au raffinement des interactions finales ; Transformer des parcours ambigus ou techniques en expériences intuitives et utiles pour des professionnels TI ; Concevoir des parcours, interfaces et interactions qui simplifient les scénarios de migration Microsoft 365 et cloud ; Collaborer étroitement avec les PM, les ingénieurs et les experts métier pour clarifier le périmètre et aligner la stratégie ; Prototyper, tester et itérer rapidement afin de valider les hypothèses et renforcer les solutions ; Utiliser les données, les retours clients et les insights produit pour guider les décisions et améliorer les résultats ; Explorer des opportunités liées à l’IA pour rendre les flux de migration et de gouvernance plus efficaces, prédictifs et fiables ; Contribuer à l’amélioration des pratiques design à l’aide de nouveaux outils, d’innovations et de nouvelles méthodologies ; Participer à l’évolution du design system et veiller à la cohérence de l’expérience à travers ShareGate. Une semaine typique? Tu évolueras naturellement entre exploration stratégique, design concret et collaboration étroite. Concrètement, tu pourras : Contribuer à la direction produit lors des activités de planification et de découverte en trio ; Traduire les besoins clients et les opportunités business en parcours clairs, wireframes et prototypes ; Travailler avec l’ingénierie pour affiner le périmètre, comprendre les contraintes et maintenir un haut niveau de qualité design tout au long du développement ; Présenter des travaux en cours aux équipes et aux parties prenantes lors de critiques ou de revues asynchrones ; Analyser les données de migration, les tendances de support et les comportements utilisateurs pour éclairer les décisions ; Raffiner les détails d’interaction et assurer des hand-offs clairs et cohérents ; Documenter les décisions et communiquer efficacement le raisonnement derrière les choix effectués ; Utiliser des outils d’IA pour mieux comprendre nos utilisateurs et augmenter ton efficacité ; Prototyper régulièrement avec des outils de prototypage assistés par l’IA pour communiquer, tester et valider les solutions. Tu bénéficieras d’autonomie, de responsabilité, et d’une équipe qui valorise l’exécution réfléchie et l’apprentissage continu. Qui est l’équipe que tu vas rejoindre ? Tu rejoindras une équipe multidisciplinaire où les designers sont impliqués tôt, influencent la direction produit et collaborent étroitement avec l’ingénierie et la gestion de produit. Le design chez Workleap est collaboratif, riche en feedback, et engagé à constamment élever le niveau, autant dans les processus que dans la qualité du craft. Quels sont les prochains défis qui attendent ton équipe ? ShareGate évolue rapidement, et les défis design à venir demandent à la fois créativité et rigueur. Tu contribueras notamment à : Des scénarios de migration à l’échelle entreprise, où la clarté, la prévisibilité et l’efficacité sont essentielles ; La modernisation des expériences clés de ShareGate Migrate et de l’écosystème plus large ; L’évolution d’un design system en croissance, soutenant de nouveaux patterns, l’accessibilité et la cohérence multi-produits ; Des expériences de planification et de guidance AI-native pour aider les équipes TI à anticiper les risques et prendre des décisions éclairées. C’est un rôle où tu peux influencer non seulement le fonctionnement du produit aujourd’hui, mais aussi son évolution sur les prochaines années. Qualifications 6+ ans d’expérience en design de produits B2B SaaS au sein d’équipes multidisciplinaires ; Fort sens de l’utilisateur et aisance dans des environnements ambigus et techniquement complexes ; Maîtrise de la stratégie, des parcours UX, du design UI et des détails d’interaction soignés ; Capacité à trouver l’équilibre entre rapidité d’exécution et haute qualité ; Expérience auprès d’audiences techniques (TI, outils d’administration, plateformes) — un atout ; Expérience en conception ou collaboration sur des fonctionnalités propulsées par l’IA ; Excellentes compétences en communication et en storytelling ; Grand souci du détail et engagement fort envers la qualité du design. Fourchette salariale : 120–145 k $ CAD. La fourchette salariale affichée reflète notre échelle de rémunération au Canada. Au moment de formuler une offre, selon la région où le candidat est basé, certains ajustements peuvent s’appliquer afin de refléter les conditions du marché local. Qui nous sommes On est une équipe de curieux et de créateurs passionnés, rassemblés par le même objectif : rendre le travail plus simple - et meilleur - pour tout le monde. Les défis stimulent notre créativité, on carbure à l'intensité, et repousser les limites fait partie de notre ADN. On pense que les meilleures idées naissent de l’expérimentation, de l’apprentissage continu, et parfois même de l’inconfort—c’est comme ça qu’on évolue. Depuis 2006, on réinvente la façon dont les équipes travaillent, en alliant créativité et technologie pour résoudre de vrais problèmes en TI et en RH. On avance vite, on apprend constamment, et on garde toujours nos clients au coeur de nos décisions. Si tu es une personne proactive, qui prend les choses en main, adore collaborer et n’a pas peur de plonger dans l’inconnu - tu trouveras parfaitement ta place parmi nous. Informations supplémentaires Chez Workleap, on bâtit ensemble, on se fait confiance et on se soutient, dans la réussite ou dans l'échec. Tu pourras t'exprimer, évoluer et développer ta créativité dans un environnement qui s'adaptera à ton quotidien et à tes besoins. Nos aspirations sont de bâtir un environnement de travail sain et inclusif. Il s’agit là de l’affaire de tous et de toutes. Notre processus Expérience Candidat chez Workleap : Entrevue téléphonique - Entrevue virtuelle par Teams - Mise en situation - Offre d'emploi En tant qu’entreprise technologique, nous utilisons l’IA pour optimiser le recrutement, tout en veillant à ce que toutes les décisions d’évaluation restent humaines. On a hâte d'apprendre à te connaître ! En postulant à ce poste, tu confirmes avoir lu et être en accord avec notre politique de confidentialité . #LI-Remote To apply: https://weworkremotely.com/remote-jobs/sharegate-migrate-chezworkleap-senior-product-designer-sharegate-migrate
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About Crexi: Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction— Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users. Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success. About the Role: The AI Engineer builds the agentic AI systems that power Crexi's platform, including orchestration, retrieval, and action layers grounded in Crexi's proprietary commercial real estate data. The role builds multi-step agentic workflows that understand user intent, orchestrate the right capabilities, and complete real work, not just answer questions, using tools like LangGraph and AWS Bedrock AgentCore. It exists to extend Crexi's AI-powered research, document generation, and zoning intelligence into unified, trustworthy agentic experiences for brokers, appraisers, lenders, and investors. What You'll Do: A typical day may include: Design and implement multi-step agentic workflows, including routing, planning, tool use, and state management, using frameworks like LangGraph/LangChain to move from user intent to real, completed actions. Build evaluation frameworks and production monitoring (offline evals, human-in-the-loop annotation) to measure quality, reliability, and business outcomes, not just model metrics. Build context and retrieval pipelines over Crexi's proprietary CRE data, handling the compound, qualitative queries that structured filters can't answer. Work primarily with Anthropic frontier models on AWS Bedrock, using Bedrock AgentCore for agent runtime, identity, and memory, and helps evaluate open-weight alternatives on cost, latency, and capability. Implement guardrails, structured outputs, and graceful ambiguity handling so agentic systems ask for clarification rather than acting on unclear intent, and establishes trace-level observability across LLM calls and tool invocations. Leverage agentic coding tools (e.g., Claude Code, Codex) for scaffolding, refactoring, test generation, and debugging, while critically reviewing AI-generated output for correctness, security, and performance. Rapidly prototype against real user feedback, partnering with Product and Design, and helps convert successful prototypes into scalable, reusable capabilities. Ensure AI outputs are explainable, source-linked, and trustworthy enough to inform real business decisions. Qualifications: 5+ years of professional software development experience in production environments with meaningful scope/ownership, including 2+ years hands-on building LLM-powered applications in production. Real experience with agentic architectures (multi-step pipelines, tool/function calling, state machines, memory), ideally with LangGraph or similar orchestration frameworks. Strong retrieval design skills: RAG systems, embeddings, vector search, and the judgment to know when retrieval is the problem and when the data is. Strong Python proficiency and real-world experience building backend services and APIs in production. Experience with cloud infrastructure (AWS preferred) and modern collaborative workflows (GitHub/GitLab, code reviews, CI/CD). Demonstrated use of agentic coding tools (e.g., Claude Code, Codex) in a professional workflow, without compromising quality. Comfortable operating in ambiguity and fast iteration cycles; experience designing LLM evaluation pipelines (offline evals, production monitoring, human-in-the-loop annotation) is a plus. Bachelor’s degree in Computer Science or related field, or equivalent practical experience. Who You Are: Thrives in a fast-paced, dynamic environment. Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization. Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately. Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously. Self-starter who independently owns their own success and demonstrates strong initiative. Responsive, action-oriented, and proactive in identifying and resolving issues. Strong problem-solving and creative thinking skills, with the ability to evaluate options and implement effective solutions. Effective collaborator and team player, with the ability to work cross-functionally and build strong working relationships. Demonstrated ability to handle sensitive and confidential information with the utmost professionalism and discretion. Why Crexi? Real impact, fast. Join a rapidly scaling startup where your work moves the needle from day one. Real ownership. Equity in Crexi's growth story. Built for growth. A flexible team structure designed for real career discretion. Time that is yours. Discretionary PTO - take what you need, when you need it. Health & Future covered. Medical, dental, and vision insurance, 401(k), FSA/HSA options, and Life & AD&D insurance. Set up right. Home-office reimbursement for remote employees. A winning team. A collaborative culture with team activities that bring people together. The anticipated base salary range for candidates who will work in our Playa Vista, California location is $179,000 to $241,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Crexi by 2x See who you know
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About the Team: We are building the next generation of AI Agentic capabilities for one of our core enterprise products, evolving it from a productivity tool into an intelligent assistant that can understand context, take actions, and get work done autonomously on behalf of our users. We are seeking experienced AI Engineers who are passionate about solving complex technical challenges, whether as a hands-on Individual Contributor or in a Team Lead capacity. As a senior member of the team, you will work as a close technical partner to our Product Manager, shaping the product direction from a technical feasibility standpoint while owning the architecture and delivery of our AI Agent products end to end. Job Description: Lead the technical architecture and end-to-end development of AI Agentic products for a core enterprise platform, partnering closely with the Product Manager to shape product direction from a technical feasibility standpoint. Architect and build scalable agent frameworks (multi-step reasoning, tool/function calling, memory, orchestration across multiple LLMs and services) that power our product's copilot and automation features. Own the full lifecycle of AI features — technical design, model selection/fine-tuning, evaluation, production deployment, and monitoring — ensuring reliability, latency, and cost efficiency at scale. Mentor junior AI engineers, set best practices for prompt engineering, RAG pipelines, and agent evaluation, and help build reusable AI infrastructure for the broader team. Partner cross-functionally with product, design, backend/infra, and security teams to ensure AI features are robust, safe, and compliant with data governance requirements. Stay on top of the latest advances in LLMs and agentic AI, and proactively identify opportunities to apply new techniques to our product roadmap. Requirements: Bachelor's degree or above in Computer Science, Artificial Intelligence, or a related field; a Master's degree is a plus. Minimum 5 years of software engineering experience, including at least 2 years of hands-on experience building AI/ML or LLM-powered systems in production. Deep expertise in LLM application development: prompt engineering, RAG, agent frameworks (e.g. LangChain, LlamaIndex, AutoGen), tool/function calling, and multi-agent orchestration. Strong foundation in machine learning/deep learning, with practical experience in model fine-tuning, evaluation, and optimization (latency, cost, accuracy trade-offs). Proven track record of shipping AI-powered products end-to-end, from prototype to production, ideally in a B2B/enterprise or SaaS setting. Excellent system design skills, able to architect scalable, secure, and maintainable AI infrastructure. Fast learner with a strong self-driven mindset and a bias for action; comfortable navigating ambiguity and driving technical decisions independently. Strong communication and collaboration skills, able to partner closely with product managers and designers to translate business needs into technical solutions. Experience with enterprise SaaS, productivity platforms, or AI copilot products is a strong plus. Show more Show less Seniority level Associate Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Sea by 2x See who you know
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Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities Design, develop, and deploy production agentic AI systems using OpenAI Agents SDK, Claude Agents SDK, or similar frameworks to power conversational healthcare experiences Build and maintain multi-agent orchestration systems that route user requests across specialized Line-of-Business AI agents using Agent-to-Agent (A2A) protocols Develop FastAPI backends and Node.js/TypeScript services that integrate LLMs (AWS Bedrock, Vertex AI) with healthcare systems through GraphQL APIs and AWS AppSync Implement healthcare-specific guardrails including PII detection/scrubbing, prompt safety, and compliance controls for patient-facing applications Deploy containerized AI/ML workloads to AWS (App Runner, ECS, Lambda) with infrastructure-as-code using Terraform and CI/CD pipelines (GitHub Actions) Collaborate with product and clinical stakeholders to design, evaluate, and optimize agentic AI workflows using quantitative metrics and user feedback Monitor LLM application performance, token usage, latency, and user satisfaction in production environments serving millions of health plan members Stay current with emerging patterns in generative AI, agent frameworks, and responsible AI practices for healthcare applications You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's degree in Computer Science, Data Science, or related field 4+ years of hands-on experience with Python or TypeScript or other relevant backend languages such as Java, Node.js Experience building RESTful or GraphQL APIs in production environments Understanding of LLM fundamentals (prompting, context management, or model integration) Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status) Preferred Qualifications Production experience with agentic AI frameworks (OpenAI Agents SDK, Claude Agents SDK, LangGraph, or similar) Hands-on experience with AWS Bedrock, Vertex AI, or Azure OpenAI services Experience measuring and improving LLM applications using evaluation frameworks, prompt iteration, or user feedback loops Infrastructure-as-code experience with Terraform or CloudFormation Experience with AWS services (Lambda, ECS, App Runner, AppSync, DynamoDB) Healthcare applications, HIPAA compliance, or experience in regulated industries Multi-agent systems, agent orchestration, or workflow engines FastAPI, Express, or similar backend framework experience All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Optum by 2x See who you know
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Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI-first company from the core out. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow. The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse's customer-facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch. What You Will Do Own the architecture of our internal agentic operating system. The team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse Ship production AI agent systems. This is a building role. You write code, review code, and own the quality of what goes to production. You will personally build and deliver significant agent systems. On a squad this size, nobody leads from a whiteboard. Design multi-agent coordination. Task decomposition across agents, handoff protocols, shared state management, orchestration logic. You know the difference between agents that genuinely coordinate and agents that run sequentially and hope for the best. You design the patterns that make multi-agent systems reliable. Build the evaluation and quality infrastructure. Automated eval pipelines, human-in-the-loop review systems, regression testing for prompt changes, domain-specific quality metrics. You treat evaluation as a first-class engineering concern and build the systems that make it possible at scale. Drive cost engineering. Token economics, caching strategies, model routing, prompt optimisation. The cost profile of production AI systems requires active engineering attention, and you build the cost awareness and tooling into the architecture rather than bolting it on later. Build the integration layer that makes existing Multiverse systems agent-accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working relationships with engineering teams across London and designing interfaces that serve both sides well. Set the standard. You define patterns for prompt management, retrieval, guardrails, and testing that the wider team and eventually the whole organisation adopts — and that, in time, shape how the companies who learn from Multiverse do this too. You do this through code, documentation, and architectural decisions, not through mandates. Mentor the team. Code review, architectural guidance, pairing on the hardest problems. You are not a line manager, but your technical leadership directly shapes the growth of the engineers around you. What We Are Looking For Production AI Agent Engineering You have shipped multi-agent systems or complex AI products to real users. You understand the engineering challenges that make agent systems a distinct discipline: Context management. Designing what enters the context window and what stays out. Retrieval strategies, chunking, conversation memory, summarisation, and the cost/quality trade-offs of each. You have made these decisions in production and seen the consequences. Model selection and routing. Choosing the right model for each task based on capability, latency, cost, and reliability. Building routing logic that matches work to the appropriate model rather than defaulting to one. Cost engineering. Token economics, caching, prompt optimisation, batching. You know the difference between a prototype that works and a production system that works at sustainable cost. You have built systems where cost was an engineering constraint, not someone else's problem. Tool use and agent augmentation. Designing what capabilities agents can reach: tool descriptions that models use reliably, failure handling, MCPs or equivalent interfaces. You understand that the quality of the tool layer determines whether agents are useful or fragile. Multi-agent coordination. Task decomposition across agents, handoff protocols, shared state, orchestration logic. You have built systems where multiple agents work together within a product domain and understand the architectural patterns that make coordination reliable. Evaluation and quality. Building eval frameworks for AI output: accuracy, helpfulness, safety, domain-specific criteria. Automated pipelines and human-in-the-loop review. You would not ship an agent system without a quality baseline. Product Thinking and Entrepreneurial Instinct On a small squad there is no gap between product thinking and engineering. You own the problem from user need to production system. You can sit with the people whose work you are transforming, understand their workflow, identify the highest-value intervention, and build it without waiting for a product manager to write a spec. You have either built something yourself (a product, a startup, a project with real users) or operated with that founder mindset inside a larger organisation. You understand that speed matters and that shipping something useful beats polishing something theoretical. AI-Native Engineering You build with Claude Code daily. You set context and constraints before generating code. You review AI output critically. You augment the tool with skills, system prompts, and domain context to make it effective. This is how the team works, and you help define what good looks like. Full-Stack Delivery You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end. The boundaries between these layers dissolve in agent systems, and so should your willingness to work across them. Communication You can explain technical strategy to a CPO, walk a product manager through a cost trade-off, and give direct feedback in code review. You represent the team's technical approach in cross-functional forums with product, design, learning design, compliance, and other engineering teams. You document decisions, not just code. What Would Set You Apart Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications Background as a founding engineer or technical co-founder Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. We need builders Narrow specialism. This team works across the full stack of an AI product. If you only do infrastructure, or only do model training, or only do frontend, this is the wrong fit People who need a detailed spec, a sprint plan, and a standup before they can write a line of code. We ship fast and iterate Candidates whose experience is limited to wrapping LLM APIs in thin application layers. We need depth in agent architecture, context strategy, tool design, and multi-agent coordination Engineers who optimise for technical elegance over user outcomes. The architecture serves the product Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Higher Education Referrals increase your chances of interviewing at Multiverse by 2x See who you know
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OUR VISION EQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent identity and authorization. It all runs on a single permission rail designed around one principle: your data belongs to you. We are preparing for a major public launch and scaling from build mode to operate-at-scale mode. WHAT YOU WILL DO As a Senior AI Engineer at EQUS, you own the AI assistant layer end to end: architecture, standards, and the service contracts that security, storage and front-end engineers support. You are a technical decision-maker, not only an implementer. You recommend the right approach for each problem, and you are prepared to say "this does not need AI" when it doesn’t. Privacy, safety, and cost sit at the center of every call you make. Your day-to-day includes, but is not limited to: AI architecture and context engineering. Design the context augmentation pipelines, spanning vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering, and select the right approach for each use case. Select chunking strategy, embedding models, and retrieval architecture for user-owned document systems with multi-tenant isolation. Privacy and security guides each decision. LLM integration and agent systems. Integrate and manage commercial and open-source LLM APIs, and deploy multi-agent systems with LangChain, LlamaIndex, or LangGraph. Lead model selection, prompt engineering, fine-tuning, and production evaluation across the AI stack. Evaluation and optimization. Build evaluation frameworks that measure output quality, relevance, and safety. Optimize pipelines for latency, token cost, and throughput, monitor production for drift and regression, and close the feedback loop from evals back into iteration. Privacy and safety engineering. Privacy is our product, not a compliance checkbox. Own PII handling, GDPR and CCPA compliance, encryption at rest and in transit, and user-scoped access boundaries at the systems level. Build prompt injection defenses, output filtering, and data leakage prevention, and partner with security and trust experts on agentic workflow guardrails and shadow AI detection. Infrastructure and standards. Deploy and operate production AI systems on AWS, Docker and Kubernetes, and GitLab. Define the AI service contracts and APIs other engineers build on top of, and set the standard for how AI works here, including mentoring engineers and raising the technical bar around you. WHAT YOU WILL NEED TO SUCCEED You have shipped AI in production, you know where pipelines break, and you make architectural decisions that prove right. You exercise strong judgment on build vs. buy and on what separates an MVP from a production system, and you know the cost-performance tradeoffs cold: when a smaller fine-tuned model outperforms a general-purpose large one, and when expanding the context window beats RAG. You treat AI safety as a first-class engineering concern rather than a review-stage checklist. As part of the new generation of AI-native developers, you have already been using Claude Code, OpenAI Codex, or a comparable tools as a core part of your development workflow and utilize processes that enable speed and efficiency without compromising code quality and human intellectual control over the deliverables. You have experience in both small and large teams, effectively use tools such as Jira and Confluence, and are a valuable colleague to product managers as new features and products are emerging. You have experience working effectively with consultants and outsourced development teams, including transitioning responsibilities for systems. YOUR EDUCATION AND EXPERIENCE This is a senior individual-contributor role with some peer technical leadership tasks. A relevant degree in computer science or engineering is preferred but highly qualified individuals with demonstrated experience shipping AI products at scale are welcome. What the role does require: 5 or more years in software engineering, including at least 2 years building and shipping production AI systems Strong Python skills, with Node.js or .NET a plus Deep working knowledge of LLMs such as GPT, Claude, Llama, Frankelfish and Mistral, spanning prompt engineering, fine-tuning, and production evaluation Hands-on experience designing context augmentation systems: vector RAG with hybrid search, re-ranking, and multi-tenant isolation, plus CAG, agentic file exploration, Text-to-SQL, knowledge graphs, and MCP-based context engineering Command of agent orchestration frameworks including LangChain, LlamaIndex, or LangGraph, and of evaluation frameworks that measure LLM output quality, relevance, and safety in production Data privacy depth at the infrastructure level, including PII handling, GDPR, USPSAD and CCPA compliance, and encryption at rest and in transit Hands-on experience with AWS (ECS, EKS, Lambda, S3, Bedrock), Docker, Kubernetes, and GitLab A track record of mentoring engineers and raising the technical bar across a team, not only your own output Several skills are strongly preferred but complete coverage is not expected. Experience running local open-source models such as Llama, Mistral, or Mixtral via Ollama, vLLM, or llama.cpp is a significant plus, as is fine-tuning with LoRA or QLoRA. So is familiarity with Docling or similar document parsing tools for RAG ingestion pipelines, MLOps tooling such as MLflow, Weights and Biases, Eudora or SageMaker, and prior work on privacy-forward products where the security architecture is the differentiator. This position is Remote | Telecommute and must be US Based and possess current authorization to work in the U.S. without sponsorship. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Sales, General Business, and Education Industries Wireless Services, Telecommunications, and Communications Equipment Manufacturing Referrals increase your chances of interviewing at Blockchains, Inc. by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . I - Who We Are? NewMind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful insights and extracting actionable outputs, we employ advanced taxonomies and ontologies to organize data in a structured and insightful manner, creating a semantic layer to better understand corporate data. Our mission extends beyond mere data structuring; we empower companies to transform their data into actionable insights with the deepest legal lens, facilitating dynamic corporate governance. With over 300 task-oriented and domain-specific AI models, built using an orchestration of experts framework, we provide robust solutions for dynamic corporate governance with the legal focus. By implementing large dynamic concept framework, we develop advanced AI models that ensure effective management of corporate data in the business world. Our expertise spans AI-driven business solutions, including AI legal tech products, excelling in natural language processing, deep learning, machine learning, data analysis, and data visualization. Headquartered in YTÜ Teknopark, Maslak, Istanbul, and operating four specialized laboratories—Cognitive Visualization Lab in India, Semantics Lab in Bomonti, and Big Data and Legal Tech Labs in Maslak—we are leaders in big data analysis in Türkiye and beyond. Our flagship dynamic knowledge networks, Mecellem, Malumat, and Mahfuz, empower professionals across various industries by streamlining complex tasks, optimizing decision-making, and managing business risks with legal precision. Through our cutting-edge AI tools, including Generative AI, Agentic AI, LLMs, text-to-speech and speech-to-text, image recognition, voice recognition, function call, graphRAG, OCR, blockchain and RAG, we set new standards in business intelligence, governance, and legal technology. We deliver smarter, more dynamic solutions for the business world, both in Türkiye and internationally. II - Who We Are Looking For? We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models, performing data analysis, and collaborating with cross-functional teams to translate business needs into actionable ML solutions. This role requires a deep understanding of machine learning algorithms, data analysis techniques, and proficiency in relevant programming languages and tools. III - What Will Be Your Responsibilities? (i) Develop and deploy machine learning models and data-driven solutions for various business needs. (ii) Perform data analysis to extract insights, identify trends, and inform strategic decisions. (iii) Collaborate with cross-functional teams to translate business requirements into ML and data science solutions. (iv) Stay up-to-date with the latest advancements in machine learning and data science fields. (v) Optimize existing models and analytical processes for improved performance and efficiency. (vi) Implement code quality and continuous integration best practices to ensure robust and reliable solutions. IV - What Is Required from You? (i) Qualifications : Bachelor's degree in Computer Engineering, Data Science, or a related field. Master's or PhD degree is a plus. (ii) Experience: 5+ years of experience in a data-focused team building deep learning models and predictive analytics. (iii) Expertise : Proficiency in Python programming language. Expertise in machine learning algorithms (NLP, CV) and frameworks (TensorFlow, PyTorch). Strong statistical and data analysis skills. Experience with deep learning and generative models. (iv) Knowledge : Proficiency in NoSQL (Elasticsearch, MongoDB) and SQL (PostGres, MySQL) databases. (v) Skills : Self-motivated, organized, proactive, and flexible. (vi)Language : Fluent in English, both written and spoken, is required for effective communication with international teams and clients. (vii) Competencies : Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for AI and its potential to transform businesses. V - Why Work at New Mind AI? New Mind AI offers a unique opportunity for ambitious young professionals seeking to make a real impact in the rapidly growing field of AI. As a company at the forefront of AI innovation, we are driven by a strong mission to empower businesses with actionable insights derived from data. This translates to a dynamic and stimulating work environment where you will be challenged to think critically, develop your skills, and contribute to groundbreaking projects. Here are some key reasons why New Mind is an ideal place for young talent: (i) be a part of something bigger : Our work goes beyond simply developing AI models. We are shaping the future of business and helping organizations navigate the complex world of data-driven decision-making; (ii) work with leading experts : You will be surrounded by a team of passionate and knowledgeable individuals who are experts in their fields. This collaborative environment fosters continuous learning and growth; (iii) gain valuable experience : You will have the opportunity to work on diverse projects, utilizing cutting-edge AI tools and technologies, including Generative AI, LLMs, and more; (iv) make a real difference : Your contributions will directly impact our company's growth and success, contributing to the advancement of AI technology and its positive impact on the world; (v) global reach : As a company with a global presence, you will be exposed to a diverse range of perspectives and opportunities to work with clients and partners from around the world; (vi) invest in your future : New Mind is committed to supporting its employees' professional development and offers opportunities for growth within the company. If you are a driven and ambitious young professional eager to make your mark in the world of AI, New Mind is the place for you. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at NewMind AI by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . What You'll Do: Shape the Future of AI-Powered Advertising At Criteo, AI is not a side project, it is at the heart of everything we build. Within the Criteo AI Lab, you'll join a team of researchers, machine learning engineers, and scientists who turn cutting-edge ideas into real-world products used by millions of people every day. We explore new approaches, challenge industry assumptions, and bring innovations from research papers to production systems operating at global scale. This is a unique opportunity to work at the intersection of scientific innovation, large-scale machine learning, and product impact. What you'll do As a Machine Learning Engineer, you'll help design the next generation of AI technologies powering Criteo's advertising platform. You will: Design, develop, and evaluate novel machine learning approaches to solve complex prediction, optimization, and recommendation problems. Transform research ideas into robust production systems capable of operating on petabytes of data and serving real-time decisions at massive scale. Partner closely with researchers, software engineers, product managers, and data scientists to bring innovative solutions from concept to impact. Experiment, learn, and iterate through rigorous offline evaluation and large-scale online A/B testing. Contribute to a culture of technical excellence by sharing knowledge, challenging existing approaches, and helping shape the future direction of our AI capabilities. Why this role is unique? You'll have the opportunity to: Influence products used across the global digital advertising ecosystem. See your ideas tested on billions of daily interactions. Work with large-scale datasets and modern machine learning technologies. Collaborate with internationally recognized experts in AI, machine learning, and distributed systems. Balance scientific exploration with tangible business impact. Who You Are: Strong foundations in Machine Learning, Deep Learning, Statistics, or Applied Mathematics. Experience building, training, and evaluating deep learning models in production environments. Familiarity with modern approaches such as Transformers, representation learning, recommendation systems, sequence modeling, or generative AI. Proficiency in Python and machine learning frameworks such as PyTorch. Experience working with large-scale datasets and distributed training environments. A strong experimental mindset, combining scientific rigor with a focus on measurable outcomes. The ability to collaborate effectively across research and engineering teams. Our Technical stack : At Criteo AI Lab, you'll work on large-scale recommendation and prediction systems tackling challenges in personalization, ranking, optimization, and user understanding. Our teams leverage: Python and PyTorch for model development Large-scale distributed training infrastructure and GPU computing Petabyte-scale data processing platforms Advanced online experimentation and A/B testing frameworks Real-time inference systems operating under strict latency constraints Modern MLOps practices to bring innovations from research to production What makes this team unique is the opportunity to bridge research and production, transforming cutting-edge AI innovations into products serving billions of advertising opportunities every day. We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application! Who We Are: We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses. At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment. We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics. What We Offer: 🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both. 📈 Grow with us – Learning, mentorship & career development programs. 💪 Your wellbeing matters – Health benefits, wellness perks & mental health support. 🤝 A team that cares – Diverse, inclusive, and globally connected. 💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level. Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Advertising Services Referrals increase your chances of interviewing at Criteo by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . What You'll Do: Shape the Future of AI-Powered Advertising At Criteo, AI is not a side project, it is at the heart of everything we build. Within the Criteo AI Lab, you'll join a team of researchers, machine learning engineers, and scientists who turn cutting-edge ideas into real-world products used by millions of people every day. We explore new approaches, challenge industry assumptions, and bring innovations from research papers to production systems operating at global scale. This is a unique opportunity to work at the intersection of scientific innovation, large-scale machine learning, and product impact. What you'll do As a Machine Learning Engineer, you'll help design the next generation of AI technologies powering Criteo's advertising platform. You will: Design, develop, and evaluate novel machine learning approaches to solve complex prediction, optimization, and recommendation problems. Transform research ideas into robust production systems capable of operating on petabytes of data and serving real-time decisions at massive scale. Partner closely with researchers, software engineers, product managers, and data scientists to bring innovative solutions from concept to impact. Experiment, learn, and iterate through rigorous offline evaluation and large-scale online A/B testing. Contribute to a culture of technical excellence by sharing knowledge, challenging existing approaches, and helping shape the future direction of our AI capabilities. Why this role is unique? You'll have the opportunity to: Influence products used across the global digital advertising ecosystem. See your ideas tested on billions of daily interactions. Work with large-scale datasets and modern machine learning technologies. Collaborate with internationally recognized experts in AI, machine learning, and distributed systems. Balance scientific exploration with tangible business impact. Who You Are: Strong foundations in Machine Learning, Deep Learning, Statistics, or Applied Mathematics. Experience building, training, and evaluating deep learning models in production environments. Familiarity with modern approaches such as Transformers, representation learning, recommendation systems, sequence modeling, or generative AI. Proficiency in Python and machine learning frameworks such as PyTorch. Experience working with large-scale datasets and distributed training environments. A strong experimental mindset, combining scientific rigor with a focus on measurable outcomes. The ability to collaborate effectively across research and engineering teams. Our Technical stack : At Criteo AI Lab, you'll work on large-scale recommendation and prediction systems tackling challenges in personalization, ranking, optimization, and user understanding. Our teams leverage: Python and PyTorch for model development Large-scale distributed training infrastructure and GPU computing Petabyte-scale data processing platforms Advanced online experimentation and A/B testing frameworks Real-time inference systems operating under strict latency constraints Modern MLOps practices to bring innovations from research to production What makes this team unique is the opportunity to bridge research and production, transforming cutting-edge AI innovations into products serving billions of advertising opportunities every day. We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application! Who We Are: We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses. At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment. We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics. What We Offer: 🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both. 📈 Grow with us – Learning, mentorship & career development programs. 💪 Your wellbeing matters – Health benefits, wellness perks & mental health support. 🤝 A team that cares – Diverse, inclusive, and globally connected. 💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level. Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Advertising Services Referrals increase your chances of interviewing at Criteo by 2x See who you know
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Delightree Operations mgmt for 1B+ franchise crew B2B Early Stage Top Investors Save Apply Now Senior - AI Engineer Remote ( Everywhere ) |4 years of exp |Full Time Posted: 2 months ago Hires remotely in Everywhere Remote Work Policy Remote only Company Location San Francisco • Bengaluru Visa Sponsorship Not Available Relocation Not Allowed About the job Mid-Level AI Engineer — Delightree About the Role We're looking for an AI engineer to work on the intelligence layer of our platform — building agentic workflows, data-aware AI systems, and analytical pipelines that help franchise operators understand what's happening in their business and take the right action. You'll work across data, AI, and backend pipelines on AWS, and ship production-grade systems end to end. What You'll Do Build conversational query interfaces and agentic workflows over MongoDB and SQL data to surface operational insights Design and ship MCP servers to expose warehouse data as clean, agent-consumable interfaces Build ReAct agents that reason over multi-source data and take multi-step actions Deploy and monitor AI systems on AWS, collaborating with backend and product to ship end-to-end pipelines What We're Looking For Must Have 3–5 years of ML experience with Python, including 1+ years shipping agentic systems in production (LangChain, LangGraph, CrewAI, ADK or similar) Solid understanding of MongoDB and SQL data systems, including KPI and analytics-style data Experience building or consuming MCP servers and ReAct agents in production Hands-on experience with retrieval pipelines, embeddings, vector stores, and traditional ML/NLP AWS deployment and observability experience (Langfuse or LangSmith) Nice to Have Experience with BI-style data models or dashboarding systems Familiarity with Snowflake or SQL warehouses Prior work building conversational query layers or semantic search systems Tech Stack Python LangChain LangGraph MCP MongoDB SQL AWS Langfuse / LangSmith Vector Stores Apply Now About the company Delightree Operations mgmt for 1B+ franchise crew 11-50 Employees San Francisco 11-50 Mobile Business Productivity Productivity Software B2B Early Stage Top Investors Employees joined from National Innovation Foundation - India PostNet International Franchise Corporation Survaider Nextbite Learn more about Delightree Perks Healthcare benefits Equity benefits Remote friendly Wellness benefits Explore Delightree's perks and benefits Founders Madhulika Mukherjee Founder Tushar Mishra Founder • 7 years San Francisco Madhulika Mukherjee Founder San Francisco View the team Similar Jobs Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Kawa Space ELINT & SIGINT Frontend Developer - 1 ₹20L – ₹20L • No equity Apply Spenza "Connectivity as a Service". Enable any business to be a virtual mobile operator Full Stack Engineer- MERN ₹12L – ₹35L • 0.1% – 0.2% Apply BlueSapling - Intelligence Served Software Developer - Backend ₹7L – ₹9L Apply Distill Track website changes and get alerts Senior Full Stack Engineer ₹30L – ₹60L • No equity Apply OneAssure Insurance Distribution Platform & Technology Service Provider SDE - Intern ₹20,000 – ₹25,000 • No equity Apply Xoxoday A SaaS platform to align, engage, reward & recognize employees & channel partners Senior Backend Developer (Nodejs) ₹15L – ₹20L • No equity Apply Sosuv Consulting We provide specialised Product, Software Development and Support services to the global fi FIX Analyst ₹4L – ₹25L • No equity Apply Nexera Answer engine for professional traders Founding Engineer ₹30L – ₹50L • 0.5% – 5.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Matcha.fm | FULLY REMOTE (US / Canada / Europe / UK / Brazil / LATAM) | Full-time | https://matcha.fm Repeat founder building something new, hiring for these roles: Founding AI Engineer (ML/data) - https://matcha.fm/apply/ai Backend Engineer — https://matcha.fm/apply/be Full-Stack / Frontend Engineer — https://matcha.fm/apply/fse Design — https://matcha.fm/apply/design Marketing / GTM / Growth — https://matcha.fm/apply/marketing
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About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. What We’re Looking For We’re opening an office in London, UK and looking for AI Engineers to design and deploy production-grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI. You’ll build and ship real-world AI applications — from intelligent agents to full-stack AI products — and see them operate at scale in mission-critical environments. This role is highly hands-on. You’ll collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM-powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi-step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long-horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems Ownership of high-impact projects across top enterprises A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Distyl by 2x See who you know
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Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation. You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM. To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks. Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity, OpenAI Agent SDK) Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics). Experience working in highly ambiguous environments, and operate with urgency Startup experience, particularly in scaling products from zero to one Strong Candidates Have Deep experience leveraging agents across applications and business workflows to drive meaningful impact Experience designing and deploying complex agentic systems using LLMs (e.g. deep research) Hands-on work with multi-agent coordination, routing, and tool orchestration This role is a full-time position located out of our office in Arlington, VA or Pittsburgh, PA. This role may require up to 25% travel. Scope Of Responsibilities Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities. Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity. Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization. Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools. Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs. How We Define Success (Key Metrics)Internal Team Enablement (Operations, Customer Success, Engineering) Operational Cost Savings: Reduce operational expenses for targeted teams through workflow automation via AI agents. Employee Productivity: Achieve measurable increases in internal team capacity and velocity through AI-driven workflows and tools. Internal Adoption Rate: Achieve a high adoption rate of new AI agents and enablement tools within key departments within the first 90 days. Accelerated Development: Reduce feature development timelines through AI-assisted coding, documentation, and testing tools. Qualifications U.S. Citizenship is required Required Skills Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments Practical experience in building, developing, and productionizing machine learning systems Advanced software skills in Python and other programming languages Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices). Hands-on experience with cloud infrastructure (e.g. AWS, GCP) A strong desire to learn and investigate new technologies Familiarity with Git source control management Ability to work collaboratively with little supervision A burning desire to work in a challenging fast-paced tech environment A burning desire to work in a challenging fast-paced tech environment Desired Skills Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Air by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures. Requirements Key Requirements: Experience: Minimum of 7+ years of professional experience in software development and AI engineering Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure Technical Standards: Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration Preferred Skills: Experience working with Bedrock Agent/Core services is a significant plus Core Focus Areas & Expectations Candidates will be expected to demonstrate deep technical proficiency in the following areas: Retrieval-Augmented Generation (RAG) Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators Expertise in latency optimization and relevance tuning to ensure production-grade performance Strategic approach to document chunking and embedding, balancing granularity with semantic coherence Agent Development Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing Evaluation and Optimization Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection Ability to iterate systems based on performance metrics and continuous improvement practices Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tiger Analytics by 2x See who you know
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Descrição Estamos em busca de um(a) AI Engineer / AI Platform Engineer para atuar no desenvolvimento da plataforma interna de IA da Bridger, responsável pela construção de agentes corporativos inteligentes. Você participará da evolução de soluções de IA em ambiente corporativo, desenvolvendo agentes baseados em LLMs, integrações com sistemas empresariais, pipelines de RAG, ferramentas reutilizáveis e componentes de plataforma com foco em escalabilidade, segurança e governança. Buscamos um profissional com perfil hands-on, visão de arquitetura, forte conhecimento em engenharia de software e experiência prática em IA Generativa aplicada à produção. Responsabilidades e atribuições Projetar, desenvolver e evoluir a plataforma de agentes de IA da Bridger, garantindo escalabilidade, segurança e alta disponibilidade. Desenvolver agentes inteligentes utilizando LLMs, RAG, Tool/Function Calling e integrações com sistemas corporativos. Construir e manter componentes reutilizáveis, como conectores, tools, APIs e serviços para integração com bancos de dados, ERPs, webhooks e MCP Servers. Projetar e implementar pipelines de RAG, incluindo ingestão de documentos, processamento, embeddings, indexação, retrieval, reranking e avaliação da qualidade das respostas. Definir e implementar padrões de arquitetura, versionamento, testes automatizados, observabilidade, monitoramento e governança para aplicações de IA. Desenvolver mecanismos de avaliação contínua de agentes e modelos, utilizando métricas de qualidade, datasets de validação e testes de regressão. Atuar na integração entre aplicações de IA e sistemas legados, garantindo segurança, controle de acesso e conformidade com as regras de negócio. Apoiar projetos de implantação, realizando discovery técnico, levantamento de requisitos, definição de arquitetura e integração com ambientes corporativos. Transformar soluções desenvolvidas em ativos reutilizáveis, como templates, playbooks, agentes-base, componentes compartilhados e documentação técnica. Atuar como referência técnica do time, realizando code reviews, mentorias, definições arquiteturais e disseminação de boas práticas de engenharia. Colaborar com equipes multidisciplinares, traduzindo necessidades de negócio em soluções técnicas escaláveis e de alto impacto. Contribuir para a evolução contínua da plataforma, propondo melhorias de performance, custo, segurança, experiência do desenvolvedor e qualidade das entregas. Requisitos e qualificações Experiência sólida com desenvolvimento backend em Python. Conhecimento avançado em FastAPI, Pydantic, programação assíncrona (async) e testes automatizados. Experiência prática no desenvolvimento de aplicações utilizando LLMs em ambientes de produção ou próximos de produção. Conhecimento em Prompt Engineering, engenharia de contexto, Tool/Function Calling, streaming, retries, fallback e otimização de custo e latência. Experiência com RAG (Retrieval-Augmented Generation), incluindo ingestão de documentos, embeddings, indexação, retrieval, reranking e avaliação de respostas. Experiência no desenvolvimento e consumo de APIs REST, autenticação, autorização, versionamento e documentação. Conhecimento sólido em SQL e modelagem de dados. Experiência com PostgreSQL. Familiaridade com bancos vetoriais e mecanismos de busca semântica, como pgvector, OpenSearch, Elasticsearch, Pinecone ou ChromaDB. Experiência com Docker e conhecimentos em Kubernetes ou plataformas de orquestração de containers. Conhecimento em segurança aplicada à IA, incluindo RBAC, proteção de dados (PII), auditoria, isolamento de dados e mitigação de Prompt Injection. Capacidade de liderar tecnicamente projetos, realizar code reviews e apoiar o desenvolvimento do time. Boa comunicação e habilidade para atuar em conjunto com equipes técnicas, áreas de negócio e clientes. Benefícios Telemedicina para pré-avaliação médica sem sair de casa TotalPass para cuidar da sua saúde física Canal de apoio psicológico e Serviço Social Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Bridger by 2x See who you know
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YOU ARE As an experienced and senior AI/LLM Architect, you will play a pivotal role in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems — spanning classical machine learning, generative AI, and agentic systems — ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards. Within this scope, you will take deep ownership of one or more critical architecture domains — such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference — serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture — ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms. A critical dimension of this role is owning the design of a comprehensive AI context layer — drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content — to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery — including architecture decision records (ADRs), component and data flow diagrams, and integration specifications — and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence. Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value. THE WORK Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost. Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership. Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement. Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics. Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints. Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG. Design and implement the context layer—spanning knowledge graphs, vector search, and semantic retrieval—to create reliable, grounded RAG pipelines. Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection. Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching. Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems. Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails. Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts. Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components. Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions. Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs). Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns. Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture. QUALIFICATION Minimum of 5 years of experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Minimum of 2 years of experience in the Agentic, LLM and Generative AI space. Minimum of 4 years of coding experience using python Minimum of 2 years of experience architecting and operationalizing LLM driven application architecture patterns. Minimum of 4 years in coding engineering, machine learning, deep learning and NLP solutions and applications. Minimum of 4 years of experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Business Consulting and Services Referrals increase your chances of interviewing at Accenture Southeast Asia by 2x See who you know
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About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems through multi-agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production-ready—handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non-deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills And Experience Hands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production-grade, cloud-native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM-based systems Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG Experience with real-time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering Industries Information Technology & Services Referrals increase your chances of interviewing at Indicium AI by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai . About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Singapore. What You Will Do AI, Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers. Develop LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling and tool use. Build and deploy classical ML and deep learning solutions (e.g. forecasting, classification, tabular models) where they outperform or complement LLM-based approaches. Implement guardrails, human-in-the-loop checkpoints, and evaluation frameworks to ensure responsible, production-grade AI behavior. End-to-End AI Application Development Own the full development lifecycle from problem framing, data exploration, cleaning through integration, testing and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications. Deploy and operate models and services in customer environments, including cloud, on-prem, and fully air-gapped, covering infrastructure provisioning, Kubernetes, Helm, ingress/TLS and GPU enablement. Right-size deployments: load-test serving stacks to measure real throughput, latency and concurrency, then turn those results into concrete GPU sizing guidance customers can plan and budget against. Build LLMOps infrastructure for continuous monitoring and improvement in production. Customer Engagement & Delivery Serve as the customer-facing point of contact across a range of stakeholder profiles, including data scientists, engineers and business leaders, translating real-world problems into AI solutions. Triage and resolve technical customer support tickets from initial diagnosis through to resolution. Run hands-on training, workshops and enablement sessions to help customer teams get the most out of the platform. Collaborate closely with internal stakeholders, including Product Managers, Engineering, and Kaggle Grandmasters to deliver cohesive, high-quality solutions. Contribute to pre-sales and proof-of-concept engagements: building fast, credible demonstrations that win technical trust, and scoping engagements realistically. Solid project management skills: able to plan, prioritize and track multiple concurrent customer engagements to completion. End-to-end ownership of what is shipped into a customer environment. What We Are Looking For Experience & Background 3+ years of hands-on engineering experience, including 1+ years working directly on Agentic AI systems with a track record of end-to-end AI application development and deploying applications into production. Demonstrable experience building LLM-powered applications: RAG pipelines, agentic workflows, fine-tuned models or similar. Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Experience working in security-accredited or fully air-gapped environments with no internet egress: offline delivery, image mirroring, private registries and dependency bundling. Skills & Capabilities Deep understanding of modern GenAI and Agentic AI concepts: prompt engineering RAG, fine-tuning, model evaluation, guardrails, LLMOps and MCP. Good understanding of traditional machine learning deep learning, feature engineering and evaluation metrics. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Able to serve open-weight models with vLLM (or equivalent) across single and multi-node setups, sizing deployments from a model config and tuning key flags (tensor parallelism, max model length, GPU memory utilization, concurrency). Fluent in serving-performance trade-offs: time-to-first-token, inter-token latency, throughput, concurrency and context length. Working knowledge of AWS fundamentals (EC2, GPU instances, VPC, IAM, S3, CloudWatch) and GPU cost optimization. Kubernetes and Helm fluency: deploying, upgrading, and debugging workloads. Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications. Experience with observability for LLM systems: log aggregation and monitoring (e.g. Fluentd, Prometheus, Grafana) and LLM-specific tracing tooling (e.g. Langfuse or equivalent). Strong problem-solving instincts: comfortable with ambiguity, able to move fast without sacrificing engineering quality. Comfortable operating within change-control or accreditation processes where fixes cannot be pushed freely. Clear communicator who can explain complex AI systems and technical constraints to non-technical stakeholders. Able to write good, consistent technical documentation, both internal (runbooks, sizing notes, post-incident write-ups) and customer-facing. How to Stand Out From the Crowd Experience in public sector, financial services, healthcare or other regulated industry AI deployments. Prior experience in a customer-facing or forward deployed engineering role. Keeps up with the latest advancements in the AI and agentic AI space and is able to incorporate them into client deliverables. Working knowledge of hardening practices relevant to enterprise/public-sector deployments: mTLS, log masking and redaction, secrets management, RBAC and audit requirements. Kaggle or competitive ML experience. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Internet Publishing Referrals increase your chances of interviewing at H2O.ai by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute–with confidence scoring to know when to automate and when to seek human input. We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You’ll spend most of your time advancing our core learning library and building the harness that powers our platform’s agents across all customers. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration. What You'll Do Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities. Design and implement LLM-powered systems and agentic workflows from concept to production Build agentic features for knowledge management–think agents that can edit, update, and maintain large knowledge bases autonomously Build reliability and confidence systems–evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human Architect async, scalable systems that handle complex AI orchestration Contribute to the direction of our AI strategy and product capabilities What We’re Looking For You've built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail You've shipped something meaningful to production and can explain how it evolved You're excited by open-ended problems where the solution might not exist yet You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering You have experience building agents and autonomous systems You can navigate between research papers and production code with equal comfort You're a strong communicator who can clearly explain your work to teammates and customers You have 3+ years of professional experience Don’t meet all of the above traits? We’d still love to hear from you. We’re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we're building Compensation & Benefits Edra offers generous compensation and benefits in both New York & London: Competitive base salary & meaningful equity Top tier health, dental, & vision plans: Top plans with 100% premium coverage in the US (and a One Medical membership) Private medical & dental coverage in the UK Flexible paid time off Lunch provided in office most days, snacks & drinks too A stipend to set up your workspace A Few Details We work together in person five days a week from our offices in the West Village (New York) and Holborn (London). Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Edra by 2x See who you know
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Direct message the job poster from G-Research Poppy Collins Poppy Collins Talent Acquisition Specialist at G-Research - Engineering We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are building the AI layer that will transform how teams across the firm work, from quant research to engineering, risk and operations. The Applied AI team sits at the centre of this effort. We are a small, high-autonomy team focused on defining how AI should be used across the entire company and delivering it in practice. We own a number of large high-impact projects end-to-end. We also embed with teams across the firm when needed, partnering with quantitative researchers to build tools that accelerate discovery, taking promising prototypes from engineering teams and scaling them for firm-wide use, or working with corporate functions to automate a workflows. Key responsibilities of the role include: Working across areas such as retrieval and knowledge systems, multi-agent orchestration, evaluation and reliability and context engineering Taking AI systems from early prototypes to trusted, production-ready solutions Owning high-impact projects from initial concept through to production Partnering with teams across the firm to identifying problems and delivering scalable solutions Turning team-specific use cases into solutions that can be adopted more widely across the organisation Who are we looking for? You are a strong software engineer who actively builds with modern AI technologies. You have experience delivering LLM-powered systems in production and understand how to design, evaluate and operate them effectively. The ideal candidate will have the following skills and experience: Hands-on experience building with LLMs in production, including agents, RAG pipelines, MCPs, tool-use, multi-step workflows. You've used frameworks like LangGraph, Pydantic AI or similar, and you know when to use them and when to throw them away Strong Python engineering skills. Clean, testable, production-quality code Experience with context engineering, including retrieval strategies, prompt construction, information routing, memory Experience with evaluation and observability for AI systems. Measuring accuracy, detecting regressions, understanding failure modes The ability to work across domains. You're comfortable embedding with a quant research team one month and an ops team the next Clear communication Fine-tuning or adapting foundation models, such as LoRA and DPO Comfort integrating with heterogeneous stacks, such as C#, C++, JVM, gRPC, Kubernetes Contributions to open-source AI projects, technical writing or conference talks. We're looking for people who want to shape how an entire organisation works with AI. If that's you, we'd love to talk. Why join us? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business ) and dedicated barista bar 35 days annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events Show more Show less Seniority level Not Applicable Employment type Full-time Job function Information Technology, Finance, and Engineering Industries Financial Services and Capital Markets Referrals increase your chances of interviewing at G-Research by 2x See who you know
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We are looking for a highly skilled AI Engineer specializing in Large Language Models (LLMs) and Agentic AI. You will architect, build, and deploy production-grade LLM applications — from intelligent knowledge bases and RAG systems to autonomous multi-agent workflows. You will work hands-on with open-source Chinese and international LLMs (DeepSeek, Qwen, Kimi, etc), implementing everything from model deployment and inference optimization to prompt engineering and agent orchestration. This is a builder role for someone who thrives at the intersection of research and engineering. Key Responsibilities LLM Application Development Design and develop enterprise LLM-powered applications: intelligent Q&A systems, enterprise knowledge base assistants, AI copilots, document analysis tools, and automated customer service agents. Architect and implement end-to-end RAG (Retrieval-Augmented Generation) systems: document parsing and chunking (recursive, semantic, agentic), embedding generation (BGE, M3E, GTE), vector retrieval (dense + sparse hybrid search), reranking (bge-reranker, Cohere Rerank), and response synthesis with source attribution. Develop and optimize Prompt Engineering strategies: chain-of-thought, tree-of-thought, few-shot prompting, structured output parsing (JSON mode / Pydantic), prompt templates (LangChain/LangSmith), and prompt version management. Knowledge in harness engineering, context management in ensuring LLM interactions and or AI agents reliable and deterministic. AI Agent & Multi-Agent Systems Design and build AI Agent systems using ReAct, Plan-and-Execute, Reflection, and multi-agent collaboration patterns. Implement Function Calling and tool-use capabilities, enabling agents to interact with external APIs, databases, and enterprise systems. Develop multi-agent orchestration using LangGraph, AutoGen, CrewAI, and other agent frameworks to solve complex enterprise tasks through agent collaboration. Design MCP (Model Context Protocol) integrations for standardized LLM tool interoperability. Open-Source LLM Deployment & Optimization Deploy and optimize latest version of open-source Chinese LLMs: DeepSeek, Qwen, and Kimi for on-premise and private cloud environments. Implement model inference optimization: quantization (GGUF/llama.cpp, GPTQ, AWQ, AutoAWQ, FP8/INT8), KV Cache optimization, continuous batching (vLLM, TensorRT-LLM, TGI, SGLang), speculative decoding, and tensor parallelism for high-throughput serving. Build and maintain model serving infrastructure using vLLM, TensorRT-LLM, Text Generation Inference (TGI), Ollama, Xinference, and SGLang; configure GPU resource scheduling with Kubernetes + GPU operators. AI gateway tools for routing, model tracking and load balancing such as TrueFoundry, Kubeflow, LiteLLM or Ray for heavy deep learning. Model Fine-Tuning & Customization Implement efficient fine-tuning pipelines using LoRA, QLoRA, DoRA, and full-parameter fine-tuning on proprietary domain-specific datasets. Prepare and curate instruction-following datasets, RLHF/RLAIF datasets, and evaluation benchmarks for domain adaptation. Evaluate fine-tuned models using automated benchmarks and LLM-as-a-Judge methodologies. Evaluation & Production Operations Build and maintain LLM evaluation frameworks: LLM-as-a-Judge, RAGAS, DeepEval, ARES, and custom task-specific metrics for continuous quality monitoring. Implement production monitoring for LLM systems: output quality tracking, latency/throughput metrics, cost monitoring, drift detection, and guardrail compliance. Design A/B testing frameworks for model comparison and prompt iteration. Implement LLM security guardrails: input/output filtering, PII detection, prompt injection defense, content moderation, and safety alignment. Research & Technical Leadership Track frontier AI research and evaluate emerging technologies (new model architectures, training techniques, inference methods) for enterprise adoption. Contribute to internal knowledge sharing: tech talks, documentation, and best-practice guides on LLM development. Required Qualifications Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. Master's or PhD in AI/ML preferred. 2+ years of professional experience in AI/ML engineering with demonstrated production deployment of LLM-based systems at scale. Deep understanding of Transformer architecture, attention mechanisms (MHA, GQA, MQA), and LLM pre-training / fine-tuning / inference paradigms. Expert proficiency in LLM application frameworks: LangChain, LlamaIndex, Haystack, or equivalent production-grade tools. Hands-on experience with RAG system development: vector databases (Milvus, ChromaDB, Qdrant, Weaviate, Pinecone, pgvector), embedding models (BGE, M3E, GTE, OpenAI, Cohere), reranking (bge-reranker, Cohere Rerank, cross-encoders), and advanced retrieval techniques (hybrid search, query expansion, HyDE). Practical experience deploying and tuning open-source Chinese LLMs: DeepSeek, Qwen, Kimi , or international models (Llama 3.x, Mistral, Mixtral, Gemma, Phi). Strong experience with model deployment and serving infrastructure: vLLM, TensorRT-LLM, TGI, Ollama, Xinference, SGLang; GPU resource scheduling (Kubernetes + GPU operators). Proficiency in model quantization and inference optimization: GGUF (llama.cpp), GPTQ, AWQ, AutoAWQ, FP8/INT8; knowledge of KV Cache optimization and memory-efficient attention (FlashAttention, FlashInfer, PageAttention). Solid programming skills in Python; experience with PyTorch, TensorFlow, or JAX; familiarity with FastAPI/Flask for building LLM API services. Experience with LLM evaluation methodologies, A/B testing frameworks, and production monitoring of AI systems. Preferred Qualifications Experience with agent frameworks: LangGraph, AutoGen, CrewAI, OpenAI Assistants API, and multi-agent orchestration patterns. Familiarity with MCP (Model Context Protocol), OpenAI API specification, and multi-modal LLM capabilities (vision, audio). Experience with prompt optimization tools: DSPy, PromptLayer, LangSmith for systematic prompt engineering. Knowledge of model distillation and efficient transfer learning from large teacher models to smaller student models. Contributions to open-source AI projects or publications in NLP/LLM research venues. Experience with cloud GPU providers and cost optimization for LLM inference at scale. Access to high-performance GPU computing resources for model development and experimentation. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Data Security Software Products Referrals increase your chances of interviewing at AvePoint by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Direct message the job poster from Annapurna Dan Jeffery Dan Jeffery Tech Recruitment Partner for DACH Scale-Ups | Series A–C Specialist | Keen Triathlete! Data & AI Engineer Our client is seeking a pragmatic, hands-on Data & AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems. Key Skills & Experience Python software development - Strong, production-level coding skills to build reliable, maintainable AI services. End-to-end software delivery - Experience designing, building, testing, deploying, and operating production-grade systems. AI/LLM application development - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools. AI system lifecycle - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems. AI evaluation and metrics - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact. Working with multiple model providers - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints. Prompt and agent design - Experience treating prompts and agent instructions as versioned, testable software artifacts. Systems integration - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data. Advanced AI techniques - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation. Model adaptation foundations - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training. Business and data understanding - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering Industries Software Development Referrals increase your chances of interviewing at Annapurna by 2x See who you know
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Description About the Role We are seeking a dynamic AI Engineer with 5+ years of experience to join our growing team. You will be responsible for designing, building, and deploying cutting-edge AI solutions that deliver autonomous, user-facing capabilities. This role focuses on creating LLM-powered applications & data enrichments, agentic workflows, and intelligent systems that directly impact our users' experiences. What You'll Do As an AI Engineer on our team, you will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. You'll architect and implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning. You'll be responsible for deploying and operating these LLM applications at scale, ensuring they perform reliably in production environments. This includes containerizing AI services, implementing deployment pipelines for rapid iteration, and establishing monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy. Your role encompasses ensuring our AI systems are production-ready and enterprise-grade. You'll manage the infrastructure that powers our AI applications, optimizing for both performance and cost-effectiveness, establishing automated evaluation frameworks for LLM applications, and building robust fallback mechanisms. You'll ensure our AI systems meet security and compliance requirements while maintaining the ability to rapidly iterate and improve AI capabilities based on user feedback and performance data. What You'll Bring 5+ years of hands-on experience in AI/ML engineering, software development, or related technical roles with demonstrable experience building and deploying AI-powered applications Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree. Strong programming proficiency in Python and familiarity with Java/Kotlin, with a solid understanding of API design, development and integration patterns LLM and Generative AI Expertise Experience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc. Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows Cloud, Deployment & Operations Experience Familiarity with cloud AI/ML services (Azure preferred, also AWS or Google Cloud), container orchestration (Docker, Kubernetes), CI/CD deployment pipelines, automated testing for LLM applications, infrastructure monitoring, logging, and performance tracking Strong problem-solving abilities with experience debugging AI systems, optimizing performance bottlenecks, and implementing scalable solutions Collaborative mindset with excellent communication skills to work effectively with cross-functional teams in an agile environment, including product managers, data scientists, and platform engineers Continuous learning orientation with demonstrated ability to quickly adopt new AI technologies, frameworks, and best practices in this rapidly evolving field Nice to Have Knowledge of vector databases and RAG (e.g., OpenSearch, ElasticSearch) for semantic search and knowledge retrieval What We Offer: Enjoy flexible paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Complimentary Calm App subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our platform empowers our 27,000 customers worldwide by transforming global media, social, and AI signals into actionable intelligence that leaders rely on to make faster, confident decisions. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas, and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. We love working here, and we think you will too. "Inspired by innovation, powered by people." Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Information Services and IT Services and IT Consulting Referrals increase your chances of interviewing at Meltwater by 2x See who you know
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Farsight provided pay range This range is provided by Farsight. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $300,000.00/yr About Farsight Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches. We not only give them that time back to focus on what is important, but we also bring new insights and knowledge to their materials that they wouldn’t be able to uncover without the help of our financial-focused AI. Our Team Our team has had a wide range of experience that uniquely equips us to capture this massive opportunity. Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face and the MIT Media Lab. We've learned the ins and outs of building successful startups from previous work as founders and founding engineers. We focus on hiring the best so that we can become the best, so we hope you apply! We are entirely based in Manhattan, New York City, and are in-person 4 days a week (except Fridays, which are remote). Job Description As an AI Engineer at Farsight AI, you'll play a critical role in advancing our state-of-the-art AI platform. You will: Design, build, and own agentic systems that produce client-ready financial deliverables — decks, models, and memos — end to end, from data ingestion to polished output. Build the evaluation and quality systems behind generated deliverables: deterministic document checks, model-judged review, grounding and fidelity verification, and regression suites for non-deterministic outputs. Turn proprietary data from our platform and customers into evidence-backed insight — building pipelines that discover, quantify, and verify patterns, and feed them back into how our systems draft and check. Build and refine the retrieval systems that ground our deliverables in unstructured and structured financial data, ensuring every number and claim traces to its source. Drive the next generation of agentic capabilities on the Farsight platform — composability, advanced function calling, and modular orchestration. Shape what we build next: ideate directly on customer value, and help prioritize across time-to-market, execution risk, and impact. Desired Qualifications 2+ years of experience deploying machine learning or LLM systems in production. Experience building agentic systems: function calling, tool use, orchestration, and the reliability engineering that keeps multi-step systems on the rails. Experience building and validating evaluations for LLM systems. You know why "ask a model to rate it 1–10" isn't an answer. Experience building retrieval over unstructured and structured data, and working with documents as structured artifacts (mixed text, numeric, and tabular content; document formats and their internals; rendered-output analysis). A real, evolving AI-assisted development workflow, with a verification story proportional to what you delegate. Strong Python proficiency and deep, current fluency with frontier model APIs and their capabilities. Above And Beyond Qualifications Experience evaluating generated documents or other complex, client-facing deliverables — especially combining deterministic checks with model-based judging. Experience extracting reliable, quantified patterns from large, noisy real-world datasets — discovery pipelines where every claimed finding traces back to specific evidence. Deep familiarity with financial data, documents, and workflows. Compensation & Benefits Salary range: $200,000 to $300,000 annually, commensurate with experience. Comprehensive medical, dental and vision insurance Unlimited PTO Note: You'll need valid U.S. work authorization to join us. Please note that a background check and employment verification may be required for this position. We may obtain one or more background screening reports about you, solely for employment purposes. Equal Opportunity Farsight is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law. Compensation Range: $200K - $300K Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Farsight by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Job Description Title: Senior AI/ML Engineer Experience: 5+ Years Location: Pune, India (Work From Office) Salary: Best in Industry Employment Type: Full-Time Work Mode: Work From Office (Pune) Job Summary We are looking for a Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG systems, and production-grade machine learning. The candidate will design, develop, deploy, and optimize AI-powered applications and scalable ML solutions. Key Responsibilities Develop AI/ML and Generative AI applications. Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc. Create RAG pipelines using vector databases. Implement AI agents, prompt engineering, and workflow automation. Design scalable ML pipelines and production AI services. Deploy and monitor models using MLOps best practices. Collaborate with cross-functional teams to deliver AI solutions. Optimize model performance, scalability, and infrastructure costs. Required Skills Python, PyTorch, TensorFlow, Scikit-learn Hugging Face, LangChain, LlamaIndex OpenAI APIs and LLM frameworks RAG, AI Agents, Chatbots, NLP, Deep Learning Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus Cloud Platforms: AWS, Azure, or GCP Docker, Kubernetes, MLflow, Airflow, CI/CD FastAPI or Flask PostgreSQL, MongoDB, Redis Preferred Qualifications Bachelor's/Master's degree in CS, AI, ML, or related field 5+ years in AI/ML Engineering 2+ years in Generative AI/LLM development Experience deploying AI systems at scale Nice to Have CrewAI, AutoGen, LangGraph, Haystack Ollama, vLLM, ONNX, TensorRT Experience with Voice AI, Computer Vision, or Multimodal AI Skills: openair, Python, gen AI, MLflow, FastAPI, rag, nlp, ml Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at AlifCloud IT Consulting Pvt. Ltd. by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . OpenAI provided pay range This range is provided by OpenAI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $295,000.00/yr - $445,000.00/yr About The Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About The Role As a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI’s agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch. This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool use, planning, instruction following, recovery from mistakes, or how models behave in API-based workflows. You should be excited to work across research, engineering, data, evals, and product to make models better at acting in real workflows. You will work closely with researchers, engineers, API/product teams, Codex, infrastructure, and safety/alignment partners to decide which behaviors matter, how to measure them, how to train them, and when they are ready for major model runs. This is a high-agency role for people who want their work to show up directly in frontier models used by expert users and developers. In this role, you might Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning. Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements. Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions. Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks. Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness. Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps. Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs. Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context. Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. You might thrive in this role if you Have strong technical fundamentals in ML, software engineering, systems, statistics, or applied research, and can quickly learn across unfamiliar parts of the stack. Have hands-on experience with LLMs, post-training, RL/RLHF/RLAIF, evals, graders, synthetic data, coding agents, tool-using agents, API products, or production ML systems. Have strong taste for model behavior: you can look at a transcript, trace, eval failure, or API interaction and form concrete hypotheses about what the model needs to learn. Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above. Deeply care about developer and expert-user experience, especially how models behave when embedded in real user workflows, API products, and agent harnesses.. Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $295K - $445K Show more Show less Seniority level Not Applicable Employment type Full-time Job function Sales and Business Development Industries Research Services Referrals increase your chances of interviewing at OpenAI by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our Focus Areas Are LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.) Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.) Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.) We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals. About The Role In this opportunity, as an ML Research Engineer you will: Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively. Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs. Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations. Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning. About You You're a fit for the role if your background includes: Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience) 3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practices Demonstrated expertise in building production-quality code and data pipelines for ML systems Proficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applications Understanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approaches Strong software engineering skills including version control, testing, CI/CD, and code quality practices Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations Self-driven attitude with genuine curiosity about ML research developments Comfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel research Helpful Qualifications Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems) Experience building and maintaining ML training infrastructure and data pipelines at scale Extensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methods Hands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMs Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines Hands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex) Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelines Experience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google Cloud Hands-on experience with MLOps, experiment tracking, and model deployment systems Strong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papers Familiarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanisms Knowledge of modern ML engineering practices (containerization, orchestration, monitoring) You Will Enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to significant cloud computing resources for our researchers and engineers. Competitive compensation & benefits packages What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Thomson Reuters by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . OpenAI provided pay range This range is provided by OpenAI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $295,000.00/yr - $445,000.00/yr About The Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About The Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full training stack and reach the models people use every day. In this role, you might Develop a rigorous understanding of what makes an agent a great collaborator across professional, creative, technical, and everyday work. Turn qualitative judgments about model behavior into concrete hypotheses, evals, graders, and training interventions. Study explicit and implicit user signals to understand which behaviors create trust, satisfaction, continued use, and successful outcomes. Work with human experts and trainers to produce high-quality, tasteful rollouts and preference data that capture excellent collaborative behavior. Improve reward models and RL objectives for model behaviors. Work with pretraining and early-training teams on data mixtures, objectives, synthetic data, and other upstream choices that shape downstream personality. Build sustainable pipelines for updating older training data as our understanding of excellent model behavior evolves. Partner closely with ChatGPT, Codex, and other product teams to turn consumer insight into model improvements and validate them in real workflows. Own projects end to end, from observing a subtle behavioral failure through experimentation, training, evaluation, and launch. You might thrive in this role if you Think instinctively from the user’s perspective and care deeply about how models feel to work with, not only how they perform on benchmarks. Can translate subjective-seeming product questions into falsifiable hypotheses and rigorous evaluations without losing the nuance that made the question important. Care about preserving individuality, adaptability, and behavioral diversity rather than optimizing every model toward one narrow style. Want to shape how frontier agents communicate, collaborate, and build trust with millions of people. Have strong technical foundations in machine learning, software engineering, statistics, behavioral science, HCI, or a related field, and can quickly learn across unfamiliar parts of the stack. Have strong taste for model behavior: you can look at user feedback and can explain why one response feels thoughtful, natural, and useful while another does not. Have experience with LLMs, post-training, RL/RLHF, reward modeling, evals, synthetic data, pretraining data, or production ML systems. Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above. Can work effectively with researchers, engineers, product teams, designers, domain experts, human-data teams and safety boundaries, and can communicate clearly with each group. Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $295K - $445K Show more Show less Seniority level Not Applicable Employment type Full-time Job function Sales and Business Development Industries Research Services Referrals increase your chances of interviewing at OpenAI by 2x See who you know
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About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About The Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning. Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment. Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production. Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. You’ll Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences Collaborate with engineers to implement and scale research findings into production systems Prototype and test research ideas rapidly, balancing rigor with iteration speed Author internal reports and external publications that contribute to the broader ML research community Partner with model providers to shape evaluation questions and support responsible model testing Contribute to the scientific integrity and transparency of the Arena Intelligence leaderboard and tools You’ll have PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow Demonstrated ability to design and analyze experiments with statistical rigor Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation Comfortable working with real-world usage data and designing metrics beyond standard benchmarks Ability to translate research questions into practical systems and collaborate across engineering and product teams Passion for open science, reproducibility, and community-driven research. What we offer We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location. Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs. The opportunity to work on cutting-edge AI with a small, mission-driven team A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI. Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Other Industries Research Services Referrals increase your chances of interviewing at Arena by 2x See who you know
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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You Will Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors. Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies. Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles. Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You Have M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. 5+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning. Demonstrated expertise in deep learning, sequence modeling, and generative models. Strong publication record or history of impactful project delivery in RL or related areas. Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow). Experience with large-scale distributed training and data processing. Proven ability to lead complex and ambiguous technical projects from conception to completion. We Prefer 7+ years of relevant experience in ML/RL research and application. Experience in the autonomous vehicles domain, robotics, or complex simulation environments. Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences). Familiarity with large-scale simulation platforms and their integration with ML training workflows. Experience designing and using metrics for evaluating complex AI systems. Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries. Excellent communication skills, with the ability to articulate complex technical concepts clearly. The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range £120,000—£130,000 GBP Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Waymo by 2x See who you know
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About Cimri Cimri was founded in 2008 to provide online product price comparison services. Since then, the company has been a pioneer within its segment with an ever-growing team and an ever-evolving infrastructure. In 2011, Cimri was acquired by iLab, a venture capital firm founded in 2000. Currently, Kariyer.net, Arabam.com, ChemOrbis, Neredekal.com, SteelOrbis, Emlakjet.com, Endeksa, Hangikredi, Sigortam.net and Cimri are part of iLab. Role Summary We are looking for an enthusiastic Machine Learning Engineer/Data Scientist to join our dynamic team. You will work on developing high-throughput, low-latency ML systems that impact millions of users daily. Our ecosystem is fully distributed and microservice-structured, hosted on AWS. Key Responsibilities Develop and optimize large-scale machine learning solutions. Design and implement ML applications while maintaining high coding standards. Design, develop, and maintain FastAPI-based ML services and REST APIs for production environments. Enhance NLP systems for product matching, deduplication, and entity resolution using BERT, Sentence-Transformers, etc. Improve visual transformer-based image search and deduplication systems with OpenCV, CLIP, and Milvus. Monitor and track model performance using the ELK stack and take necessary actions. Clean, preprocess, and analyze large datasets to extract meaningful insights. Design and conduct experiments to evaluate and optimize ML models. Contribute to R&D projects, technical documentation, and project deliverables including architecture documents, technical reports, and research outputs. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related fields. 3+ Years Experience in Machine Learning/Data Science Experience in building NLP solutions in fields like product matching, classification, search, or recommendation. Proficiency in Python and NLP libraries such as NLTK, SpaCy, Hugging Face Transformers. Familiarity with data science libraries (Scikit-Learn, Numpy, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Experience in MLOps, including Feature Store, Model Serving design, and operations. Experience in backend service development and REST API design using Python frameworks such as FastAPI. Strong foundation in computer science and statistics. Preferred Qualifications Experience with Docker and Kubernetes. Familiarity with CI/CD tools like Jenkins or Octopus. Experience with ML experiment tracking and model management platforms such as MLFlow. Experience building and operating ML systems on AWS or other cloud platforms. Experience with Triton Inference Server and Go is a plus. Cultural Fit A proactive "can do" attitude with a solution-oriented mindset. Passion for coding and enjoying the process of creating innovative solutions. Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the https://www.cimri.com/kisisel-verilerin-korunmasi-hakkinda-bilgilendirme. Show more Show less Seniority level Associate Employment type Full-time Job function Engineering Industries Software Development and Technology, Information and Media Referrals increase your chances of interviewing at Cimri by 2x See who you know
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About Canals Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI. Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows. We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers. The Role Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact. What You’ll Do Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers. Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production. Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value. Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance. Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows. Help shape the future of Canals as we continue scaling with our customers. What You'll Bring Senior-level experience building and deploying machine learning models in production environments. Experience designing scalable data pipelines and working with large datasets. Comfort taking ownership of projects and ensuring models deliver real, measurable customer value. Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark). Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback. Experience working independently in a fast-paced, product-focused environment. Previous experience in high-growth startups or small teams is a plus. Familiarity with MLOps practices and tools is a plus. Why Join Canals We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses. We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company. We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers. You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way. We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen. We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences. Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Canals by 2x See who you know
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About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. What you'll do: Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving) following team architecture, standards, and best practices. Develop and maintain components of the ML model development workflow (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams. Build and operate observability for models in training and production—monitoring, logging, and alerting for performance, quality, and drift—in collaboration with platform and SRE partners. Support optimized model deployments (scaling, resource allocation, inference tuning) to meet cost, quality, and SLA targets. Troubleshoot pipeline and serving issues, document solutions, and share learnings with the team. What you'll need: Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field. Practical experience with ML platform components (e.g., feature pipelines, model registries, training and inference workflows). Solid software engineering fundamentals: clean code, testing, CI/CD, and maintainable system design. Python, PySpark, and SQL. Exposure to Java is a plus. Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud, and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, ONNX, and serving tools (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.). Comfort collaborating across teams, communicating technical tradeoffs clearly, and learning from senior engineers on architecture and platform decisions. What We Offer: Performance based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance Rules applied Equal Opportunity & Affirmative Action: ABI Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, ABI Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.bees.com and www.abinbev.com Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BEES by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Trusting Social is an AI Fintech pioneer that’s revolutionizing credit access in emerging markets. Our mission is “Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy.” We’ve assessed over 1 billion consumers across four countries, and we’re on a mission to provide 100 million credit lines using the power of AI and Big Data. How You’ll Make an Impact The Credit Insight team sits at the intersection of finance and frontier AI — building the models and systems that determine credit access for millions of consumers across emerging markets. As a Machine Learning Engineer, you will own the full ML engineering lifecycle: from designing scalable training pipelines and feature systems to deploying production-grade models that directly impact credit scoring, fraud detection, and profit optimization. You work alongside world-class data scientists and engineers, turning research into real-world impact at scale. This role is for someone who does not wait to be handed a problem — you bring a point of view, run experiments before being asked, and build from evidence rather than assumption. You challenge conventional modeling approaches when the data tells you to, and you synthesize signals across credit, behavior, and product domains to surface insights others miss. You are intentional in how you communicate findings — aware that a model recommendation can shape millions of financial decisions — and you continuously raise the bar for what good looks like on the team. What You’ll Do ML Model Development & Ownership Own end-to-end design, development, and deployment of ML models for credit scoring, fraud detection, profit optimization, and AGI-powered features. Drive iterative model improvement by building structured feedback loops from production signals and user behavior data. AGI Agent Development Build and customize AGI agents aligned to specific credit and business objectives, taking full accountability for their performance outcomes. Design and own comprehensive evaluation frameworks to assess agent quality, effectiveness, and real-world impact — catching drift early and maintaining above-threshold performance. Model Monitoring & Continuous Improvement Monitor deployed models and agent systems in production — tracking performance metrics, detecting data drift, and triggering retraining cycles before quality degrades. Build tooling and dashboards that surface model health and evaluation signals, translating technical metrics into actionable business findings. Cross-functional Collaboration Partner with product, engineering, and business stakeholders to translate ambiguous business challenges into well-scoped ML problems. Communicate model logic and results clearly to both technical and non-technical audiences — making the complex accessible without losing rigor. What We’re Looking For Experience & Background Minimum 2 years of experience in a machine learning engineering, software engineering, or applied ML role within IT, Computer Science, Banking, or Finance. Hands-on experience building and deploying ML systems end-to-end: training pipelines, model serving, feature stores, and monitoring infrastructure. Strong software engineering fundamentals: clean code, system design, version control, and CI/CD for ML workflows. Familiarity with unsecured personal loans, credit cards, or other bank-related financial products is a strong plus. Experience with big data processing frameworks (Spark, Hive, etc.) is a plus. Startup or fast-paced tech environment background is a strong plus. How You Work Insights & AI Readiness — You actively use AI tools to accelerate your work: crafting precise prompts, critically evaluating model outputs, and applying AI to extract meaningful insights from complex datasets. Bias for Action — You don’t wait to be assigned a problem. You identify gaps, run experiments proactively, and ship results — moving from hypothesis to production signal faster than the team expects. Cross-domain Competence — You connect the dots across ML systems, credit domain knowledge, and product context. You coordinate effectively across functions and bring diverse technical skills to bear in an AI-integrated environment. Growth Mindset & Self-Improvement — You treat every model failure and every production incident as a learning input. You actively seek out new techniques, follow the research frontier, and raise the bar for yourself and those around you. Skills & Competencies Business Owner — You make calls without waiting for central approval. You own your models in production, not just at launch — tracking them, fixing them, and accountable for their outcomes. AI Engineer/Architect — You ship end-to-end ML systems with the full stack: training pipelines, serving infrastructure, feature stores, and agent integrations. You don’t hand off to someone else to productionize. AI Operator — You keep deployed models and agent systems above quality threshold at target cost. You catch drift early, build monitoring that surfaces real signals, and act before degradation becomes a business problem. Strong English communication skills (spoken and written — professional fluency required). High adaptability and comfort operating in fast-paced, ambiguous environments. What We Offer Join our vibrant team and enjoy: Opportunity to work and learn from one of the best and brightest technology teams in Vietnam Be part of a winning team with exponential growth regionally, experience recruiting world-class talents Competitive compensation package, including 13th-month salary and performance bonuses Comprehensive health care coverage for you and your dependents Generous leave policies, including annual leave, sick leave, and flexible work hours Convenient central district 1 office location, next to a future metro station Onsite lunch with multiple options, including vegetarian Grab for work allowance and fully equipped workstations Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday Unlimited free coffee, tea, snacks, and fruit to keep you energized An opportunity to make a social impact by helping to democratize credit access in emerging markets At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what’s right, what’s best, and what’s innovative. If you’re smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact. Learn more about us: https://trustingsocial.com | https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s To Apply: Please submit your resume, along with a cover letter detailing your interest in the role and how your experience aligns with the requirements and values of Trusting Social. We look forward to reviewing your application and exploring the possibility of you joining our exceptional team. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Trusting Social Career Page by 2x See who you know
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SourcingXPress provided pay range This range is provided by SourcingXPress. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range ₹1,000,000.00/yr - ₹5,000,000.00/yr Company: Hashone Careers Website: Visit Website Business Type: Startup Company Type: Product Business Model: B2B Funding Stage: Pre-seed Industry: Hospitality Salary Range: ₹ 10-50 Lacs PA Job Description This is a permanent role with one of the product firm in Hospitality domain - A valued client of Hashone. About The Role We’re looking for a Machine Learning Engineer to join the Data Science & Machine Learning team at LodgIQ. You'll be responsible for building systems and frameworks that power our machine learning applications, working closely with team members to deploy and scale their solutions. What You’ll Do Design and implement automated training and inference pipelines including building a model registry system to track model artifacts, versioning, and lineage Develop frameworks for on-demand model training and architect parallel processing systems for inference and event-driven architectures with multi-optimization support Design and develop sophisticated APIs that expose ML model capabilities Build ETL pipelines specifically tailored for ML applications and develop preprocessing frameworks Implement comprehensive monitoring solutions to identify system bottlenecks, optimize for enhanced scalability Create infrastructure for offline and online experimentation Build internal frameworks and tools that standardize ML workflows across the organization Stay current with developments in machine learning engineering and MLOps, evaluating and recommending new technologies and best practices Contribute to technical decision-making and architecture discussions to shape the future of our ML infrastructure Required Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience) 3+ years of experience in software engineering with a focus on ML systems Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience building and maintaining production ML pipelines Proficiency with containerization technologies (Docker, Kubernetes) Experience with cloud platforms (AWS, GCP, or Azure) and their ML services Understanding of software engineering best practices including version control, CI/CD, and testing Experience with data processing frameworks Strong problem-solving skills and ability to work independently on complex technical challenges Excellent communication skills to collaborate with cross-functional teams Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at SourcingXPress by 2x See who you know
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Xantura Limited provided pay range This range is provided by Xantura Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range £50,000.00/yr - £70,000.00/yr Department: Platform Delivery Location: London Compensation: £50,000 - £70,000 / year Description In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains. Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely. Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language & predictive analytics. Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field – or equivalent practical experience. 3+ years of professional experience as an ML Engineer, or related role. Strong programming skills and production experience in Python. Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.). Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such as XGBoost or LightGBM. Clear evidence of practical experience defining and deploying containerised systems, i.e.: Implementing APIs for internal services, e.g. via FastAPI; Deploying containerised systems to production, in particular via Kubernetes. In addition, the following would be an advantage: PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling. Practical experience productionising LLMs, i.e.: Working with vector databases and developing retrieval-augmented generation (RAG) pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). Evidence of participating in Open-Source Software (OSS) development, public hackathons, or other sharable coding samples. Deep expertise in embedding-based architectures, including bi-encoders, cross-encoders, etc. for long-horizon text or temporal prediction tasks. Practical experience building and serving production-ready, asynchronous APIs for embedding and/or other compute-intensive services. Proficiency in Python for building high-performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD). Good familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Batch, Azure AI Foundry, Azure Machine Learning, Azure Blob Storage, Azure Key Vault) . This is a Hybrid opportunity with the expectations of being in the office 1 - 2 days a week. Job Benefits Competitive salary reviewed annually Work for a passionate, mission-driven company solving society’s big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Xantura Limited by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Your New Role and Team Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward. As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects. Success Criteria Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems. Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges. Implement scalable and efficient software solutions to integrate machine learning models into production systems. Optimize and fine-tune machine learning algorithms for improved performance and accuracy. Conduct thorough testing and validation of machine learning models to ensure robustness and reliability. Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team. Provide technical guidance and mentorship to junior team members. Qualifications Your Experience Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing. 4+ years of software engineering experience, with a focus on developing and deploying production-grade applications. Hands-on experience deploying ML models to production. Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn). Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP). Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus. Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role. Familiarity with robotics principles and technologies is highly desirable. Skills Strong programming proficiency in Python and C++. Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems. Ability to optimize and fine-tune ML algorithms for performance and accuracy. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Leadership and mentorship ability, supporting the growth of junior team members. Traits Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems. Takes ownership and accountability, fostering the same in teammates. Empathetic listener with conflict resolution capabilities. Consistent bias for action, communication, and interpersonal savvy. Self-motivated and able to solve problems independently. Mission driven and passionate about bringing human-like intelligence to machines. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Sanctuary AI by 2x See who you know
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Direct message the job poster from Xiaomi Technology 张娜 张娜 小米-招聘经理 职位描述： Job Description： 1.Optimize the recommendation quality and user profile in Mi.com website, provide users the best shopping experience； 2.Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the recommendation result metrics； 3.Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products. 职位要求： Job Requirements： 1. At least 5 years of hands-on experience in recommender systems, with solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start); 1.Bachelor degree or above in the field of computer science or a related technical discipline； 2.Proficient coding skills and strong algorithm & data structure basis in Java/Scala； 3.Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning； 4.Effective communication and teamwork skills, proficiency in mandarin is a plus, as the role involves collaboration with teams based in China. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Xiaomi Technology by 2x See who you know
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Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Architecting and developing the next generation of Tower’s machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility Building infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments Partnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting Leading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments Enhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads Supporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards Contributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity Qualifications 2+ years of experience designing and building large-scale distributed systems, ideally in support of research or data-intensive workloads Strong programming experience in Python, with a focus on writing clean, maintainable, and high-performance code Experience developing and operating applications on Linux-based HPC clusters and/or cloud platforms Solid understanding of distributed computing concepts, parallel processing, and resource management Experience with GPU-based workloads and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) Experience optimizing data pipelines and handling large-scale structured and unstructured datasets Strong troubleshooting skills with the ability to debug complex, cross-layer system issues Ability to work independently in a fast-paced, research-driven environment Strong communication skills and experience collaborating directly with researchers or data scientists Preferred Attributes Experience building internal ML platforms or research tooling at scale Familiarity with experiment tracking systems, workflow orchestration frameworks, and model lifecycle management Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) Exposure to quantitative finance, simulation systems, or other latency- and performance-sensitive domains Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Financial Services Referrals increase your chances of interviewing at Tower Research Capital by 2x See who you know
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Direct message the job poster from Univers kelvin Chia kelvin Chia Talent Acquisition (Physical AI, AIHVAC, AI for Energy) Univers Global Impact AI Lab Are you looking to build intelligent systems that move beyond digital experiments and into the physical world? The Global Impact AI Lab at Univers was established to accelerate the next generation of enterprise AI and intelligent IoT innovation — transforming how industries operate, optimize resources, and build resilient infrastructure at scale. Our mission is to translate advanced AI research into production-grade systems that enhance energy efficiency, operational performance, and sustainability across critical sectors. We focus on applied intelligence — where models and agentic systems connect directly with real-world data streams, operate in live environments, and continuously improve through operational feedback. AI is moving from promise to accountability. Enterprises expect systems that deliver measurable outcomes in complex, high-stakes physical environments. The Global Impact AI Lab is building the intelligence layer that turns multimodal physical signals into enterprise-critical intelligence and action. If you are motivated by engineering scalable AI systems and enabling advanced models to operate reliably in real-world environments, this is an opportunity to translate innovation into measurable impact. For more information, please visit https://univers.com/ Role Overview As an AI Engineer at the Global Impact AI Lab, you will design and develop scalable AI systems that bridge advanced AI research and real-world deployment across enterprise and industrial verticals. This role sits at the intersection of applied AI research, system architecture, and production integration. You will work closely with Applied AI and AIoT Scientists to transition validated prototypes into robust, scalable systems, collaborating with product and engineering teams to ensure smooth integration into production environments. Operating in both 0→1 and scaling environments, you will build and refine model training and inference pipelines, develop agentic frameworks that coordinate reasoning and workflow execution, and architect AI systems that meet real-world requirements for latency, throughput, scalability, and runtime efficiency. You will play a critical role in defining how AI systems are engineered so they can move from lab validation to production adoption — ensuring performance, reliability, and maintainability across cloud, hybrid, and edge deployments. This role requires strong systems thinking, engineering discipline, and the ability to translate advanced AI capabilities into deployable, high-performance systems. Key Responsibilities Partner with Applied AI and AIoT Scientists to transition prototypes into scalable, production-aligned architectures Design and implement end-to-end training, evaluation, and inference pipelines Develop and refine agentic frameworks that orchestrate model reasoning, tool integration, and workflow execution Optimize foundation model inference performance using techniques such as KV caching, batching strategies, quantization, and optimized runtimes (e.g., vLLM or similar frameworks) • Define and architect systems that meet real-world constraints, including latency, throughput, scalability, and runtime efficiency Establish best practices for AI infrastructure, including containerization (Docker), orchestration (Kubernetes), and model lifecycle management Collaborate with product and engineering teams to integrate validated AI capabilities into scalable platform components Engage with technical stakeholders to ensure system performance and deployment readiness Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field (or equivalent industry experience) Strong proficiency in Python and experience with PyTorch for model development and experimentation Experience building and optimizing training and inference pipelines for machine learning systems Familiarity with MLOps and model lifecycle management practices Experience working with containerization and orchestration technologies such as Docker and Kubernetes Experience optimizing foundation model inference performance and understanding runtime efficiency trade-offs Strong understanding of system-level considerations, including latency, throughput, scalability, and reliability Ability to collaborate effectively across research, product, and engineering teams Excellent communication skills Success in this role will be defined by your ability to transform advanced AI prototypes into scalable, high-performance systems — enabling seamless transition from innovation to production while strengthening the Global Impact AI Lab’s engineering foundation Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Engineering Industries Software Development and HVAC and Refrigeration Equipment Manufacturing Referrals increase your chances of interviewing at Univers by 2x See who you know
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About the Role This role sits at the intersection of machine learning, big data engineering, and data science. You will work with large-scale datasets to develop predictive models, recommendation solutions, and intelligent systems that support product performance, user engagement, and business decision-making. You will be involved throughout the ML lifecycle—from data exploration and feature engineering to model development, evaluation, deployment, and continuous optimisation. Key Responsibilities Develop, productionise and maintain machine learning models for recommendation, personalisation, user behaviour, prediction, classification and other data-driven applications. Build scalable ML pipelines covering data preparation, feature engineering, model training, evaluation, deployment and monitoring. Design and optimise batch and/or real-time model inference solutions for reliability, scalability, latency and production performance. Work with large volumes of structured and unstructured data to develop effective machine learning solutions. Collaborate closely with Data Scientists and Data Engineers to transform ML prototypes and data pipelines into reliable production systems. Monitor model and system performance, identify degradation or operational issues, and continuously improve deployed solutions. Contribute to ML engineering practices, including testing, versioning, CI/CD, reproducibility and model lifecycle management. Evaluate new developments in machine learning, MLOps and AI and apply relevant technologies to business and product use cases. Requirements Bachelor's degree or above in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. 3+ years of relevant experience in building recommendation systems, ranking models, personalisation, or user behaviour modelling. Strong programming skills in Python and good software engineering fundamentals. Strong understanding of machine learning algorithms, statistics, model evaluation, and feature engineering. Experience working with large-scale datasets using Spark, PySpark, Flink or other distributed processing technologies. Hands-on experience building or deploying ML models in production environments. Strong analytical and problem-solving skills, with the ability to translate business problems into data and machine learning solutions. Nice to Hav e Experience in gaming, e-commerce, fintech, advertising, or other data-intensive industries. Familiarity with cloud platforms such as AWS, Azure, or GCP is an advantage. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Consulting and Engineering Industries IT Services and IT Consulting and Data Infrastructure and Analytics Referrals increase your chances of interviewing at INFOWIZ PTE LTD by 2x See who you know
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Sundus provided pay range This range is provided by Sundus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $9,800.00/hr - $15,000.00/hr Job Title : AI Engineer (ML, LLM, RAG & Agentic AI) Job Code : JPC 6310 Experience: 2+ years of experience in AI/ML development. Education: Bachelor s degree in Computer Science, AI, Data Science, or related field. Language Skills : English Role Purpose The AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments. Required Skills & Qualifications Bachelor s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Strong programming skills in Python. Hands-on Experience With Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow) Basic NLP concepts Understanding of ML model lifecycle (training, evaluation, deployment). Familiarity with REST APIs and integration concepts. Experience with Git/version control. Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Human Resources Services Referrals increase your chances of interviewing at Sundus by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Kogan.com is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work. As a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions. What you'll do: Machine Learning Development: Design, build and deploy machine learning models that solve practical business problems, including recommendation systems, demand forecasting, customer segmentation, churn prediction, pricing optimisation and fraud detection Production ML Systems: Build reliable and scalable machine learning services that deliver predictions in both real time and batch environments, ensuring strong performance, reliability and cost efficiency MLOps & Automation: Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining Feature Engineering: Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation LLM & Generative AI Applications: Design, evaluate and deploy AI powered solutions using large language models (LLMs), retrieval systems, agents and emerging AI technologies to enhance customer experiences and internal productivity Model Monitoring & Optimisation: Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production Cross Functional Collaboration: Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value Software Engineering Excellence: Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability AI Collaboration: Contribute to experiments with AI and emerging technologies, helping shape how Kogan.com leverages machine learning and automation across the business What you'll need: Strong Python Skills: Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries Machine Learning Expertise: Hands on experience developing, evaluating and deploying machine learning models in production environments MLOps Experience: Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools Data Engineering Foundations: Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems Cloud Experience: Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run Software Engineering Best Practices: Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability AI & LLM Experience: Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects Problem Solving Mindset: A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact Bonus Points Recommendation & Forecasting Systems: Experience building recommendation systems, search ranking models or forecasting solutions ML Platforms & Tooling: Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow Streaming & Event Driven Systems: Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub LLM Application Deployment: Experience deploying AI applications powered by LLMs and agent frameworks Why Kogan.com? Our culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future Your role has a lot of ownership, autonomy and little red tape. You'll be empowered to achieve positive outcomes and your work will have a real impact You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ Learning budget of $1000 A range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more! To find out more about how we work, our tech stack, processes and company culture, visit https://careers.kogan.com and https://devblog.kogan.com Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Retail Referrals increase your chances of interviewing at Kogan.com by 2x See who you know
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Direct message the job poster from ASUS Sandy Woon Sandy Woon Senior Executive Human Resources at ASUS AICS (https://aics.asus.com/) is a newly formed organization incubating applied AI services that can leverage ASUS' large portfolio of hardware products to unlock a new generation of smart products and services. The team is building and deploying deep technologies in Data Analytics, Speech Recognition, Natural Language Understanding, and Computer Vision to help accelerate the transformation towards an AI-powered future. We are currently hiring for multiple positions across Software Engineering, AI/ML, and Data Science. Our engineers are deploying new models and applications that are deployed from the edge to the cloud. We are excited to hear from you! Machine Learning Engineer Responsibilities: Design and implement appropriate ML algorithms and tools, select appropriate datasets, benchmark models, and perform statistical analysis and fine-tuning. Keep models up to date by incorporating continuous learning into the system. Work with the AI Research team to transform prototypes into production models using best practices for model development, management, and maintenance. Work closely with an entrepreneurial team of experienced product managers and software engineers to successfully ship software products and continue to grow our business. Research new ideas in machine learning and identify product opportunities for applying them. Qualifications: Bachelor’s degree in computer science or related field with at least 3 years of relevant experience. Proven experience in designing, training and deploying machine learning models in a production environment. Experience with LLM SFT/DPO is preferred. Programing experience with Python/C++ or equivalent. Development experience with ML frameworks and libraries. Strong background in NLP or CV, preferably in the medical / healthcare domain Ability to work independently and ramp up to new areas quickly. Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Computer Hardware Manufacturing and IT Services and IT Consulting Referrals increase your chances of interviewing at ASUS by 2x See who you know
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Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . We love the magic of memory keeping At Journi, we’re on a mission to build the world’s most-downloaded printing app. With over 10 million users worldwide, we help people turn their favorite moments into beautifully designed Photo Books and Prints. Our smart AI makes the process fast, simple, and joyful, so our users can spend less time editing and more time reliving their best stories. We’re looking for an enthusiastic Machine Learning Ops Engineer to play a key role across the entire ML lifecycle - from data collection and preprocessing to infrastructure management and full-stack deployment. You’ll join an innovative team building new product concepts, exploring new business opportunities, and turning ML ideas into impactful solutions. 🚀 What You'll Do Enhance the user experience with AI-powered features in the number 1 printing app in the world, enabling customers to create personalized print products with minimal effort Design and implement data pipelines to collect, clean, and preprocess structured and unstructured data Build and maintain cloud-based ML infrastructure, and improve and tune existing model prototypes Optimize machine learning models for mobile hardware constraints and convert them to appropriate formats (ONNX, CoreML, etc.) based on deployment targets Deploy models as APIs, services, or embedded modules into the backend, collaborating with backend and frontend developers to ensure seamless integration Implement monitoring and feedback loops for deployed models 🎒 Your bag of tricks 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist / another role with similar responsibilities Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field Strong Python programming skills and ability to investigate & debug issues with models running on backend (JVM) or mobile platforms (Swift/Kotlin) Knowledge of model compression and quantization techniques Experience deploying ML models on mobile platforms and/or web Proficient in containerization with Docker Experience with cloud platforms and cloud compute resources management (especially AWS EC2 or GCP Compute Engine) Strong problem-solving skills and the ability to work cross-functionally 🔥 Nice-to-haves Familiarity with genetic algorithms and methods of their optimization Experience with training the models for the classical computer vision problems, like image classification, object detection, image denoising, and/or saliency detection Familiarity with reinforcement learning algorithms ✨ What We Offer A happy team makes for a happy workplace. We wouldn’t be able to do what we do without our team, and that’s why we offer: A fair annual gross salary starting at € 65,000. Our final offer depends on your experience and qualifications. Plus, a Bunch Of Awesome Social Benefits, Such As Vacation goals: 25 days off per year, plus 1 extra day for every year you stick around (up to 5 extra days!) Work your way: enjoy a hybrid working model with 40% home office days and flexible hours (core hours: 10am-4pm Mo-Th; and 10am-2pm Fri) Daily fuel: breakfast, Italian-style coffee, tea, and fresh daily lunches in our in-house eatery, with options for most dietary preferences Go places: we reimburse your public transport card for Vienna Team first: join our yearly team-building Journi to exciting destinations Mac your life easier: with a company MacBook, also available for personal use Boost your German: weekly in-house lessons in small groups Special treatment: enjoy a premium membership on all Journi products and more! 📫 What To Expect After You Apply Intro Call with the People & Culture Team (30 min) Technical challenge - algorithm development (2 h) Technical interview with the ML team (1.5 h) Final Interview with the Leadership Team (1 h) We’d love to hear from you - please include your CV and cover letter with your application! About Us Everyone is welcome at Journi No matter your background, identity, or story, if you’re exceptional at what you do, there’s a place for you here. We believe that an inclusive team is a stronger team, and we want everyone to feel respected and understood from the moment they join us. Turning digital memories into something you can hold Our goal is simple: to make it effortless for you to preserve the memories you cherish. By combining smart technology with a love for design, we turn "photo chaos" into high-quality keepsakes in seconds. You capture the moments; we help you keep them forever. A global team with heart More than 10 million people around the world already use Journi to create their Photo Books, and we’re just getting started. We’re a global team of 100+ people united in Vienna, thinking big and building with care. We work hard, but we never take ourselves too seriously. We keep things informal, friendly, and always on our users' side. If you’re excited to solve meaningful challenges and shape a product loved by millions, we’d love to hear from you. 🌟 Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Journi by 2x See who you know
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Deep learning Generative AI Language Processing MLOps Machine Learning
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Cloud deployment Deep learning Edge Deployment Fine Tuning Generative AI
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Who We Are Claritas Rx uses AI and predictive modeling to help rare disease and specialty brands remove the barriers that keep patients from accessing and staying on the treatments they need. By uniting the most complete view of the patient journey with purpose-built technologies, we predict and resolve access challenges before they disrupt care, combining advanced analytics, real-world data, AI, and CRM capabilities to increase start and refill rates, reduce abandonment, and improve brand performance. Our mission is to ensure patients with chronic, life-threatening diseases receive the support that enables the greatest benefit from their therapy. Simply put, our promise is progress for every patient journey. This is the opportunity to help shape a first-in-industry digital health solution alongside a team of mission-driven professionals. We were named one of Inc.'s Best Workplaces in 2025 and recognized on the Inc. 5000 list for two consecutive years (2025 and 2026), and our team genuinely respects and supports each other. We thrive on being fast-paced, innovative, and results-driven, and our employees enjoy a flexible, collaborative work environment, unlimited PTO, stock options, and a growing set of tools and technology to drive innovation for our customers. The Position We are seeking a skilled and hands-on DevSecOps professional to join our Engineering team. Reporting to the Sr. Manager, Site Reliability, you will be a key individual contributor responsible for protecting the confidentiality, integrity, and availability of Claritas Rx 's AWS-hosted SaaS platform — a system that processes sensitive patient and commercial data for some of the world's leading biopharmaceutical companies. In this role, you will own day-to-day security engineering work: hardening infrastructure, managing vulnerability programs, responding to security events, and embedding security practices into the software development lifecycle. You will work closely with Software Engineering, SRE, and external compliance partners to ensure our platform maintains the rigorous compliance posture our customers and regulators require — including HIPAA, SOC 2 Type II, and HITRUST. This is a high-impact individual contributor role suited to an engineer who thrives at the intersection of security and cloud infrastructure, takes ownership of outcomes, and brings a builder's mindset to security problems. The role is primarily remote with occasional travel requirements. Key Accountabilities Security Monitoring & Incident Response
Own security monitoring across the platform: tune and triage alerts from AWS GuardDuty, Security Hub, CloudTrail, and related tooling to distinguish signal from noise and surface actionable threats.
Serve as a primary responder for security incidents — investigate, contain, and remediate threats; document findings; and drive post-incident reviews with clear corrective actions.
Maintain and continuously improve detection capabilities, including log analysis pipelines, alert rules, and correlation logic, to reduce mean time to detect (MTTD) and mean time to respond (MTTR).
Participate in on-call rotation for security events, with appropriate escalation paths and runbooks in place.
Cloud Security Engineering
Design, implement, and maintain security controls across the AWS environment — including IAM policies, SCPs, KMS key management, VPC security, WAF rulesets, and network segmentation.
Conduct regular reviews of cloud configurations using AWS Config, Inspector, Macie, and third-party tooling; remediate findings and track resolution to closure.
Partner with the SRE team to ensure infrastructure-as-code (AWS CDK) templates follow security best practices and that security controls are version-controlled, auditable, and reproducible.
Evaluate new AWS services and architectural changes for security implications, providing clear guidance to engineering teams before and during adoption.
Implement security focused observability patterns to detect threats as they emerge.
Vulnerability Management
Support the vulnerability management lifecycle: asset discovery, scanning (infrastructure and application), risk-based prioritization, remediation tracking, and reporting.
Coordinate with Software Engineering to integrate SAST, DAST, dependency scanning, and container image scanning into CI/CD pipelines (GitHub Actions), ensuring vulnerabilities are caught early in the SDLC.
Track and communicate vulnerability metrics to engineering and leadership, balancing remediation urgency against engineering capacity.
Research emerging threats, CVEs, and attacker techniques relevant to our technology stack and cloud environment; translate findings into actionable defensive improvements.
Compliance & Data Protection
Support the maintenance and continuous improvement of Claritas Rx 's HIPAA, SOC 2 Type II, and HITRUST compliance programs — including evidence collection, control testing, and gap remediation.
Ensure PHI handling practices — at rest, in transit, and in processing — meet regulatory requirements; identify and close gaps in data classification, encryption, access control, and audit logging.
Maintain and test data protection controls including encryption key management, secrets rotation (via AWS Secrets Manager), and DLP measures.
Support external audits and assessments: prepare evidence packages, respond to auditor inquiries, and track audit findings through remediation.
Contribute to the development and maintenance of security policies, standards, and procedures.
Identity & Access Management
Administer and continuously refine AWS IAM roles, policies, and permission boundaries, applying least-privilege principles across all environments.
Manage access lifecycle processes: provisioning, periodic access reviews, and de-provisioning for human and machine identities.
Evaluate and improve authentication and authorization controls — including MFA enforcement, SSO integration, and privileged access management.
Cross-Functional Partnership
Collaborate with SRE and Software Engineering to embed security requirements into production readiness reviews, architecture decisions, and deployment processes.
Serve as a trusted security resource for engineering teams — providing practical, risk-informed guidance rather than purely compliance-driven mandates.
Communicate security risks and program status clearly to both technical peers and non-technical stakeholders, including leadership.
Our Stack
Cloud: AWS (ECS, EC2, Aurora RDS, DynamoDB, Lambda, S3, SQS, EventBridge, Cognito, Secrets Manager, CloudFront, WAF)
Infrastructure as Code: AWS CDK (primary); familiarity with Terraform/OpenTofu a plus
CI/CD: GitHub Actions
Application Platform: NestJS/TypeScript (backend), React/TypeScript (frontend), PostgreSQL, Turborepo, pnpm
Data Platform: AWS Glue, Lake Formation, PySpark, Kinesis (data streaming), Python-based ELT pipelines
Observability & Monitoring: CloudWatch (logs, metrics, alarms, dashboards), Sentry, OpenFeature (feature flags), Tableau
Languages in Use Across Engineering: TypeScript, Python, SQL; Golang familiarity a plus
Work Management: Jira
Compliance: HIPAA, SOC 2 Type II, HITRUST
Who You Are Required Skills:
4+ years of experience in information security engineering, cloud security, or a closely related discipline with hands-on technical ownership.
Solid, practical AWS security expertise — you understand IAM, KMS, VPC security, CloudTrail, GuardDuty, Security Hub, Config, and WAF at a working level, not just conceptually.
Experience operating a vulnerability management program: scanning, prioritization, tracking, and reporting across infrastructure and application layers.
Demonstrated ability to respond to and investigate security incidents in a cloud environment — from initial triage through containment, root cause analysis, and corrective action.
Familiarity with integrating security tooling (SAST, DAST, dependency scanning, container scanning) into CI/CD pipelines and developer workflows.
Working knowledge of HIPAA, SOC 2, and/or HITRUST requirements as they apply to technical controls — you understand what compliance requires and how to implement it in an engineering context.
Scripting proficiency in Python, Bash, or equivalent for automating security tasks, log analysis, and tooling integrations.
Strong written and verbal communication skills — you can explain security risk and technical trade-offs clearly to both engineering peers and non-technical stakeholders.
Collaborative, team-oriented mindset with the ability to influence security outcomes without direct authority.
Comfort operating independently in a fast-paced, high-growth startup environment where priorities shift and initiative is expected.
Preferred Skills:
Experience in a healthcare technology or digital health environment with direct exposure to HIPAA-regulated PHI and the controls required to protect it.
Hands-on experience with threat modeling methodologies (e.g., STRIDE, PASTA) applied to cloud-native application architectures.
Familiarity with penetration testing concepts and experience participating in or coordinating third-party security assessments.
Experience with privileged access management (PAM) tooling and secrets management at scale.
Exposure to the Claritas Rx application stack: TypeScript, NestJS, PostgreSQL, React.
Experience leveraging AI tools (including Claude) to accelerate threat hunting, automate security documentation, or streamline compliance evidence workflows.
Relevant certifications such as AWS Security Specialty, CISSP, CISM, CEH, OSCP, CompTIA Security+, or equivalent.
B.S. in Computer Science, Information Security, or a related discipline, or equivalent practical experience.
Join Us We are seeking to add new expertise and perspective to our strong team of experienced professionals. We aspire to a culture of accelerated professional development through: shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools. We are a highly collaborative team and prioritize opportunities to connect in person. For employees within a reasonable driving distance of each other, we host regional town hall gatherings approximately every other month. These sessions give our teams a chance to come together, share updates, and strengthen relationships beyond day-to-day work. In addition to our great environment, we offer a competitive salary of $130,000 to $160,000 and benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution. Please send a cover letter along with your resume when applying to the position of interest. Claritas Rx embraces diversity, equality, and transparency. We are committed to building a team that comprises a variety of backgrounds, perspectives, and talents. We believe the more inclusive we are, the better we are. Join us and discover what it feels like to be part of an environment that rewards ingenuity, risk taking and smart work. It's time to fall in love with what you do! At Claritas Rx , protecting our candidates is a top priority. If you're applying for a role with us, please note: •All legitimate opportunities are posted first on ClaritasRx.com. Check there before trusting external listings. • We believe in meaningful interviews: offers never come after just one phone call or form. Expect multiple video calls to get to know you. • We never ask for fees or payments of any kind during the hiring process. • Our People Operations Team will handle your onboarding, and all equipment comes directly from us—no purchases required. Learn more about how to spot recruitment scams and protect yourself - FBI warning: Claritas Rx is committed to transparency, integrity, and a safe hiring experience for every candidate. Learn more Originally posted on Himalayas
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We're transforming the grocery industry
At Instacart , we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview The Digital Twin Platform team at Instacart is responsible for understanding exactly what is on store shelves at all times. Inventory estimates power some of the most important product experiences at Instacart , from search and advertising to logistics and fulfillment. We own the end-to-end data supply chain — from ingestion and integration of partner data sources to collecting inventory observations, to model development, serving, and integrations across our products. We are looking for a highly motivated Senior Software Engineer to join our team. You will be instrumental in building our next generation platforms for understanding where products are in a store — think: platforms that provide the precision and depth of a smart warehouse but scaled to every local store. In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale while driving new product innovation. This is a chance to roll up your sleeves with a team that goes far together, solves creatively, and grows the pie by making the entire grocery ecosystem more efficient. We move quickly, work through ambiguity, and focus on delivering real impact for our customers, shoppers, retailers, and the broader business. You can read more about some of the things our team is doing here: democratizing AI for grocers of all sizes and advancing real-time shelf intelligence. About the Job
Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across our network.
Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin.
Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long-term architectural quality.
Contribute to a culture of ownership and continuous improvement, where we serve our users generously, put ideas on the table with transparency, and go far together as a team.
About You Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
5+ years of software engineering experience designing, building, and operating large-scale production systems.
Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL.
Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure.
Track record of shipping production software with a focus on reliability, testing, observability, and maintainability.
Preferred Qualifications
Experience with machine learning infrastructure, computer vision, image-based data pipelines, or annotation platforms.
Experience with real-time, streaming, or geospatial services and systems in production.
Experience building data-intensive products in e-commerce, retail, logistics, or grocery.
Experience with edge devices, IoT, or hardware-software integration.
Familiarity with data processing frameworks such as Spark, Kafka, or Airflow.
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$199,000—$210,000 USD
WA
$191,000—$201,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$183,000—$193,000 USD
All other states
$166,000—$175,000 USD
Originally posted on Himalayas
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Company Overview
At Fluency, we come together under two shared passions that drive our culture: the scaling of digital ad operations, and fostering a workplace environment rooted in open communication, inclusivity, and a growth-oriented mindset. These passions not only set us apart in the industry, but also fuel our collective drive to reshape the industry and reinvent ourselves along the way. We're not just revolutionizing the digital advertising horizon, we're shaping an organization where every member feels a sense of pride and is inspired to do their best work.
Team Overview We’re a passionate, detail-obsessed team building the next generation of AI-native enterprise software. We turn complex ad-tech into intuitive, conversational experiences. We need a design leader to guide our small team through this transformation. Job Summary The Manager, Product Design leads a team of designers while staying hands-on. You will steer our design direction as we evolve from form-driven interfaces to conversational, AI-powered experiences. This role blends people management—mentoring, coaching, and balancing workloads—with high-impact individual contribution. You will partner with product and engineering to simplify enterprise advertising, while fostering a high-trust, growth-oriented team culture. Your Role Leadership & Management
Mentor and grow a team of product designers.
Align design priorities with the product roadmap and business objectives.
Run design critiques and maintain a high-quality bar.
Provide team clarity and shield them from noise.
Advocate for design’s impact on product strategy.
Design & Craft
Own end-to-end design for key product surfaces.
Design AI-native patterns: conversational UX, progressive disclosure, and intent-driven workflows.
Define how the platform communicates system intelligence, recommendations, and uncertainty.
Evolve our design system to support current and future product surfaces.
Translate complex ad-tech into accessible, intuitive experiences.
Align design decisions with business goals like retention and competitive growth.
Collaboration & Process
Partner with Product and Engineering to shape product development.
Use data-driven insights and user-centered design to guide decisions.
Clearly present design rationale and trade-offs to leadership.
Collaborate with Sales, Client Success, and Marketing to ensure a cohesive customer journey.
Conduct design reviews and QA to ensure execution matches design intent.
What We Look For Required Experience
5+ years in product design, with 2+ years managing or leading designers
Enterprise SaaS product design experience
Track record of shipping complex products that users describe as simple
Experience designing for AI-powered, conversational, or agent-driven interfaces
Proficiency in Figma; comfort with prototyping tools and design systems
Self-directed; can identify the highest-leverage design problems and pursue them without waiting for direction
Skills & Mindset
Zooms between strategy and pixel-level craft in the same day.
Thinks in systems — patterns, components, states — not just screens.
Comfortable designing where conventions don't exist yet.
Strong communicator; articulates design decisions to technical and non-technical audiences.
Business-minded; connects design choices to revenue and retention.
Loves feedback, iterates quickly, ships over perfection.
Energized by ambiguity; leads design forward when direction is still forming.
Bonus
Experience in the digital advertising or ad-tech industry
Experience with the transition from traditional UI to AI-first interaction models
Familiarity with LLM capabilities and limitations as they relate to UX
Background in data visualization or complex information architecture
Fluency pays all employees based on U.S. nationwide averages for each role, designed to ensure pay equity. This is a full-time, remote position that requires legal authorization to work in the U.S. Starting pay range is determined by job-related skills, experience, and knowledge. The role is also eligible for a discretionary bonus, equity options, and a comprehensive benefits package including:
• Medical, dental, and vision coverage for employees and their families
• 401(k) plan with company match
• Four weeks of Combined Time Off (CTO), flexible schedule, and twelve holidays • Maternity and parental leave • Employee wellness programs and mental health support • Remote work flexibility and home office stipends
Starting Pay Range
$120,000—$138,000 USD
At Fluency, we’re proud to be an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive workplace where everyone can thrive. We welcome applicants of all backgrounds and identities and do not tolerate discrimination or harassment of any kind.
Employment decisions at Fluency are made based on business needs, job requirements, and individual qualifications—without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, veteran status, or any other status protected by federal, state, or local laws.
Originally posted on Himalayas
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SKM Group Actively Hiring Programming with success in mind Top 1% of responders Responds within a day Early Stage Save Apply Now Senior Full Stack AI Engineer (React / Node) [J213] €54k – €120k • No equity | Remote ( Estonia • Europe +40 ) |5 years of exp |Full Time Reposted: 2 months ago• Recruiter recently active Hires remotely in Estonia - Europe - Israel - Spain - Turkey - Germany - France - Luxembourg - Lithuania - Switzerland - United Kingdom - Romania - Ireland - Poland - Denmark - Sweden - Czech Republic - Belgium - Norway - Netherlands - Italy - Hungary - Serbia - Bulgaria - Greece - Malta - Finland - Portugal - Croatia - Austria - Armenia - Slovenia - Latvia - Slovakia - Georgia - Bosnia and Herzegovina - Macedonia (FYROM) - Moldova - Albania - Azerbaijan - Montenegro - Kosovo Remote Work Policy Remote only Company Location Germany • Poland Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 10:00 AM - 6:00 PM Central European Time Relocation Not Allowed Skills Python ASP.NET PostgreSQL AWS/EC2/ELB/S3/DynamoDB TypeScript AWS Cloud Services Microsoft Azure React.js SQL/MySQL/PostgreSQL Microsoft .NET AWS Amazon ECS JavaScript (ES5/ES6) / TypeScript postgres AWS/EC2/ECS/APIGateway/Lambda TypeScript/Javascript FastAPI Retrieval-Augmented Generation (RAG) About the job We are seeking a Senior Full Stack AI Engineer to design, build, and scale intelligent applications from concept to production. The ideal candidate combines strong full stack development expertise with hands-on experience building AI-powered features and deploying them into real-world environments Key Responsibilities Design and develop end-to-end applications using full stack technologies (React, NodeJS, TypeScript, SQL/NoSQL, Python). Build and deploy AI-powered features (RAG pipelines, vector storage integrations, LLM fine-tuning, multi-agent systems). Apply software engineering best practices: OOP principles, asynchronous programming, lazy loading, and scalable architectures. Work with ML services to enable intelligent application features. Translate AI prototypes and ideas into production-ready applications, ensuring proper QA, deployment, and security. Collaborate with cross-functional teams to scale applications and support continuous delivery of AI-driven features. Required Qualifications 5+ years of professional full stack development experience. Strong proficiency in Python (must-have) and at least one modern full stack framework (React, NodeJS, TypeScript, SQL/NoSQL). Solid software engineering fundamentals: OOP, asynchronous programming, lazy loading, design patterns. Experience delivering production-level applications with CI/CD, testing, and security practices. Track record of scaling applications from concept to production. Nice to Have Hands-on experience with AI/ML services. Experience with vector databases (Pinecone, Weaviate, FAISS, Elastic, etc.). Familiarity with LLM fine-tuning and prompt engineering. Knowledge of multi-agent frameworks (LangGraph, CrewAI, AutoGen). Background in AI ethics, Responsible AI, and secure deployments. What do we offer you? Attractive salary Large freedom and real influence No unhealthy competition, team approach to meeting challenges Remote-first, flexible working culture Company apartments in cool cities across Europe: work and enjoy a memorable getaway About Us We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here. Apply Now About the company SKM Group Actively Hiring Programming with success in mind 51-200 Employees Germany 51-200 Enterprise Software Company Software Development Enterprise Software E-Commerce Manufacturing Automotive Artificial Intelligence Industrial Automation Software Logistics Finance Technology Top 1% of responders Responds within a day Early Stage Learn more about SKM Group Perks Work-from-home-friendly We offer remote or hybrid work models with a flexible balance between office and home Bring your pet to our office We have a spacious office in a great location where you can bring your pet Work with experienced developers, training on us You will work with experienced developers, specialist training paid by us Explore SKM Group's perks and benefits Founders Stefan S Founder Kraków County View the team Similar Jobs epilot the platform to simplify your business Senior/Staff Product Engineer (Full Stack) (m/f/d) €60k – €100k • No equity Apply Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Reedsy A friendly place for authors to learn, create and market the best indie books Senior Frontend Engineer - Remote Europe €60k – €90k • 0.0% – 0.1% Apply Reedsy A friendly place for authors to learn, create and market the best indie books Senior Ruby Engineer - Remote Europe €60k – €100k • 0.0% – 0.1% Apply Reedsy A friendly place for authors to learn, create and market the best indie books Senior Software Engineer (Node/Vue/TypeScript) - Remote Europe €60k – €100k • 0.0% – 0.1% Apply Adia Health Intelligent Clinical Decision Automation — Transforming medical diagnosis through AI Senior Backend Engineer $70k – $90k • 0.001% – 0.01% Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business Lead ML Engineer $90k – $120k Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Ketryx Ketryx is saving and improving lives by making medical software safe and reliable Full Stack Software Engineer €70k – €90k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Chronicle Actively Hiring We are the engine for audience growth using frontier AI Save Apply Now Senior AI Engineer $220k – $300k • 0.1% – 1.0% | Remote ( United States ) • Los Angeles +2 |6 years of exp |Full Time Reposted: 2 weeks ago• Recruiter recently active Job Location Los Angeles • New York City • San Francisco Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time, Atlantic Time Relocation Not Allowed About the job Chronicle is building frontier models for audience simulation on social platforms: understanding and predicting human preferences at scale. Join a fast-growing team to lead research efforts at the intersection of large-scale recommendation systems, behavioral simulation, and generative AI. In this role you'll set research direction, inform data collection and annotation, develop the core modeling architectures, and work with a high-caliber team alongside collaborators from leading academic and industry labs. You'll own the technical vision and research roadmap for large-scale audience forecasting and recommendation modeling, working closely with the research and leadership teams. You'll design and train proprietary models leveraging Chronicle’s internal datasets and infrastructure, and take those models from research prototype to production in a tight partnership with product and engineering. As a senior member of the team you'll recruit, mentor, and set the bar for a growing research team. Who you are You have 6+ years building and shipping ML systems, with deep expertise in recommendation and ranking systems, statistics, predictive or causal modeling, and LLMs. You have a track record of training models at scale and a strong grounding in robust ML pipelines, multimodal data representation, and model validation on real-world tasks. You can lead ambiguous, open-ended research and translate it into working product, and hold an MS or PhD in CS, ML, or a related field, or have equivalent industry experience. You have experience with media platforms including streaming and social, ad infrastructure, marketing science, or conversion optimisation. You might have a history of building and leading research teams. Apply Now About the company Chronicle Actively Hiring We are the engine for audience growth using frontier AI 11-50 Employees Los Angeles 11-50 Social Media Artificial Intelligence Advertising Platforms Brand Marketing Film Distribution Digital Marketing Learn more about Chronicle Founders Oliver Lewis Founder View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Senior Machine Learning Engineer $150k – $265k • 0.1% – 0.25% Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply Unlearn.AI Transforming clinical development by making every trial smarter with AI Applied Machine Learning Scientist $140k – $165k Apply Fambot AI AI Chief of Staff for Families Founding Backend Engineer $100k – $180k • 0.1% – 1.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply GenAI-Labs Building tomorrow's AI, Today Staff API/Microservices Engineer (Agentic AI-Focused) $40k – $120k • 0.0% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms B2B Growth Stage Top Investors +2 Save Apply Now Senior AI Engineer $190k – $255k | Remote ( United States ) • San Francisco |Full Time Posted: 3 months ago Job Location San Francisco Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job About Us Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. About the Role Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Senior AI Engineer, you'll own meaningful product areas end-to-end—designing agentic architectures, building evaluation systems, and shipping agents that professionals trust with mission-critical work. This role is for engineers who have shipped LLM-powered features in production and are ready to take the lead on complex systems while mentoring those around them. What You’ll Own Build and Ship AI Agents Design and build agentic systems that automate complex audit workflows end-to-end Translate customer problems into concrete agent behaviors and orchestration logic Orchestrate LLMs, tools, retrieval, and business logic into reliable, production-grade agent experiences Own agents across their lifecycle: delivery, reliability, performance, and observability Execute with AI-Native Leverage Use AI to accelerate design, build, test, and iteration cycles Prototype quickly, then harden systems for enterprise-grade reliability Build evaluation frameworks, feedback loops, and guardrails to improve agents over time Design prompts, retrieval pipelines, and orchestration logic that perform at scale Drive Product Impact Make clear trade-offs on what to build, cut, or skip based on customer value Partner with Product and Design to define capabilities that deliver real outcomes Stay close to customer workflows and optimize for highest-impact problems Identify capability gaps and unblock team progress proactively Mentor and Multiply the Team Raise the quality bar through code review, design feedback, and pairing Create reusable abstractions, patterns, and tooling that increase team velocity Share learnings across the team and establish engineering best practices Who You Are You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you: Bias to building: You move fast and resolve uncertainty by shipping AI-native instincts: You treat LLMs, agents, and automation as core building blocks Strong product judgment: You decide what matters and why—not just how to implement it Learning velocity: You learn quickly from feedback and adjust based on data Grounded optimism: You improve what's broken today and push toward what's possible next End-to-end ownership: You understand production systems and own outcomes Experience We care more about capability and trajectory than years on a resume, but most strong candidates have: 3–6+ years shipping production software in complex, real-world systems Strong command of TypeScript, Python, and Postgres Shipped LLM-powered features serving real production traffic Built retrieval pipelines and agent orchestration systems Implemented evaluation frameworks for model outputs and agent behavior Worked with vector databases, embedding models, and RAG architectures Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic) and agent frameworks Comfortable operating in ambiguity and taking responsibility for outcomes What Should Excite You Enterprise-grade reliability: Building systems professionals depend on Human-in-the-loop design: Knowing when to automate vs. when to surface decisions Nuanced evaluation: Audits require judgment, so feedback structures matter Explainability: Making AI outputs and reasoning transparent and trustworthy Complex domains: Navigating compliance and enterprise rigor while moving fast Shipping daily value: Delivering agent experiences customers use every day Benefits Competitive compensation with equity Comprehensive health and wellness benefits Flexible time off and work schedules Technology reimbursements 401(k) plan Twice-yearly in-person offsites across the U.S. Wellness benefits starting on your first day Our Values Fearless — Inspire and break down seemingly impossible walls Fast — Launch fast with excellence; iterate to perfection Lovable — Deliver happiness and 11-star experiences Owners — Execute and run the business with ownership Win-win — Create mutual value and earn trust for life Inclusive — Scale the best ideas with inclusive teams Apply Now About the company Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms 51-200 Employees San Francisco 51-200 SaaS Enterprise Software Accounting B2B Growth Stage Top Investors YC Funded Growing fast Employees joined from Thomson Reuters Ernst & Young Meta Kustomer JazzHR Learn more about Fieldguide Founders Jin Chang Founder San Francisco Chris Szymansky Co-Founder / Chief Technology Officer San Francisco View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Trunk DevEx in a box Senior Developer Advocate $120k – $170k • 0.05% – 0.17% Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Layer Accounting software that embeds directly within SMB NeoBanks & SMB SaaS Fullstack Engineer $150k – $170k • 0.5% – 1.0% Apply Sleeper Connecting people over sports Senior Frontend Engineer (Mobile) $180k – $235k Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply Onos Health The first comprehensive AI platform for health plans to improve behavioral & mental health services Lead Software Engineer $200k – $275k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms B2B Growth Stage Top Investors +2 Save Apply Now Staff AI Engineer $240k – $310k | Remote ( United States ) • San Francisco |Full Time Posted: 4 months ago Job Location San Francisco Remote Work Policy Onsite or remote - WFH flexibility Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job About Us Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. About the Role Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Staff AI Engineer, you'll shape the technical direction of our intelligence layer—defining the architecture, standards, and roadmap that enable Fieldguide to build the most reliable AI agents in the enterprise. This role is for experienced engineers who combine deep technical judgment with strong product instincts and organizational influence. You'll operate across the engineering organization to drive impact that compounds over time. What You’ll Own Define and Drive Technical Direction Set the architectural direction for Fieldguide's agentic systems and intelligence layer Identify and resolve systemic gaps that limit reliability, scalability, or product velocity Make high-leverage technical bets and drive them to completion across the organization Establish evaluation standards, observability infrastructure, and reliability frameworks at scale Build and Ship High-Impact Systems Own the most complex, cross-cutting product areas end-to-end Design agent orchestration and retrieval systems that handle enterprise-grade complexity Lead the evolution of Fieldguide's LLM infrastructure: models, prompts, guardrails, and feedback loops Prototype, validate, and harden novel approaches before sharing with the broader team Drive Organizational Leverage Partner with Engineering leadership, Product, and Design to shape the AI roadmap Create reusable platforms, patterns, and tooling that multiply team velocity across the org Identify and develop the next generation of senior engineers Translate long-term product vision into concrete technical strategies Represent and Advance the Field Stay at the frontier of LLM and agent research; rapidly evaluate and adopt what matters Build internal knowledge and shared understanding of AI system design Contribute to Fieldguide's reputation as a technical leader in vertical AI Who You Are You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you: Technical depth with organizational influence: You lead through expertise, not authority Systems thinker: You see second-order effects and design for them Strong product judgment: You prioritize ruthlessly and keep customer outcomes in focus Multiplier: You make everyone around you more effective—you don't just ship solo Principled pragmatism: You know when to push boundaries and when to ship what works End-to-end ownership: You own outcomes, not just deliverables Experience We care more about capability and trajectory than years on a resume, but most strong candidates have: 8+ years shipping production software, with 3+ years leading complex AI/ML systems Deep expertise in TypeScript, Python, and distributed system design Proven track record shipping LLM-powered products at enterprise scale Experience defining evaluation infrastructure and reliability standards for AI systems Mastery of retrieval architectures, RAG, vector databases, and embedding pipelines Hands-on with cutting-edge LLM APIs and agent frameworks (OpenAI, Anthropic, Gemini, LangGraph, etc.) Experience influencing technical direction across multiple teams or product areas Track record mentoring senior engineers and growing engineering culture What Should Excite You Enterprise-grade reliability: Building systems professionals depend on Human-in-the-loop design: Knowing when to automate vs. when to surface decisions Nuanced evaluation: Audits require judgment, so feedback structures matter Explainability: Making AI outputs and reasoning transparent and trustworthy Complex domains: Navigating compliance and enterprise rigor while moving fast Shipping daily value: Delivering agent experiences customers use every day Benefits Competitive compensation with equity Comprehensive health and wellness benefits Flexible time off and work schedules Technology reimbursements 401(k) plan Twice-yearly in-person offsites across the U.S. Wellness benefits starting on your first day Our Values Fearless — Inspire and break down seemingly impossible walls Fast — Launch fast with excellence; iterate to perfection Lovable — Deliver happiness and 11-star experiences Owners — Execute and run the business with ownership Win-win — Create mutual value and earn trust for life Inclusive — Scale the best ideas with inclusive teams Apply Now About the company Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms 51-200 Employees San Francisco 51-200 SaaS Enterprise Software Accounting B2B Growth Stage Top Investors YC Funded Growing fast Employees joined from Thomson Reuters Ernst & Young Meta Kustomer JazzHR Learn more about Fieldguide Founders Jin Chang Founder San Francisco Chris Szymansky Co-Founder / Chief Technology Officer San Francisco View the team Similar Jobs Astranis Building next-generation internet satellites to get the world online Senior Software Engineer - Flight Software $150k – $200k Apply Astranis Building next-generation internet satellites to get the world online Hardware Test Software Engineer $115k – $150k Apply Astranis Building next-generation internet satellites to get the world online Senior Hardware/Production Test Software Engineer $150k – $215k Apply Stuut AI Co-Pilot for Accounts Receivable Member of the Technical Staff — Applied AI, Fullstack $150k – $220k • 0.1% – 0.5% Apply AutoComplete Zero-effort auto insurance Senior Back-End Engineer $70k – $100k • 0.0% – 1.0% Apply Bobyard Build the future of construction estimating Fullstack Engineer $120k – $150k • 0.025% – 0.05% Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply KYC Hospitality Enterprise Software for Hotels Support Engineer $85k – $110k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Rula Actively Hiring Our mission is to make mental healthcare work for everyone Top 1% of responders Responds within a day B2C +1 Save Apply Now Principal AI Engineer - Personalization and Recommendation (Remote) $282k – $370k | Remote ( United States ) • Los Angeles |Full Time Posted: 2 days ago• Recruiter recently active Job Location Los Angeles Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Natalie Lynch-Clark Head of Talent Acquisition • 5 years Chicago About the job We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role At Rula, this role owns the applied AI and ML solutions that determine what, how, and how well AI shows up across mental healthcare. The focus isn’t on isolated prototypes, but on building production-grade AI systems that directly power patient-provider matching, clinical workflows, and patient engagement. While your immediate focus will be driving search ranking, relevance, and patient-provider matching, your broader scope encompasses our overarching personalization and recommendation strategies, alongside directing the foundational ML platforms that support them at scale. You’ll operate where applied research, system architecture, and real-world clinical constraints meet. The work spans developing advanced recommendation engines and retrieval models, applying NLP and generative AI to clinical workflows, setting technical standards for AI safety, and making principal decisions about how machine learning is introduced into a high-stakes environment. The goal is simple but hard: leverage applied AI—from intelligent matching and deep personalization to broader AI solutions—to make care more accessible and effective without compromising trust or outcomes. This is a deeply hands-on role with real technical ownership. You’ll develop and fine-tune models (e.g., Learning-to-Rank, embeddings, recommendation algorithms, and LLMs), design both product-facing AI architectures and core ML infrastructure, unblock complex engineering problems, and act as a technical multiplier for engineers working across product surfaces. Success here means shipping applied AI features that tangibly improve match quality and the user experience, while simultaneously building scalable, durable AI foundations that others can build on confidently. The opportunity is less about chasing the AI frontier for its own sake and more about shaping how applied ML responsibly becomes part of everyday mental healthcare. You will set the direction not just for our immediate relevance and recommendation systems, but for how the entire AI ecosystem—from infrastructure to advanced clinical applications—evolves to actively improve patient outcomes over time. Required Qualifications 10+ years of software engineering, including 7+ years of experience designing and scaling distributed systems, and 5+ years building and deploying production-grade ML applications. 5+ years of deep, hands-on experience building and optimizing search, ranking, relevance, or recommendation engines at scale (e.g., Learning-to-Rank, collaborative filtering, deep recommender systems, semantic vector search) 5+ years of strong programming experience in Python and at least one backend language (preferably TypeScript, Java, or Go), combined with 2+ years of experience building AI-powered products using foundation models (OpenAI, Anthropic, Gemini) and LLM integration patterns (RAG, agents, etc.) Strong proven track record working with both traditional search/retrieval infrastructure (e.g., Elasticsearch, OpenSearch) and modern vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) 3+ years of experience with MLOps, data pipelines, and rigorous evaluation systems (offline metrics like NDCG/MAP, online A/B testing), with a demonstrated ability to define technical strategy and guide the broader AI/ML infrastructure ecosystem Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.). Familiarity with human-in-the-loop systems and clinical decision support frameworks. Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety. Experience contributing to early-stage team growth (0 → 1) Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains We're serious about your well-being! As part of our team, full-time employees receive: 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA 401(k) plan access: Start saving for your future Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering Employee Assistance Program (EAP): Supporting your mental and physical health Quarterly department stipend: Fun team-building activities or in-person gatherings Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued. Apply Now About the company Rula Actively Hiring Our mission is to make mental healthcare work for everyone 501-1000 Employees Remote 501-1000 Healthcare Technology Healthcare Startups Mental Health Top 1% of responders Responds within a day B2C Scale Stage Learn more about Rula Funding AMOUNT RAISED $248.5M FUNDED OVER 3 rounds Rounds C $143000000 Series C - Jun 2024 +2 View Rula's funding history Perks Medical, dental, and vision insurance through our employer plan 401K Paid leave for ALL parents 12 weeks 100% paid leave for all parents (birthing, non-birthing, adopting, fostering) for employees who have been at Path for at least 12 months 100% Remote Company You’ll have the ability to work from wherever you want within the continental US without impacting your compensation Generous PTO Self-Care Weeks 2 company-wide shutdown weeks each year to focus on self-care Explore Rula's perks and benefits Similar Jobs Tatari Buy and measure ads for brands across linear & streaming TV Data Science Manager $160k – $220k Apply Tatari Buy and measure ads for brands across linear & streaming TV Data Science Analyst $70k – $85k Apply Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior/Staff Machine Learning Engineer, Match Team $180k – $295k Apply America on Tech AOT is a nonprofit preparing the next gen of tech leaders from underestimated communities Intro to AI Instructor-LA $7k – $7k • No equity Apply Quilter Compiler for printed circuit boards Senior ML Engineer $180k – $200k Apply River River is a new platform where you can chat, search, and shop, and get paid for all of it Lead Data Scientist / Machine Learning Engineer – Knowledge Graph & Agentic AI $90k – $120k • 0.5% – 1.0% Apply Snout Pet wellness plans that actually work Analytics Engineer $100k – $160k • No equity Apply CenterCheck The most comprehensive database for retail sales performance Data Scientist and Data Engineer $65k – $120k • 0.0% – 1.0% Apply AI Training Jobs A platform for remote AI training jobs Senior Software Engineer — AI Automation $220k – $300k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Rula Actively Hiring Our mission is to make mental healthcare work for everyone Top 1% of responders Responds within a day B2C +1 Save Apply Now Staff AI Engineer - Foundation (Remote) $208k – $260k | Remote ( United States ) • Los Angeles |Full Time Posted: 2 months ago Job Location Los Angeles Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role We’re hiring a Staff AI Engineer to lead some of Rula’s most important applied AI investments as we scale. You’ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. It’s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula. Required Qualifications 8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment) 5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go) Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.) Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement. Strong and effective communication skills. Bachelor’s degree or above in Machine Learning, or related field. Preferred Qualifications 5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems. Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.) Familiarity with human-in-the-loop systems and clinical decision support frameworks. Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety. Experience working in a highly regulated industry such as finance or healthcare Experience contributing to early-stage team growth (0 → 1) We're serious about your well-being! As part of our team, full-time employees receive: 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA 401(k) plan access: Start saving for your future Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering Employee Assistance Program (EAP): Supporting your mental and physical health Quarterly department stipend: Fun team-building activities or in-person gatherings Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued. Apply Now About the company Rula Actively Hiring Our mission is to make mental healthcare work for everyone 501-1000 Employees Remote 501-1000 Healthcare Technology Healthcare Startups Mental Health Top 1% of responders Responds within a day B2C Scale Stage Learn more about Rula Funding AMOUNT RAISED $248.5M FUNDED OVER 3 rounds Rounds C $143000000 Series C - Jun 2024 +2 View Rula's funding history Perks Medical, dental, and vision insurance through our employer plan 401K Paid leave for ALL parents 12 weeks 100% paid leave for all parents (birthing, non-birthing, adopting, fostering) for employees who have been at Path for at least 12 months 100% Remote Company You’ll have the ability to work from wherever you want within the continental US without impacting your compensation Generous PTO Self-Care Weeks 2 company-wide shutdown weeks each year to focus on self-care Explore Rula's perks and benefits Similar Jobs Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Avenda Health Bringing superhuman abilities to cancer care Sr. Software Engineer - Fullstack $170k – $200k • 0.1% – 0.25% Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply swivl Self Storage Automation Platform Sr. Full Stack Engineer $155k – $205k • 0.0% – 1.0% Apply Axle Health Scheduling and workforce management software for in-home care providers Senior Software Engineer, Interoperability $170k – $200k Apply AnySignal next generation RF Forward Deployed Engineer $130k – $200k Apply MOLTEN Cloud Multi-cloud SaaS arming digital rights holders with better operations to manage & monetize content Senior Software Engineer (fully remote domestically in USA) $100k – $150k • 0.0% – 0.25% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Rula Actively Hiring Our mission is to make mental healthcare work for everyone Top 1% of responders Responds within a day B2C +1 Save Apply Now Sr. Staff AI Engineer - Applied AI (Remote) $242k – $303k | Remote ( United States ) • Los Angeles |Full Time Posted: 2 months ago Job Location Los Angeles Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role At Rula, this role owns the AI foundation that determines how, and how well, AI shows up across mental healthcare. The focus isn’t on prototypes or isolated features, but on building durable, production-grade generative AI systems that directly power patient engagement, provider workflows, and clinical operations at scale. You’ll operate where architecture, applied research, and real-world constraints meet. The work includes designing core AI platforms, setting technical standards for safety, reliability, and performance, and making principald decisions about how advanced AI is introduced into a regulated, high-stakes care environment. The goal is simple but hard: make AI genuinely useful in clinical contexts, without compromising trust or outcomes. This is a deeply hands-on role with real technical ownership. You’ll define system architecture, unblock complex engineering problems, and act as a technical multiplier for other engineers working across product surfaces. Success here means creating foundations that others can build on confidently and that hold up under scale, scrutiny, and real patient impact. The opportunity is less about chasing the frontier for its own sake and more about shaping how AI responsibly becomes part of everyday mental healthcare, setting direction not just for what we build next, but for how AI evolves inside the care ecosystem over time. Required Qualifications 10+ years of software engineering, including 7+ years of experience with Public Cloud (AWS, GCP, etc.), 5+ years designing and scaling distributed systems. 5+ years of deep experience in Python and at least one backend language (preferably JavaScript, TypeScript, Java, or Go) 2+ years of proven track record building AI-powered products at scale, including hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.). 2+ years of strong experience in LLM integration patterns (RAG, function calling, agents, memory routing, etc.), or AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), or vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). 3+ years in working with MLOps, data pipelines, evaluation, and observability systems for continuous model improvement. Preferred Qualifications Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.). Familiarity with human-in-the-loop systems and clinical decision support frameworks. Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety. Experience contributing to early-stage team growth (0 → 1) Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains. We're serious about your well-being! As part of our team, full-time employees receive: 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA 401(k) plan access: Start saving for your future Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering Employee Assistance Program (EAP): Supporting your mental and physical health Quarterly department stipend: Fun team-building activities or in-person gatherings Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued. Apply Now About the company Rula Actively Hiring Our mission is to make mental healthcare work for everyone 501-1000 Employees Remote 501-1000 Healthcare Technology Healthcare Startups Mental Health Top 1% of responders Responds within a day B2C Scale Stage Learn more about Rula Funding AMOUNT RAISED $248.5M FUNDED OVER 3 rounds Rounds C $143000000 Series C - Jun 2024 +2 View Rula's funding history Perks Medical, dental, and vision insurance through our employer plan 401K Paid leave for ALL parents 12 weeks 100% paid leave for all parents (birthing, non-birthing, adopting, fostering) for employees who have been at Path for at least 12 months 100% Remote Company You’ll have the ability to work from wherever you want within the continental US without impacting your compensation Generous PTO Self-Care Weeks 2 company-wide shutdown weeks each year to focus on self-care Explore Rula's perks and benefits Similar Jobs Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Avenda Health Bringing superhuman abilities to cancer care Sr. Software Engineer - Fullstack $170k – $200k • 0.1% – 0.25% Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply swivl Self Storage Automation Platform Sr. Full Stack Engineer $155k – $205k • 0.0% – 1.0% Apply Axle Health Scheduling and workforce management software for in-home care providers Senior Software Engineer, Interoperability $170k – $200k Apply AnySignal next generation RF Forward Deployed Engineer $130k – $200k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Omada Health We inspire and engage people in lifelong health, one step at a time B2B Scale Stage Top Investors +3 Save Apply Now Senior Applied AI Engineer $189k – $236k | Remote ( United States ) • United States |Full Time Reposted: 1 year ago Job Location United States Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Available Relocation Allowed About the job Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job overview: Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change. Exceptional software with targeted AI applications is essential for delivering effective care at a broad scale. As a Senior AI Engineer at Omada, you will lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways. About you: 5+ years of experience deploying AI models with demonstrated business impact. Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI. Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex) Expertise in machine learning tools (e.g., sklearn, PyTorch/TensorFlow, Hugging Face) General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML) Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts. Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs. A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments. A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape. Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment. Interest in the intersection of healthcare and AI BA/BS in Computer Science or a related technical field or equivalent practical experience Your impact: Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs. Play a pivotal role in influencing business outcomes by deploying new solutions, working closely with product and business collaborators. Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure. Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights. Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment. Agile Collaboration: Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals. Benefits: Competitive salary with generous annual cash bonus Stock options Remote first work from home culture Flexible Time Off to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Two giftable Omada enrollments per calendar year Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada is a virtual-first chronic care provider that nurtures lifelong health, one day at a time. Our care teams implement clinically-validated behavior change protocols for individuals with prediabetes, diabetes, hypertension, and musculoskeletal issues for consistent improvements that stack up. With more than a decade of experience and data, and 24 peer-reviewed publications that showcase our clinical and economic results, we improve health outcomes and help contain healthcare costs. Our scope exceeds 1,800 customers, including health plans, health systems, and employers ranging in size from small businesses to Fortune 500s. Omada is the first virtual provider to join the Institute for Healthcare Improvement’s Leadership Alliance, reflecting our aim to complement primary care providers for the benefit of our members, and affirming our guarantee to every partner: Omada works different. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $188,600 - $235,800, Colorado Base Compensation Ranges: $180,400 - $225,500. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please click here for more information on our Candidate Privacy Notice. Apply Now About the company Omada Health We inspire and engage people in lifelong health, one step at a time 501-1000 Employees San Francisco 501-1000 Startup Healthcare Medical Education Therapeutics Personal Health Health and Wellness B2B Scale Stage Top Investors Valuation $1B+ 4.3 Highly rated 4.5 Work / Life Balance Employees joined from Google University of California Berkeley Kaiser Permanente Castlight Health Physera Learn more about Omada Health Funding AMOUNT RAISED $427M FUNDED OVER 12 rounds Rounds E $192000000 Series E - Feb 2022 +11 View Omada Health's funding history Perks Parental Leave We support all new parents with competitive leave policies and flexible schedules upon return. Remote First Join Omada from anywhere in the US. No matter where you’re located, we budget for travel so your team can come together. Flexible Vacation Invest in yourself and your loved ones with flexible time away. Meeting-free Days Every Wednesday afternoon,we observe company-wide focus time with nothing on the calendar. Omada Program Join our best-in-class program to reach your health goals, and invite a loved one to join you too. Resources to Thrive Invest in inclusion with resource groups, equity training, and a cross-functional team dedicated to belonging. Explore Omada Health's perks and benefits Founders Sean Duffy Co-founder & CEO • 15 years San Francisco Adrian James Founder Oakland Andrew DiMichele Founder Boston View the team Similar Jobs Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Array Building the Array! Lead Go Software Engineer $140k – $140k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Uniblox eCommerce for Insurance Machine Learning Engineer ₹15L – ₹25L Apply Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell Software Engineer, Backend/Applied ML (Safety & Integrity) $150k – $300k Apply GenAI.Labs Building tomorrow's AI, Today Staff API/Microservices Engineer (Agentic AI-Focused) $40k – $120k • 0.0% – 1.0% Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Senior Machine Learning Engineer $150k – $265k • 0.1% – 0.25% Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Arcade The easiest way to showcase your product B2B Early Stage Top Investors Save Apply Now Senior Applied AI Engineer $130k – $265k | Remote ( United States ) • San Francisco |Full Time Posted: 4 months ago• Recruiter recently active Job Location San Francisco Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job About Arcade Arcade is a fast-growing company based in San Francisco, helping teams create AI-driven interactive product demos in minutes. With over 100,000 users, we’re driving leads, boosting product adoption, and transforming how products are showcased. Our team of about 20 is expanding, and we’re looking for builders excited to shape the future of product storytelling. What You'll Do ✨ We’re looking for product-minded AI Engineers excited to push the boundaries of AI. You’ll work across advanced prompting strategies, retrieval-augmented generation, context orchestration, and dynamic model routing to create intelligent, multimodal experiences. Your work will power interactive demos as well other rich media workflows that feel magical to end users. As part of a small, fast-moving team, you’ll collaborate tightly with design and engineering to prototype novel capabilities and own them through to production. Who You Are First and foremost, you’re someone who enjoys building something from scratch and thrives in a highly autonomous environment. You're ready to build, iterate, and ship at speed, and have experience working cross-functionally to get stuff done. You care about creating beautiful (dare we say delightful) products, and your low ego means you're ready to tackle whatever technical challenge the team is facing Skills and Qualifications 5+ years experience in software engineering and/or AI. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Experience building and maintaining production systems within AI/LLM contexts. Ability to work with LLM pipelines, vector search, agent frameworks, and/or multimodal tools. Experience optimizing applications to perform at their best. Nice to Have Skills: Typescript, Next.js; React; Experimentation; Security. Why Arcade Might Be a Great Fit for You: Be part of a small, highly technical team where engineers ship bold ideas end-to-end. Work in a culture that values openness, ownership, collaboration, and kindness. Enjoy perks like unlimited PTO, rich health/401(k) plans, meeting-light culture, remote stipend, and biannual retreats. Enjoy working on site in San Francisco on Tuesdays and Thursdays. Compensation $130k-$265k, plus meaningful equity Our values ❤️ Be a coach: We want the best for our customers and ourselves. We coach people to help them achieve their best potential. An “Arcader” is both a teammate and a customer. There is a reason that the same word describes both. Carry the weight: We are owners. Let’s empower each other. When we see something that needs change, we lead through it. An open book: We are open as a team and as a product. We don’t put walls up unless it’s necessary. We become better when we share information. We are open to diversity of opinion, backgrounds, and thought. Play as a team: We play because we’re a creator tool. Life is short. Let’s build something meaningful. We play as a team because great teams build great things together. We keep those standards high. Be kind: We can be honest and kind. We can have high standards and be kind. We can say no and be kind. Kindness can vary across cultures, upbringings, and languages - but we try our best to be kind. Apply Now About the company Arcade The easiest way to showcase your product 11-50 Employees San Francisco 11-50 Startup SaaS B2B Software B2B Early Stage Top Investors Learn more about Arcade Funding AMOUNT RAISED $10M FUNDED OVER 2 rounds Rounds S $7500000 Seed - Sep 2022 +1 View Arcade's funding history Perks Healthcare benefits We offer comprehensive health, dental, vision for employees and their dependents. Parental leave We offer between 12 and 22 weeks of paid parental leave. Unlimited Vacation Take time off when you need it and come back when you're refreshed. Annual company offsite We value meeting everyone in person! Explore Arcade's perks and benefits Founders Rich Manalang Founder Oakland Caroline Clark Founder View the team Similar Jobs Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Astranis Building next-generation internet satellites to get the world online Senior Software Engineer - Flight Software $150k – $200k Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Stuut AI Co-Pilot for Accounts Receivable Member of the Technical Staff — Applied AI, Fullstack $150k – $220k • 0.1% – 0.5% Apply Vannevar Labs Defense for the digital domain Senior Software Engineer, Search $150k – $215k Apply Svix (YC W21) Enterprise ready webhooks service. 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Arcade The easiest way to showcase your product B2B Early Stage Top Investors Save Apply Now Senior Machine Learning Engineer $180k – $300k | Remote ( United States ) • San Francisco |Full Time Reposted: 4 months ago• Recruiter recently active Job Location San Francisco Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job Senior Software Engineer, Machine Learning We’re looking for a product-minded machine learning engineer who’s excited to push the boundaries of what’s possible with AI. At Arcade, you’ll experiment with the latest models to generate visuals, motion, and language that capture brand personality — crafting the foundation for content that builds and improves itself. This is a highly collaborative and high-impact role. You’ll partner closely with design, engineering, and product to build and customize machine learning models. Expect to move fast, own ambitious projects, and see your ideas shape the way people tell product stories. Who You Are / What You’ll Do Own the ML stack end-to-end: Evaluate hosted models, fine-tune open-source ones, and build scalable pipelines for image, video, and text generation. Develop brand-aligned generation systems: Create techniques for tone, color, and style fidelity across mediums. Improve generation quality: Build internal evaluation frameworks to measure realism, brand match, and creative diversity. Prototype and ship: Rapidly turn research ideas into productized APIs that power Arcade’s content generation features. Collaborate cross-functionally: Work with design and marketing to define what “on-brand” means, and with engineers to integrate ML systems into production. Lay the foundation for content optimization: Build data pipelines connecting engagement metrics to model tuning. What We’re Looking For Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar). Minimum 5 years experience with hands-on experience fine-tuning or training open-source models. Deep familiarity with modern inference and training tooling (LoRA, PEFT, DeepSpeed, Ray, Hugging Face, etc.). Portfolio or prior work demonstrating creative use of generative models (visuals, videos, text, etc.). Comfort operating across research, engineering, and product — shipping real features, not just experiments. (Nice to have) Familiarity with TypeScript/Next.js and integrating ML APIs into frontend products. Located in or willing to relocate to the Bay Area; occasional in-person collaboration required. Why Arcade Might Be a Great Fit for You: Be part of a small, highly technical team where engineers ship bold ideas end-to-end. Work in a culture that values openness, ownership, collaboration, and kindness. Enjoy perks like unlimited PTO, rich health/401(k) plans, meeting-light culture, remote stipend, and biannual retreats. Enjoy working on site in San Francisco on Tuesdays and Thursdays. Compensation $180k-$300k, plus meaningful equity Our values ❤️ Be a coach: We want the best for our customers and ourselves. We coach people to help them achieve their best potential. An “Arcader” is both a teammate and a customer. There is a reason that the same word describes both. Carry the weight: We are owners. Let’s empower each other. When we see something that needs change, we lead through it. An open book: We are open as a team and as a product. We don’t put walls up unless it’s necessary. We become better when we share information. We are open to diversity of opinion, backgrounds, and thought. Play as a team: We play because we’re a creator tool. Life is short. Let’s build something meaningful. We play as a team because great teams build great things together. We keep those standards high. Be kind: We can be honest and kind. We can have high standards and be kind. We can say no and be kind. Kindness can vary across cultures, upbringings, and languages - but we try our best to be kind. Apply Now About the company Arcade The easiest way to showcase your product 11-50 Employees San Francisco 11-50 Startup SaaS B2B Software B2B Early Stage Top Investors Learn more about Arcade Funding AMOUNT RAISED $10M FUNDED OVER 2 rounds Rounds S $7500000 Seed - Sep 2022 +1 View Arcade's funding history Perks Healthcare benefits We offer comprehensive health, dental, vision for employees and their dependents. Parental leave We offer between 12 and 22 weeks of paid parental leave. Unlimited Vacation Take time off when you need it and come back when you're refreshed. Annual company offsite We value meeting everyone in person! Explore Arcade's perks and benefits Founders Rich Manalang Founder Oakland Caroline Clark Founder View the team Similar Jobs Instrumentl The best platform for nonprofits looking to grow revenue (YC S16) Senior Full Stack Software Engineer $160k – $190k Apply Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Trunk DevEx in a box Senior Developer Advocate $120k – $170k • 0.05% – 0.17% Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Prime Intellect open superintelligence and infra Research Engineer - Reinforcement Learning $150k – $350k Apply Onos Health The first comprehensive AI platform for health plans to improve behavioral & mental health services Lead Software Engineer $200k – $275k Apply swivl Self Storage Automation Platform Sr. Full Stack Engineer $155k – $205k • 0.0% – 1.0% Apply Agave API Field and finance, finally in sync Software Engineer $130k – $210k • 0.05% – 0.2% Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Viaduct AI for connected vehicles B2B Growth Stage Save Apply Now Senior Machine Learning Engineer $175k – $250k | Remote ( Everywhere ) • San Francisco +2 |8 years of exp |Full Time Reposted: 4 years ago Job Location San Francisco • Menlo Park • San Francisco Bay Area Hires remotely in Everywhere Visa Sponsorship Available Relocation Allowed Hiring contact Matej Drev Employee Menlo Park About the job Who You Are You are an effective engineer. Whether it be designing a more efficient ML pipeline, developing cutting-edge algorithms, or explaining model behavior to clients, you are up for the challenge. You are the communication bridge between infrastructure and data science, keeping both teams aligned on priorities and goals. You have a propensity for creating processes to help you and the rest of the team be more productive. You embrace new and unfamiliar responsibilities. Day 5 Learn about Viaduct’s history and mission Get to know every team member Set up your development environment Understand Viaduct’s ML pipeline and identify opportunities for improvement Deep dive into the nuances of vehicle data and current modeling techniques Attend our weekly ML lunch Day 30 Improve Viaduct’s existing ML pipeline Start planning for Viaduct’s future modeling needs Collaborate with engineers on system and tooling improvements Deploy models to production Present your work at our weekly ML lunch Day 90 Be a leader on the machine learning team Build new products at the forefront of machine learning Simplify patterns for promoting a model to production Present your models and relevant metrics to clients Expected Skills Able to communicate complex ideas from ML research papers 6+ years in software development 4a+ years working with production ML pipelines and large-scale data processing tools (Spark, Hadoop, Airflow, etc) Extensive Python experience (TensorFlow, CVXPY, PyTorch) Experience as a tech lead and mentor Familiar with the requirements of real-time inference Masters or PhD preferred Why Viaduct Work with established experts in deep learning, time-series analytics, and convex optimization Endless opportunities for technical learning and personal growth Full health, vision, and dental benefits If the challenge of helping automakers create a future of safe, reliable, and personalized vehicles excites you, please reach out at recruiting@viaduct.ai! Apply Now About the company Viaduct AI for connected vehicles 11-50 Employees Menlo Park 11-50 Automotive Machine Learning Artificial Intelligence Connected Cars B2B Growth Stage Learn more about Viaduct Similar Jobs Instrumentl The best platform for nonprofits looking to grow revenue (YC S16) Senior Full Stack Software Engineer $160k – $190k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Svix (YC W21) Enterprise ready webhooks service. Open source and cloud hosted Rust Backend Engineer $130k – $180k Apply Deepgram AI speech API for transcription with human-level understanding Research Staff, Voice AI Foundations $150k – $250k Apply Annex Risk Infrastructure enabling the sale of mass-market natural catastrophe insurance Software Engineer - Backend $140k – $200k Apply Sleeper Connecting people over sports Senior Frontend Engineer (Mobile) $180k – $235k Apply AutoComplete Zero-effort auto insurance Senior Back-End Engineer $70k – $100k • 0.0% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life B2C Public Stage Top Investors Save Apply Now Staff Machine Learning Engineer, Ads Conversion Modeling $177k – $364k | Remote ( Everywhere ) • San Francisco |Full Time Posted: 1 year ago Job Location San Francisco Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team. You will work on tackling new challenges such as user sequence modeling, embedding features, model quantization, utility alignment, RoAS optimization and many more to advance the ML models that power the heavy ranker stage and delivery that bring together pinners and partners in this unique marketplace. What you’ll do: Lead the tech direction and responsible for the development of state-of-the-art applied machine learning projects for the ads conversion modeling team Coach and mentor engineers for the conversion modeling team Design features and build large-scale machine learning models to improve user ads action prediction with low latency Develop new techniques for inferring user interests from online activity Mine text, visual, user signals to better understand user intention Work with product and sales teams to design and implement new ad products What we’re looking for: MS or PhD degree in Computer Science, Statistics or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 2+ years of experience leading projects/teams Strong mathematical skills with knowledge of statistical methods Cross-functional collaborator and strong communicator Background in computational advertising is preferred, but not required Relocation Statement: This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$176,924—$364,254 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. Apply Now About the company Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life 5000+ Employees San Francisco 5000+ Social Media Internet E-Commerce Advertising Social Commerce Social Bookmarking Software Curated Web Social Network B2C Public Stage Top Investors Learn more about Pinterest Funding AMOUNT RAISED $1.4B FUNDED OVER 10 rounds Rounds IPO Undisclosed amount IPO - Apr 2019 +9 View Pinterest's funding history Perks Healthcare benefits Comprehensive health benefits for you and your family. Sponsored One Medical memberships for you and your family [US Only]. Mental health benefits, including free sessions with a therapist. Parental leave 4 months of paid parental leave that parents can take at any time over the course of a year — and we encourage both mothers and fathers to take it. Equity benefits Unlimited Vacation Unlimited PTO for employees in the US Company meals Commuter benefits Explore Pinterest's perks and benefits Founders Evan Sharp Founder San Francisco Ben Silbermann Founder Silicon Valley View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Layer Accounting software that embeds directly within SMB NeoBanks & SMB SaaS Fullstack Engineer $150k – $170k • 0.5% – 1.0% Apply Svix (YC W21) Enterprise ready webhooks service. 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Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life B2C Public Stage Top Investors Save Apply Now Staff Machine Learning Engineer - Responsible AI $208k – $364k | Remote ( Everywhere ) • San Francisco +1 |Full Time Posted: 1 year ago Job Location San Francisco • Palo Alto Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type. We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest. Mentor junior engineers on the Responsible AI team and across the company on the R-AI space. Work with the team and senior leaders at the company to define and drive technical strategy in this area. What we're looking for: Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations. Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems. Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 2+ years experience leading cross-team engineering efforts. Masters or PhD in Comp Sci or related fields Desired skills: Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences. Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows. Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$208,145—$364,254 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. Apply Now About the company Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life 5000+ Employees San Francisco 5000+ Social Media Internet E-Commerce Advertising Social Commerce Social Bookmarking Software Curated Web Social Network B2C Public Stage Top Investors Learn more about Pinterest Funding AMOUNT RAISED $1.4B FUNDED OVER 10 rounds Rounds IPO Undisclosed amount IPO - Apr 2019 +9 View Pinterest's funding history Perks Healthcare benefits Comprehensive health benefits for you and your family. Sponsored One Medical memberships for you and your family [US Only]. Mental health benefits, including free sessions with a therapist. Parental leave 4 months of paid parental leave that parents can take at any time over the course of a year — and we encourage both mothers and fathers to take it. Equity benefits Unlimited Vacation Unlimited PTO for employees in the US Company meals Commuter benefits Explore Pinterest's perks and benefits Founders Evan Sharp Founder San Francisco Ben Silbermann Founder Silicon Valley View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Shef Authentic dishes. Homemade. Delivered. Explore who's cooking in your neighborhood Senior Software Engineer - Full Stack $150k – $170k Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Sleeper Connecting people over sports Senior Frontend Engineer (Mobile) $180k – $235k Apply Prime Intellect open superintelligence and infra Research Engineer - Reinforcement Learning $150k – $350k Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Signifyd Actively Hiring Optimize Revenue. Eliminate Fraud B2B Scale Stage Top Investors +4 Save Apply Now Senior Machine Learning Engineer I // II $140k – $190k | Remote ( United States ) • Chicago +2 |Full Time Posted: 4 months ago• Recruiter recently active Job Location Chicago • Denver • Seattle Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Jenny Saffrin Employee About the job The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices. Our Culture We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward. The Role As a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound. Responsibilities: Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs. Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development. Requirements: Education: A degree in Computer Science, Statistics, or a comparable quantitative field. Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment. Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale. Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments. Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders. Tech Stack: Proficiency in Python, SQL, key ML libraries, and Spark Mindset: A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create. Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic' Nice to have: Previous experience in fraud, fintech, payments, or e-commerce. Passion for writing well-tested production-grade code A Master’s Degree or PhD. Why Join Us? Make an Impact – Your work will directly shape the future of fraud prevention, protecting billions of payments. Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment. Innovate at Scale – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible. Collaborative Culture – Join a team that values curiosity, ownership, and continuous learning. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually Tier 3 (US - All Other): $140,000 - $170,000 annually Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Apply Now About the company Signifyd Actively Hiring Optimize Revenue. Eliminate Fraud 201-500 Employees Denver 201-500 Startup SaaS Enterprise Software E-Commerce Payments Big Data Fraud Detection Fin Tech B2B Scale Stage Top Investors Valuation $1B+ 4.4 Highly rated 4.3 Work / Life Balance 4.3 Strong Leadership Employees joined from Oracle Google PayPal Ekata Hundsun Technologies Learn more about Signifyd Funding AMOUNT RAISED $226M FUNDED OVER 8 rounds Rounds D $100000000 Series D - May 2018 +7 View Signifyd's funding history Perks Healthcare benefits Retirement benefits Parental leave Remote friendly Open Vacation Policy Open Vacation Policy Professional development Cash & Equity Cash & Equity Explore Signifyd's perks and benefits Founders Ohad Samet Founder San Francisco Rajesh Ramanand CEO • 15 years Palo Alto Michael Liberty COO • 15 years Manchester View the team Similar Jobs Scale AI Accelerate the development of AI applications Machine Learning Research Scientist, Post-Training $180k – $225k Apply MOLOCO Machine learning-powered performance advertising solutions Senior Applied Scientist - Moloco Ads $188k – $235k Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply Voicera.io Believe what you hear. Trust what you see Chief Data Scientist & co-Founder $1k – $1k • 3.0% – 5.0% Apply Standard Bots Propel human productivity through the world’s most accessible robots Senior AI Research Engineer $225k – $300k Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Machine Learning Engineer $135k – $210k • 0.1% – 0.25% Apply Klaviyo Klaviyo is the AI-first CRM built for B2C brands Lead Data Science Analyst, GTM Strategic Analytics and Insights $120k – $180k Apply MOLOCO Machine learning-powered performance advertising solutions Senior Data Scientist, Product Analytics - Creatives $180k – $225k Apply Metropolis Empower every journey Senior Machine Learning Engineer, Computer Vision $200k – $260k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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IR Labs Actively Hiring Evidence-first verification for systems code Top 5% of responders Responds within a few days Growing fast Save Apply Now Principal Machine Learning Engineer - Graph ML & Code Intelligence $350k – $430k | Remote ( United States ) |8 years of exp |Full Time Posted: 7 days ago• Recruiter recently active Hires remotely in United States Remote Work Policy Remote only Company Location Denver Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Relocation Not Allowed About the job Who We’re Looking For: Do you see source code as a living graph and get fired up about turning billions of edges into actionable insight? At IR Labs you’ll be the founding Machine Learning Engineer for Graph ML & Code Intelligence. You’ll join a tight, cross functional squad of ML, compiler, and platform experts to build graph native models that untangle the world’s most complex software systems, then ship them to production in weeks, not quarters. Your mandate is truly end to end: design the graph learning roadmap, stand up high throughput pipelines, fuse GNNs with LLM stacks, and watch your models drive 10× impact for Fortune scale customers. What You’ll Do: Own the graph-ML roadmap end-to-end: turn research into production, balance SOTA with real-world constraints, and champion graph learning across teams. Design and train modern GNNs/graph transformers; explore self-supervision, sparsity, and pretraining to lift retrieval, grounding, and reasoning. Build high-performance training/inference pipelines on distributed GPUs with efficient sampling, mixed precision, and custom optimization where needed. Fuse graphs with language systems to power retrieval and reasoning primitives across the product. Model complex technical artifacts as graphs (e.g., code/IR or telemetry) and learn over them for analysis and optimization signals. Ship low-latency, scalable graph services and APIs with streaming updates and robust SLAs. Benchmark and harden sparse+dense kernels; instrument for performance, correctness, and reliability. Establish ML/DataOps for large graphs (versioning, lineage, CI/CD) and embed security, privacy, and compliance by design; mentor and uplevel the team. What You Bring to the Table: 8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M–B+ edges). Deep mastery of GNNs/geometric DL, graph theory, and practical graph querying. Proven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding). Experience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases. Strong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning. Track record building reliable pipelines and operating large data/feature stores for graph workloads. Operational excellence in orchestration, containerization, observability, drift detection, and automated retraining. Clear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders. Apply Now About the company IR Labs Actively Hiring Evidence-first verification for systems code 1-10 Employees Denver 1-10 Public Machine Learning Artificial Intelligence Developer Tools Statistic Analysis Software Engineering Top 5% of responders Responds within a few days Growing fast Learn more about IR Labs Perks Competitive Health, Dental, and Vision Multiple plan tiers to choose from with highly competitive company HSA contributions. 401k Contribution 3% Company Contribution Stock Grants IR is a ASX-listed public company - employee stock grants that vest over 3 years (at board discretion). 100% Remote Flexible environment so you can balance work and life. Explore IR Labs's perks and benefits Founders Nick Brown Cofounder & CTO • 2 years Geoff Sieron Founder & General Manager • 2 years View the team Similar Jobs Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Coalition, inc. Protecting the unprotected. We're hiring! Senior Manager, Machine Learning (Data Operations) $134k – $200k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Cooklist Actively Hiring Agentic Commerce for Grocery Retailers Responds within three weeks B2C Early Stage Save Apply Now Senior Machine Learning Engineer, Personalization & Decision Science $150k – $200k • 0.1% – 0.5% | Remote ( Austin ) • Austin |5 years of exp |Full Time Posted: 2 weeks ago• Recruiter recently active Job Location Austin Remote Work Policy Onsite or remote Hires remotely in Austin Visa Sponsorship Not Available Relocation Allowed Skills Python Machine Learning About the job About Cooklist Cooklist is the AI grocery-intelligence platform powering meal planning and shopping for millions of consumers across our consumer app and white-label enterprise suite. Our mission is to combine the intelligence of a personal shopper, chef, and nutritionist to help people save time, eat better, and enjoy happier lives. We're profitable, process billions of dollars in transactions at the nation's largest retailers, and our mobile experiences reach millions of people. We're backed by Techstars, Mercury Fund, and industry leaders including the former Chief Technology Officer of a leading U.S. grocer and the former Chief Product Officer of Amazon Fresh. Role Overview We're hiring a Senior Machine Learning Engineer to build and operate the models that decide which meals, recipes, products, substitutions, replenishment items, and complete baskets Cooklist should recommend. You will turn household context, food knowledge, retailer assortment, purchase history, and live intent into decisions that are individually relevant and collectively coherent. A conventional recommender might correctly predict that a household likes five chicken recipes. Cooklist must recognize that this creates a repetitive week and instead assemble a plan that fits servings, budget, nutrition, dietary restrictions, cooking time, variety, package sizes, ingredient reuse, pantry state, inventory, and the household's actual preferences. This is a senior individual-contributor role with direct production ownership. You will translate Cooklist's personalization strategy and system goals into models, constraints, optimization approaches, and evaluation plans, then own their execution and ongoing performance. Responsibilities Build Cooklist's recommendation stack: design and productionize multi-stage systems for candidate generation, retrieval, filtering, scoring, ranking, reranking, and final selection across recipes, products, meals, collections, substitutions, and replenishment items. Model household preferences: learn individual and shared household affinities from explicit preferences, order history, recipe interactions, cart edits, substitutions, removals, repeat purchases, and conversational feedback. Distinguish taste from circumstance: identify when an interaction represents a durable preference versus a temporary need, guest purchase, holiday, party, work lunch, children's food, one-time recipe, or another contextual exception. Optimize complete baskets: formulate meal and grocery planning as constrained, multi-objective problems balancing household value with budget, servings, nutrition, allergens, convenience, variety, ingredient reuse, package sizes, pantry carryover, leftovers, and availability. Predict replenishment and substitutions: estimate recurring needs from purchase timing, quantity, household size, seasonality, cadence, and uncertainty; rank replacements using functional equivalence, recipe context, diet, brand, price, package size, inventory, and predicted acceptance. Handle cold start and catalog variation: personalize for new households, members, recipes, products, and sparse users while connecting canonical foods to store-specific SKUs and adapting to assortment, price, promotions, out-of-stocks, regional availability, and catalog drift. Evaluate at the basket level: go beyond item relevance to measure constraint violations, diversity, calibration, coherence, waste, ingredient reuse, acceptance, cart edit distance, substitution acceptance, order behavior, repeat usage, and retention through offline replay and online experiments. Take models to production: own pipelines, batch and low-latency inference, caching, versioning, monitoring, drift detection, fallbacks, and rollback; expose candidates, scores, confidence, constraints, reason codes, and alternative plans through services Cooklist's applications and AI agents can safely consume. Qualifications You have typically 5+ years of experience in machine learning engineering, applied science, recommender systems, operations research, or a related quantitative field. You have shipped a meaningful recommendation, ranking, forecasting, personalization, or optimization system into production and owned its performance after launch. You have deep expertise in recommender systems, retrieval, ranking, embeddings, or user modeling and meaningful working knowledge of forecasting, mathematical optimization, or other decision-science methods. You understand modern recommendation methods such as collaborative filtering, content-based models, two-tower retrieval, sequence models, learning-to-rank, reranking, calibration, exploration, and contextual bandits - and know when a simpler approach is better. You are highly proficient in Python and SQL and write maintainable, rigorously tested production code - not only research notebooks. You understand implicit-feedback problems including exposure bias, negative sampling, delayed outcomes, sparse labels, popularity effects, feedback loops, and the difference between 'not selected' and 'disliked.' You understand experimentation and causal reasoning well enough to distinguish genuine model improvement from noise, leakage, bias, or misleading offline movement. You can operate across the production ML lifecycle, including feature freshness, training-serving consistency, latency, caching, monitoring, data and model drift, graceful degradation, and retraining. You communicate clearly with engineers, product leaders, culinary stakeholders, and founders, and you care about what makes a meal complete, a week varied, a substitution valid, and a shopping cart believable. Bonus Points Experience in grocery, meal kits, food delivery, retail, e-commerce, marketplaces, subscriptions, or another constrained recommendation environment. Experience with consumption or repeat-purchase forecasting, survival analysis, mathematical programming, constraint optimization, or real-time recommendation systems. A master's degree or PhD in computer science, operations research, statistics, applied mathematics, industrial engineering, economics, or a related field. Our Stack Application & interfaces: Python/Django backend; JavaScript/React Native frontend; GraphQL and real-time streaming over WebSockets Data domain: recipes, ingredients, products, retailer catalogs, transactions, carts, prices, promotions, inventory, nutrition, preferences, and pantry signals Modeling: Python-first recommendation, ranking, forecasting, experimentation, and optimization workflows using the right mix of modern ML, classical statistics, and mathematical programming Serving & evaluation: batch and real-time model services integrated with Cooklist's Django backend; offline replay, synthetic household scenarios, basket-level regression suites, online experiments, and production monitoring What We Offer Competitive compensation + meaningful equity Austin, TX based with WFH flexibility Work directly with founders and an elite, tight-knit team Ship products and experiences that materially improve the lives of millions A high-intensity, high-ownership environment designed for builders Apply Now About the company Cooklist Actively Hiring Agentic Commerce for Grocery Retailers 11-50 Employees Austin 11-50 Corporation Artificial Intelligence Retail Technology Apps Retail Grocery Chains Mobile Application Food Tech Responds within three weeks B2C Early Stage Employees joined from The University of Texas at Dallas Mercury UT Dallas Entrepreneurship Club The Cornerstone Restaurant & Bar Discovery Logic Learn more about Cooklist Funding AMOUNT RAISED $3M FUNDED OVER 1 round Round S $3000000 Seed - Jul 2021 View Cooklist's funding history Founders Brandon Warman Founder Dallas Daniel Vitiello Founder Austin View the team Similar Jobs Cooklist Agentic Commerce for Grocery Retailers Senior AI Engineer (LLMs & Agents) $150k – $200k • 0.1% – 0.5% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Coalition, inc. 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Constructor.io Actively Hiring Personalized and highly-relevant search and product discovery Responds within three weeks B2B Growth Stage +1 Save Apply Now Senior Backend Engineer: Machine Learning Infrastructure $80k – $120k | Remote ( United Kingdom ) • United Kingdom |Full Time Posted: 3 weeks ago Job Location United Kingdom Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Not Allowed About the job About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About The Role The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services. In the near and mid-term, our focus areas include: Making ML workloads easy to run, scale, and operate for every team Providing self-service, configurable infrastructure components to ML and product teams Owning and evolving core ML services and related pipelines with a high bar for reliability and performance Challenges you will tackle Design, build, and operate high-load distributed backend services that power the company's ML infrastructure Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome Be responsible for what you and your team do Requirements 5+ years of professional experience in backend or platform engineering Extensive Python knowledge (our primary language) Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it Experience designing and building distributed, high-load services and APIs Strong knowledge of data structures, algorithms, and their trade-offs Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes You are friendly and willing to help your teammates & others Nice to have: Experience with Rust (or C/C++/Go) - a strong plus Experience developing or contributing to ML platforms or ML infrastructure - a strong plus Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus Experience with model serving / inference infrastructure, including LLMs Experience with Infrastructure as Code (Terraform or similar) Benefits 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. Apply Now About the company Constructor.io Actively Hiring Personalized and highly-relevant search and product discovery 501-1000 Employees San Francisco 501-1000 Startup SaaS B2B Search Responds within three weeks B2B Growth Stage Valuation $500M+ Learn more about Constructor.io Funding AMOUNT RAISED $61.1M FUNDED OVER 3 rounds Rounds A $55000000 Series A - Sep 2021 +2 View Constructor.io's funding history Perks Healthcare benefits Company sponsored health coverage. Equity benefits Competitive compensation package including stock options. Remote friendly Generous vacation Unlimited vacation time. Explore Constructor.io's perks and benefits Founders Dan McCormick Founder • 12 years Eli Finkelshteyn CEO • 12 years San Francisco View the team Similar Jobs Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Reedsy A friendly place for authors to learn, create and market the best indie books Senior Frontend Engineer - Remote Europe €60k – €90k • 0.0% – 0.1% Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Flow Engineering Collaborative design for complex hardware projects Software Engineer- London £70k – £120k • 0.01% – 0.1% Apply Countly Product Analytics and Innovation. 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Constructor.io Actively Hiring Personalized and highly-relevant search and product discovery Responds within three weeks B2B Growth Stage +1 Save Apply Now Senior Machine Learning Engineer: Search Quality $80k – $120k | Remote ( United Kingdom ) • United Kingdom |Full Time Posted: 2 months ago Job Location United Kingdom Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Yesenia Parker Sr.Director of People Operations San Francisco Bay Area About the job About us Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware. The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs. About the Job Your primary focus will be relevance evaluation and quality improvements: LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior. Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant. Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations. What makes this interesting Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides. No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means. Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base. Requirements 4+ years shipping production ML systems Experience with search, information retrieval, or recommendation systems Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow) Experience designing and running A/B tests to validate model impact Excellent English communication skills Experience collaborating in cross-functional teams (ranking, product, data engineering) Benefits 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. 🎉 Regular team offsite events to connect and collaborate. 🌎 Fully remote team - choose where you live. 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. 💻 Apple laptops provided for new employees. 🧑🎓 Training and development budget for every employee, refreshed each year. 👪 Maternity & Paternity leave for qualified employees. 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. Apply Now About the company Constructor.io Actively Hiring Personalized and highly-relevant search and product discovery 501-1000 Employees San Francisco 501-1000 Startup SaaS B2B Search Responds within three weeks B2B Growth Stage Valuation $500M+ Learn more about Constructor.io Funding AMOUNT RAISED $61.1M FUNDED OVER 3 rounds Rounds A $55000000 Series A - Sep 2021 +2 View Constructor.io's funding history Perks Healthcare benefits Company sponsored health coverage. Equity benefits Competitive compensation package including stock options. Remote friendly Generous vacation Unlimited vacation time. Explore Constructor.io's perks and benefits Founders Dan McCormick Founder • 12 years Eli Finkelshteyn CEO • 12 years San Francisco View the team Similar Jobs Fintricity We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment AI Data Scientist – Generative AI, Agentic & LLM Research $20k – $100k Apply Checkatrade Find checked trades, compare quotes, book jobs — all in one app. A job done right, made easy Data Scientist £50k – £70k Apply Reedsy A friendly place for authors to learn, create and market the best indie books AI Engineer - Remote Europe €70k – €120k • 0.0% – 0.2% Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business 2026 AI/ML Research Fellow $60k – $120k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and AI Engineer - London £90k – £160k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and Quant Engineer - London £110k – £200k Apply Permutive Performance and privacy. 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SmartVerify.ai Actively Hiring The first Egress Control Plane for the Agentic Era. Autonomous guardrails for AI agents Top 10% of responders Responds within two weeks Save Apply Now Senior Machine Learning Engineer, Classification and Detection (West Coast) $120k – $160k CAD | Remote ( United States • Vancouver +1 ) |6 years of exp |Full Time Posted: 3 days ago• Recruiter recently active Hires remotely in United States - Vancouver - British Columbia Remote Work Policy Remote only Company Location Vancouver Visa Sponsorship Not Available Preferred Timezones Pacific Time Relocation Not Allowed Skills PyTorch AWS SageMaker Huggingface About the job This is a role for someone who trains models. Not someone who calls them. We are building classification and detection systems from scratch: fine-tuned transformers, entity detection over structured and unstructured content, and behavioral scoring against a taxonomy we defined ourselves. If your recent work is retrieval-augmented generation, prompt engineering, agent orchestration, or integrating a foundation model API, this is a different discipline and we would be wasting your time. If you have owned a classifier in production, from data through training through evaluation through the retraining loop, please consider applying. About SmartVerify SmartVerify is building the data egress control plane for enterprise AI. We sit inline between AI agents and enterprise data, inspecting every query, enforcing policy in real time, and producing an immutable audit trail. This is a greenfield build against an existing spec. You have freedom to update the spec as you come in an evaluate the goals. You would be the only ML engineer on staff. You would report directly to the founder, who has a background in this space, and you would have a co-op available to own the evaluation harness and pipeline QA under your direction. What You Would Own • The behavioral classification model: multi-class classification of AI agent query intent against our internal taxonomy, producing labels, confidence, and supporting evidence rather than a bare score • PII and PHI detection over query content and returned data, including span-level identification suitable for audit evidence • Behavioral risk scoring, combining deterministic request signals with model-derived signals • Model training, serving, and versioning on SageMaker within the asynchronous inspection path • The evaluation harness, drift detection, and retraining loop, with a co-op supporting the harness work • The classification output contract that downstream audit, enrichment, and dashboard consumers depend on What We Are Looking For Must-haves are genuinely required. Nice-to-haves are things we expect a strong candidate to pick up here Must have Production ML ownership: models you trained, deployed, monitored, and retrained in a live system Transformer fine-tuning for text classification (BERT family, DistilBERT, or equivalent) Sequence labelling or named entity recognition for structured entity detection Python, PyTorch, Hugging Face Transformers Evaluation rigour: you can explain how you chose thresholds and what you traded away Comfort working from a written design spec rather than waiting for direction Authorised to work in Canada or the United States, located in British Columbia or the Seattle area Nice to have, or will ramp up Bootstrapping labels through weak supervision, LLM-assisted labelling, or active learning Anomaly or behavioural detection with sparse or absent labels SageMaker training jobs and inference endpoints Regulated domain experience: HIPAA, PCI DSS, GDPR, or SOC 2 Fraud, abuse, or security detection background Distillation or quantisation to hold an inference latency budget Kinesis, Kafka, or other streaming pipelines SQL and query structure parsing Mentoring a junior engineer or co-op Who Does Well Here • You have shipped a model that other systems depended on, and you remember what broke • You are honest about model limitations rather than defensive, because our customers are auditors and regulators • You can read an architecture document, disagree with part of it, and say so with a reason • You are comfortable being the only person in the company who understands this layer, and you document accordingly • You want ownership more than you want a large team The Stack Intelligence layer: PyTorch, Hugging Face Transformers, SageMaker training and inference, evaluation and drift tooling Infrastructure: AWS, EKS, Terraform, Helm, Prometheus, Grafana Location and Compensation • Seattle area or British Columbia. Remote within those regions, with periodic in-person time with the team • Existing authorization to work in United States is required. We can sponsor work visa and PR in Canada • Below-market base plus meaningful early-stage equity. We discuss specific numbers early in the process rather than making you guess, and we will not ask you to name a figure first Apply Now About the company SmartVerify.ai Actively Hiring The first Egress Control Plane for the Agentic Era. Autonomous guardrails for AI agents 1-10 Employees Vancouver 1-10 Technology Provider B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Top 10% of responders Responds within two weeks Learn more about SmartVerify.ai Similar Jobs Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Software Engineer $75k – $150k CAD • 0.0% – 0.1% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Deep Learning Researcher $75k – $150k CAD • 0.0% – 0.1% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Deep Learning Researcher Intern $30k – $60k CAD • No equity Apply Hiive The marketplace for private stock. 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Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business B2B Growth Stage Save Apply Now Lead ML Engineer $90k – $120k | Remote ( Romania +2 ) • Kraków |Full Time Reposted: 6 months ago Job Location Kraków Hires remotely in Romania - Croatia - Austria Visa Sponsorship Not Available Relocation Allowed About the job Intuition Machines builds enterprise security products with an AI/ML focus. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration. We’re looking for a Lead Machine Learning Engineer with strong software engineering skills and a creative mindset for ML-focused problem-solving. Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines. What you will do here: Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance. Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints. Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels. Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value. Set technical standards and lead the development of scalable, testable, and high-performance applications. Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization. What you will learn: Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second. Gain experience in architecting and scaling advanced ML solutions for real-world challenges, moving beyond standard approaches from research papers. Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale. What we are looking for: 7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability. Proven experience as the owner or significant contributor to products used by tens of thousands of customers, with the ability to make complex design decisions. Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes. Strong problem-solving skills with creative approaches to overcoming technical challenges. Experience leading technical discussions, driving decisions, and setting technical standards for a team. Excellent written and verbal communication skills, with the ability to articulate complex technical topics to both technical and non-technical stakeholders. Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems. Ability to identify, define, and segment complex research problems and drive innovative solutions that align with business and technical goals. What we offer: Fully remote position with flexible working hours. An inspiring team of colleagues spread all over the world. Pleasant, modern development and deployment workflows: ship early, ship often. High impact: lots of users, happy customers, high growth, and cutting edge R&D. Flat organization, direct interaction with customer teams. We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online! Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence. Apply Now About the company Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business 51-200 Employees Argentina 51-200 Enterprise Software Company Machine Learning Artificial Intelligence Captcha B2B Growth Stage Employees joined from Oracle Google Stanford University My Ally Linux General Store Learn more about Intuition Machines Perks We are a fully remote company Paid Vacation Explore Intuition Machines's perks and benefits Founders Todd Anderson Staff Scientist Eli-Shaoul Khedouri CEO • 9 years United States View the team Similar Jobs iTeamly Support companies in technical and software development Senior AI/ML Engineer zł336k – zł420k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Rocket Money Actively Hiring The Money App That Works for You B2C Scale Stage Top Investors +2 Save Apply Now Staff ML Engineer, Product $210k – $260k | Remote ( United States ) • Denver +4 |Full Time Reposted: 3 weeks ago Job Location Denver • New York City • Washington DC • San Francisco • Washington Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week. ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 🤝 Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE 🤹 As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will: Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it’s unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects: Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 🦄 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER 💫 Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring. Apply Now About the company Rocket Money Actively Hiring The Money App That Works for You 201-500 Employees Washington DC 201-500 Personal Finance B2C Scale Stage Top Investors YC Funded Valuation $1B+ Employees joined from Capital One VistaPrint Upside Business Travel OneBreath Bamboo Learn more about Rocket Money Funding AMOUNT RAISED $21.9M FUNDED OVER 5 rounds Rounds IPO Undisclosed amount IPO - Mar 2023 +4 View Rocket Money's funding history Founders Idris Mokhtarzada Founder • 11 years Silver Spring Haroon Mokhtarzada CEO • 11 years Washington DC Zeki Mokhtarzada Founder Silver Spring View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Deepgram AI speech API for transcription with human-level understanding Research Staff, Voice AI Foundations $150k – $250k Apply Scale AI Accelerate the development of AI applications Machine Learning Research Scientist, Post-Training $180k – $225k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Uniblox eCommerce for Insurance Machine Learning Engineer ₹15L – ₹25L Apply Faire The future is local Senior Applied AI/ML Scientist - Retailer $211k – $291k Apply MOLOCO Machine learning-powered performance advertising solutions Senior Applied Scientist - Moloco Ads $188k – $235k Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Senior Machine Learning Engineer $150k – $265k • 0.1% – 0.25% Apply Unlearn.AI Transforming clinical development by making every trial smarter with AI Applied Machine Learning Scientist $140k – $165k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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AWS Azure CI/CD Cloud platform CloudFormation
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Sierra Studio Actively Hiring Supporting founders and business leaders on their hero's journey Growing fast Save Apply Now Lead AI Engineer $60k – $80k • No equity | Remote ( Brazil ) |4 years of exp |Full Time Reposted: 6 months ago Hires remotely in Brazil Remote Work Policy Remote only Company Location Brazil • Los Angeles Visa Sponsorship Not Available Preferred Timezones Brasilia Summer Time Collaboration Hours 9:00 AM - 6:00 PM Brasilia Summer Time Relocation Not Allowed Skills Python Machine Learning AI TypeScript Machine Learning Algorithms, Deep Learning, Artificial Neural Networks FastAPI Generative AI LLMs Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect About the job Lead AI Engineer 🏔️ About Sierra Studio Sierra Studio is an AI engineering studio and startup incubator – we turn our customers' ideas into reality! We're based in Los Angeles, but our teammates live all around the world. We create products across all areas of software — from web and mobile apps to cutting-edge work at the forefront of AI and large language models. 💼 About The Role As a Lead AI Engineer, you'll lead engineering for one or more AI initiatives at Sierra. You'll architect the stack, prompt engineer LLMs to solve real world problems, and work with your teammates to ship great products you're proud of. You'll work closely with product managers, designers, and other engineers to take products from idea to production. As an early employee at a startup, you'll also be part of creating our culture! Here's a taste of what you could do at Sierra! Client projects: Work with a startup founder to build the MVP of their idea Internal projects: Build an internal AI tool to transform our own workflows Hiring: Help us grow our team and interview future candidates Leadership: Mentor other engineers to level up our team 🔎 Who We're Looking For We're looking for a lead engineer who has experience building great products with LLMs. Work experience, personal projects, or open source — any way you've built things counts. If you're excited about this role but don't check every box, we'd love to see your application anyway. ✨ LLMs & AI You've shipped something real with LLMs — at work, in a project, or in study Experience with prompt engineering, RAG, and agentic patterns Experience building evals for LLM-powered products Growth mindset: Ability to quickly learn new skills in the AI space 🧑🚀 Leadership Experience leading the technical direction of products — formally or informally (tech lead, mentoring, owning a project end-to-end) Ability to work effectively with product, design, and other partners Ability to contribute to multiple projects at the same time Comfortable communicating in English, written and verbal (our clients are US-based) 💻 Software engineering Backend: Either Python (e.g. FastAPI) or TypeScript experience is nice to have! 🔥 Bonus skills – nice to have! Experience with finetuning LLMs Curiosity about new developments in AI Uses AI tools (Cursor, Claude Code, etc) to supercharge your own coding workflow 🌎 How We Work Fully remote, with flexible hours — we care about output, not hours online. We support work-life balance for teammates at every life stage. 💖 Our culture Growth mindset: We look to magnify our strengths, take chances, and always learn from our mistakes. Supportive: We keep our egos out of the workplace and support each other when trying new things. Product & customer centric: We care deeply about our customers and clients and always keep their needs top of mind. We build tech to solve real problems. Ownership: We take initiative, even when it is "not our job." As a startup, we all wear lots of hats. 💡 Why join us? At Sierra Studio, we believe in nurturing talent and creating good vibes at work. We seek inclusion and embrace our differences. We're all about "growth mindset", and we look to magnify our strengths, take chances, and always learn from our mistakes. We don't fit our teammates into boxes, and instead we understand that each person has their own unique set of skills that they bring to the table. If you join us, we'll embrace who you are today, and give you the space and tools to keep growing. Salary Range: $60,000 - $100,000 annually. Your exact compensation will be determined based on a variety of factors that reflect your individual qualifications and how they align with the needs of the role. Apply Now About the company Sierra Studio Actively Hiring Supporting founders and business leaders on their hero's journey 11-50 Employees Brazil 11-50 Artificial Intelligence Startups Technology Software Engineering Growing fast Learn more about Sierra Studio Perks 100% Remote! Sierra Studio is based in Los Angeles, but we’re a fully remote company. We have teammates working from São Paulo, Vitória, Belo Horizonte, Florianópolis, and many other cities. PTO Everyone gets 10 days of PTO a year + their local holidays! Yearly Offsite Once a year, we come together for a week-long offsite to reconnect, eat amazing food, and vibe code crazy ideas in hackathons Entrepreneur in Residence Program We have an internal program to help our employees become founders. If you join our program, we provide the launchpad, resources, and community for you to start your own company. Explore Sierra Studio's perks and benefits Similar Jobs Sierra Studio Supporting founders and business leaders on their hero's journey Lead Full Stack Engineer $70k – $90k • No equity Apply Deaimer Human intelligence for better AI Python Engineer $120k – $124k Apply Alternative Payments Reduce payment processing costs, save time, and get paid faster. All within one platform! Senior Support Engineer $72k – $90k Apply Sierra Studio Supporting founders and business leaders on their hero's journey Founding Engineer (AI | Robotics) $100k – $150k Apply MOLTEN Cloud Multi-cloud SaaS arming digital rights holders with better operations to manage & monetize content Senior Software Engineer, Royalties (Fully Remote, US and Latin America only) $100k – $150k • 0.0% – 0.15% Apply Deserts Digital OÜ Deserts Digital OÜ is an award-winning EU-based global agency that blends AI-powered creativity IT Executive (US-market focus) €48k – €50k • No equity Apply Arktika Applied AI for companies ready to solve what’s really happening below the surface Founding CTO / Chief AI & Delivery Officer $100k – $150k • 0.0% – 2.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Big Data Data Analysis Data Modeling Machine Learning
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AI machine learning APIs Cloud infrastructure Content Management Debugging
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Ads Prediction Auction dynamics Automated Model Search Deep learning Feature Engineering
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Marble Actively Hiring Marble is building the AI native platform to fix the youth mental health crisis Top 10% of responders Responds within a few days Save Apply Now AI Engineer $150k – $200k | Remote ( Everywhere ) • New York |Full Time Reposted: 1 week ago• Recruiter recently active Job Location New York Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed About the job About Marble Marble is fixing the youth mental health crisis by redefining what mental healthcare looks like in the AI era. Last year, 1 in 10 teens attempted suicide. At the heart of this crisis is a severe lack of access to effective care - when kids & families can't get the help they need, problems compound and preventable tragedies follow. We're fixing that by building the AI-native platform that provides affordable & timely access to truly effective care. Our platform: Brings together guardians, schools, therapists & insurers to collaborate together Has AI powered products for each of these stakeholders to surface the right info & give them the tools to be effective Extends the reach of care to support kids 24/7 through our patient companion, "Marty" We're an early-stage, fast-moving team. The people who join now will shape who we are & who we become, not just what we build but how we build. About the Role This is an early AI generalist role where you'll own truly life-changing products end-to-end. You'll work across an AI-first platform, whether that's building the school-facing product that connects students to care, the therapist product that makes clinicians more effective, Marty (our AI-powered patient companion), the revenue cycle management systems, or the internal platform & tooling that all of this is built on. You'll get to know and deeply understand our end users, and you'll partner directly with product, operations, growth, and clinical teams to ship experiences that expand access to care and elevate its quality. You'll bring strong opinions on what to build, raise the engineering bar, and help define what a thoughtful, AI-native engineering culture looks like at an early-stage company. This role is hybrid, with three days per week in our SoHo, New York City office. What You'll Do Build and iterate on Marble's core product surfaces: the school-facing product, therapist platform, Marty (our AI patient companion), payer systems, and internal tooling Own features end-to-end — from discovery and execution through rollout, measurement, and iteration Raise the bar on AI-native ways of working: better tooling, better workflows, and thoughtfully integrated AI features for users and internal teams Evolve the platform that underpins our product: the AI foundations, event-driven workflows, observability, pragmatic infrastructure, etc. Create internal tools and automation that reduce operational load and help the team move faster with fewer mistakes Write clean, maintainable code, improve patterns, and push for simplicity and speed Collaborate with ops, growth, and clinical partners to understand real-world constraints and translate them into great product Mentor others and help build a strong, thoughtful engineering culture Who You Are 2+ years of software engineering experience, with a track record of solving hard problems with code Prior startup experience or strong desire to work at an early stage company; comfortable in a high-autonomy, high-ownership environment AI obsessed and constantly looking to leverage the newest AI tool or workflow Based in New York and able to work from our SoHo office 3+ days per week Mission-driven and energized by solving a Bonus: Prior experience in health tech Experience with Next.js Experience with platform infrastructure — event-driven systems, internal tooling, data pipelines, or cloud infrastructure (AWS, CI/CD, Terraform) Experience with design systems, accessibility, or frontend performance optimization Why Marble Direct impact on a critical & meaningful problem, where you see that impact first-hand on a daily basis Greenfield opportunity to take ownership of & build something from the ground up Small & experienced team that moves fast, has fun and has a culture of growth & feedback Strong equity in an early stage company that's on track to become a unicorn Compensation Marble offers competitive compensation for an early engineering team member. Compensation includes a base salary, strong equity, and full benefits. Base salary range: $150K – $200K Apply Now About the company Marble Actively Hiring Marble is building the AI native platform to fix the youth mental health crisis 11-50 Employees New York City 11-50 Education Technology Healthcare Technology Health Tech Healthcare Marketplaces Mental Health Top 10% of responders Responds within a few days Learn more about Marble Funding AMOUNT RAISED $20.5M FUNDED OVER 2 rounds Rounds A $15500000 Series A - Oct 2025 +1 View Marble's funding history Founders Jake Sussman Founder New York City View the team Similar Jobs Aura Frames Unlimited memories, from phone to frame Senior Software Engineer, Infrastructure - Scaling & Performance $180k – $245k Apply Shef Authentic dishes. Homemade. Delivered. Explore who's cooking in your neighborhood Senior Software Engineer - Full Stack $150k – $170k Apply Vise Technology-Powered Asset Manager for customized, intelligent investing Senior Software Engineer $200k – $230k • 0.01% – 1.0% Apply HelloTrace Operationalizing Metric Trees Senior Software Engineer - AI & Data Platform $135k – $215k • 0.25% – 1.0% Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Scope Labs Software Engineer $135k – $175k Apply Maybern The operating system for modern fund finance Software Engineer, Scenario Modeling $140k – $180k Apply Humanaut Health Health coaching Healthcare Optimization Startup in NYC seeks front end developer $75k – $100k Apply Brellium Clinical teams use Brellium to ensure patient visits meet payor & clinical standards Software Engineer $125k – $185k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Lunera Health Actively Hiring Integrated Virtual Sleep Care. Better Sleep. Better Health Top 1% of responders Responds within a day Save Apply Now Founding AI Engineer $140k – $180k • 1.0% – 4.0% | Remote ( United States ) • New York City +1 |3 years of exp |Full Time Reposted: 2 days ago• Recruiter recently active Job Location New York City • San Francisco Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Relocation Allowed Skills Python Javascript API REST APIs TypeScript AWS ML CI/CD LLMs Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect About the job About us 70 million Americans live with sleep disorders. Half are misdiagnosed as depression or anxiety, and the average wait for a sleep specialist is over six months. Lunera Health is building an AI-native virtual sleep platform that eliminates that wait: a multidisciplinary platform where sleep specialists, nurse practitioners, therapists, and psychiatrists work alongside AI agents to treat the full spectrum of sleep disorders, addressing the medical, behavioral, and lifestyle factors of sleep health in one coordinated care journey. We're founder-led, clinically grounded (our Chief Medical Officer directs a university sleep disorders center at a leading academic institution), and preparing our fundraise with committed development partners already building our integration layer. The role You'll be the first engineering hire and own the AI layer of the platform end to end. External partners are building our EHR and device integrations. You'll design the intelligence that coordinates care across the whole clinical team: An AI pre-visit intake agent that replaces static forms with adaptive interviews and writes structured SOAP notes directly to the EMR A patient interaction bot grounded in full patient context, including device data, medications, and care plans across every provider on the care team, with hard safety escalation rules The retrieval and orchestration layer: RAG over a clinical knowledge base, LLM routing, PHI de-identification, and human-in-the-loop approval for anything clinical Evaluation frameworks that prove clinical accuracy. This is healthcare; "seems right" doesn't ship You'll also set technical direction across the platform, review our development partners' work, and shape the architecture your future team inherits. You Must be United States Citizen BS in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience with a strong shipped-product track record Have shipped LLM-powered products to production: agents, RAG pipelines, or conversational systems, not just prototypes Are strong across the stack: Python, cloud infrastructure (AWS preferred), and comfortable owning systems from model to API Care about evaluation, guardrails, and failure modes. Bonus if you've worked under HIPAA or in another regulated domain Want the founding-engineer trade: broad ownership, direct input on product and hiring, equity that matters Bonus: FHIR/healthcare data experience, voice/speech interfaces, or clinical NLP Why now You'd join at the moment the foundation is being laid, with integrations underway, and clinical leadership in place. The AI architecture is a blank page with real patient data flowing into it. It's yours to design. Apply Now About the company Lunera Health Actively Hiring Integrated Virtual Sleep Care. Better Sleep. Better Health 1-10 Employees New York City 1-10 Healthcare Health and Wellness Top 1% of responders Responds within a day Learn more about Lunera Health Founders Amer Haffar Founder View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Coast Coast is re-imagining B2B payments, beginning with fleet and fuel Full-Stack Engineer / Senior Full-Stack Engineer $160k – $215k Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Decorilla (We're Hiring!) Interior Design 2.0 (VR/AR/3D) Decorilla Fullstack Web Developer $30k – $45k Apply Astranis Building next-generation internet satellites to get the world online Senior Software Engineer - Flight Software $150k – $200k Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply HelloTrace Operationalizing Metric Trees Senior Software Engineer - AI & Data Platform $135k – $215k • 0.25% – 1.0% Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Mapgenesys Actively Hiring ur mission is to help enterprises accelerate transformation, reduce costs, and boost efficiency by d Save Apply Now Sr AI Engineer $80k – $150k | Remote ( Chicago ) • Chicago |5 years of exp |Full Time Posted: 7 days ago• Recruiter recently active Job Location Chicago Remote Work Policy Onsite or remote Hires remotely in Chicago Visa Sponsorship Not Available Preferred Timezones Central Time Relocation Allowed Skills Python Artificial Intelligence Deep Learning FastAPI LLMs LangChain Retrieval-Augmented Generation (RAG) Langgraph Agentic AI About the job Senior AI Engineer Location: Chicago, US Type: Full-time Department: AI & Automation — IT Operations ──────────────────────────────────────────────────────────── About the Role We're building an AI-powered autonomous operations platform that uses multi-agent AI to detect, diagnose, and resolve IT infrastructure incidents — with minimal human intervention. Our platform coordinates specialized AI agents that collaborate across the incident lifecycle, from initial alert through resolution. We have a working MVP processing real incidents end-to-end. We need someone to take the AI layer from functional to intelligent — improving agent reasoning, building smarter retrieval, and making the system genuinely learn from every incident it handles. You'll own the AI layer: agent reasoning, multi-step planning, tool use, knowledge retrieval, and continuous learning. ──────────────────────────────────────────────────────────── What You'll Do • Advance agent reasoning — Design and refine multi-step reasoning pipelines where AI agents dynamically plan, execute, and re-plan based on results. Push toward 80%+ autonomous incident resolution • Build intelligent knowledge retrieval — Implement advanced RAG patterns including hybrid search, re-ranking, chunking strategies, and adaptive retrieval across enterprise knowledge bases • Develop continuous learning capabilities — Build pattern mining that discovers recurring incident patterns, constructs causal models, and auto-generates operational runbooks from historical resolutions • Design multi-agent collaboration — Architect how agents share context, negotiate priorities, and dynamically route work based on incident complexity and confidence levels • Implement safety and guardrails — Extend the safety layer with risk scoring, blast radius estimation, and progressive autonomy models (shadow → supervised → autonomous) • Optimize cost and latency — Implement intelligent model routing (powerful models for complex reasoning, lightweight models for classification), response caching, and token optimization strategies ──────────────────────────────────────────────────────────── What You Bring Must Have • 5+ Python — async/await, FastAPI or similar frameworks, strong software engineering fundamentals • Hands-on LLM application development — You've built production systems where LLMs reason, plan, and use tools. Prompt engineering is second nature • Experience with agentic AI frameworks — LangChain, LangGraph, CrewAI, AutoGen, or similar. You understand state management, checkpointing, and conditional routing in agent workflows • RAG implementation experience — Vector databases, embedding models, hybrid search, retrieval evaluation. You know why naive RAG fails and how to fix it • Comfortable with ambiguity — You'll design, build, test, and iterate in a fast-moving environment. You figure out the right approach, not wait for detailed specs • Observability & production readiness — Tracing (Langfuse/OpenTelemetry), structured logging, prompt/version tracking, monitoring token usage, model drift detection • Cost-performance optimization — Model selection tradeoffs (latency vs reasoning depth), caching strategies, batching, tool-call efficiency, and context window optimization • Security & governance awareness — Prompt injection mitigation, data isolation, secrets handling, PII redaction, and secure tool access patterns Nice to Have • Experience with IT operations, NOC, or ITSM platforms (ServiceNow, PagerDuty, etc.) • Knowledge of causal inference or pattern mining from operational data • Experience with MCP (Model Context Protocol) or similar tool-use frameworks • Familiarity with vector databases (pgvector, Pinecone, Weaviate, Qdrant) • Prior work on AI safety and guardrails for autonomous systems • Experience deploying LLM systems in cloud-native environments (AWS/GCP/Azure, Kubernetes) ──────────────────────────────────────────────────────────── Why Join • Greenfield AI architecture — You're building autonomous agents that reason, learn, and collaborate — not maintaining legacy ML pipelines • Real production impact — Every improvement directly reduces mean time to resolution and operational toil • Cutting-edge applied AI — Multi-agent coordination, agentic RAG, continuous learning from operations data • Ownership — Small team, high autonomy. You'll shape the AI architecture, not just implement tickets Apply Now About the company Mapgenesys Actively Hiring ur mission is to help enterprises accelerate transformation, reduce costs, and boost efficiency by d 51-200 Employees San Francisco 51-200 Cyber Security Learn more about Mapgenesys Similar Jobs Array Building the Array! Lead Go Software Engineer $140k – $140k Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms B2B Growth Stage Top Investors +2 Save Apply Now AI Engineer $150k – $220k | Remote ( United States ) • San Francisco |Full Time Posted: 7 months ago Job Location San Francisco Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job About Us Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. About the Role Fieldguide is building AI agents for the most complex audit and advisory workflows. We’re a San Francisco-based vertical AI company operating in a $100B+ market undergoing rapid transformation. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. As an AI Engineer, you’ll build Fieldguide’s intelligence layer—agentic workflows, architectures, and evaluation systems that power enterprise-grade agents. You’ll operate at the intersection of product engineering, applied AI, and production systems. What You’ll Own Build and Ship AI Agents Implement agentic workflows that automate complex audit tasks Turn customer problems into discrete, testable agent behaviors Integrate LLMs, tools, and retrieval logic into reliable agent experiences Monitor and maintain agents in production with a focus on reliability and performance Execute with AI-Native Leverage Use AI tooling to accelerate how you design, build, and test features Prototype quickly and harden systems for enterprise reliability Build evaluations and feedback loops to improve agent outputs Write prompts and retrieval pipelines that perform at scale Contribute to Product Impact Work closely with senior engineers and product to scope and deliver features Translate customer workflows into clear engineering requirements Identify and surface capability gaps to improve team velocity Who You Are You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you: Bias to building: You move fast and resolve uncertainty by shipping AI-native instincts: You're excited to use LLMs, agents, and automation as core tools Curiosity and learning velocity: You ramp quickly on new problems and technology Collaborative: You communicate proactively and seek feedback often Attention to detail: You care about quality in code and customer-facing outputs Experience We care more about capability and trajectory than years on a resume, but most strong candidates have: 1–3 years shipping production software in real-world systems Proficiency in TypeScript and/or Python Some exposure to LLM APIs (OpenAI, Anthropic, Gemini) or AI tooling Familiarity with retrieval pipelines, RAG concepts, or vector databases is a plus Experience with React and Postgres is helpful but not required Comfortable working in ambiguity with direction from senior engineers What Should Excite You Enterprise-grade reliability: Building systems professionals depend on Human-in-the-loop design: Knowing when to automate vs. when to surface decisions Nuanced evaluation: Audits require judgment, so feedback structures matter Explainability: Making AI outputs and reasoning transparent and trustworthy Complex domains: Navigating compliance and enterprise rigor while moving fast Shipping daily value: Delivering agent experiences customers use every day Benefits Competitive compensation with equity Comprehensive health and wellness benefits Flexible time off and work schedules Technology reimbursements 401(k) plan Twice-yearly in-person offsites across the U.S. Wellness benefits starting on your first day Our Values Fearless — Inspire and break down seemingly impossible walls Fast — Launch fast with excellence; iterate to perfection Lovable — Deliver happiness and 11-star experiences Owners — Execute and run the business with ownership Win-win — Create mutual value and earn trust for life Inclusive — Scale the best ideas with inclusive teams Apply Now About the company Fieldguide Actively Hiring Powering the future of trust with software for modern assurance & advisory firms 51-200 Employees San Francisco 51-200 SaaS Enterprise Software Accounting B2B Growth Stage Top Investors YC Funded Growing fast Employees joined from Thomson Reuters Ernst & Young Meta Kustomer JazzHR Learn more about Fieldguide Founders Jin Chang Founder San Francisco Chris Szymansky Co-Founder / Chief Technology Officer San Francisco View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Shef Authentic dishes. 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Explore who's cooking in your neighborhood Senior Software Engineer - Full Stack $150k – $170k Apply Astranis Building next-generation internet satellites to get the world online Senior Software Engineer - Flight Software $150k – $200k Apply Kick Health The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations Lead Product-Focused Fullstack Web Engineer - Performance Medicine $80k – $150k • 0.1% – 0.5% Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Vannevar Labs Defense for the digital domain Senior Software Engineer, Search $150k – $215k Apply Scale AI Accelerate the development of AI applications Software Engineer, Frontier AI Infrastructure $184k – $259k Apply Layer Accounting software that embeds directly within SMB NeoBanks & SMB SaaS Fullstack Engineer $150k – $170k • 0.5% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Influur Actively Hiring Influur is the first two-sided marketplace in the creator economy industry B2B Growth Stage Save Apply Now AI Engineer $200k – $200k • 0.1% – 0.2% | Remote ( United States ) • New York City +1 |4 years of exp |Full Time Posted: 1 month ago• Recruiter recently active Job Location New York City • New York Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Skills Python Machine Learning Machine Learning Data Science Python R Machine Learning Data Science Python Machine Learning Algorithms, Deep Learning, Artificial Neural Networks AI Agents Agentic Workflow Agentic RAG Multi AI Agentic System Agentic AI About the job About Influur We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today. Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both. Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now. What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it. Your Skillset Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc. Expertise in full-stack development (Node.js, Next.js) and scalable systems. Strong proficiency in Python is a plus. Ability to reason about API orchestration, error handling, integration complexity. Experience building RAG systems. Experience building and integrating APIs (REST) in Node.js. Hands-on experience using AI-powered IDE tools such as Cursor. Experience properly using LLMs in different parts of a greater system. Deep knowledge of which models to be used whenCreating and using embeddings. Strong grasp of API architecture, performance tuning, and database optimization (SQL). Technical leadership: from design to deployment. Deep code quality standards: automation, testing, reviews, and focus on end-to-end ownership. Effective communicator across product, design, and business. Familiarity with cloud infra (AWS/GCP) and container tools (Docker, Kubernetes). Knowledge on social media (especially TikTok), both in a tech perspective and a consumer perspective. Past experience in video content classification/embeddings/tagging. You’re the Type Who Builds like an AI native, automates, experiments, and ships at lightning speed. Brings a generalist mindset, curious, versatile, hands-on, and comfortable across the stack. Moves fast, builds with precision, and expects high standards. Thrives in early-stage startups where nothing is “someone else’s job”. Sees ambiguity as an opportunity to lead and learn. Thinks like a product builder, not just writing code, but shaping how AI enhances user experience and business outcomes. Is obsessed with pushing what’s possible with AI and scalable systems. What We Offer • Competitive equity in a venture-backed company shaping the future of music influencer marketing. • A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance. • Access to elite tools, AI copilots, and a team that builds daily at top speed. • Hybrid flexibility. Apply Now About the company Influur Actively Hiring Influur is the first two-sided marketplace in the creator economy industry 51-200 Employees Miami 51-200 Advertising Marketplaces Technology Content Creators Influencer Marketing B2B Growth Stage Employees joined from PayPal NCR Rappi Cooltech Holding Corp. Dental Whale Learn more about Influur Funding AMOUNT RAISED $10M FUNDED OVER 1 round Round A $10000000 Series A - Nov 2024 View Influur's funding history Founders Alessandra Angelini Founder Miami View the team Similar Jobs Coast Coast is re-imagining B2B payments, beginning with fleet and fuel Full-Stack Engineer / Senior Full-Stack Engineer $160k – $215k Apply Decorilla (We're Hiring!) Interior Design 2.0 (VR/AR/3D) Decorilla Fullstack Web Developer $30k – $45k Apply Kick Health The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations Lead Product-Focused Fullstack Web Engineer - Performance Medicine $80k – $150k • 0.1% – 0.5% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Stuut AI Co-Pilot for Accounts Receivable Member of the Technical Staff — Applied AI, Fullstack $150k – $220k • 0.1% – 0.5% Apply DriveWealth The Modern Brokerage Platform Principal Software Development Engineer, Execution Services $250k – $270k Apply Maybern The operating system for modern fund finance Software Engineer, Scenario Modeling $140k – $180k Apply Humanaut Health Health coaching Healthcare Optimization Startup in NYC seeks front end developer $75k – $100k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Influur Actively Hiring Influur is the first two-sided marketplace in the creator economy industry B2B Growth Stage Save Apply Now AI Engineer $200k – $200k • 0.1% – 0.2% | Remote ( San Francisco ) • San Francisco |2 years of exp |Full Time Reposted: 2 months ago• Recruiter recently active Job Location San Francisco Remote Work Policy Onsite or remote Hires remotely in San Francisco Visa Sponsorship Not Available Relocation Not Allowed Skills Python Machine Learning Machine Learning Data Science Python R Machine Learning Data Science Python Machine Learning Algorithms, Deep Learning, Artificial Neural Networks AI Agents Agentic Workflow Agentic RAG Multi AI Agentic System Agentic AI About the job About Influur We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today. Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both. Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now. What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it. Your Skillset Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc. Expertise in full-stack development (Node.js, Next.js) and scalable systems. Strong proficiency in Python is a plus. Ability to reason about API orchestration, error handling, integration complexity. Experience building RAG systems. Experience building and integrating APIs (REST) in Node.js. Hands-on experience using AI-powered IDE tools such as Cursor. Experience properly using LLMs in different parts of a greater system. Deep knowledge of which models to be used whenCreating and using embeddings. Strong grasp of API architecture, performance tuning, and database optimization (SQL). Technical leadership: from design to deployment. Deep code quality standards: automation, testing, reviews, and focus on end-to-end ownership. Effective communicator across product, design, and business. Familiarity with cloud infra (AWS/GCP) and container tools (Docker, Kubernetes). Knowledge on social media (especially TikTok), both in a tech perspective and a consumer perspective. Past experience in video content classification/embeddings/tagging. You’re the Type Who Builds like an AI native, automates, experiments, and ships at lightning speed. Brings a generalist mindset, curious, versatile, hands-on, and comfortable across the stack. Moves fast, builds with precision, and expects high standards. Thrives in early-stage startups where nothing is “someone else’s job”. Sees ambiguity as an opportunity to lead and learn. Thinks like a product builder, not just writing code, but shaping how AI enhances user experience and business outcomes. Is obsessed with pushing what’s possible with AI and scalable systems. What We Offer • Competitive equity in a venture-backed company shaping the future of music influencer marketing. • A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance. • Access to elite tools, AI copilots, and a team that builds daily at top speed. • Hybrid flexibility. Apply Now About the company Influur Actively Hiring Influur is the first two-sided marketplace in the creator economy industry 51-200 Employees Miami 51-200 Advertising Marketplaces Technology Content Creators Influencer Marketing B2B Growth Stage Employees joined from PayPal NCR Rappi Cooltech Holding Corp. Dental Whale Learn more about Influur Funding AMOUNT RAISED $10M FUNDED OVER 1 round Round A $10000000 Series A - Nov 2024 View Influur's funding history Founders Alessandra Angelini Founder Miami View the team Similar Jobs Ascend Finance Automation Platform for the $7T+ Insurance Industry Senior Software Engineer $170k – $200k • 0.088% – 0.2% Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Trunk DevEx in a box Senior Developer Advocate $120k – $170k • 0.05% – 0.17% Apply Kick Health The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations Lead Product-Focused Fullstack Web Engineer - Performance Medicine $80k – $150k • 0.1% – 0.5% Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Layer Accounting software that embeds directly within SMB NeoBanks & SMB SaaS Fullstack Engineer $150k – $170k • 0.5% – 1.0% Apply Svix (YC W21) Enterprise ready webhooks service. Open source and cloud hosted Rust Backend Engineer $130k – $180k Apply AutoComplete Zero-effort auto insurance Senior Back-End Engineer $70k – $100k • 0.0% – 1.0% Apply Onos Health The first comprehensive AI platform for health plans to improve behavioral & mental health services Lead Software Engineer $200k – $275k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Tapcart The best mobile shopping starts with tapcart Top 10% of responders Responds within two weeks B2B +4 Save Apply Now Sr. AI Engineer $175k – $350k | Remote ( United States ) • Santa Monica |Full Time Posted: 2 months ago Job Location Santa Monica Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job At Tapcart, we believe every brand needs a direct relationship with their customers - one they actually own. We are the mobile commerce engine that powers shopping for Shopify's fastest-growing brands. $15B+ in revenue processed. 200M+ shoppers worldwide. Brands like Princess Polly, Béis, Forever 21, and Young LA rely on us to power a large portion of their revenue. We're a lean team with minimal management and big autonomy. Everyone here builds and code is core to what we do - engineers, product, leadership. We use our own platform, we talk to merchants daily, and we ship constantly. Backed by Shopify, Silver Lake and other top VCs. Profitable and growing If you want a place where you own real outcomes, not just tickets, you'll fit in. Why you should join Tapcart, when you have a sea of other options? You want to work with colleagues who have high standards and who love building beautiful, performant software You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software We deeply care about using AI in our work. Don't proceed with applying if: You don't love agents / don't use them daily You don't value craft and cannot speak to software that inspires you What you’ll be working on at Tapcart Architect and ship core product that feels durable, fast and clean. Work across multiple stacks to deliver impact. Design our proactive AI agent orchestration layers used by thousands of high growth brands Prototype new interaction patterns for human-agent collaboration Raise our bar for engineering craft, help with recruiting, and hold the line on quality Dogfood the platform and our apps every day :) You'll be a true owner, from prototype to production, and work side‑by‑side with the CEO, design, and key stakeholders, all while staying close to merchants to deliver value early and iterate quickly. Qualifications 5+ years of engineering and product work Demonstrated skills across frontend, backend and database layers A Github that is more green than black Salary Range $175,000 - $350,000 - we pay for exceptional Benefits Competitive salary and equity. Medical, dental, vision. 401(k). Flexible PTO. Remote-friendly. Home office stipend. Quarterly merchant stipend. Lots of swag drops Apply Now About the company Tapcart The best mobile shopping starts with tapcart 51-200 Employees Santa Monica 51-200 Startup Mobile App Developer SaaS E Commerce Ios Applications Mobile E-Commerce Mobile Commerce iPhone iOS Predictive Analytics Marketing Automation Shopify Top 10% of responders Responds within two weeks B2B Growth Stage 5.0 Highly rated 4.7 Work / Life Balance 4.9 Strong Leadership Learn more about Tapcart Funding AMOUNT RAISED $65.1M FUNDED OVER 5 rounds Rounds B $50000000 Series B - Jun 2021 +4 View Tapcart's funding history Perks Healthcare benefit Health care Equity benefit Equity plan Generous_vacation benefit Unlimited pto Company_meals benefit Taco tuesday Company_meals benefit Unlimited snacks Company_events benefit Tahoe retreat Explore Tapcart's perks and benefits Founders Sina Mobasser Founder Santa Monica Eric Netsch Founder Santa Monica View the team Similar Jobs Axle Health Scheduling and workforce management software for in-home care providers Senior Software Engineer, Interoperability $170k – $200k Apply Axle Health Scheduling and workforce management software for in-home care providers Senior Software Engineer, Backend $170k – $200k Apply Tapcart The best mobile shopping starts with tapcart Sr. Full Stack Engineer $175k – $350k Apply Tapcart The best mobile shopping starts with tapcart Sr. Product Engineer $175k – $350k Apply Tapcart The best mobile shopping starts with tapcart Sr. React Native Engineer $175k – $350k Apply Axle Health Scheduling and workforce management software for in-home care providers Senior Software Engineer, DevOps and Infrastructure $170k – $200k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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PermitFlow Actively Hiring Construction's AI Workforce B2B Growth Stage Top Investors +2 Save Apply Now Applied AI Engineer $175k – $250k | Remote ( United States ) • New York City |Full Time Posted: 5 months ago Job Location New York City Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country. Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence. As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization. We’ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. Role Overview As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow’s pre-construction platform. You will own the full lifecycle of intelligent agents—from model development to orchestration, productionization, and evaluation—while contributing to core platform engineering. What You’ll Do Develop and deploy AI agents that automate permitting workflows end-to-end Orchestrate multiple models and tools to create reliable, multi-step AI systems Build the internal tools and infrastructure that power and monitor these agents Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features when needed Contribute to system architecture and core platform design with the engineering team Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness Optimize inference pipelines and backend systems for speed, scalability, and cost What We’re Looking For 3+ years in software or ML engineering post-BS/MS Hands-on experience shipping production AI/ML systems or AI-powered products Experience building multi-step ML systems, pipelines, or agentic workflows Strong backend and API development skills, with some frontend experience Track record of building reliable products with attention to quality and detail Startup grit and comfort in fast-moving, evolving environments What We Offer Competitive salary and meaningful equity in a high-growth company 100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA 401(k) savings plan Unlimited PTO and paid family leave Home office & equipment stipend Daily in-office lunch and dinner provided Commuter benefits (pre-tax transit and parking) PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs. Apply Now About the company PermitFlow Actively Hiring Construction's AI Workforce 51-200 Employees New York City 51-200 Software Development Real Estate Construction B2B Growth Stage Top Investors YC Funded Growing fast Employees joined from Amazon Angi On Deck LeadGenius Dropbox DocSend Learn more about PermitFlow Funding AMOUNT RAISED $90.5M FUNDED OVER 3 rounds Rounds B $54000000 Series B - Dec 2025 +2 View PermitFlow's funding history Similar Jobs Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply Coast Coast is re-imagining B2B payments, beginning with fleet and fuel Full-Stack Engineer / Senior Full-Stack Engineer $160k – $215k Apply Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Vise Technology-Powered Asset Manager for customized, intelligent investing Senior Software Engineer $200k – $230k • 0.01% – 1.0% Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Stuut AI Co-Pilot for Accounts Receivable Member of the Technical Staff — Applied AI, Fullstack $150k – $220k • 0.1% – 0.5% Apply Scope Labs Software Engineer $135k – $175k Apply Humanaut Health Health coaching Healthcare Optimization Startup in NYC seeks front end developer $75k – $100k Apply Elaborate Cure your inbasket Backend Engineer $130k – $160k • 0.0% – 0.4% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Ravenna Software Actively Hiring AI-Powered Helpdesk for Internal Teams Save Apply Now AI Engineer $160k – $200k | Remote ( United States ) • Seattle |Full Time Reposted: 2 months ago Job Location Seattle Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job About the Role At Ravenna, we are looking for experienced engineers with a passion for AI and a strong track record of building and shipping production systems. Our team is combining the latest advances in large language models with proven machine learning techniques to build modern, intelligent product experiences. This role requires strong engineering fundamentals and a deep curiosity about how AI systems work in practice. You will design, build, and operate LLM powered systems that are reliable, scalable, and deeply integrated into real product workflows. You will work across the stack. This includes designing AI systems, building backend infrastructure, implementing product features, and iterating quickly based on evaluation and real user feedback. We care deeply about strong engineering practices and expect our AI engineers to think carefully about system design, observability, performance, and reliability. If you are excited about applying cutting edge AI to disrupt large and established markets, we want to talk to you. Responsibilities Build production AI systems Design and implement systems that integrate LLMs into real product workflows. This includes prompt pipelines, tool integration, structured outputs, and systems that combine models with traditional software components. Design reliable LLM architectures Develop robust systems that account for model limitations and failure modes. Build safeguards, retries, evaluation loops, and observability into LLM powered features so they behave reliably in production. Develop evaluation and experimentation frameworks Create evaluation datasets and tooling that allow the team to measure model performance, iterate on system design, and prevent regressions as models and prompts evolve. Build retrieval and knowledge systems Design and optimize retrieval pipelines that power LLM applications. This includes chunking strategies, indexing approaches, vector search, and improving the quality and speed of knowledge retrieval. Ship high quality product features Collaborate with product, design, and engineering teammates to build polished features that leverage AI in ways that feel natural and valuable to users. Maintain strong engineering standards Write clean, maintainable, well tested code. Contribute to system architecture, code reviews, and engineering processes that ensure the platform remains reliable and scalable. About You Strong engineering fundamentals You are a strong software engineer first. You have at least five years of experience building production systems and are comfortable designing complex systems that are reliable, maintainable, and scalable. You think carefully about architecture, testing, observability, performance, and operational reliability. LLM systems experience You have built systems around large language models in production environments. You understand that successful AI products require thoughtful system design, not just calling an API. You have experience designing prompts, managing context, orchestrating tool usage, and improving the reliability of model outputs. Evaluation mindset You care deeply about measuring quality. You have experience building evaluation frameworks, designing datasets, and using experiments to guide improvements to prompts, models, and system architecture. Retrieval and embedding systems You have experience with retrieval augmented generation systems and understand how retrieval quality affects model performance. You are comfortable working with embeddings, vector databases, and semantic search, and you understand how these approaches differ from traditional search and indexing systems. LLM fundamentals You understand how modern language models work at a conceptual level and can speak about transformers, attention mechanisms, and the tradeoffs between different model architectures. AI system intuition You understand the strengths and weaknesses of LLMs in practice. You think about hallucinations, prompt sensitivity, context limits, latency, and cost when designing systems. Experimentation and iteration You are comfortable running experiments across prompts, models, and system designs. You use evaluation data and real world feedback to guide improvements. Benefits Competitive Salary We believe great people should be compensated well. While we are an early stage company, we offer competitive salaries and aim to pay top of market for exceptional talent. We are building an ambitious company and know that attracting great people requires strong compensation. Meaningful Equity We hire people who want to help build Ravenna from the ground up. Equity ensures that when the company succeeds, the people who helped build it share in that success. Early team members have the opportunity to make a real impact on both the product and the future of the company. Choose Your Setup Great work requires great tools. At Ravenna you can choose the hardware and setup that helps you do your best work. Most of the team uses high performance Mac laptops, but you have the flexibility to select the tools and environment that fit your workflow. Flexible Time Off Doing great work requires time to recharge. We offer flexible paid time off so you can take the time you need to rest and stay at your best. We trust our team to manage their time responsibly while delivering meaningful results. Apply Now About the company Ravenna Software Actively Hiring AI-Powered Helpdesk for Internal Teams 11-50 Employees Seattle 11-50 Enterprise Software Artificial Intelligence Learn more about Ravenna Software Similar Jobs Off The Record Fight your traffic tickets directly from your smart phone Senior Software Mobile App Engineer - Flutter $100k – $165k • No equity Apply Kick Health The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations Lead Product-Focused Fullstack Web Engineer - Performance Medicine $80k – $150k • 0.1% – 0.5% Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Adronite A platform that enables companies to gain a deep understanding of complex codebases Software Engineer $190k – $270k Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply Scale AI Accelerate the development of AI applications Machine Learning Research Scientist, Post-Training $180k – $225k Apply Uniblox eCommerce for Insurance Machine Learning Engineer ₹15L – ₹25L Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Workato Actively Hiring The operating system for today’s fast-moving business: integrate + automate 10X faster Top 10% of responders Responds within two weeks B2B +3 Save Apply Now Staff AI Engineer €100k – €150k | Remote ( Spain • Germany +7 ) |7 years of exp |Full Time Posted: 3 weeks ago• Recruiter recently active Hires remotely in Spain - Germany - Poland - Netherlands - Bulgaria - Greece - Portugal - Armenia - Georgia Remote Work Policy Remote only Company Location New York City • Singapore • Spain • San Francisco • Mountain View • Germany • United Kingdom • Ireland • Netherlands • Bulgaria • Portugal Visa Sponsorship Available Preferred Timezones Central European Time, Eastern European Time Relocation Not Allowed Skills Python FastAPI Generative AI About the job We are looking for a Staff AI Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to: Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models. Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents. Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch. Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools. Build and maintain shared Python libraries and SDKs used across multiple applications and microservices. Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform. Develop and enhance monitoring, validation, and observability for production-grade AI solutions. Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement. Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments. Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence. Example Projects Building an evaluation and observability framework for AI model performance and reliability. Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools. Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases. Designing AI services that process and reason over high-volume real-world data at scale. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 7+ years of experience as a Software Engineer, with strong proficiency in Python. Proven track record of building and maintaining production-grade systems using Python. Strong understanding of distributed systems, API design, and data-driven architectures. Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar). Familiarity with AI/ML system design, including LLM integration and evaluation pipelines. Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation). Preferred Skills Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models). Background in developer platforms or AI infrastructure services. Familiarity with vector databases, semantic retrieval, and knowledge graph architectures. Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks. Experience developing enterprise-scale SaaS or distributed backend systems. Contributions to open-source projects in Python, AI, or infrastructure engineering. Soft Skills / Personal Characteristics Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences. Collaborative and proactive approach, comfortable working across teams in a dynamic environment. Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation. Curiosity and a genuine interest in emerging AI technologies and modern backend architectures. Our technical stck: Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD Apply Now About the company Workato Actively Hiring The operating system for today’s fast-moving business: integrate + automate 10X faster 1001-5000 Employees New York City 1001-5000 Artificial Intelligence Bots Top 10% of responders Responds within two weeks B2B Scale Stage Top Investors Valuation $1B+ Employees joined from Oracle Apple Salesforce SAP MuleSoft Learn more about Workato Funding AMOUNT RAISED $105M FUNDED OVER 4 rounds Rounds E Undisclosed amount Series E - Oct 2021 +3 View Workato's funding history Perks Healthcare, Dental, and Vision Provided 401K Equity Equity for employees means everyone is invested Unlimited Vacation 3-times a week catered meals Or a stipend in smaller offices Mentorship Our seasoned C-Suite come from companies like Salesforce, Tableau, Oracle, Amazon Music, Skype, Apple, and more - Our flat hierarchy means everyone is accessible Happy Hours, Dinners and more We celebrate awesome work and team bonding on the reg! We give back Employee volunteering is encouraged and supported. Our CEO matches employee donations on Giving Tuesday, and many of our events include donating to charity. Explore Workato's perks and benefits Founders Gautham Viswanathan Founder View the team Similar Jobs Modash.io We help e-com brands scale creator partnerships - helping millions of creators get paid Senior Product Engineer (remote, Europe) €60k – €100k Apply Adia Health Intelligent Clinical Decision Automation — Transforming medical diagnosis through AI Senior Frontend Engineer $70k – $90k • 0.001% – 0.01% Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Entrupy Instantly authenticate high-value physical goods ML Research Engineer - Computer Vision $40k – $70k Apply Topsort Democratizing Big Tech’s Monetization Secrets into Profitable and Simple Ad Infrastructure Software Engineer, Integrations $60k – $80k • 0.01% – 0.05% Apply PAVE Bank We're building a startup bank Senior/Staff Golang Backend Engineer $75k – $150k Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply Banani AI AI that designs beautiful easy-to-use products Software Engineer €60k – €100k • 0.5% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Sardine Actively Hiring On a mission to make payments instant, global, and risk-free B2B Growth Stage Top Investors +2 Save Apply Now Forward Deployed AI Engineer $160k – $210k | Remote ( Canada +1 ) • United States |Full Time Reposted: 2 months ago Job Location United States Hires remotely in Canada - United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Elaine Voronin Employee About the job Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - United States or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the role: As a Forward Deployed AI Engineer at Sardine, you will act as the crucial bridge between our state-of-the-art AI capabilities and our clients' most complex fraud, compliance, and complex workflow challenges. You will operate with high levels of ownership, embedding directly with our clients to understand their unique operational pain points, scope the requirements, and then roll up your sleeves to build the solution. You will not just be analyzing data; you will be architecting, training, and deploying custom AI agents and intelligent workflows into production environments. This role demands the technical rigor of a seasoned data scientist and the strategic, client-facing acumen to drive a project from conception to deployment. If you thrive at the intersection of client consulting, advanced machine learning, and hands-on engineering, this is the role for you. What you’ll be doing: Embed directly with clients to gather requirements, translating ambiguous operational challenges into concrete technical architectures and delivering high-impact, AI-driven solutions with extreme ownership. Train and deploy custom AI agents to prevent fraud and automate complex fincrime workflows across a diverse portfolio of use cases. Utilize advanced prompt engineering, fine-tuning, and rigorous evaluation frameworks to continuously optimize AI agent performance, ensuring high accuracy, safety, and reliability. Champion an AI-first approach across internal teams and client engagements, demonstrating the tangible business impact of advanced machine learning interventions. Establish and evolve our AI risk metrics, the supporting datasets, and the evaluation pipelines used to measure the causal impact of deployed agents. Collaborate tightly with internal engineering and product teams to scale custom models into production, ensuring seamless integration and optimized operational performance. What you’ll need: 5+ years of experience in Data Science or Applied AI Proficiency in Python and SQL for complex data manipulation, pipeline building, and model integration. A creative, critical thinker with a "get-things-done" mentality, who thrives autonomously and is obsessed with delivering measurable business value. Exceptional ability to own the end-to-end solution lifecycle, including the ability to comfortably translate ambiguous client challenges into concrete requirements and deliver the final product. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice. Apply Now About the company Sardine Actively Hiring On a mission to make payments instant, global, and risk-free 51-200 Employees Austin 51-200 Information Technology Financial Services Payments Finance Fraud Detection Risk Management Finance Technology Cryptocurrency Blockchain / Cryptocurrency NFT B2B Growth Stage Top Investors Valuation $500M+ Growing fast Learn more about Sardine Funding AMOUNT RAISED $51.5M FUNDED OVER 1 round Round B $51500000 Series B - Sep 2022 View Sardine's funding history Perks Healthcare benefits 100% of health insurance, dental, and vision coverage for employees and 60% for dependents - For US only 401k 4% matching in 401k - For US only Equity benefits Early exercise for all options, including pre-vested Generous vacation Uncapped paid time off Company meals Monthly meal stipend Wellness benefits Monthly health and wellness stipend Miscellaneous Unlimited access to an expert financial advisory Explore Sardine's perks and benefits Founders Zahid Shaikh Co-Founder San Francisco View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Voicera.io Believe what you hear. 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FlowLinker Actively Hiring Operating system for defining customer solutions in manufacturing Save Apply Now Founding AI Engineer $125k – $150k CAD • 0.5% – 1.5% | Remote ( Canada ) |Full Time Posted: 1 week ago• Recruiter recently active Hires remotely in Canada Remote Work Policy Remote only Company Location Montreal Visa Sponsorship Not Available Preferred Timezones Pacific Time, Central Time, Eastern Time Relocation Not Allowed Skills Node.js Ontology Redis AI TypeScript DataDog Serverless BullMq Retrieval-Augmented Generation (RAG) About the job We’re Hiring: Founding AI Engineer Location: Remote within Canada ONLY Compensation: Competitive salary and equity package FlowLinker is building the intelligence layer industrial automation companies use to define customer solutions before they reach CRM, CPQ, engineering, or delivery. Industrial sales and engineering teams make complex decisions based on incomplete conversations, scattered documents, technical constraints, product knowledge, and years of accumulated experience. Too often, this knowledge is lost between opportunities or remains concentrated in the minds of a few experienced employees. FlowLinker captures that knowledge, structures it, validates it against company-specific rules, and resurfaces it when teams need to make their next technical or commercial decision. We are backed by Antler Canada and have access to more than $5 million in technology credits from leading AI, cloud infrastructure, developer-tooling, and enterprise software providers. This is not a chatbot or a thin RAG interface. We are building production AI systems that must interpret ambiguous industrial language, reason across structured and unstructured information, apply domain-specific policies, identify missing information, and produce outputs that teams can confidently use. We are looking for a Founding AI Engineer to help build, scale, and shape the technical direction of these systems. What you will work on You will work closely with the founders and engineering team to: Design and build production AI capabilities across the workflows FlowLinker delivers to its customers Develop systems combining LLMs, retrieval, structured knowledge, schemas, policy rules, and deterministic validation Improve entity extraction, requirement classification, product matching, contextual reasoning, and multi-step decision workflows Build evaluation systems to measure accuracy, consistency, hallucination risk, and knowledge drift Design pipelines for meeting transcripts, technical documents, product catalogs, customer requirements, and company-specific knowledge Improve the latency, reliability, observability, scalability, and cost of our AI infrastructure Take ownership of capabilities from early experimentation through production deployment and customer adoption Contribute directly to our technical architecture, engineering standards, and long-term AI strategy What we are looking for You may be a strong fit if you have: Experience building and deploying AI or machine-learning products in production Strong Node.js, TypeScript, and software-engineering fundamentals Hands-on experience with LLM APIs, retrieval systems, embeddings, structured outputs, tool use, and evaluation Experience turning ambiguous product and customer requirements into reliable technical systems A strong understanding of where probabilistic models should—and should not—be trusted The ability to work across AI experimentation, backend engineering, data pipelines, infrastructure, and product delivery High ownership, strong technical judgment, and comfort operating in an early-stage company The ability to move quickly without sacrificing reliability or engineering discipline Experience with knowledge graphs, ontology design, search infrastructure, agentic workflows, industrial automation, manufacturing, robotics, or technical sales is valuable, but not required. What matters most We are not looking for someone whose experience stops at prompting models or connecting an LLM to a vector database. We want someone who cares about whether a system: Reaches the correct interpretation Applies the right technical and organizational context Identifies what remains unknown Produces traceable and defensible outputs Behaves reliably inside real customer workflows You should be comfortable challenging assumptions—including ours—and selecting the simplest architecture capable of meeting the required level of accuracy and reliability. The environment You will build with a modern, production-grade AI stack and have access to more than $5 million in cloud infrastructure, AI, developer-tooling, and enterprise software credits. This gives our engineering team the freedom to experiment with frontier models, infrastructure, and emerging technologies while still holding every system to production standards for reliability, security, latency, scalability, and cost. How we work This is not a conventional 9-to-5 role. We are an early-stage company building a technically ambitious product for demanding industrial customers. This role requires substantial ownership, urgency, flexibility, and personal accountability. There will be periods of intense execution around product releases, customer deployments, and major technical milestones. We care about outcomes rather than rigid working hours, but anyone joining at this stage must understand the level of commitment required. In return, you will have meaningful influence over: The core AI architecture Product and technical strategy Engineering practices and culture The continued development of the AI team How applied AI is deployed within a complex and underserved industry You will work directly on foundational technology, collaborate closely with customers, and see your work move rapidly from technical design into real operational use. This is a high-ownership role for someone who wants to solve difficult applied-AI problems and help define how engineering knowledge is captured, validated, and reused across an organization. Interested? Send us a brief introduction, examples of AI systems you have built, and a clear explanation of what you personally owned—from technical design through production deployment. Apply Now About the company FlowLinker Actively Hiring Operating system for defining customer solutions in manufacturing 1-10 Employees Montreal 1-10 SaaS Artificial Intelligence Software Software Engineering Learn more about FlowLinker Founders Francis Lavallee Founder Canada View the team Similar Jobs Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply LCA From AI to addictive apps, we design products for the future Full Stack Software Developer $60k – $85k • No equity Apply KixCare Canada’s only national, bilingual virtual healthcare platform dedicated to kids & teens Founding Engineer $170k – $220k CAD • 0.5% – 2.0% Apply HRVST We’re a creative agency using small shop smarts to drive big business growth on Shopify Developer $65k – $80k CAD • No equity Apply AltConvey AltConvey offers AI native platform to streamline workflows in private equity secondaries markets Full Stack Developer $65k – $100k CAD • 0.25% – 3.0% Apply GAIN Fitness Intelligent Workout Apps Sr. Backend Engineer (TypeScript / Node.js) $100k – $180k • 0.5% – 5.0% Apply Davidson Canada Consultant informatique $73k – $74k CAD • No equity Apply Davidson Canada Consultant informatique en développement web $65k – $66k CAD • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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ElementSkill Save Apply Now Forward Deployed AI Engineer $110k – $160k | Remote ( United States ) |5 years of exp |Full Time Posted: 3 months ago Hires remotely in United States Remote Work Policy Remote only Company Location Pune Visa Sponsorship Not Available Preferred Timezones Eastern Time Relocation Not Allowed Skills Machine Learning Fullstack Development MLOps LLMs Retrieval-Augmented Generation (RAG) RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB About the job Location: Remote (with approximately 25% travel) | Reports to: Global AI Center of Excellence Lead Role Overview We are looking for a Forward Deployed AI Engineer to join our AI team and partner directly with enterprise clients to deploy, configure, and operationalize AI-driven workflow solutions. This is a high-impact, client-facing engineering role that bridges technical implementation and strategic solution delivery. You will collaborate with business consultants, product engineers, and customer stakeholders to turn real-world operational challenges into production-ready AI solutions — including agentic workflows, intelligent automations, and enterprise integrations. In parallel, you will contribute to the evolution of internal AI platforms, accelerators, and reusable intellectual property. This role calls for strong full-stack engineering skills, a genuine curiosity for emerging AI technologies, and the ability to deliver results in fast-paced customer environments. Key Responsibilities Client Delivery & AI Solution Implementation • Deploy and configure agentic AI workflows and intelligent automations within enterprise client environments. • Translate business requirements into technical architectures and actionable implementation plans. • Implement and integrate pre-built AI solution packs into enterprise ecosystems. • Work closely with clients to tailor AI capabilities to their specific operational workflows and business processes. Solution Engineering & Prototyping • Build demos, prototypes, and proof-of-concept solutions to validate AI-driven use cases with clients. • Rapidly iterate on solutions to refine and improve AI-powered workflows. • Support the implementation of AI orchestration, LLM integrations, and agentic decision-making models. Full-Stack Engineering & Integration • Develop integrations between enterprise platforms, APIs, and AI services. • Build supporting components including scripts, microservices, automation logic, and integration services. • Connect AI platforms with enterprise data sources to enable intelligent, data-driven workflows. Platform & Product Contribution Actively contribute to the development of internal AI platforms and reusable solution assets, including: • Identifying recurring patterns and capabilities discovered during client engagements. • Contributing reusable components and automation assets to the shared platform. • Providing structured product feedback that drives platform improvements. • Helping transform successful client implementations into repeatable, scalable features. Client Interaction & Technical Consulting • Participate in workshops, discovery sessions, and technical working sessions with customers. • Serve as the engineering counterpart to consulting and delivery teams. • Communicate architecture decisions, system behavior, and technical trade-offs clearly to both technical and business stakeholders. Systems Integration & Reliability • Diagnose and resolve issues across AI workflows, integrations, and automation pipelines. • Ensure deployed solutions are secure, scalable, and production-ready. • Optimize systems for performance, reliability, and long-term maintainability. Cross-Team Collaboration Work closely with cross-functional teams including: • Business Process Consultants • Product Engineering • Data Engineers • AI/ML Engineers • AI Center of Excellence teams Contribute to internal playbooks, deployment patterns, and product evolution. What Success Looks Like (First 6 Months) • Successfully deploy AI-powered solutions across multiple client engagements. • Deliver functioning AI workflows and integrations within enterprise environments. • Build trusted, collaborative relationships with both customer teams and internal delivery stakeholders. • Contribute reusable components and meaningful improvements to internal AI platforms. • Provide actionable feedback that enhances platform capabilities and accelerates delivery. Required Qualifications • 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems. • Strong engineering foundation with hands-on experience in full-stack development, scripting, or enterprise integrations. • Demonstrated experience working with AI/LLM technologies or AI-powered applications. • Prior experience in client-facing engineering or technical consulting roles. • Familiarity with cloud platforms such as AWS, Azure, or GCP. • Proficiency in JavaScript/TypeScript, Python, or similar scripting languages. • Strong communication skills — able to convey complex technical concepts to both technical and non-technical audiences. Preferred Qualifications Enterprise Workflow Platform Experience • Experience with workflow automation platforms (e.g., ServiceNow or similar). • Familiarity with platform scripting, APIs, and development patterns. • Understanding of enterprise data models including configuration management, workflow/task management, knowledge bases, and system integrations. AI & Platform Experience • Experience building AI prototypes, RAG (Retrieval-Augmented Generation) systems, or agent-based workflows. • Experience integrating LLM APIs or AI services into enterprise applications. • Familiarity with vector databases, embeddings, or semantic retrieval. • Track record of contributing to internal platforms, reusable accelerators, or shared product capabilities. Why This Role Matters Forward Deployed AI Engineers serve as the critical link between enterprise business challenges and cutting-edge AI platforms. By working hands-on with customers, you will create immediate, tangible value — while also shaping the future direction of our AI products, accelerators, and platform capabilities. This role is central to our AI strategy and the scaling of our AI platform and Foundry operations. We are proud to be an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace. Employment decisions are made without regard to race, gender, religion, age, disability, national origin, sexual orientation, or any other protected status. Apply Now About the company ElementSkill 1001-5000 Employees Pune 1001-5000 HR / Recruiting Learn more about ElementSkill Similar Jobs Dreamers Specializing in building technological solutions for complex problems Senior WordPress & Open-Source CMS Lead $149k – $229k • No equity Apply Shef Authentic dishes. Homemade. Delivered. 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SKM Group Actively Hiring Programming with success in mind Top 1% of responders Responds within a day Early Stage Save Apply Now Senior AI Engineer [cd300] €54k – €120k • No equity | Remote ( Estonia • Europe +40 ) |5 years of exp |Full Time Reposted: 2 months ago• Recruiter recently active Hires remotely in Estonia - Europe - Israel - Spain - Turkey - Germany - France - Luxembourg - Lithuania - Switzerland - United Kingdom - Romania - Ireland - Poland - Denmark - Sweden - Czech Republic - Belgium - Norway - Netherlands - Italy - Hungary - Serbia - Bulgaria - Greece - Malta - Finland - Portugal - Croatia - Austria - Armenia - Slovenia - Latvia - Slovakia - Georgia - Bosnia and Herzegovina - Macedonia (FYROM) - Moldova - Albania - Azerbaijan - Montenegro - Kosovo Remote Work Policy Remote only Company Location Germany • Poland Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 10:00 AM - 6:00 PM Central European Time Relocation Not Allowed Skills Python Machine Learning Data Science Python FastAPI Generative AI GenAI Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB About the job We are seeking a highly skilled Senior AI Engineer to design, build, and deploy production-ready AI solutions powered by modern LLM and retrieval architectures This role combines strong Python engineering expertise with hands-on experience in GenAI frameworks, vector databases, and cloud-native deployment. You will work on scalable AI systems that integrate advanced retrieval, agentic workflows, and enterprise-grade backend services. Key Responsibilities Design and implement AI-powered backend services using Python and FastAPI Build and optimize Retrieval-Augmented Generation (RAG) pipelines Develop and refine advanced prompt engineering strategies Integrate and manage vector databases and embedding models Develop multi-step and graph-based workflows using LangChain and LangGraph Implement AI service communication patterns using FastMCP Work with multi-agent frameworks (e.g., CrewAI, Autogen, Taskweave) where applicable Deploy and maintain solutions on Azure Cloud, including Azure Functions Process, clean, and transform large datasets using Pandas and NumPy Implement CI/CD pipelines, testing strategies, and containerized deployments (Docker) Ensure responsible AI practices, including bias mitigation and ethical considerations Collaborate with product, engineering, and data teams to translate business needs into scalable AI systems Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or related field Strong Python software engineering expertise Hands-on experience with: FastAPI Pandas & NumPy Retrieval-Augmented Generation (RAG) Prompt engineering Vector databases and embeddings LangChain and LangGraph FastMCP Experience working with Azure cloud services (Azure Functions required) Experience with version control, unit testing, CI/CD, packaging, and Docker Ability to work with large datasets and implement data transformations Strong analytical and problem-solving skills Excellent communication skills Nice to Have Experience with multi-agent frameworks (CrewAI, Autogen, Taskweave) Familiarity with additional cloud platforms and AI services Understanding of data engineering (pipelines, integration, warehousing) Knowledge of AI ethics and responsible AI practices Why Join Us Work in a modern software development company with international clients Be part of a collaborative, supportive team Learn how tech recruitment works end-to-end Flexible working model and long-term growth opportunities Company apartments in cool cities across Europe: work and enjoy a memorable getaway About Us We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here. Apply Now About the company SKM Group Actively Hiring Programming with success in mind 51-200 Employees Germany 51-200 Enterprise Software Company Software Development Enterprise Software E-Commerce Manufacturing Automotive Artificial Intelligence Industrial Automation Software Logistics Finance Technology Top 1% of responders Responds within a day Early Stage Learn more about SKM Group Perks Work-from-home-friendly We offer remote or hybrid work models with a flexible balance between office and home Bring your pet to our office We have a spacious office in a great location where you can bring your pet Work with experienced developers, training on us You will work with experienced developers, specialist training paid by us Explore SKM Group's perks and benefits Founders Stefan S Founder Kraków County View the team Similar Jobs n-fuse We facilitate Digital Transformation JavaScript/ TypeScript Developer €30k – €75k Apply n-fuse We facilitate Digital Transformation Electronics Engineer for IoT Devices $45k – $78k • No equity Apply epilot the platform to simplify your business Senior/Staff Product Engineer (Full Stack) (m/f/d) €60k – €100k • No equity Apply Modash.io We help e-com brands scale creator partnerships - helping millions of creators get paid Senior Product Engineer (remote, Europe) €60k – €100k Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business Lead ML Engineer $90k – $120k Apply KTC-Karlsruhe Technology Consulting ? KTC is hiring IT professionals for Business Central and Power Plattform! Join our team! ? 📢 Business Central AL Developer (Contract) – Power Platform & JavaScript Expertise Wanted! $20k – $25k • No equity Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply Moss All your company spend, one powerful platform Backend Engineer (f/m/d) €100k – €200k Apply dresslife Dresslife provides fashion specific 1-to-1 personalization with exceptional accuracy Full Stack Developer $55k – $73k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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SKM Group Actively Hiring Programming with success in mind Top 1% of responders Responds within a day Early Stage Save Apply Now Lead AI Engineer [3d2m3] €54k – €120k • No equity | Remote ( Estonia • Europe +40 ) |5 years of exp |Full Time Reposted: 2 months ago• Recruiter recently active Hires remotely in Estonia - Europe - Israel - Spain - Turkey - Germany - France - Lithuania - Switzerland - United Kingdom - Romania - Ireland - Denmark - Sweden - Czech Republic - Belgium - Norway - Egypt - Netherlands - Italy - Hungary - Serbia - Bulgaria - Greece - Finland - Portugal - Tunisia - Croatia - Austria - Armenia - Slovenia - Latvia - Cyprus - Slovakia - Georgia - Bosnia and Herzegovina - Macedonia (FYROM) - Morocco - Albania - Algeria - Montenegro - Kosovo Remote Work Policy Remote only Company Location Germany • Poland Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 10:00 AM - 6:00 PM Central European Time Relocation Not Allowed Skills Python AI Azure Microsoft Azure Machine Learning Data Science Python Prompt Engineering Generative AI Vector Databases Retrieval-Augmented Generation (RAG) CrewAI LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB Vector Databases (Pinecone Serverless, Qdrant, FAISS, ChromaDB) Hugging Face Transformers, LangChain, AutoGen, CrewAI, Diffusers, OpenAI API, DALL·E, FastMCP Agentic AI/CrewAI/MCP/LLM Integration About the job We’re looking for a Lead AI Engineer to join a team developing an AI-driven Contact Center Diagnostic solution. You’ll work on a modern, scalable stack with a strong emphasis on AI integration, performance, and strategic technical leadership. This project focuses on leveraging AI for enhanced contact center diagnostics, including GPT-based summarization for rapid insight generation, AI augmentation for benchmarking and performance analysis, and automated report generation to streamline operations and deliver significant ROI. About the Role As a Lead AI Engineer, you will define the technical direction, mentor junior engineers, and drive the implementation of advanced AI solutions. You will play a crucial role in integrating cutting-based AI technologies to solve complex business challenges within a dynamic team environment. Tech Stack Core Stack: Python, LangChain, LangGraph AI & Machine Learning: RAG, FastMCP, Prompt Engineering, Vector Databases, Embedding Models, Multi-agent libraries (CrewAI, Autogen, Taskweave) Cloud & Tools: Azure, Docker, CRM (Salesforce, Microsoft Dynamics), Data engineering concepts, other Cloud platforms What You’ll Do Lead the design and implementation of AI-driven solutions for contact center diagnostics and efficiency, ensuring high performance and scalability. Mentor team members, conduct technical reviews, and elevate the overall engineering quality and practices. Drive the integration of advanced AI capabilities, including RAG, Prompt Engineering, and Embedding Models, leveraging tools like LangChain and LangGraph. Architect and manage solutions on Azure, utilizing services such as Azure Functions, ensuring robust data pipelines and efficient deployment with Docker. Collaborate with cross-functional teams to translate complex business requirements into technical specifications and deliver innovative AI solutions. Contribute to the strategic vision for AI development, staying abreast of emerging technologies and best practices in the field. Requirements 8+ years of professional experience in software engineering, applied data/AI engineering, or a related field. Proven experience in a lead role, including technical ownership, mentoring, or leading initiatives/teams. Extensive hands-on experience with Python, LangChain, LangGraph, RAG, FastMCP, Prompt Engineering, Vector Databases, and Embedding Models. Proficiency with Azure cloud services and Docker for deployment and containerization. Experience with multi-agent libraries like CrewAI, Autogen, and Taskweave is a plus. Strong understanding of data engineering concepts, including data pipelines, integration, and warehousing. What do we offer you? Attractive salary Large freedom and real influence No unhealthy competition, team approach to meeting challenges Remote-first, flexible working culture Company apartments in cool cities across Europe: work and enjoy a memorable getaway About Us We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here. Apply Now About the company SKM Group Actively Hiring Programming with success in mind 51-200 Employees Germany 51-200 Enterprise Software Company Software Development Enterprise Software E-Commerce Manufacturing Automotive Artificial Intelligence Industrial Automation Software Logistics Finance Technology Top 1% of responders Responds within a day Early Stage Learn more about SKM Group Perks Work-from-home-friendly We offer remote or hybrid work models with a flexible balance between office and home Bring your pet to our office We have a spacious office in a great location where you can bring your pet Work with experienced developers, training on us You will work with experienced developers, specialist training paid by us Explore SKM Group's perks and benefits Founders Stefan S Founder Kraków County View the team Similar Jobs n-fuse We facilitate Digital Transformation JavaScript/ TypeScript Developer €30k – €75k Apply epilot the platform to simplify your business Senior/Staff Product Engineer (Full Stack) (m/f/d) €60k – €100k • No equity Apply Modash.io We help e-com brands scale creator partnerships - helping millions of creators get paid Senior Product Engineer (remote, Europe) €60k – €100k Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business Lead ML Engineer $90k – $120k Apply KTC-Karlsruhe Technology Consulting ? KTC is hiring IT professionals for Business Central and Power Plattform! Join our team! ? 📢 Business Central AL Developer (Contract) – Power Platform & JavaScript Expertise Wanted! $20k – $25k • No equity Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply Moss All your company spend, one powerful platform Backend Engineer (f/m/d) €100k – €200k Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Paires Actively Hiring AI-powered platform matching breakout founders with the right investors Growing fast Save Apply Now Founding AI Engineer $230k – $370k CAD | Remote ( Everywhere ) • Canada |Full Time Reposted: 1 month ago Job Location Canada Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed About the job We are hiring our Founding AI Engineer to own the agent layer of an AI-first fundraising platform: the conversational agents that run our warm outreach and investor relationships, and the matching engine behind them. Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings. It is a two-sided platform, a product for founders and a living network on the investor side, not one-way matching. We are live with paying clients, profitable and self-funded, and we run as a small, senior, flat team that ships fast. The role You own our core: the agent system that runs the product - agents that research investors, draft outreach that reads human, and carry investor conversations end to end - plus the matching engine that pairs founders with investors behind them. You build it, you scale it, and you run it. This is the most important surface in the product, and it is yours. What you will own The agent layer: one orchestrator routing work to specialist agents. Those agents research investors, draft outreach that reads human, and carry investor conversations end to end. Evals gate what they are allowed to do alone. This is where you start. The matching engine behind it: embeddings, ranking, scoring, and the feedback loop that makes matches sharper over time. The backend and data behind it all: Python, Postgres, Supabase, AWS, clean pipelines. The agent layer is built on the Claude Agent SDK and Pydantic AI. Shipping to production end to end, and the judgment to know what to build next as we scale. You are a fit if you Have been one of the first engineers at a quick-growing company, running the show: you know what it takes to scale and deliver a product, not just manage it. Have at least 3 years of shipping production software behind you, and have taken a full app from zero to production and kept it running, end to end. This seat needs a whole-product builder, not only a model specialist. Have shipped LLM systems to production and have real examples you can walk us through, including an agent system that is more than a single prompt in a loop. Have built retrieval, ranking, or matching with embeddings in production. Write strong Python and reason clearly about data and systems. Design evals, because you care whether the output is actually good. Own outcomes end to end and move fast with AI tooling. You write the code yourself: this is a builder seat, not a management seat. There is no team to hand work to. Bonus: TypeScript in production, FastAPI, vector databases, fintech or fundraising. What we offer Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, paid (Claude Code, Cursor, top models). Real ownership of the core product, with equity potential for the right person. How to apply: hit apply, which takes you to our short application form. We read every application. Apply Now About the company Paires Actively Hiring AI-powered platform matching breakout founders with the right investors 11-50 Employees San Francisco 11-50 Artificial Intelligence Venture Capital B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Growing fast Learn more about Paires Founders Jamal Chraibi Founder View the team Similar Jobs Softdrive Building the Future of Computing C++ Software Engineer - Remote Desktop Software $100k – $155k CAD • 0.01% – 0.3% Apply Feathery AI-powered data intake for financial services Frontend Engineer $70k – $100k CAD • 0.02% – 0.1% Apply Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Software Engineer $75k – $150k CAD • 0.0% – 0.1% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply BrainStation Digital skills training for the future of work Software Developer (Entry Level) $85k – $95k Apply Phoenix (YC W21) Canada's Digital Health Platform for Men Senior Frontend Developer (React) $125k – $150k CAD Apply Hiive The marketplace for private stock. 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Paires Actively Hiring AI-powered platform matching breakout founders with the right investors Growing fast Save Apply Now Applied AI Engineer $200k – $330k CAD | Remote ( Everywhere ) • Canada |Full Time Reposted: 1 month ago Job Location Canada Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed About the job We are hiring an Applied AI Engineer to own the conversation layer of an AI-first fundraising platform: the agents that handle every reply, carry conversations through to booked meetings, and look after every relationship across our warm outreach, our investor network, and investor relations. Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast. The role You own how Paires converses: every reply handled well and in time, booking, nurture, and the coaching experiences we are building on the same data. It starts as our reply and messaging system and grows into a core part of the product. You will also build broader applied-AI features across the platform. What this seat is not: a research seat. An internal knowledge bot or a RAG demo is not the bar. We want people whose systems hold real conversations with real people outside their team, day after day. Cold outreach from nothing is a different seat too - here the conversations already exist, and your agents carry them. What you will own Agents that read inbound messages and draft the right reply, fast, with a human in the loop. The messaging layer across our warm outreach, our warm investor network, and investor relations, not just one inbox. Conversational agents end to end: replies, booking, nurture, and support that reads human. The eval spine that gates quality: golden sets, judges, and the guardrails that hold as the conversations grow. Broader applied-AI features: classification, extraction, routing, summarization. You are a fit if you Ship conversational LLM systems to production with real users: reply handling, support, booking, or nurture agents. Inbound work counts fully here. Have built evals yourself: golden sets from scratch, judge criteria, ship or rollback decisions made on the numbers. Have integrated LLMs with email, CRM, or messaging systems. Think like an operator, and know the business goal behind the message. Are an engineer first. We run roughly 80/20 engineering to research. Move fast with AI tooling and own outcomes. Our stack: Python, Supabase, Pydantic AI, Claude Agent SDK, AWS. If you have shipped on any of it, lead with that. Bonus: email and CRM integrations, RevOps exposure, sales or IR experience. What we offer Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, paid (Claude Code, Cursor, top models). How to apply: hit apply, which takes you to our short application form. We read every application. Apply Now About the company Paires Actively Hiring AI-powered platform matching breakout founders with the right investors 11-50 Employees San Francisco 11-50 Artificial Intelligence Venture Capital B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Growing fast Learn more about Paires Founders Jamal Chraibi Founder View the team Similar Jobs Softdrive Building the Future of Computing C++ Software Engineer - Remote Desktop Software $100k – $155k CAD • 0.01% – 0.3% Apply Feathery AI-powered data intake for financial services Frontend Engineer $70k – $100k CAD • 0.02% – 0.1% Apply Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Software Engineer $75k – $150k CAD • 0.0% – 0.1% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply BrainStation Digital skills training for the future of work Software Developer (Entry Level) $85k – $95k Apply Hiive The marketplace for private stock. Trade unicorns online Principal Product Engineer $200k – $385k CAD Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Makai Labs Actively Hiring AI-powered process automation solutions for businesses Save Apply Now AI Engineer $115k – $130k | Remote ( United States ) • New York |Contract Posted: 1 month ago Job Location New York Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed About the job AI Engineer Who we are Makai Labs builds software that automates entire companies. We work across a diversified portfolio, which means our systems touch a wide range of domains, processes, and operational constraints. Our engineering team is small, senior, and high-output. We move fast, hold high standards, and trust each other to take ownership without being managed. What we're looking for Makai Labs is hiring a AI Engineer to help build AI systems for enterprise automation. This is a hands-on builder role where you’ll work closely with our engineering and design teams to prototype, ship, and improve AI-powered products and internal tools. You’ll have the opportunity to own smaller projects end to end while contributing to larger client and platform initiatives. Responsibilities will include Build and improve AI-powered applications and internal tools Rapidly prototype, experiment, and iterate across client and internal projects Implement workflows that use LLMs, retrieval systems, agents, and structured outputs Contribute to shared platform work and reusable tooling Turn prototypes into reliable, client-ready systems Conduct research, benchmarking, testing, and evaluation of new approaches Own smaller projects or sub-projects with guidance from the team Take ownership of deliverables and help deliver work that meets client needs Write and maintain clear internal documentation Ideal Experience Senior in college, recent graduate, or early-career engineer Background in computer science (bonus if you also have business exposure) Experience building AI applications through internships, coursework, research, or personal projects Experience running AI experiments and iterating quickly Strong Python skills What we value Initiative and willingness to learn quickly on the job Bias toward action and comfort with fast iteration Interest in staying current with AI advancements and applying them in practical systems Wants to solve hard problems Nice To Haves Experience with APIs, backend services, or workflow automation Familiarity with FastAPI, Flask, or similar backend frameworks Familiarity with React and TypeScript Familiarity with Docker and local development environments Familiarity with testing in Python or TypeScript Experience working with retrieval systems, embeddings, or search Experience working with OCR, document processing, or PDF workflows Experience with fine-tuning, benchmarking, or serving LLMs Experience in fast-paced, high-accountability team settings Core values for Makai employees Have a strong work ethic Be self-sufficient and self-driven with an ownership mentality, no matter your role Be a flexible thinker Be congenial and a team player Always be of service to each other and our clients, partners, and neighbors Benefits Fully remote role, Eastern time zone Opportunities to work in-person with local colleagues Generous PTO Full health insurance premium reimbursement 401(k) matching Career growth & development opportunities Apply Now About the company Makai Labs Actively Hiring AI-powered process automation solutions for businesses 11-50 Employees New York City 11-50 SaaS B2B Developer Tools Learn more about Makai Labs Similar Jobs Coast Coast is re-imagining B2B payments, beginning with fleet and fuel Full-Stack Engineer / Senior Full-Stack Engineer $160k – $215k Apply Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Shef Authentic dishes. 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Teleskope Actively Hiring Developer First Data Security Platform B2B Early Stage Save Apply Now Machine Learning Engineer $160k – $210k | Remote ( United States ) • New York |Full Time Posted: 7 months ago Job Location New York Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job About Teleskope Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption. Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit. About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity classification pipelines across varied data sources (text, documents, relational data, OCR, etc.). This role will bridge research experimentation and production implementation, helping evolve our current pipelines and advance toward our next generation element classification system. This is a hybrid role requiring 3+ days in-office in New York City. What You'll Do: Lead a team responsible for building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types. Partner with both analytics and ML-focused data scientists to translate experiments into deployed systems and unblock technical bottlenecks. Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC. Drive incremental improvements to classification models and pipelines with a focus on measurable impact. Advocate for and implement best practices around model deployment, versioning, and operational monitoring. About you: 4+ years of experience building and deploying ML systems in production. Strong experience with NLP systems and supervised entity classification models. Comfort moving from research prototypes to CI/CD and production pipelines. Proficiency in Python with common ML tooling. Strong analytical instincts and problem solving under ambiguity. Collaborative communicator who can partner across data science and engineering functions. What you'll get: A high-impact role at an early-stage startup in a fast-growing market. Ownership over ML systems that directly power every customer workflow on the platform. An opportunity to contribute to core ML systems that power our classification service. A beautiful, well-stocked office in NYC’s Financial District. Flexible vacation and work from home days. Competitive salary and meaningful equity. Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope. What We Value: At Teleskope, we value strong engineers who build real systems. We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real-world security and privacy outcomes. Apply Now About the company Teleskope Actively Hiring Developer First Data Security Platform 11-50 Employees New York City 11-50 Startup Security Data Security Privacy Cyber Security B2B Early Stage Employees joined from Salesforce Airbnb PwC River Imagine Communications Learn more about Teleskope Founders Elizabeth Nammour Founder New York City View the team Similar Jobs Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply Coast Coast is re-imagining B2B payments, beginning with fleet and fuel Full-Stack Engineer / Senior Full-Stack Engineer $160k – $215k Apply Shef Authentic dishes. Homemade. Delivered. Explore who's cooking in your neighborhood Senior Software Engineer - Full Stack $150k – $170k Apply Scale AI Accelerate the development of AI applications Software Engineer, Public Sector $180k – $225k Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Trunk Tools #AutomatingConstruction Senior Full Stack Engineer $166k – $215k • 0.0% – 1.0% Apply DriveWealth The Modern Brokerage Platform Principal Software Development Engineer, Execution Services $250k – $270k Apply Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, Growth & KYB Team $180k – $295k Apply Brellium Clinical teams use Brellium to ensure patient visits meet payor & clinical standards Software Engineer $125k – $185k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Sardine Actively Hiring On a mission to make payments instant, global, and risk-free B2B Growth Stage Top Investors +2 Save Apply Now Machine Learning Engineer $175k – $220k | Remote ( Canada +1 ) • United States |Full Time Posted: 10 months ago Job Location United States Hires remotely in Canada - United States Visa Sponsorship Not Available Relocation Allowed Hiring contact Elaine Voronin Employee About the job Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - United States or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the role: As a Machine Learning Engineer at Sardine, you'll own the systems that make real-time fraud detection possible. Our data science team builds custom models for our clients, you build and run the platform they deploy onto, and the low-latency serving path those models score on. Sardine scores millions of sessions in real time from hundreds of device and behavioural signals, inside a sub-250ms budget. That constraint shapes everything: how features are computed and served, how models are deployed and rolled back, how quickly you know when something has degraded. You'll be the person who figures out why a model broke. What you'll be doing: Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both Build the deployment path our data scientists use to ship models themselves, including bring-your-own-model support for clients hosting their own Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation Build and optimise the pipelines that turn raw device and behavioural signals into production-ready features Work across Python and our Go backend to keep inference fast inside the request path Build models yourself where it makes sense, roughly 20% of the role, and more if you want it Champion testing, observability, security and compliance in a regulated environment What you'll need Experience building, not just using, model serving infrastructure. Production ownership of ML systems: you've been paged when something broke, you found out why, and you changed something so it didn't happen again. Strong Python, and solid software engineering fundamentals, testing, code review, CI/CD, the discipline that makes a platform other people can rely on. Comfort with Kubernetes, containers and a major cloud (we're mostly GCP), plus infrastructure-as-code. Enough understanding of models to debug them. You don't need to have trained one recently, but when precision drops you should know the difference between a data problem, a feature pipeline problem, and a model problem Experience building tooling other engineers or data scientists actually use, and the judgement to know what should be self-serve and what shouldn't. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice. Apply Now About the company Sardine Actively Hiring On a mission to make payments instant, global, and risk-free 51-200 Employees Austin 51-200 Information Technology Financial Services Payments Finance Fraud Detection Risk Management Finance Technology Cryptocurrency Blockchain / Cryptocurrency NFT B2B Growth Stage Top Investors Valuation $500M+ Growing fast Learn more about Sardine Funding AMOUNT RAISED $51.5M FUNDED OVER 1 round Round B $51500000 Series B - Sep 2022 View Sardine's funding history Perks Healthcare benefits 100% of health insurance, dental, and vision coverage for employees and 60% for dependents - For US only 401k 4% matching in 401k - For US only Equity benefits Early exercise for all options, including pre-vested Generous vacation Uncapped paid time off Company meals Monthly meal stipend Wellness benefits Monthly health and wellness stipend Miscellaneous Unlimited access to an expert financial advisory Explore Sardine's perks and benefits Founders Zahid Shaikh Co-Founder San Francisco View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Director of Data Science $145k – $160k • 2.0% – 3.0% Apply Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Voicera.io Believe what you hear. Trust what you see Chief AI & co-Founder $1k – $1k • 4.0% – 6.0% Apply Wynd Labs Making AI Data Accessible. 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Sardine Actively Hiring On a mission to make payments instant, global, and risk-free B2B Growth Stage Top Investors +2 Save Apply Now Machine Learning Engineer $175k – $220k | Remote ( Canada +1 ) • United States |Full Time Posted: 10 months ago Job Location United States Hires remotely in Canada - United States Visa Sponsorship Not Available Relocation Allowed Hiring contact Elaine Voronin Employee About the job Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - United States or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the role: As a Machine Learning Engineer at Sardine, you'll own the systems that make real-time fraud detection possible. Our data science team builds custom models for our clients, you build and run the platform they deploy onto, and the low-latency serving path those models score on. Sardine scores millions of sessions in real time from hundreds of device and behavioural signals, inside a sub-250ms budget. That constraint shapes everything: how features are computed and served, how models are deployed and rolled back, how quickly you know when something has degraded. You'll be the person who figures out why a model broke. What you'll be doing: Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both Build the deployment path our data scientists use to ship models themselves, including bring-your-own-model support for clients hosting their own Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation Build and optimise the pipelines that turn raw device and behavioural signals into production-ready features Work across Python and our Go backend to keep inference fast inside the request path Build models yourself where it makes sense, roughly 20% of the role, and more if you want it Champion testing, observability, security and compliance in a regulated environment What you'll need Experience building, not just using, model serving infrastructure. Production ownership of ML systems: you've been paged when something broke, you found out why, and you changed something so it didn't happen again. Strong Python, and solid software engineering fundamentals, testing, code review, CI/CD, the discipline that makes a platform other people can rely on. Comfort with Kubernetes, containers and a major cloud (we're mostly GCP), plus infrastructure-as-code. Enough understanding of models to debug them. You don't need to have trained one recently, but when precision drops you should know the difference between a data problem, a feature pipeline problem, and a model problem Experience building tooling other engineers or data scientists actually use, and the judgement to know what should be self-serve and what shouldn't. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice. Apply Now About the company Sardine Actively Hiring On a mission to make payments instant, global, and risk-free 51-200 Employees Austin 51-200 Information Technology Financial Services Payments Finance Fraud Detection Risk Management Finance Technology Cryptocurrency Blockchain / Cryptocurrency NFT B2B Growth Stage Top Investors Valuation $500M+ Growing fast Learn more about Sardine Funding AMOUNT RAISED $51.5M FUNDED OVER 1 round Round B $51500000 Series B - Sep 2022 View Sardine's funding history Perks Healthcare benefits 100% of health insurance, dental, and vision coverage for employees and 60% for dependents - For US only 401k 4% matching in 401k - For US only Equity benefits Early exercise for all options, including pre-vested Generous vacation Uncapped paid time off Company meals Monthly meal stipend Wellness benefits Monthly health and wellness stipend Miscellaneous Unlimited access to an expert financial advisory Explore Sardine's perks and benefits Founders Zahid Shaikh Co-Founder San Francisco View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply Voicera.io Believe what you hear. Trust what you see Chief AI & co-Founder $1k – $1k • 4.0% – 6.0% Apply Wynd Labs Making AI Data Accessible. Building a suite of products powered by Grass Web Scraping Specialist $70k – $140k • No equity Apply Deepgram AI speech API for transcription with human-level understanding Research Staff, Voice AI Foundations $150k – $250k Apply Pave Pave delivers AI-powered Cashflow Analytics for consumers and SMB credit risk teams Data Scientist $170k – $250k • 0.1% – 0.5% Apply Scale AI Accelerate the development of AI applications Machine Learning Research Scientist, Post-Training $180k – $225k Apply TrialSpark Our mission is to bring new treatments to patients faster and more efficiently Senior Data Scientist $178k – $232k Apply Faire The future is local Senior Applied AI/ML Scientist - Retailer $211k – $291k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Allocate.co Actively Hiring Venture fund investment platform Top 10% of responders Responds within a few days Save Apply Now Machine Learning Engineer $165k – $185k | Remote ( United States ) • Palo Alto |Full Time Posted: 1 month ago• Recruiter recently active Job Location Palo Alto Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Lindsay Glogower Employee About the job About Allocate Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and other private asset classes—backed by powerful tracking, analytics, and administration tools. About the Role Allocate is looking to add an AI / Extraction Engineer to the team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future. Essential Responsibilities and Duties Build, train, and improve machine-learning models for production use. Develop evaluation and feedback loops that measurably improve model performance over time. Stand up the tooling to measure, monitor, and track model quality. Evaluate new models and techniques, and bring the best into production. Collaborate cross-functionally to ship ML-powered capabilities. Must Have Experience 4+ years of applied ML / LLM engineering in production, with strong Python. Experience taking models from prototype to reliable production systems. Hands-on model fine-tuning and rigorous evaluation discipline. Proficiency with Git and version control systems. Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge. Nice to Haves Applied NLP, computer vision, or multimodal models. MLOps and model-monitoring tooling. Background in fintech or financial data. Education Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. Essential Values & Culture Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners—extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications. Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion. Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve. Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas. Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right. Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better—especially around AI and automation—and drop outdated methods without hesitation. Additional Details Location: Fully Remote (all I-9 eligible candidates will be considered). Employment: Full-time. Seniority: Senior professional. Salary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus. Benefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO). Travel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role. Apply Now About the company Allocate.co Actively Hiring Venture fund investment platform 51-200 Employees Menlo Park 51-200 SaaS B2B Top 10% of responders Responds within a few days Learn more about Allocate.co Funding AMOUNT RAISED $30.5M FUNDED OVER 1 round Round B $30500000 Series B - Sep 2025 View Allocate.co's funding history Similar Jobs Mudflap Leading fintech innovation in trucking for independent owner operators & fleets Staff Data Engineer $175k – $215k Apply Mudflap Leading fintech innovation in trucking for independent owner operators & fleets Senior/Staff Data Scientist $185k – $250k Apply Fiddler AI Monitor, Explain, and Analyze your AI in production. Explainable AI Platform for the Enter Staff AI Scientist $175k – $260k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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mozee Inventing a new kind of freedom Early Stage Save Apply Now Machine Learning Engineer $125k – $170k | Remote ( United States ) • Texas |3 years of exp |Full Time Reposted: 3 years ago Job Location Texas Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed Skills Python TensorFlow PyTorch About the job The Role: ML is of critical importance to Mozee's mission. It is safer, makes our rides more enjoyable, and will ultimately deliver on the promise of self-driving robo taxis. As a member of Mozee's AI Simulation team, you will be in a unique position to accelerate the pace at which our AI improves over time. The main ways in which the simulation team realizes this include: Building tools that enable our software developers to perform virtual test drives instead of real ones. Testing all code changes and software releases for regressive behavior. Generating synthetic data sets and reinforcement learning pipelines for neural network training. As an Machine Learning Engineer at mozze, you will contribute to the development of mozze's simulation by enabling and accelerating the creation of photo realistic 3D scenes through neural rendering, neural animation, scene/object reconstruction. More broadly we are looking for experts in these fields: Neural rendering Neural animation Object reconstruction Environment reconstruction Scenario reconstruction Requirements: Expert level Python Skills The team operates in a production setting. An ideal candidate has strong software engineering practices and is very comfortable with Python programming, debugging/profiling, and version control. We train neural networks on a cluster in large-scale distributed settings. An ideal candidate is very comfortable in cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc). We are at the cutting edge of deep learning applications. The ideal candidate has a strong understanding of the under the hood fundamentals of deep learning (layer details, backpropagation, etc). Additional requirements include the ability to read and implement related academic literature and experience in applying state of the art deep learning models to computer vision (e.g. segmentation, detection) or a closely related area (speech, NLP). Experience with PyTorch, or at least another major deep learning framework such as TensorFlow, MXNet. Some experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment. About Mozee Mozee is on a mission to develop the first fully autonomous vehicle fleet and the ecosystem needed to bring this technology to market. As a company at the intersection of robotics, machine learning, and design, we aim to provide innovative mobility-as-a-service in urban environments. We are seeking top talent who are passionate about what we do and want to be part of a dynamic and highly-focused team. Apply Now About the company mozee Inventing a new kind of freedom 11-50 Employees Texas 11-50 Transportation Mobile Artificial Intelligence Transportation Software Engineering Artificial Intelligence / Machine Learning Early Stage Employees joined from Apple AeroVironment Total Safety ACCO Engineered Systems Airswift Learn more about mozee Funding AMOUNT RAISED $15M FUNDED OVER 1 round Round S $15000000 Seed - Mar 2023 View mozee's funding history Founders Shawn Taikratoke Founder Dallas View the team Similar Jobs Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Thoughtful AI AI-Powered Healthcare Administration, maximizing profitability and operational excellence Technical Program Manager $140k – $180k • 0.0% – 0.1% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply Vannevar Labs Defense for the digital domain Forward Deployed Engineer (TS/SCI Clearance Required) $135k – $205k Apply Trunk Tools #AutomatingConstruction Senior Full Stack Engineer $166k – $215k • 0.0% – 1.0% Apply swivl Self Storage Automation Platform Sr. Full Stack Engineer $155k – $205k • 0.0% – 1.0% Apply MindCloud MindCloud is a rapidly growing full service software integration startup Software Engineer - Integrations $15k – $20k • No equity Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Chattermill Scaling Customer Experience for the world's most exciting companies Growth Stage Save Apply Now Senior Machine Learning Engineer Remote ( United Kingdom ) • United Kingdom |Full Time Posted: 1 month ago Job Location United Kingdom Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Dmitry Isupov Founder London About the job Senior Machine Learning Engineer 🌍 UK or Poland (Remote or Hybrid, it’s up to you!) 💰 Dependent on experience 📈 Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service 📚 Annual Learning and Development budget, increasing with length of service 🤸🏽♂️ Flexible working in a choice-first environment - we trust the way you want to work! 🖥️ Work From Home Allowance 🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service 🎂 Your birthday off 🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan 🛟 Life & income protection (Location dependent) 🤝 Employee Assistance Programme (UK Only) 📈 The opportunity to share in the company’s success through options 🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 🦸♀️ The Role 🦸♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. 🧰 What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) 🔎 Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. 💖 Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈 We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch Apply Now About the company Chattermill Scaling Customer Experience for the world's most exciting companies 51-200 Employees London 51-200 SaaS SaaS Analytics Artificial Intelligence Text Analytics Surveys Customer Experience Artificial Intelligence / Machine Learning B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Growth Stage Employees joined from Insights by Kantar Shawmut Corp. STYLEBEE Altoros Invocable Learn more about Chattermill Funding AMOUNT RAISED $26M FUNDED OVER 1 round Round B $26000000 Series B - Dec 2022 View Chattermill's funding history Founders Dmitry Isupov Founder London Mikhail Dubov Founder London View the team Similar Jobs Fintricity We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment AI Data Scientist – Generative AI, Agentic & LLM Research $20k – $100k Apply Checkatrade Find checked trades, compare quotes, book jobs — all in one app. A job done right, made easy Data Scientist £50k – £70k Apply Reedsy A friendly place for authors to learn, create and market the best indie books AI Engineer - Remote Europe €70k – €120k • 0.0% – 0.2% Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business 2026 AI/ML Research Fellow $60k – $120k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and AI Engineer - London £90k – £160k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and Quant Engineer - London £110k – £200k Apply Permutive Performance and privacy. 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Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life B2C Public Stage Top Investors Save Apply Now Sr. Machine Learning Engineer, Computer Vision $151k – $310k | Remote ( Everywhere ) • San Francisco |Full Time Posted: 1 year ago Job Location San Francisco Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you’ll do: Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we’re looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. 5+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. Publications at top ML conferences. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$150,713—$310,291 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. Apply Now About the company Pinterest Actively Hiring Dream about, plan and prepare for things to to do in life 5000+ Employees San Francisco 5000+ Social Media Internet E-Commerce Advertising Social Commerce Social Bookmarking Software Curated Web Social Network B2C Public Stage Top Investors Learn more about Pinterest Funding AMOUNT RAISED $1.4B FUNDED OVER 10 rounds Rounds IPO Undisclosed amount IPO - Apr 2019 +9 View Pinterest's funding history Perks Healthcare benefits Comprehensive health benefits for you and your family. Sponsored One Medical memberships for you and your family [US Only]. Mental health benefits, including free sessions with a therapist. Parental leave 4 months of paid parental leave that parents can take at any time over the course of a year — and we encourage both mothers and fathers to take it. Equity benefits Unlimited Vacation Unlimited PTO for employees in the US Company meals Commuter benefits Explore Pinterest's perks and benefits Founders Evan Sharp Founder San Francisco Ben Silbermann Founder Silicon Valley View the team Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Senior Machine Learning Engineer $150k – $265k • 0.1% – 0.25% Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply Unlearn.AI Transforming clinical development by making every trial smarter with AI Applied Machine Learning Scientist $140k – $165k Apply Fambot AI AI Chief of Staff for Families Founding Backend Engineer $100k – $180k • 0.1% – 1.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Arcade The easiest way to showcase your product Senior Applied AI Engineer $130k – $265k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Vibe.co Actively Hiring The all-in-one platform to drive measurable ROI with Streaming TV Advertising Save Apply Now Senior Machine Learning Engineer - Identity & Audience Remote ( France ) • Paris |Full Time Reposted: 3 weeks ago Job Location Paris Hires remotely in France Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Jack Scarfe Senior Technical Talent Acquisition Manager • 5 months New York About the job Senior ML Engineer, Identity & Audience About Vibe At Vibe.co, we're reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play, it's the next great performance marketing channel. We're building the infrastructure to unlock this $100B opportunity. Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement, giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV. Trusted by over 10,000 brands, Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone. Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors. Founded in 2022, Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media. About the Role Data isn't a support function at Vibe — it's the fuel. Every decision about which ad reaches which household, and when, runs on it. You'll join the Data Platform team and specialize in identity: turning billions of raw events into coherent, usable entities that power targeting, measurement, and the training sets our models learn from. You'll report to [Manager Name], [Manager Title]. This role exists because identity resolution at our scale is a hard, unsolved problem, and we need someone who can build models that catch the right signal across petabytes of events. You'll get direct, measurable impact — your work decides which ad reaches whom and whether it worked, not a metric buried in a research paper. You'll shape the roadmap for a system every team at Vibe depends on. And you'll work on a problem that only gets more interesting as CTV scales. What You'll Do Identity Stack Ownership Research and build algorithms that resolve coherent entities like users and households from billions of events. Turn machine learning, clustering, and statistical approaches into scalable, production-ready systems. Lead projects end-to-end, from stakeholder requirements through research, implementation, and post-launch iteration. Build platform-level identity-resolution tooling so every team can resolve identity behind their own events. Design for scale from the start; treat unscalable local tests as unfinished work. Cross-Team Partnership Help shape and execute the roadmap for Vibe's identity stack. Surface tradeoffs, risks, and decisions to stakeholders without burying them in implementation detail. Translate ambiguous requests from Product, Sales, ML, and Finance into concrete deliverables. Collaborate with other ML engineers on MLOps problems. What You Need 5+ years of experience as an ML engineer or data scientist building and operating production services. Experience operating at data scale, using tools like Dagster, Spark, or Iceberg. Familiarity with MLOps tooling and practices. A track record of leading technical projects end-to-end, from ambiguous requirements to shipped systems. Strong cross-functional communication skills: you can adjust detail level for your audience and push back constructively. Judgment about when to invest in abstraction and when to keep things simple. Nice to Haves Experience in streaming TV advertising or programmatic advertising. Our Values At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions. You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort. This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast. If that sounds like the best version of your career, we want to meet you. What We Offer Pour les candidats basés en France, la rémunération est déterminée en fonction du marché local. Chez Vibe, nous voulons que vous construisiez quelque chose, possédiez quelque chose, et progressiez vite. Voici comment nous le prouvons : Variable pay — based on objectives you hit. No arbitrary targets. Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week! Health insurance — Full coverage via Alan. Meal vouchers — Via Swile. Annual offsite — The whole team, once a year, somewhere worth the trip. Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide. Our Interview Process We respect your time. Here's exactly what to expect — no surprises, no ghosting. Recruiter screen — 30 min. We'll share context; you'll share yours. Manager interview — Meet the person you'd work with directly. Take-home assignment + live debrief — A real problem, not a trick. We'll work through it together. Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar. Offer — Fast. We don't let good decisions sit. Reference checks — Two calls, handled with discretion. Equal Opportunity Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know. Referral Instructions Being referred? Ask your contact to submit your application directly on your behalf. Apply Now About the company Vibe.co Actively Hiring The all-in-one platform to drive measurable ROI with Streaming TV Advertising 51-200 Employees New York City 51-200 Private Company Marketing Adtech Learn more about Vibe.co Perks Full Health Coverage Comprehensive medical, dental, and vision insurance. 401(k) with matching We invest in your future, not just your output. Parental Leave Paid leave for all parents. Unlimited PTO Take the time you need. We measure results, not hours. Annual Offsite The whole team, once a year, somewhere worth the trip. Explore Vibe.co's perks and benefits Similar Jobs Omnea Omnea is an AI-native platform that streamlines procurement across teams and systems Enterprise Sales Engineer $240k – $300k Apply batvoiceAI Scans emotions in thousands of customer service calls everyday to improve customer xp Software or Infra Engineer : confirmed to principal - full remote €40k – €55k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Quora Actively Hiring Our mission is to grow and share the world's knowledge B2C Scale Stage Top Investors +2 Save Apply Now Software Engineer, Machine Learning Platform, New Grad - Quora (Remote) $98k – $139k | Remote ( Canada • United States ) |Full Time Posted: 3 weeks ago Hires remotely in Canada - United States Remote Work Policy Remote only Company Location Mountain View Visa Sponsorship Not Available Relocation Not Allowed About the job [Quora is a privately held, "remote-first" company**.* This position can be performed remotely from anywhere in Canada or the United States. Please visit* careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About Quora: Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms: Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Claude-Sonnet-5, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Quora product. About the Team and Role: Machine Learning is central to Quora's mission of growing the world's collective intelligence. We have 100+ Machine Learning models in production powering various product features. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month. Our team owns Quora's ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency. We want to empower all ML engineers at Quora to be as impactful as they can be in solving different ML problems at scale. As a Software Engineer (New Grad) on this team, you'll work at the intersection of Machine Learning, Distributed Systems, and GPU Serving performance — and your work will have an enormous impact on Quora's long-term success. No previous ML infrastructure experience is required for this role. You'll be joining a team of senior and staff engineers, learning this stack from the people who built it, with a dedicated mentor and strong technical guidance — and you'll be shipping to production in your first few weeks. Stack: Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, AWS 🚀 Excited to see our MLP team's amazing work in action? Check out some of the incredible projects they've completed below! 👇✨ https://quoraengineering.quora.com/Migrating-from-x86-to-AWS-Graviton-A-Journey-in-Cost-Optimization-and-Performance https://aws.amazon.com/blogs/containers/quora-3x-faster-machine-learning-25-lower-costs-with-nvidia-triton-on-amazon-eks/ https://quoraengineering.quora.com/Building-a-Service-Mesh-in-a-Hybrid-Environment https://quoraengineering.quora.com/Building-Embedding-Search-at-Quora https://quoraengineering.quora.com/Feature-Engineering-at-Quora-with-Alchemy Responsibilities: Help build and maintain the core infrastructure that powers Quora's ML platform, ensuring high availability, scalability, and performance Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM) Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently Modernize our feature store so ML engineers can get new features into production faster Participate in the team's on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform Minimum Requirements: Availability for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time) A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field Genuine interest in large-scale distributed systems, infrastructure, and machine learning Knowledge of Python, Go or C++, or the ability to learn them quickly A passion for learning and always improving yourself and the team around you Preferred Requirements: Previous software engineering experience via an internship, work experience, open-source contribution or coding competition Coursework or hands-on experience with ML frameworks such as PyTorch or TensorFlow Exposure to Kubernetes, Docker, or cloud technologies like AWS Experience with low-level performance work of any kind: profiling, benchmarking, optimization Passion for Quora's mission and goals At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture. Additional Information: We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs. US candidates only: For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $125,320 - $142,783 CAD + equity + benefits. For all other locations in Canada, the salary range is $116,965 - $133,264 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding. Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice #LI-SS2 #LI-REMOTE Apply Now About the company Quora Actively Hiring Our mission is to grow and share the world's knowledge 201-500 Employees Mountain View 201-500 Internet Social Media Search Q&A Knowledge Management B2C Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Quora Funding AMOUNT RAISED $226M FUNDED OVER 4 rounds Rounds D $85000000 Series D - Apr 2017 +3 View Quora's funding history Perks Comprehensive Medical Plans We offer competitive medical benefit coverage for employees and their dependents. Employee only coverage is covered 100% by the company. Employee Assistance Program Offers professional assistance, for employees and their immediate family members, for a wide range of issues including personal and work-related stress, legal and financial consultations, and counseling. Parental Leave Our parental leave policy provides generous paid time off for employees to spend time with their newest family members; specific leave policies are country-dependent. Employee Equity We offer RSUs to all eligible employees, allowing them to participate in the company's success and growth. Work from (Almost) Anywhere Being remote first means employees can travel while working to almost anywhere in the world. Flexible Working Schedule Outside of our designated coordination hours, team members work asynchronously on their own schedules, allowing for a flexible workflow while still maintaining cohesion. Generous PTO & Holidays We recognize the significance of taking time off to recharge. We want to ensure our employees have the time they need to take care of themselves and their loved ones. Home Office & Wellness Stipend Our Remote First Reimbursement Policy supports employees personally and professionally, both during and outside of work, by providing reimbursement for eligible wellness and remote work items. Coworking Space Program To support employees in selecting the best space for their working style and productivity, we offer employees the opportunity to work from a coworking space, both short and long-term. Trainings, Licenses, & Books We encourage employees professional development by investing in training materials, licenses, and books that can have a positive impact to their work. Employee Activity Clubs (EAC) We see the value of bringing employees together through common hobbies and activities. Through EACs, such as language learning, trivia, and monthly chess tournaments, employees are able to get to know each other & learn new things together. Explore Quora's perks and benefits Similar Jobs Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior Software Engineer, API and Data Delivery $180k – $295k Apply Instrumentl The best platform for nonprofits looking to grow revenue (YC S16) Senior Full Stack Software Engineer $160k – $190k Apply Kick Health The Online Performance Medicine Clinic for Energizing Sleep and Confident Presentations Lead Product-Focused Fullstack Web Engineer - Performance Medicine $80k – $150k • 0.1% – 0.5% Apply Sitewire Build the Infrastructure enabling America’s next housing boom Full-Stack Software Engineer $130k – $200k • 0.0% – 0.1% Apply Wynd Labs Making AI Data Accessible. Building a suite of products powered by Grass Web Scraping Specialist $70k – $140k • No equity Apply Layer Accounting software that embeds directly within SMB NeoBanks & SMB SaaS Fullstack Engineer $150k – $170k • 0.5% – 1.0% Apply Svix (YC W21) Enterprise ready webhooks service. 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Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell B2C Scale Stage Top Investors +1 Save Apply Now Machine Learning Infrastructure Engineer $150k – $350k | Remote ( United States ) • Redwood City |Full Time Reposted: 1 year ago Job Location Redwood City Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job About the role We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: Provide infrastructure support to our ML research and product Build tooling to diagnose cluster issues and hardware failures Monitor deployments, manage experiments, and generally support our research Maximize GPU allocation and utilization for both serving and training Requirements: 4+ years of experience supporting the infrastructure within an ML environment Experience in developing tools used to diagnose ML infrastructure problems and failures Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage) Experience working with GPUs Nice to have Experience with large GPU clusters and high-performance computing/networking Experience with supporting large language model training Experience with ML frameworks like Pytorch/TensorFlow/JAX Experience with GPU kernel development About Character.AI Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success. Apply Now About the company Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell 51-200 Employees Palo Alto 51-200 Information Technology Artificial Intelligence B2C Scale Stage Top Investors Valuation $1B+ Learn more about Character AI Similar Jobs Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell Software Engineer, Backend/Applied ML (Safety & Integrity) $150k – $300k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Innovify Actively Hiring Digital Venture Studio Top 1% of responders Responds within a day Growth Stage Save Apply Now Full-Stack AI Engineer Remote ( India ) • London |5 years of exp |Full Time Reposted: 7 days ago• Recruiter recently active Job Location London Remote Work Policy Onsite or remote Hires remotely in India Visa Sponsorship Not Available Relocation Not Allowed Skills Python Node.js React.js About the job ABOUT THE ROLE We are looking for full-stack engineers with strong fundamentals who want to build AI-powered applications. You will build both backend AI services and frontend AI interfaces. KEY RESPONSIBILITIES • Build end-to-end AI features (backend APIs + frontend UI) • Integrate LLMs into Node.js/React applications • Implement streaming responses • Design feedback loops for model improvement • Create AI-native user experiences with proper loading states, error handling, and trust signals • Collaborate with product managers on AI feature definition MUST-HAVE REQUIREMENTS Experience • 5+ years full-stack development • 3+ years backend (Node.js OR Python) • 3+ years frontend (React, Next.js preferred) • 1+ year integrating LLM APIs Engineering Fundamentals • Strong problem-solving skills – ability to decompose features and implement clean, maintainable solutions • Solid understanding of algorithms and data structures – can analyze complexity and choose appropriate structures for given problems • Experience designing RESTful APIs with consideration for performance, security, and scalability • Understanding of database design principles – indexing, query optimization, data modelling. Backend Skills • Node.js with Express/NestJS OR • Python with FastAPI/Flask Frontend Skills • React with Next.js • TypeScript • Responsive design • State management (Zustand, Redux, or Context) AI Experience • LLM API integration • Prompt engineering for production • Basic vector database understanding Cloud • AWS, GCP, Azure, or Vercel deployment experience Nice to Have • Experience building voice AI, voice agents, or video AI/chatbot solutions Apply Now About the company Innovify Actively Hiring Digital Venture Studio 11-50 Employees London 11-50 Design Studio Business Consulting Software Development Enterprise Software Cloud Computing Web Design Finance Technology New Product Development Web Development User Experience Design Ecommerce Mobile Application Top 1% of responders Responds within a day Growth Stage Employees joined from eBizTrait Credencys Solutions Inc. Queppelin Technology Solutions Pvt. Ltd. SocialPilot Infibeam Avenues Limited Learn more about Innovify Funding AMOUNT RAISED $285K FUNDED OVER 1 round Round S $285000 Seed - Sep 2014 View Innovify's funding history Founders Maulik Sailor CEO • 15 years London Prakash Pilley Founder Yoann Turpin CFO • 12 years London View the team Similar Jobs Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Countly Product Analytics and Innovation. Build better customer journeys Senior Software Engineer $66k – $80k • No equity Apply braind we build the future of Enterprise Software Founding Engineer $1k – $1k • 0.1% – 10.0% Apply Nika Trade anything. Own everything Senior Engineer (Full-Stack, Web3) $150k – $220k • 0.0% – 2.0% Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply Connectome Connectome is building the operating system for brain health Chief Technology Officer (CTO) $60k – $120k • 0.0% – 10.0% Apply Alpha Bravo Studios we deliver end-to-end digital campaigns across the music, food and lifestyle industries Software Developer (Python) / Technical Builder £28k – £35k • No equity Apply Kaylie AI We use AI to help dentists get paid by insurance in the US Founding Software Engineer $80k – $120k • 0.0% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Thalmaar Actively Hiring Superintelligence for the Physical World Save Apply Now Full Stack AI Engineer - India ₹5L – ₹10L | Remote ( Everywhere ) • Pune +4 |2 years of exp |Full Time Posted: 2 weeks ago• Recruiter recently active Job Location Pune • Ahmedabad • Mumbai • Bangalore Rural • Bangalore Urban Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Preferred Timezones Pacific Time Relocation Allowed Skills Python AI Generative AI About the job Location: Anywhere India. Remote. Mumbai/Ahmedabad preferred Type: Full-time Experience: 2+ years (recent graduates with strong internship/project experience welcome) Build What Comes After Generative AI The first wave of AI learned to generate. The next will learn to perceive, reason, coordinate, and act in the physical world. We are building an intelligence platform at the intersection of frontier AI, autonomous systems, robotics, edge computing, sensing, and real-world operations. Our ambition is to create a new category: Mission Superintelligence—technology that helps humans and intelligent machines understand complex environments, make better decisions, and coordinate action across the physical world. About the Role We're looking for a Full Stack AI Engineer to help us build and scale our web application. You'll own new feature development end-to-end — from database and API design through to polished, responsive UI — while keeping our existing product stable, fast, and maintainable. This is a hands-on role for someone who is comfortable across the whole stack and genuinely excited about building with modern AI tooling. You'll work directly with LLMs, use AI-assisted development workflows day to day, and ship features that put AI to work for our users. What You'll Do Design, build, and ship new features for our web app across the full stack (frontend, backend, database). Maintain, debug, and improve the existing application — fixing issues, improving performance, and paying down technical debt. Build and integrate LLM-powered features into the product. Design clean REST/JSON APIs and efficient PostgreSQL schemas and queries. Own deployments and keep environments healthy (Railway, Docker). Write readable, tested, well-documented code and participate in code reviews. Collaborate closely with product and design to turn ideas into working features quickly. Use AI-assisted development tools (e.g., Claude Code) to move faster without sacrificing quality. Required Skills & Experience 2+ years of professional full stack development experience, or a strong portfolio of projects/internships for recent graduates. Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience. Frontend: Strong proficiency with React.js and Next.js, including modern hooks, component architecture, and responsive UI. Backend: Solid Python experience building backend services and APIs (e.g., FastAPI, Django, or Flask). Database: Hands-on experience with PostgreSQL — schema design, writing and optimizing queries, migrations. Deployment: Experience deploying and managing apps on Railway (or similar PaaS) and containerizing services with Docker. AI/LLM: Practical experience working with LLMs and AI models — calling model APIs, prompt engineering, and integrating AI into real features. Comfort using AI-assisted coding tools such as Claude Code in your day-to-day workflow. Strong fundamentals: Git/version control, debugging, writing clean and maintainable code. Good communication skills and the ability to work independently and own features end-to-end. Nice to Have Experience with TypeScript. Familiarity with retrieval-augmented generation (RAG), vector databases (e.g., pgvector, Pinecone), or agent frameworks. Experience with CI/CD pipelines and automated testing. Exposure to cloud platforms (AWS, GCP, or Azure). Experience with authentication/authorization, API security, and rate limiting. Familiarity with observability/monitoring tools (logging, error tracking, performance monitoring). An eye for UI/UX and design systems (e.g., Tailwind CSS, shadcn/ui). What We Offer Competitive Salary Equity/bonus based on performance after the first year. Health, PTO, and other benefits The chance to build real AI products and grow quickly in a small, high-ownership team. This Is Your Role If You do not want your best work to be another incremental feature. You want to build at the boundary between intelligence and action. You want to help answer how AI will interact with machines, infrastructure, and the physical world. You want to look back years from now and know that you helped create a category before the rest of the market knew it existed. How to Apply Do not send a generic cover letter. Tell us: What is the hardest product you have helped build? What did you personally own? What did you initially misunderstand? What evidence changed your product direction? Why do you believe the next era of AI will move into the physical world? Why should you be one of the people who helps build it? Apply Now About the company Thalmaar Actively Hiring Superintelligence for the Physical World 1-10 Employees San Francisco 1-10 Defense DOD/Military Europe United Arab Emirates Federal Government United States Learn more about Thalmaar Founders Kapil Kanugo Founder San Francisco View the team Similar Jobs Ariveguru Technology Solutions Enterprise Cloud Solutions and Applications Lead AI-First MERN Fullstack Engineer (Vibe Coder) - Bangalore ₹7L – ₹14L Apply Aikenist Welcome to the Future of HealthCare! 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Adaptive Control Data Modeling Data-Driven Modeling Data-driven Machine Learning
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Agent Orchestration ChatGPT Claude Code Refactoring Code optimization
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Smart Audit Actively Hiring Audit Workflow Software Early Stage Save Apply Now AI Engineer $25k – $50k • 0.0% – 1.0% | Remote ( India ) • Bengaluru +3 |4 years of exp |Full Time Posted: 3 months ago• Recruiter recently active Job Location Bengaluru • Hyderabad • Mumbai • Chennai Remote Work Policy Onsite or remote Hires remotely in India Visa Sponsorship Not Available Preferred Timezones Maldives Time Relocation Allowed Skills MERN Stack - Javascript (ES5 & ES6), MongoDB, Express.Js, React, Node.Js LangChain Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Hiring contact Piyush Chaplot Founder Singapore About the job We are looking for a highly technical AI Engineer with strong full-stack capabilities to architect and build the foundational AI infrastructure and core application layers for our next-generation Smart Audit platform. In this role, you will hold end-to-end ownership of the AI lifecycle moving beyond third-party API orchestration to design, train, and deploy proprietary machine learning models natively, while ensuring they are seamlessly integrated into a robust, scalable enterprise web application. You will transform how the enterprise analyzes financial records, contracts, and operational data, turning manual, error-prone sampling into automated, 100% population risk scanning. If you are passionate about custom architecture, enterprise scalability, and deploying high-performance systems and full-stack applications to production, this role is for you. Key Responsibilities Proprietary Model Architecture and Training: Design, train, and fine-tune domain-specific LLMs and deep learning models for anomaly detection, fraud identification, and automated compliance checking. Full-Stack Application Integration (MERN): Architect and develop the core platform features using the MERN stack (MongoDB, Express.js, React, Node.js), ensuring smooth, low-latency communication between the AI backend services and the user-facing dashboard. Custom GenAI and Retrieval Infrastructure: Engineer advanced, low-latency retrieval systems, custom embedding models, and multi-agent workflows optimized for massive volumes of unstructured legal and financial data, independent of high-level orchestration frameworks. Enterprise Production and MLOps: Establish automated, end-to-end MLOps pipelines covering data labeling, continuous training, version control, and high-throughput/low-latency model serving in production environments. Data Architecture Engineering: Architect custom ETL and data ingestion pipelines using Node.js/Express capable of parsing and structuring complex, multi-format enterprise data (unstructured PDFs, massive Excel sheets, ERP system dumps) into MongoDB and vector databases. Evaluation and Robustness Frameworks: Implement deterministic evaluation frameworks to strictly benchmark model accuracy, mitigate hallucinations, and minimize false positives/negatives in a high-stakes auditing environment. Security, Privacy and Explainability: Architect systems to comply with strict enterprise data isolation and privacy standards (e.g., GDPR, SOC2). Ensure the React interface provides clear, intuitive, and explainable lineage so human auditors can verify the AI’s logical reasoning. Technical Skills and Qualifications Required Experience: Demonstrated track record of building, scaling, and maintaining both machine learning models and production-grade full-stack web applications. MERN Stack Proficiency: Production-grade development experience with MongoDB (aggregation pipelines, indexing, schema design), Express.js, React.js (state management, hooks), and Node.js (asynchronous programming, API development). Deep Learning and Frameworks: Professional proficiency with Python and deep learning frameworks (such as PyTorch or TensorFlow) along with a strong understanding of neural network architectures. Preferred (Nice-to-Have) Experience building, fine-tuning, or aligning open-source LLMs (e.g., Llama, Mistral) using PEFT, LoRA/QLoRA, or DPO. Experience designing and optimizing distributed Vector Databases (e.g., Qdrant, Milvus, pgvector) alongside traditional document stores like MongoDB. Expertise in customized NLP, Named Entity Recognition (NER), or building custom OCR/Document parsing pipelines. Experience building and scaling AI-driven full-stack solutions or multi-agent orchestrations within Enterprise SaaS, Fintech, or Legaltech. Experience with real-time data streaming (e.g., WebSockets, Kafka) to push live AI inference results to a frontend dashboard. Soft Skills and Culture Fit First-Principles Thinker: You look past black-box solutions; you understand how a model behaves at the architectural level and how the application layer interacts with it. System Ownership: Comfortable owning the technical roadmaps—from the database layout and backend APIs to the AI models and the final user interface. Pragmatic Innovator: Ability to balance cutting-edge AI agent research with the practical realities of enterprise engineering constraints (cost, latency, UI/UX clarity, and security). Apply Now About the company Smart Audit Actively Hiring Audit Workflow Software 1-10 Employees Singapore 1-10 Private Company SaaS Enterprise Software Machine Learning Big Data Artificial Intelligence Early Stage Employees joined from Capgemini Amdocs Ocular Technologies Learn more about Smart Audit Perks Equity benefits Remote friendly Professional development Explore Smart Audit's perks and benefits Founders Piyush Chaplot Founder Singapore View the team Similar Jobs Learnyst Sell courses online securely from your own branded website & mobile apps Test Engineer ₹3L – ₹7L • No equity Apply Gyrus.AI AI for Image/Video Analytics AI/ML Engineer ₹5L – ₹10L Apply Heady Heady’s mission is to deliver top-notch and affordable apps Senior SDET ₹16L – ₹22L • No equity Apply FactWise A US-VC funded startup with a blank slate to revolutionize the source to pay journey Junior Backend Engineer ₹4.5L – ₹18L • 0.01% – 1.0% Apply BlueSapling - Intelligence Served Software Developer - Backend ₹7L – ₹9L Apply Navtech We design and develop the most innovative solutions for your users! 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GOVSTAR Actively Hiring Unlocking the future of government Responds within three weeks Growing fast Save Apply Now AI Engineer (Remote) Remote ( United States ) • Arlington |10 years of exp |Full Time Reposted: 1 week ago• Recruiter recently active Job Location Arlington Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Preferred Timezones Central Time, Eastern Time Collaboration Hours 8:30 PM - 5:30 PM Eastern Time Relocation Allowed Skills Python Git PostgreSQL REST APIs Docker Microsoft Azure Kubernetes openAI databricks CI/CD Cosmos DB LLMs Retrieval-Augmented Generation (RAG) Azure AI Foundry Hiring contact Nicholas Hanson Employee About the job Looking for PURPOSE? At GovStar, we found it. We love the work we do, the people we do it with, and the impact we have. We’re looking for talented technologists and creatives with the character, courage, and commitment to achieve greatness and grow together. We’re a tight group of individuals coming together to produce Legendary Teams. We are using technology and creativity to unlock the future of government and shape a brighter future for the country we love. Discover us @ www.govstar.us Overview GovStar seeks a talented, courageous AI Engineer to design, build, evaluate, and operationalize secure AI-enabled services for national security use cases. The role will focus on retrieval, prompting, guardrails, orchestration, model evaluation, data-source integration, governance, and production deployment of large-language-model capabilities inside approved government cloud boundaries. Responsibilities Responsibilities include, but are not limited to: Design and implement AI-enabled services using large language models and approved enterprise AI frameworks. Develop retrieval-augmented generation (RAG), prompting, tool-use, orchestration, classification, extraction, summarization, and other model-backed workflows. Integrate AI services with approved structured and unstructured data sources in the centralized data platform. Develop evaluation frameworks for accuracy, relevance, groundedness, robustness, safety, and mission usefulness. Implement guardrails and controls to reduce hallucination, inappropriate disclosure, prompt-injection risk, data leakage, and other AI-specific failure modes. Design model governance, traceability, auditing, and human-in-the-loop patterns appropriate for sensitive government use cases. Support AI capabilities such as investigative/hotline analysis, natural-language querying, trend and anomaly detection, link analysis, pattern recognition, automated tagging/classification, drafting, eDiscovery support, translation, and transcription. Deploy and integrate solutions using approved services such as Azure OpenAI, OpenAI models, commercial LLM providers, and other enterprise AI frameworks where permitted. Partner with platform and cloud engineers to productionize AI services using secure CI/CD, IaC, containerization, monitoring, and scalable deployment patterns. Support pilot design, data-quality evaluation, AI-output validation, migration of existing AI tools, and transition from pilot to sustained operations. Clearly communicate model limitations, technical tradeoffs, evaluation findings, risks, and recommendations to technical and non-technical stakeholders. Minimum Requirements U.S. citizenship. Current residence in the United States and residence in either the Eastern or Central Time Zone. Ability to obtain and maintain a DHS Public Trust. Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a closely related technical field. At least 10 years of relevant professional experience in software engineering, machine learning, artificial intelligence, data science, or related technical disciplines, including significant recent AI/ML engineering experience. Expert-level Python development skills and demonstrated ability to build production software. Hands-on experience building applications or services with large language models. Experience with RAG, prompt engineering, embeddings/vector retrieval, orchestration, model evaluation, and AI guardrails. Experience integrating AI services with enterprise data sources and APIs. Experience deploying secure AI/ML workloads in cloud environments, with Azure experience strongly preferred. Strong understanding of AI security, sensitive-data protection, model governance, auditability, and responsible AI engineering. Strong system-design, problem-solving, documentation, and customer communication skills. GovStar Expectations Passion for solving complex technical challenges in support of U.S. national security objectives. Willingness to learn, grow, and stretch outside established areas of expertise. Strong interpersonal skills and the ability to build trusted relationships with customers, partners, and teammates. Proactive communication, self-direction, ownership, and the ability to start and lead initiatives without waiting to be told what to do. Commitment to GovStar’s collective growth through knowledge sharing and participation in internal initiatives, innovation efforts, onboarding, and business-development support. Professionalism, humility, curiosity, customer empathy, and a collaborative, team-first mindset. Preferred Requirements Experience with Azure OpenAI, Azure AI Foundry, Databricks, or equivalent enterprise AI platforms. Experience with AWS Bedrock or other commercial enterprise LLM platforms. Experience with agentic workflows, tool calling, structured outputs, multimodal AI, or advanced retrieval techniques. Experience developing AI evaluation harnesses, red-team tests, observability, or continuous quality monitoring. Experience with investigative, case-management, eDiscovery, document intelligence, translation, or transcription use cases. Experience supporting U.S. federal government systems, ATO processes, or regulated environments. Experience mentoring engineers and setting technical direction for AI engineering practices. Relevant Technologies Python; Azure OpenAI; Azure AI Foundry; OpenAI models/APIs; Databricks; RAG/vector search; enterprise LLM frameworks; REST APIs; PostgreSQL/Cosmos DB; Docker/Kubernetes; GitHub Enterprise; CI/CD; Azure. Benefits This is a full-time, salaried position. Benefits include: Health/Dental/Vision insurance 401(k) matching Paid time off Employee shares program Apply Now About the company GOVSTAR Actively Hiring Unlocking the future of government 11-50 Employees Virginia 11-50 Engineering Services Digital Media Production Ux/Ui Design Artificial Intelligence Information Technology Strategic Consulting Product Development Software Development Video Cloud Computing Artificial Intelligence Consulting Web Development User Experience Design Cyber Security Government Innovation User Interface Design Customer Experience Software Engineering Responds within three weeks Growing fast Learn more about GOVSTAR Similar Jobs Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Thea Thea is an AI-based learning/studying platform that effortlessly adapts to any curriculum Software Engineer $100k – $170k Apply Devyantram Lifelike machines from nanoscale to humanoid—powered by bionic brains Lead Perception & Controls Engineer $155k – $175k Apply Devyantram Lifelike machines from nanoscale to humanoid—powered by bionic brains Lead Photonics Engineer $150k – $170k Apply Devyantram Lifelike machines from nanoscale to humanoid—powered by bionic brains Lead Biohybrid Systems Engineer $145k – $165k Apply Trustible AI AI Governance and Compliance Platform Forward Deployed Engineer $145k – $180k • 0.2% – 0.3% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Silstone Health Actively Hiring Save Apply Now Junior AI Engineer Remote ( Noida • Bangalore Rural ) |1 year of exp |Full Time Posted: 2 weeks ago• Recruiter recently active Hires remotely in Noida - Bangalore Rural Remote Work Policy Remote only Company Location India Visa Sponsorship Not Available Relocation Allowed Skills Python Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB About the job Jr. AI Engineer Experience: 1–2 Years Location: Remote Employment Type: Full-Time About the Role We are looking for an AI Engineer with 1–2 years of hands-on experience to work on cutting-edge AI solutions involving Generative AI, RAG (Retrieval-Augmented Generation), and Agentic AI. You will collaborate with our engineering team to build, test, optimize, and deploy AI-powered applications. Key Responsibilities Build AI applications using LLMs. Develop and optimize RAG pipelines and Agentic AI workflows. Integrate AI models with APIs and databases. Write clean, scalable, and maintainable Python code. Work with AI frameworks and tools to develop production-ready solutions. Research and experiment with emerging AI technologies. Contribute to the design and development of AI-powered products. Debug, test, and optimize AI applications. Required Skills 1–2 years of professional experience in AI/ML or AI Engineering. Strong Python programming skills. Hands-on experience with Generative AI, RAG, and/or Agentic AI. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar. Understanding of vector databases and REST APIs. Experience working with Git and GitHub. Understanding of LLM-based application development. Mandatory Requirements Active GitHub profile with public repositories showcasing AI/LLM, RAG, or Agentic AI projects. Hands-on experience building AI-powered applications. Must have a personal laptop capable of handling AI development tasks. Must have a reliable high-speed internet connection for remote collaboration. Good to Have Experience with FastAPI or Flask. Exposure to Docker and cloud platforms such as AWS, Azure, or GCP. Knowledge of embeddings and vector databases. Experience with AI agents and tool/function calling. Familiarity with prompt engineering and LLM evaluation. What We Offer Full-time permanent remote opportunity. Opportunity to work on real-world Generative AI and Agentic AI products. Exposure to modern AI technologies and frameworks. Collaborative and growth-oriented engineering environment. Apply Now About the company Silstone Health Actively Hiring 51-200 Employees India 51-200 Health Care Information Technology Web Development Mobile Application Learn more about Silstone Health Similar Jobs CipherSchools Creator economy led educational video streaming platform for students Mentor- Competitive Programming | Teaching ₹8L – ₹15L • No equity Apply Syook Location data technology that optimize operations Applied Computer Vision Engineer (1+ Years) - Onsite -Noida ₹7L – ₹10L • No equity Apply Meelance Elevating Media and Entertainment Careers through Discovery and Connection Senior Frontend Developer (SDE-3) (Mandatory- Next.js ) – Full-Time | On-Site ₹12L – ₹25L • 0.05% – 0.5% Apply Ceryneian Partners A fintech startup democratizing hedge fund-grade algorithmic trading for the modern investor Frontend Developer $20k – $30k • No equity Apply DeepRunner Build next gen AI products Sr Application Engineer ₹15L – ₹45L Apply Jabali Democratize game development Game Programmer (Generative AI) $20k – $80k • 0.0% – 0.1% Apply Trackier Global Leader in Partner Marketing Software Software Development Engineer -3 ₹25L – ₹40L • No equity Apply CipherSchools Creator economy led educational video streaming platform for students MERN Stack Development Teaching ₹8L – ₹15L • No equity Apply Aurum Analytica Aurum Analytica-Insights for Impact Marketing Data Engineering Specialist ₹6L – ₹8L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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ApiceFlow Where TOP TECH Flows Freely Save Apply Now AI Engineer Remote ( Canada ) • Ontario |Full Time Posted: 1 month ago Job Location Ontario Remote Work Policy Onsite or remote Hires remotely in Canada Visa Sponsorship Not Available Relocation Not Allowed About the job AI Engineer (Remote - Canada) At ApiceFlow, we create intelligent software that brings AI into real business operations. We're looking for an AI Engineer who enjoys turning cutting-edge AI technologies into scalable, production-ready solutions that customers use every day. About the Role As part of our engineering team, you'll help architect and deliver AI-powered capabilities across multiple products. You'll work closely with software engineers, product managers, and designers to build reliable systems that leverage modern machine learning and large language models. What You'll Do Build and deploy AI-powered applications for production environments Develop data pipelines and workflows for model training, evaluation, and inference Implement solutions using LLMs, embeddings, prompt engineering, and retrieval techniques Experiment with new models and optimize quality through testing and continuous improvement Integrate AI capabilities into backend services and user-facing applications Monitor model performance, operational costs, latency, and reliability Write high-quality, maintainable code and participate in code reviews Collaborate with cross-functional teams to define technical solutions and deliver new features What We're Looking For Solid software engineering experience Hands-on experience building and deploying AI or machine learning applications Strong Python programming skills Experience working with modern AI frameworks and LLM platforms Understanding of data engineering, testing strategies, and production monitoring Comfortable working in a distributed remote team Strong analytical thinking and communication skills Nice to Have Experience building Retrieval-Augmented Generation (RAG) applications Familiarity with vector search technologies and embedding models Knowledge of AI evaluation, model monitoring, or guardrail frameworks Experience with cloud platforms including AWS, Google Cloud, or Azure Previous experience working in startup or fast-paced product teams Why Join ApiceFlow Remote-first position based in Canada Build real AI products used by customers High ownership with opportunities to influence technical direction Work alongside experienced engineers in a collaborative environment Competitive salary based on experience and technical expertise ApiceFlow is an equal opportunity employer. We value diversity and consider all qualified candidates based on their skills, experience, and ability to contribute to our team. To apply, please send your resume together with any GitHub repositories, portfolio projects, technical blogs, or examples of AI-related work that demonstrate your experience. Apply Now About the company ApiceFlow Where TOP TECH Flows Freely 11-50 Employees Australia 11-50 Information Technology Artificial Intelligence Software Web Development Mobile Application Blockchain / Cryptocurrency Web3 Learn more about ApiceFlow Perks Remote Work Environment It’s about freedom, trust, and balance. We’re built for remote collaboration and ensure every team member feels connected, supported, and empowered wherever they are. Explore ApiceFlow's perks and benefits Founders Jan Ong Co-Founder & Chief Executive Officer • 1 year View the team Similar Jobs Softdrive Building the Future of Computing C++ Software Engineer - Remote Desktop Software $100k – $155k CAD • 0.01% – 0.3% Apply Feathery AI-powered data intake for financial services Frontend Engineer $70k – $100k CAD • 0.02% – 0.1% Apply Next Epic Building top notch tech for big fitness brands Senior iOS Developer (w/ frontend expertise) $120k – $180k • 0.1% – 0.5% Apply Next Epic Building top notch tech for big fitness brands Senior Android Developer (w/ frontend expertise) $100k – $150k • 0.1% – 0.5% Apply Sponsor a Pet We are a fundraising company for animal non-profits UI/UX Design Engineer Intern $1k – $2k • No equity Apply BrainStation Digital skills training for the future of work Software Developer (Entry Level) $85k – $95k Apply Crema Social Fast Growting International Dating through a Social Meal Experiment Software Engineer $70k – $90k • 0.5% – 1.0% Apply PathPilot Optimizing Career and Learning Journeys at Scale with AI Founding Engineer, AI $125k – $175k CAD • 1.0% – 5.0% Apply Primate Labs Benchmark software for mobile devices Senior ML Software Developer $150k – $200k CAD • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Fintricity Actively Hiring We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment Early Stage Save Apply Now AI Engineer (for UK Onsite only) - PLEASE ONLY APPLY IF YOU LIVE IN THE UK £35k – £80k • No equity | Remote ( Everywhere ) • London +3 |3 years of exp |Full Time Posted: 1 month ago• Recruiter recently active Job Location London • Manchester • Birmingham • Leeds Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed Skills Python Software Architecture PostgreSQL Enterprise Architecture Data Architecture React.js openAI LLMs LangChain Large Language Models (LLMs) Claude Agentic Workflow Multiagent Systems Multi AI Agentic System Agentic AI Antigravity About the job About Us Fintricity is an AI-first consulting and technology firm helping enterprises transform the way they use data, artificial intelligence, and digital platforms. Founded from a long-standing background in financial technology, data engineering, analytics, and digital transformation, Fintricity works with organisations to move from strategy to production-ready solutions. Its approach combines business consulting, architecture, software engineering, data science, agile delivery, and change management to help clients build practical, scalable AI and data capabilities. Kendra Labs is Fintricity’s technology and innovation venture, focused on building enterprise-grade AI, data, and agentic infrastructure. The platform helps organisations bring together fragmented data, create trusted AI-ready knowledge layers, deploy intelligent agents, and govern AI solutions at scale. Kendra Labs is designed for businesses that want to become AI-first: using data, automation, and agentic systems to improve decision-making, operational efficiency, and product innovation. Together, Fintricity and Kendra Labs combine deep consulting expertise with proprietary AI platform capability. We work at the intersection of strategy, engineering, data, and applied AI, helping clients design, build, and deploy intelligent solutions that deliver measurable business outcomes. Our teams operate with an AI-first mindset, using modern tools, automation, and agentic workflows to accelerate delivery while maintaining strong governance, security, and enterprise readiness. We are looking for people who want to work on meaningful AI and data transformation challenges, contribute to cutting-edge agentic technology, and help organisations move confidently into the next generation of intelligent enterprise systems. About the Role Fintricity and Kendra Labs are building enterprise-grade AI infrastructure for the next generation of agentic systems. Our work spans AI gateways, model orchestration, MCP/tool gateways, agent control planes, identity, governance, security, data platforms, code intelligence, and production-grade AI automation. We are looking for an AI Engineer who can design, build, evaluate, and operate reliable AI systems in real-world enterprise environments. You will work across Fintricity and Kendra Labs to turn frontier AI capability into robust products, internal platforms, customer-facing solutions, and repeatable engineering patterns. This role is ideal for an engineer who combines strong software engineering fundamentals with hands-on experience in LLMs, agents, retrieval, evaluation, observability, and secure production deployment. Responsibilities Design, build, and maintain AI-powered applications, agents, workflows, and platform components across Fintricity and Kendra Labs. Develop production-grade LLM and agentic systems using modern AI engineering patterns, including tool calling, retrieval, orchestration, memory, evaluation, and human-in-the-loop controls. Build integrations with enterprise systems, APIs, data sources, model providers, vector stores, code repositories, and MCP-compatible tools. Contribute to core Kendra Fabric modules, including AI gateway, agent control plane, MCP/tool gateway, code graph, data plane, identity, security, and governance capabilities. Implement robust evaluation pipelines for model quality, agent behaviour, latency, cost, reliability, and safety. Design and improve prompt, context, and workflow patterns for repeatable enterprise use cases. Build observability, tracing, logging, and debugging capabilities for AI systems in development and production. Work with product, engineering, customer, and leadership teams to convert ambiguous business problems into practical AI solutions. Apply secure engineering practices for authentication, authorization, data handling, auditability, model access, and tool execution. Prototype rapidly, validate assumptions with evidence, and harden successful prototypes into maintainable production systems. Document architecture, design decisions, technical trade-offs, and operational runbooks clearly. Requirements Strong software engineering experience in Python, TypeScript, or both. Experience with Claude, Gemini, Antigravity, and similar systems to build enterprise applications. Practical experience building with LLMs, AI APIs, agent frameworks, RAG systems, tool calling, or workflow orchestration. Understanding of modern AI system design: context engineering, retrieval, embeddings, vector databases, structured outputs, function calling, evaluations, guardrails, and observability. Experience designing and consuming APIs, working with cloud services, and deploying production systems. Ability to reason about reliability, latency, cost, security, privacy, and maintainability in AI applications. Strong debugging skills across application code, model behaviour, data pipelines, prompts, and external integrations. Familiarity with Git-based development, CI/CD, testing, code review, and engineering documentation. Comfortable working in a fast-moving environment where product direction, technical architecture, and customer needs evolve quickly. Clear written and verbal communication, with the ability to explain complex AI and engineering concepts to technical and non-technical stakeholders. Evidence of ownership: you can take a problem from discovery through design, implementation, testing, deployment, and iteration. Nice to Haves Experience with MCP, agent platforms, tool gateways, AI gateways, model routers, or multi-provider LLM infrastructure. Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants/Responses APIs, Anthropic Claude, Gemini, or comparable frameworks and APIs. Experience building enterprise AI, governance, security, compliance, or regulated-industry systems. Experience with knowledge graphs, code intelligence, repo analysis, semantic search, or large-codebase understanding. Experience with observability tools such as OpenTelemetry, LangSmith, Arize/Phoenix, Helicone, Portkey, or similar platforms. Experience with vector databases and search systems such as pgvector, Qdrant, Weaviate, Pinecone, OpenSearch, Elasticsearch, or Vespa. Experience with cloud platforms such as AWS, Azure, GCP, Vercel, Cloudflare, or Kubernetes-based environments. Experience with identity, access control, SSO, RBAC/ABAC, audit logs, secrets management, or secure tool execution. Contributions to open-source AI, developer tooling, infrastructure, or automation projects. Prior experience in consulting, product engineering, startup environments, or customer-facing technical delivery. What Success Looks Like You ship useful AI systems that move from prototype to production. You make AI behaviour measurable, observable, and improvable. You reduce ambiguity by creating clear technical plans, tests, evaluations, and documentation. You help establish reusable engineering patterns for Fintricity and Kendra Labs. You balance speed with reliability, security, and long-term maintainability. Apply Now About the company Fintricity Actively Hiring We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment 11-50 Employees London 11-50 Artificial Intelligence Big Data Analytics Financial Services Big Data Artificial Intelligence Big Data Analytics Artificial Intelligence / Machine Learning Early Stage Employees joined from Stanley Black & Decker Ontario Tech University Agthia Group Sharah Media Company Catholic Crosscultural Services Learn more about Fintricity Founders Alpesh Doshi Founder London View the team Similar Jobs Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Flow Engineering Collaborative design for complex hardware projects Software Engineer- London £70k – £120k • 0.01% – 0.1% Apply Countly Product Analytics and Innovation. Build better customer journeys Senior Software Engineer $66k – $80k • No equity Apply Askria Askria is a virtual co-founder that ensures that startups are operating efficiently 🚀 Tech Lead – Backend / Data / GenAI $25k – $65k • 0.1% – 0.5% Apply braind we build the future of Enterprise Software Founding Engineer $1k – $1k • 0.1% – 10.0% Apply Nika Trade anything. Own everything Senior Engineer (Full-Stack, Web3) $150k – $220k • 0.0% – 2.0% Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Fintricity Actively Hiring We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment Early Stage Save Apply Now AI Engineer £35k – £80k • No equity | Remote ( Everywhere ) • London +3 |3 years of exp |Full Time Posted: 1 month ago• Recruiter recently active Job Location London • Manchester • Birmingham • Leeds Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Preferred Timezones Coordinated Universal Time Relocation Not Allowed Skills Python Software Architecture PostgreSQL Enterprise Architecture Data Architecture React.js openAI LLMs Large Language Models (LLMs) Claude Agentic Workflow LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect Agentic AI Antigravity About the job About Us Fintricity is an AI-first consulting and technology firm helping enterprises transform the way they use data, artificial intelligence, and digital platforms. Founded from a long-standing background in financial technology, data engineering, analytics, and digital transformation, Fintricity works with organisations to move from strategy to production-ready solutions. Its approach combines business consulting, architecture, software engineering, data science, agile delivery, and change management to help clients build practical, scalable AI and data capabilities. Kendra Labs is Fintricity’s technology and innovation venture, focused on building enterprise-grade AI, data, and agentic infrastructure. The platform helps organisations bring together fragmented data, create trusted AI-ready knowledge layers, deploy intelligent agents, and govern AI solutions at scale. Kendra Labs is designed for businesses that want to become AI-first: using data, automation, and agentic systems to improve decision-making, operational efficiency, and product innovation. Together, Fintricity and Kendra Labs combine deep consulting expertise with proprietary AI platform capability. We work at the intersection of strategy, engineering, data, and applied AI, helping clients design, build, and deploy intelligent solutions that deliver measurable business outcomes. Our teams operate with an AI-first mindset, using modern tools, automation, and agentic workflows to accelerate delivery while maintaining strong governance, security, and enterprise readiness. We are looking for people who want to work on meaningful AI and data transformation challenges, contribute to cutting-edge agentic technology, and help organisations move confidently into the next generation of intelligent enterprise systems. About the Role Fintricity and Kendra Labs are building enterprise-grade AI infrastructure for the next generation of agentic systems. Our work spans AI gateways, model orchestration, MCP/tool gateways, agent control planes, identity, governance, security, data platforms, code intelligence, and production-grade AI automation. We are looking for an AI Engineer who can design, build, evaluate, and operate reliable AI systems in real-world enterprise environments. You will work across Fintricity and Kendra Labs to turn frontier AI capability into robust products, internal platforms, customer-facing solutions, and repeatable engineering patterns. This role is ideal for an engineer who combines strong software engineering fundamentals with hands-on experience in LLMs, agents, retrieval, evaluation, observability, and secure production deployment. Responsibilities Design, build, and maintain AI-powered applications, agents, workflows, and platform components across Fintricity and Kendra Labs. Develop production-grade LLM and agentic systems using modern AI engineering patterns, including tool calling, retrieval, orchestration, memory, evaluation, and human-in-the-loop controls. Build integrations with enterprise systems, APIs, data sources, model providers, vector stores, code repositories, and MCP-compatible tools. Contribute to core Kendra Fabric modules, including AI gateway, agent control plane, MCP/tool gateway, code graph, data plane, identity, security, and governance capabilities. Implement robust evaluation pipelines for model quality, agent behaviour, latency, cost, reliability, and safety. Design and improve prompt, context, and workflow patterns for repeatable enterprise use cases. Build observability, tracing, logging, and debugging capabilities for AI systems in development and production. Work with product, engineering, customer, and leadership teams to convert ambiguous business problems into practical AI solutions. Apply secure engineering practices for authentication, authorization, data handling, auditability, model access, and tool execution. Prototype rapidly, validate assumptions with evidence, and harden successful prototypes into maintainable production systems. Document architecture, design decisions, technical trade-offs, and operational runbooks clearly. Requirements Strong software engineering experience in Python, TypeScript, or both. Practical experience building with LLMs, AI APIs, agent frameworks, RAG systems, tool calling, or workflow orchestration. Understanding of modern AI system design: context engineering, retrieval, embeddings, vector databases, structured outputs, function calling, evaluations, guardrails, and observability. Experience designing and consuming APIs, working with cloud services, and deploying production systems. Ability to reason about reliability, latency, cost, security, privacy, and maintainability in AI applications. Strong debugging skills across application code, model behaviour, data pipelines, prompts, and external integrations. Familiarity with Git-based development, CI/CD, testing, code review, and engineering documentation. Comfortable working in a fast-moving environment where product direction, technical architecture, and customer needs evolve quickly. Clear written and verbal communication, with the ability to explain complex AI and engineering concepts to technical and non-technical stakeholders. Evidence of ownership: you can take a problem from discovery through design, implementation, testing, deployment, and iteration. Nice to Haves Experience with MCP, agent platforms, tool gateways, AI gateways, model routers, or multi-provider LLM infrastructure. Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants/Responses APIs, Anthropic Claude, Gemini, or comparable frameworks and APIs. Experience building enterprise AI, governance, security, compliance, or regulated-industry systems. Experience with knowledge graphs, code intelligence, repo analysis, semantic search, or large-codebase understanding. Experience with observability tools such as OpenTelemetry, LangSmith, Arize/Phoenix, Helicone, Portkey, or similar platforms. Experience with vector databases and search systems such as pgvector, Qdrant, Weaviate, Pinecone, OpenSearch, Elasticsearch, or Vespa. Experience with cloud platforms such as AWS, Azure, GCP, Vercel, Cloudflare, or Kubernetes-based environments. Experience with identity, access control, SSO, RBAC/ABAC, audit logs, secrets management, or secure tool execution. Contributions to open-source AI, developer tooling, infrastructure, or automation projects. Prior experience in consulting, product engineering, startup environments, or customer-facing technical delivery. What Success Looks Like You ship useful AI systems that move from prototype to production. You make AI behaviour measurable, observable, and improvable. You reduce ambiguity by creating clear technical plans, tests, evaluations, and documentation. You help establish reusable engineering patterns for Fintricity and Kendra Labs. You balance speed with reliability, security, and long-term maintainability. Apply Now About the company Fintricity Actively Hiring We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment 11-50 Employees London 11-50 Artificial Intelligence Big Data Analytics Financial Services Big Data Artificial Intelligence Big Data Analytics Artificial Intelligence / Machine Learning Early Stage Employees joined from Stanley Black & Decker Ontario Tech University Agthia Group Sharah Media Company Catholic Crosscultural Services Learn more about Fintricity Founders Alpesh Doshi Founder London View the team Similar Jobs Fena (formerly FaizPay) Fena - Seamless access to Open Banking payments Fullstack JavaScript Developer - SaaS and payments £25k – £45k • 0.25% – 1.5% Apply Diddo Bringing shopping to video on all screens Software Engineer £60k – £110k • 0.02% – 0.3% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Flow Engineering Collaborative design for complex hardware projects Software Engineer- London £70k – £120k • 0.01% – 0.1% Apply Countly Product Analytics and Innovation. Build better customer journeys Senior Software Engineer $66k – $80k • No equity Apply Askria Askria is a virtual co-founder that ensures that startups are operating efficiently 🚀 Tech Lead – Backend / Data / GenAI $25k – $65k • 0.1% – 0.5% Apply braind we build the future of Enterprise Software Founding Engineer $1k – $1k • 0.1% – 10.0% Apply Nika Trade anything. Own everything Senior Engineer (Full-Stack, Web3) $150k – $220k • 0.0% – 2.0% Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. 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Lamatic.ai All in one stack to build reliable Agentic System B2B Early Stage Save Apply Now Applied AI Engineer (Internship) $6k – $10k • No equity | Remote ( Europe +3 ) • India +2 |1 year of exp |Internship Posted: 1 month ago Job Location India • Miami • United States Remote Work Policy Onsite or remote Hires remotely in Europe - India - North America - South America Visa Sponsorship Not Available Preferred Timezones Eastern Time Relocation Allowed Skills Content Management Opensource DevRel About the job 🚨 Only apply at: https://lamatic.ai/docs/career Company Overview: Lamatic.ai is a forward-thinking AI application development and deployment platform, known for its integration of Large Language Models (LLMs) into real-time data applications. We emphasize a collaborative approach with a simple GraphQL API and an intuitive dashboard, empowering users to deploy custom AI applications efficiently. Our platform significantly reduces development time and costs in the AI technology sector. Benefits: Work in a leading AI application development platform. Learning and mentorship from founders of multiple Tech Companies. Exposure to cutting-edge technologies and the chance to work on innovative projects. Fully Remote setup. Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits. A dynamic, creative, and supportive work environment. Job Description: Applied AI Intern Lamatic.ai is seeking an Applied AI Intern with ambition and aptitude. In this role, you will ensure that new Lamatic customers derive value quickly by helping them design and configure the Lamatic Flows needed to achieve their goals. You’ll be an essential partner in their success, driving customer satisfaction and adoption. This role offers a base salary plus a variable compensation tied to the number of onboardings, degree of adoption, NPS ratings, and revenue generated from new customers. Key Responsibilities Understand Customer Needs: Gather and analyze customer requirements to ensure solutions align with their business objectives. Design and Configure: Translate customer needs into functional Lamatic Flow configurations using Generative AI and coding expertise. Customer Education: Train customers on how to use Lamatic to empower them to independently manage and scale their solutions. Deliver Value Quickly: Ensure customers derive measurable value during onboarding, fostering long-term success. Feedback Loop: Collaborate with product and engineering teams to share customer insights that drive continuous improvement. --- ### Qualifications Interest in Generative AI: Proven interest and aptitude in designing agentic systems using Generative AI technologies. Coding Proficiency: Skilled in JavaScript for configuring Lamatic Flows. Customer Orientation: Strong customer service and sales aptitude, with a focus on delivering excellent experiences. Communication Skills: Exceptional verbal and written communication skills to clearly convey technical concepts to diverse audiences. Detail-Oriented: Highly organized and meticulous, ensuring accuracy in configurations and communication. Startup Mindset: Comfortable thriving in a fast-paced, dynamic startup environment with a bias for action. --- ### Why Join Lamatic.ai? At Lamatic, you’ll work at the cutting edge of Generative AI, helping SaaS teams accelerate innovation. As part of a growing company, you’ll have the opportunity to make a meaningful impact, learn new skills, and advance your career in a fast-evolving field. If you’re excited about technology, passionate about helping customers succeed, and looking to grow as a technical expert, we’d love to hear from you! Apply today to start your journey with Lamatic.ai. Apply Now About the company Lamatic.ai All in one stack to build reliable Agentic System 11-50 Employees Miami 11-50 Private Company B2B Artificial Intelligence Natural Language Processing B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning B2B Early Stage Employees joined from Entrepreneur First Mobile-web.dev Twimbit DevOps Institute Atlancey Learn more about Lamatic.ai Funding AMOUNT RAISED Undisclosed amount FUNDED OVER 1 round Round PRE Undisclosed amount Pre-Seed - Jan 2024 View Lamatic.ai's funding history Perks For Early Employees Remote friendly Flexible Work Hours Less Meetings Professional development Explore Lamatic.ai's perks and benefits Founders Aman sharma Founder Singapore View the team Similar Jobs Swoop Technologies A secure, distributed operating system for the physical world Software Engineer - Embedded Systems $125k – $200k • 0.005% – 0.01% Apply India Tech Engine Custom Software Development for all Businesses Full Stack Developer (React.js + Node.js) $25k – $35k • No equity Apply Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Hevo Data No Code Data Pipeline SDE III _ Tech Lead ₹30L – ₹60L Apply Sitewire Build the Infrastructure enabling America’s next housing boom Full-Stack Software Engineer $130k – $200k • 0.0% – 0.1% Apply EaseOps Salesforce for hospital operations—automating compliance, workflows, and patient services for India Backend Intern ₹1L – ₹2L • No equity Apply Finch Care Self-Care Virtual Pet Product Engineer $220k – $260k • 0.0% – 0.1% Apply Vansun Mediatech We Build Businesses that Help People Make Confident Choices Software Engineer (Intern) (In-Office) ₹6L – ₹6L • No equity Apply Software Velocity A platform for auto-generating test automation code for any type of software Senior Software Engineers (Front-End) - Reinventing Software Testing (full-time) $90k – $120k • 0.5% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Lamatic.ai All in one stack to build reliable Agentic System B2B Early Stage Save Apply Now Applied AI Engineer $20k – $40k • 0.0% – 1.0% | Remote ( Europe +3 ) • India +2 |1 year of exp |Full Time Reposted: 1 month ago Job Location India • Miami • United States Remote Work Policy Onsite or remote Hires remotely in Europe - India - North America - South America Visa Sponsorship Not Available Preferred Timezones Eastern Time Relocation Not Allowed Skills Content Management Opensource DevRel About the job 🚨 Only apply at: https://lamatic.ai/docs/career Company Overview: Lamatic.ai is a forward-thinking AI application development and deployment platform, known for its integration of Large Language Models (LLMs) into real-time data applications. We emphasize a collaborative approach with a simple GraphQL API and an intuitive dashboard, empowering users to deploy custom AI applications efficiently. Our platform significantly reduces development time and costs in the AI technology sector. Benefits: Work in a leading AI application development platform. Learning and mentorship from founders of multiple Tech Companies. Exposure to cutting-edge technologies and the chance to work on innovative projects. Fully Remote setup. Employee Stock Options ( ESOP ) Competitive salary and comprehensive benefits. A dynamic, creative, and supportive work environment. Job Description: Applied AI Engineer Lamatic.ai is seeking an Applied AI Engineer with ambition and aptitude. In this role, you will ensure that new Lamatic customers derive value quickly by helping them design and configure the Lamatic Flows needed to achieve their goals. You’ll be an essential partner in their success, driving customer satisfaction and adoption. This role offers a base salary plus a variable compensation tied to the number of onboardings, degree of adoption, NPS ratings, and revenue generated from new customers. Key Responsibilities Understand Customer Needs: Gather and analyze customer requirements to ensure solutions align with their business objectives. Design and Configure: Translate customer needs into functional Lamatic Flow configurations using Generative AI and coding expertise. Customer Education: Train customers on how to use Lamatic to empower them to independently manage and scale their solutions. Deliver Value Quickly: Ensure customers derive measurable value during onboarding, fostering long-term success. Feedback Loop: Collaborate with product and engineering teams to share customer insights that drive continuous improvement. --- ### Qualifications Interest in Generative AI: Proven interest and aptitude in designing agentic systems using Generative AI technologies. Coding Proficiency: Skilled in JavaScript for configuring Lamatic Flows. Customer Orientation: Strong customer service and sales aptitude, with a focus on delivering excellent experiences. Communication Skills: Exceptional verbal and written communication skills to clearly convey technical concepts to diverse audiences. Detail-Oriented: Highly organized and meticulous, ensuring accuracy in configurations and communication. Startup Mindset: Comfortable thriving in a fast-paced, dynamic startup environment with a bias for action. --- ### Why Join Lamatic.ai? At Lamatic, you’ll work at the cutting edge of Generative AI, helping SaaS teams accelerate innovation. As part of a growing company, you’ll have the opportunity to make a meaningful impact, learn new skills, and advance your career in a fast-evolving field. If you’re excited about technology, passionate about helping customers succeed, and looking to grow as a technical expert, we’d love to hear from you! Apply today to start your journey with Lamatic.ai. Apply Now About the company Lamatic.ai All in one stack to build reliable Agentic System 11-50 Employees Miami 11-50 Private Company B2B Artificial Intelligence Natural Language Processing B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning B2B Early Stage Employees joined from Entrepreneur First Mobile-web.dev Twimbit DevOps Institute Atlancey Learn more about Lamatic.ai Funding AMOUNT RAISED Undisclosed amount FUNDED OVER 1 round Round PRE Undisclosed amount Pre-Seed - Jan 2024 View Lamatic.ai's funding history Perks For Early Employees Remote friendly Flexible Work Hours Less Meetings Professional development Explore Lamatic.ai's perks and benefits Founders Aman sharma Founder Singapore View the team Similar Jobs Aura Frames Unlimited memories, from phone to frame Senior Software Engineer, Infrastructure - Scaling & Performance $180k – $245k Apply Pragma (formerly Logisy) D2C SuperApp for brands to perform all their operations from a single place [Internship] Customer Success Specialist ₹20,000 – ₹25,000 Apply Monte Carlo New Relic for data teams Strategic Sales Development Representative $0k – $100k Apply Zipline Our mission is to create the global logistics system that serves all humans equally Software Engineer - Embedded Firmware $160k – $250k Apply Flux Auto Physical AI for Warehouses and Factories Robotics Engineer - Path Planning ₹3L – ₹10L • No equity Apply EaseOps Salesforce for hospital operations—automating compliance, workflows, and patient services for India Backend Intern ₹1L – ₹2L • No equity Apply Luminary Luminary's platform enables wealth advisors to deliver complex trust planning Customer Success Manager $130k – $165k Apply Cuebo.ai Revolutionizing Sales Teams with AI Solutions Software Engineer ₹40,000 – ₹80,000 • No equity Apply Arch Arch is the digital admin for private investments Internal Tools Developer $70k – $100k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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TRAKO INFRA INDIA Building for Good Growth Stage Save Apply Now Junior AI Engineer Remote ( India ) |2 years of exp |Full Time Posted: 2 months ago• Recruiter recently active Hires remotely in India Remote Work Policy Remote only Company Location Delhi Visa Sponsorship Not Available Relocation Allowed Skills Python React.js LangChain Retrieval-Augmented Generation (RAG) LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect About the job Job Description: We are looking for a passionate and curious Junior AI Engineer to join our team. The ideal candidate should have a strong interest in Artificial Intelligence and Large Language Models (LLMs), along with basic Python programming skills. This role offers an excellent opportunity to work on AI-powered applications, experiment with leading LLM technologies, and learn from experienced engineers. Key Responsibilities: Develop and integrate AI-powered features using LLM APIs. Design and optimize prompts for reliable AI outputs. Work with APIs, JSON data, and backend integrations. Evaluate AI responses and improve system performance. Research emerging AI tools, models, and best practices. Document workflows and collaborate with the engineering team. Required Skills: Basic to intermediate proficiency in Python. Understanding of LLM concepts such as prompts, tokens, context windows, and model limitations. Familiarity with APIs, JSON, and Git. Strong analytical and problem-solving skills. Ability to learn independently and adapt to new technologies. Good to Have: Exposure to OpenAI, Gemini, Claude, or open-source LLMs. Knowledge of LangChain, LlamaIndex, RAG, or AI agents. Understanding of REST APIs and software development fundamentals. Qualification: Bachelor's degree (or pursuing) in Computer Science, Engineering, Mathematics, or related fields. Relevant certifications and personal AI projects are highly valued. Apply Now About the company TRAKO INFRA INDIA Building for Good 201-500 Employees Delhi 201-500 Infrastructure Growth Stage Employees joined from Hindustan Aeronautics Weizmann Group Qspiders Outworks Solutions Private Ltd. Eclat Engineering Consultants Learn more about TRAKO INFRA INDIA Similar Jobs Zooty by Mazout Electric Autonomous micro-mobility vehicles for Logistics, Patrolling and Taxi Firmware Software Engineer ₹5L – ₹7.5L • No equity Apply VdoCipher Piracy Protection & Custom Player for E-learning, OTT & Developers Product Support Engineer/Technical Support Engineer (B2B) ₹11L – ₹18L • 0.05% – 0.05% Apply CipherSchools Creator economy led educational video streaming platform for students Mentor- Competitive Programming | Teaching ₹8L – ₹15L • No equity Apply Kawa Space ELINT & SIGINT Software Lead - Satellite Payload Development ₹36L – ₹45L • No equity Apply Dobbe AI Data Science Intern ₹1L – ₹1.8L • No equity Apply DeepRunner Build next gen AI products Sr Application Engineer ₹15L – ₹45L Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI AI-ML Engineer ₹1L – ₹2.5L • No equity Apply Jabali Democratize game development Game Programmer (Generative AI) $20k – $80k • 0.0% – 0.1% Apply Cypherock Wallet Personal Fort Knox for Your Crypto Software Engineer (Functional Programming) ₹8L – ₹20L • 0.01% – 1.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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ElementSkill Save Apply Now AI/ML Engineer (FDE) Remote ( United States ) |5 years of exp |Full Time Posted: 2 months ago Hires remotely in United States Remote Work Policy Remote only Company Location Pune Visa Sponsorship Not Available Preferred Timezones Eastern Time Relocation Allowed Skills Microsoft Azure AWS GCP PyTorch Generative AI LLMs LangChain Retrieval-Augmented Generation (RAG) Langgraph About the job Location: Remote (with approximately 25% travel) | Reports to: Global AI Center of Excellence Lead Role Overview We are looking for a Forward Deployed AI Engineer to join our AI team and partner directly with enterprise clients to deploy, configure, and operationalize AI-driven workflow solutions. This is a high-impact, client-facing engineering role that bridges technical implementation and strategic solution delivery. You will collaborate with business consultants, product engineers, and customer stakeholders to turn real-world operational challenges into production-ready AI solutions — including agentic workflows, intelligent automations, and enterprise integrations. In parallel, you will contribute to the evolution of internal AI platforms, accelerators, and reusable intellectual property. This role calls for strong full-stack engineering skills, a genuine curiosity for emerging AI technologies, and the ability to deliver results in fast-paced customer environments. Key Responsibilities Client Delivery & AI Solution Implementation • Deploy and configure agentic AI workflows and intelligent automations within enterprise client environments. • Translate business requirements into technical architectures and actionable implementation plans. • Implement and integrate pre-built AI solution packs into enterprise ecosystems. • Work closely with clients to tailor AI capabilities to their specific operational workflows and business processes. Solution Engineering & Prototyping • Build demos, prototypes, and proof-of-concept solutions to validate AI-driven use cases with clients. • Rapidly iterate on solutions to refine and improve AI-powered workflows. • Support the implementation of AI orchestration, LLM integrations, and agentic decision-making models. Full-Stack Engineering & Integration • Develop integrations between enterprise platforms, APIs, and AI services. • Build supporting components including scripts, microservices, automation logic, and integration services. • Connect AI platforms with enterprise data sources to enable intelligent, data-driven workflows. Platform & Product Contribution Actively contribute to the development of internal AI platforms and reusable solution assets, including: • Identifying recurring patterns and capabilities discovered during client engagements. • Contributing reusable components and automation assets to the shared platform. • Providing structured product feedback that drives platform improvements. • Helping transform successful client implementations into repeatable, scalable features. Client Interaction & Technical Consulting • Participate in workshops, discovery sessions, and technical working sessions with customers. • Serve as the engineering counterpart to consulting and delivery teams. • Communicate architecture decisions, system behavior, and technical trade-offs clearly to both technical and business stakeholders. Systems Integration & Reliability • Diagnose and resolve issues across AI workflows, integrations, and automation pipelines. • Ensure deployed solutions are secure, scalable, and production-ready. • Optimize systems for performance, reliability, and long-term maintainability. Cross-Team Collaboration Work closely with cross-functional teams including: • Business Process Consultants • Product Engineering • Data Engineers • AI/ML Engineers • AI Center of Excellence teams Contribute to internal playbooks, deployment patterns, and product evolution. What Success Looks Like (First 6 Months) • Successfully deploy AI-powered solutions across multiple client engagements. • Deliver functioning AI workflows and integrations within enterprise environments. • Build trusted, collaborative relationships with both customer teams and internal delivery stakeholders. • Contribute reusable components and meaningful improvements to internal AI platforms. • Provide actionable feedback that enhances platform capabilities and accelerates delivery. Required Qualifications • 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems. • Strong engineering foundation with hands-on experience in full-stack development, scripting, or enterprise integrations. • Demonstrated experience working with AI/LLM technologies or AI-powered applications. • Prior experience in client-facing engineering or technical consulting roles. • Familiarity with cloud platforms such as AWS, Azure, or GCP. • Proficiency in JavaScript/TypeScript, Python, or similar scripting languages. • Strong communication skills — able to convey complex technical concepts to both technical and non-technical audiences. Preferred Qualifications Enterprise Workflow Platform Experience • Experience with workflow automation platforms (e.g., ServiceNow or similar). • Familiarity with platform scripting, APIs, and development patterns. • Understanding of enterprise data models including configuration management, workflow/task management, knowledge bases, and system integrations. AI & Platform Experience • Experience building AI prototypes, RAG (Retrieval-Augmented Generation) systems, or agent-based workflows. • Experience integrating LLM APIs or AI services into enterprise applications. • Familiarity with vector databases, embeddings, or semantic retrieval. • Track record of contributing to internal platforms, reusable accelerators, or shared product capabilities. Why This Role Matters Forward Deployed AI Engineers serve as the critical link between enterprise business challenges and cutting-edge AI platforms. By working hands-on with customers, you will create immediate, tangible value — while also shaping the future direction of our AI products, accelerators, and platform capabilities. This role is central to our AI strategy and the scaling of our AI platform and Foundry operations. We are proud to be an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace. Employment decisions are made without regard to race, gender, religion, age, disability, national origin, sexual orientation, or any other protected status. Apply Now About the company ElementSkill 1001-5000 Employees Pune 1001-5000 HR / Recruiting Learn more about ElementSkill Similar Jobs Nextdoor Nextdoor is the private social network for your neighborhood Senior Software Engineer - Backend $165k – $250k Apply Instrumentl The best platform for nonprofits looking to grow revenue (YC S16) Senior Full Stack Software Engineer $160k – $190k Apply Uncountable Accelerating R&D via Machine Learning Software Engineer for Chemistry Applications $80k – $100k • 0.005% – 0.025% Apply Neuralink Ultra-high bandwidth brain-machine interfaces to connect humans and computers Software Engineer, Robotics $119k – $200k Apply Archesys Improving the government services that impact everyday lives .NET Software Engineer – Frontend Focus - U.S. Citizen (Remote) $65k – $95k • No equity Apply Pie Systems Digital VAT Refunds for Tax Free Shopping Sr. Fullstack Engineer (RoR) $75k – $150k • 0.0% – 0.5% Apply C3 AI C3 AI is a leading enterprise AI software provider for accelerating digital transformation Senior Software Engineer, Full Stack - Applications $169k – $196k Apply Dinari The everything investment platform for your business Senior Backend Engineer $120k – $200k • 0.1% – 0.5% Apply Assured Automated claims are now a reality Staff Software Engineer, Platform $200k – $230k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Reedsy Actively Hiring A friendly place for authors to learn, create and market the best indie books Growth Stage Top Investors Save Apply Now AI Engineer - Remote Europe €70k – €120k • 0.0% – 0.2% | Remote ( Spain • France +4 ) |3 years of exp |Full Time Reposted: 2 months ago Hires remotely in Spain - France - United Kingdom - Poland - Netherlands - Portugal Remote Work Policy Remote only Company Location London Visa Sponsorship Not Available Relocation Not Allowed Skills ElasticSearch ML Prompt Engineering Finetuning LLMs, Langchain, Llama-Index, Huggingface Hiring contact Carolina Escobar Recruiter London About the job About Reedsy We’re here to give authors the tools and resources they need to create beautiful books. Our marketplace gathers the industry's best publishing professionals — the likes of Neil Gaiman's editor, Nora Roberts' book marketer, and GRRM’s cover designer. We’ve grown to a community of 5,000,000 authors, and transformed the way people write and publish their book. Want to hop on board and help us get to our next destination? Cool, keep reading! Responsibilities At Reedsy, our goal is to build the best ecosystem for writers, supporting them at every stage of their creative journey. Over the years, we've developed a suite of products, including a marketplace, book discovery platform, writing app, central authentication system, and email marketing tools. As a publishing startup, we're thoughtful about how we integrate AI. As an AI Engineer, you'll help us empower authors to do more — enhancing creativity, not replacing it. You’ll focus on building intelligent features that support storytelling and streamline workflows. In this role, you will: Design and implement AI-powered tools for authors (e.g. a narrative co-pilot, visual storyboarding assistant, etc.); Improve internal workflows by automating repetitive tasks and enhancing UX across our products; Build internal tools for AI development, including evaluation benchmarks and automated testing; Collaborate closely with engineers and operations teams to identify high-impact AI opportunities. Requirements Proven experience integrating AI/ML into real-world products, with ownership of the full lifecycle — from modeling and evaluation to deployment and go-to-market execution. Experience working with large language models (e.g., prompt engineering, fine-tuning, model selection, retrieval-augmented generation) Familiarity with orchestration tools (e.g., LangChain, LlamaIndex, or custom chaining frameworks) Knowledge of hallucination detection and mitigation strategies Hands-on experience with cloud platforms (preferably Google Cloud Platform) and scalable AI deployment Familiarity with embeddings, vector databases, and Elasticsearch Experience with AI developer tooling (e.g., Cursor, intelligent CI/CD, AI-powered QA) Bonus Points Fluent in multiple languages. Reedsy welcomes applicants of all cultures and backgrounds. A good dose of ambition, a willingness to learn, and a great sense of humor Benefits Work from home Paid paternal and maternal leave Annual team retreat Salary range: 70k-120k EUR - 0-0.2% equity Apply Now About the company Reedsy Actively Hiring A friendly place for authors to learn, create and market the best indie books 11-50 Employees London 11-50 Limited Company Digital Media Publishing E-Books Writers Growth Stage Top Investors Learn more about Reedsy Funding AMOUNT RAISED Undisclosed amount FUNDED OVER 3 rounds Rounds U Undisclosed amount Unknown - Apr 2020 +2 View Reedsy's funding history Perks Paid maternal and paternal leave Equity benefits Remote friendly Reedski, our annual ski trip Explore Reedsy's perks and benefits Founders Matthew Cobb The Art Department • 12 years Nottingham Ricardo Fayet CMO • 12 years Madrid Vincent Durand CTO • 12 years Paris View the team Similar Jobs Fintricity We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment AI Data Scientist – Generative AI, Agentic & LLM Research $20k – $100k Apply Checkatrade Find checked trades, compare quotes, book jobs — all in one app. A job done right, made easy Data Scientist £50k – £70k Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business 2026 AI/ML Research Fellow $60k – $120k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and AI Engineer - London £90k – £160k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and Quant Engineer - London £110k – £200k Apply Permutive Performance and privacy. 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Axle Mobility The all-in-one partner for commercial electric vehicle repair and maintenance B2B Early Stage Save Apply Now Applied AI Engineer Remote ( United States ) • Los Angeles |Full Time Posted: 1 year ago Job Location Los Angeles Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed Hiring contact Maryam S Khan Founder About the job About Axle Axle is rebuilding the back office of commercial vehicle operations with AI-native tools for the people who keep the world moving: technicians, service leaders, drivers, operators, fleet managers and executives. Our products already power real workflows for fleets and service providers, and demand continues to accelerate as customers pull the product into their operations. We’re backed by top investors like Base10 and supported by industry leaders who see Axle as the blueprint for the future of fleet repair and maintenance operations. More About This Role This is an applied AI role: you’ll own the model lifecycle from research to production, work closely with product and engineering to get features into the hands of customers fast, and iterate based on immediate feedback from the field. The work you do will directly shape how the $160B fleet repair industry is managed in the next decade. What You’ll Do Design, train, and deploy AI-powered features like speech-to-text transcription, entity extraction, classification and help shape our evaluation and experimentation platform Work with messy, domain-specific data, shop-floor audio, unstructured repair notes, scanned documents Integrate models directly into Axle’s mobile and web products, working closely with full-stack engineers to get features into users’ hands fast Rapidly experiment with model architectures, fine-tuning strategies, and data-cleaning approaches to improve accuracy and usability Monitor real-world performance in production, tuning for accuracy, latency, and cost efficiency Explore and prototype new AI capabilities from 0–1 across a clear customer-approved roadmap What Makes You a Great Fit 2-5 years of applied AI/ML engineering experience in an enterprise, startup, or product-focused setting Strong Python skills, with experience in ML/NLP frameworks Hands-on experience with speech-to-text systems, or classification models Comfortable working with unstructured, noisy datasets in real-world environments Excited to work at an early-stage startup where you’ll own projects end-to-end and ship quickly Collaborative, curious, low ego Bonus Points Interest in applying AI to physical or “built world” environments Exposure to mobile-first or offline-first applications Founder or founding team experience - you’ve been in and like working in small teams What We Offer A product with real pull from customers, and a high-agency, close-knit team Competitive compensation + early-stage equity Benefits including medical, dental, and vision insurance + 401k A generous home-office and equipment budget LA office in the Arts District and frequent team meetups Apply Now About the company Axle Mobility The all-in-one partner for commercial electric vehicle repair and maintenance 1-10 Employees Los Angeles 1-10 Clean Technology Automotive Electric Vehicles Education Technology B2B Early Stage Employees joined from Amazon ANN INC. University of South Carolina School of Law CarMax Dignosco Learn more about Axle Mobility Founders Maryam S Khan Founder View the team Similar Jobs Tatari Buy and measure ads for brands across linear & streaming TV Data Science Manager $160k – $220k Apply Tatari Buy and measure ads for brands across linear & streaming TV Data Science Analyst $70k – $85k Apply Enigma Technologies Enigma provides trusted business data built on unparalleled entity resolution Senior/Staff Machine Learning Engineer, Match Team $180k – $295k Apply America on Tech AOT is a nonprofit preparing the next gen of tech leaders from underestimated communities Intro to AI Instructor-LA $7k – $7k • No equity Apply Quilter Compiler for printed circuit boards Senior ML Engineer $180k – $200k Apply River River is a new platform where you can chat, search, and shop, and get paid for all of it Lead Data Scientist / Machine Learning Engineer – Knowledge Graph & Agentic AI $90k – $120k • 0.5% – 1.0% Apply Snout Pet wellness plans that actually work Analytics Engineer $100k – $160k • No equity Apply CenterCheck The most comprehensive database for retail sales performance Data Scientist and Data Engineer $65k – $120k • 0.0% – 1.0% Apply AI Training Jobs A platform for remote AI training jobs Senior Software Engineer — AI Automation $220k – $300k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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polyaxon Cloud native machine learning automation platform Save Apply Now Machine Learning Engineer Remote ( Everywhere ) • Berlin |Full Time Reposted: 2 years ago Job Location Berlin Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job We are looking for a senior machine learning engineer with software engineering skills. We expect you to have Familiarity with Machine Learning frameworks (Tensorflow, Pytorch, Scikit-Learn, XGBoost, etc.) Strong Programming Skills (Python, Golang, TypeScript, JavaScript, C++, etc.) Excitement to scale up experimentation, parallel jobs, hyperparameter tuning, automation using Dockers, Kubernetes, Cloud native tools Understanding of Distributed systems, Data Streaming, Map Reduce, Graphs, and Storage/File systems You will Join highly motivated, curious, hardworking engineers in the field of ML/AI/Infrastructure Work closely with founding team in developing hyperscalable software for ML experimentation and automation Enjoy the tough startup journey towards building endurable business About Polyaxon We're building a Cloud Native Machine learning Automation Platform. We are making a system that solves reproducibility, automation, and scalability for machine learning and deep learning applications. With increasingly fragmented landscape of disparate tools, applications, computation resources across different special hardware and cloud providers, Polyaxon unifies and abstracts away infrastructure for easier and highly efficient machine learning and deep learning workflows. Apply Now About the company polyaxon Cloud native machine learning automation platform 1-10 Employees Berlin 1-10 B2 B SaaS Artificial Intelligence Information Technology Open Source Machine Learning Artificial Intelligence Cloud Infrastructure Learn more about polyaxon Similar Jobs Modash.io We help e-com brands scale creator partnerships - helping millions of creators get paid Senior Product Engineer (remote, Europe) €60k – €100k Apply CityZeen Build Wealth, Heal Earth Head of Engineering - AI Stack $60k – $120k CAD • 0.001% – 1.25% Apply Fluent Labs The first blended execution network Front End Developer $80k – $120k • 0.1% – 0.4% Apply Metamindz Metamindz is a fast-growing UK-based IT software company Senior Full Stack Engineer (mainly BE) $96k – $120k • No equity Apply Banani AI AI that designs beautiful easy-to-use products Software Engineer €60k – €100k • 0.5% – 1.0% Apply ForestAI Building a cheat-proof validation system for navigating the AI-centric future Developer with motivation to understand the Business side & cutting edge AI $40k – $60k • No equity Apply Leapsome Align, enable, and develop high-performing teams Staff Product Engineer (d/f/m) €110k – €165k Apply telli AI phone calls that convert Engineering, Product €85k – €160k Apply telli AI phone calls that convert Engineering, Voice AI €85k – €160k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Jabali Democratize game development Early Stage Save Apply Now Machine Learning Engineer Remote ( Everywhere ) • Canada +2 |5 years of exp |Full Time Reposted: 10 months ago Job Location Canada • Mexico • United States Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Available Preferred Timezones Alaska, Pacific Time, Mountain Time, Central Time, Eastern Time Relocation Allowed About the job About the job As an ML Engineer at Jabali, you will be responsible for developing and deploying multi-modal machine learning models and algorithms for game content. Your role will involve working with designers and the AI research team to develop practical and efficient implementations of models, work with the curation of custom training data and task-specific models, as well as optimizing and deploying them for production. You will work closely with data scientists, research scientists, backend engineers, and game designers to understand business requirements and translate them into interactive end-user experiences. You will also work within your team to establish new benchmarks and test frameworks for generative AI models. Responsibilities: Develop and implement generative machine learning models and algorithms Collaborate with research scientists to curate and process video game datasets Design and train models using appropriate machine learning techniques including RLHF Optimize models for performance and scalability Deploy models into interactive production environments Monitor and evaluate model performance, making necessary improvements and updates Stay up to date with the latest machine learning techniques and technologies Qualifications: Advanced degree in Computer Science with specialization in AI and ML or equivalent qualifications, and relevant practical experience Solid understanding of machine learning algorithms and techniques Proficiency in programming languages such as Python or R Experience with machine learning frameworks such as TensorFlow or PyTorch Strong problem-solving and analytical skills Excellent communication and collaboration abilities Passion and knowledge of video games and user experience is desirable What We Offer: Competitive salary and benefits package. Amazing startup equity, typical for the first 10 engineers. Fully covered health benefits. How to Apply: Please send your resume, portfolio (if applicable), and github projects to recruiting [at] jabali [dot] ai. Include "ML Engineer Application" in the subject line. We look forward to your application and potentially welcoming you to our team! If you are passionate about AI/ML and are eager to apply your skills to real-world challenges working with challenging problems with big potential impact, we encourage you to apply for this position at Jabali About Jabali https://www.jabali.ai Your AI-Powered Game Creation Companion Jabali AI turns prompts into functioning games. From brainstorming concepts and generating assets to playtesting and publishing, Jabali leverages advanced AI to make game creation accessible, fast, and fun for everyone. Introduction Generative AI is racing into game development, and Jabali.ai is the leading, #1 platform to create and publish video games. It’s a no-code game creator for anyone who wants to turn a text prompt into a playable, share-ready game in minutes. Backed by a $5 million seed round, its Discord bot, mobile app and browser editor make rapid prototyping, asset generation, and one-click publishing accessible to hobbyists, classrooms, and indie studios. Prompt-to-Play in <5 minutes - /make "haunted mansion ruled by Jimmy the ghost" spins up levels, logic, art, and music faster than Unity or Unreal or ChatGPT or Midjourney or Lovable from scratch. AI Editing Refine characters, assets and music by editing prompts. Asset Generation Auto-generate sprites, background art, and music that match your game’s style. Upload /upload to upload custom knowledge, image and music to your game. No-Code, Low-Code - Start with natural-language commands and export to downloadable game when you need pro polish, capturing both no-code game maker and low-code game engine search intent. Cutting-edge multi-agent AI technology - An orchestration layer of LLM and diffusion agents parses the prompt, selects a genre template, autogenerates assets, and play-tests builds. Community-First Distribution — Weekly “Jabali Jam” events reward users for shipping AI-built games, a magnet for Discord game jam traffic. Apply Now About the company Jabali Democratize game development 1-10 Employees San Francisco Bay Area 1-10 Startup Games Startup With Purpose Video Games Artificial Intelligence / Machine Learning Early Stage Employees joined from Infosys Amazon Web Services Skillz ST Platform Walla!News Learn more about Jabali Funding AMOUNT RAISED $5M FUNDED OVER 1 round Round U $5000000 Unknown - Mar 2024 View Jabali's funding history Founders Jabali Recruiting Founder View the team Similar Jobs Kero Sports Real-time sports betting technology that turns live game data into in-play markets Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting $100k – $160k • 0.5% – 1.0% Apply Picovoice On-device AI platform for real-time voice, language, and vision understanding Deep Learning Researcher $75k – $150k CAD • 0.0% – 0.1% Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Array Building the Array! 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Vannin Group Save Apply Now Machine Learning Engineer Remote ( Everywhere ) • New York City |7 years of exp |Full Time Posted: 1 month ago Job Location New York City Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Allowed About the job About Vannin Group Vannin Group's Healthcare Division is building the operating system for modern healthcare. Our flagship product, Greencube, is a HIMSS Stage 7 certified electronic health record used across large-scale clinical deployments. We are investing in AI and machine learning to support clinical decision support, operational optimisation, and predictive analytics at scale. The Role We are hiring Machine Learning Engineers to join the Greencube AI team. You will design, build, and deploy production-grade machine learning models powering clinical decision support, early-warning alerts, patient-flow optimisation, and medication safety workflows. Key Responsibilities Design, train, and deploy production machine learning models for clinical and operational use cases. Build reliable ML pipelines and support MLOps best practices. Work with clinicians, data scientists, and software engineers to translate healthcare problems into robust model-driven products. Support explainability, clinical safety, and regulatory readiness for AI-enabled features. Optimise model latency, cost, reliability, and scalability across cloud infrastructure. Contribute to the technical direction of the Greencube AI platform. Essential Requirements 5+ years of machine learning engineering experience. Strong Python experience and practical knowledge of frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn. Experience with ML pipelines or platforms such as MLflow, Kubeflow, Vertex AI, or SageMaker. Strong software engineering fundamentals and cloud infrastructure experience on AWS, GCP, or Azure. Clear communication style and pragmatic product judgement. Desirable Experience with healthcare data, EHRs, HL7, FHIR, DICOM, or clinical NLP. Experience with LLMs, foundation models, or generative AI. Familiarity with clinical safety, ISO 14971, IEC 62304, or medical device regulation. Postgraduate degree in machine learning, statistics, computer science, or a related field. What We Offer High-impact machine learning problems in healthcare. Competitive salary, bonus, and equity. New York office at 30 Broad Street, Financial District, with hybrid working. Medical, dental, and vision insurance, 401(k), and generous paid time off. Learning budget, conferences, and research-paper support. Apply Please apply via Vannin Group or send your CV and covering letter to office@vanningroup.com quoting reference VH-08. Source role page: https://vanningroup.com/open-position/machine-learning-engineer Vannin Group is an equal-opportunities employer. Apply Now About the company Vannin Group 51-200 Employees New York City 51-200 Health Care Information Technology Learn more about Vannin Group Founders Oliver van Veen Founder View the team Similar Jobs Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Kinetic Trials Accelerate development of life changing therapies with the first agentic OS for clinical trials Head of Engineering / CTO $175k – $250k Apply Loyalist AI-powered revenue engine for hospitality Founding Account Executive $140k – $220k Apply Stealth Startup Senior AI Engineer -- Stealth Startup $150k – $200k • 0.1% – 0.5% Apply Kosha AI Turning in-person field sales convos into the largest dataset of commercial intelligence w/ voice AI Founding Engineer, Voice AI + Mobile $120k – $200k • 0.5% – 2.0% Apply Kosha AI Turning in-person field sales convos into the largest dataset of commercial intelligence w/ voice AI Founding Hardware Engineer, Smart Glasses and Computer Vision $120k – $200k • 0.5% – 2.0% Apply Earlston Academy AI Career Focused Skills Training Senior Software Engineering Instructor $80k – $150k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Siloet Actively Hiring AI Social Perception Engine Top 5% of responders Responds within a few days Save Apply Now Machine Learning Engineer $50k – $60k • No equity | Remote ( United States ) |3 years of exp |Full Time Reposted: 2 weeks ago• Recruiter recently active Hires remotely in United States Remote Work Policy Remote only Company Location Ethiopia Visa Sponsorship Not Available Preferred Timezones Pacific Time Collaboration Hours 8:00 AM - 6:00 PM Pacific Time Relocation Not Allowed Skills Python Machine Learning Algorithms, Deep Learning, Artificial Neural Networks LLMs, Langchain, Llama-Index, Huggingface LLM Fine Tuning/ Lora/ QLora MLOPs: AWS Sagemaker, CI/CD Pipelines (github Actions), DVC, Dagshub, Docker, MLflow vLLMs About the job ML Engineer - Siloet.ai Siloët is building intelligent software that combines machine learning, computer vision, distributed systems, and scalable software engineering to solve complex real world problems. Key Responsibilities Architect a hybrid AI pipeline that moves core data scoring off expensive foundational models, utilizing fast embedding models for data retrieval and cross-encoders for precise, cheap scoring. Drive massive compute cost reductions by using frontier models to generate training data ("silver labels"), then fine-tuning smaller, cheaper specialized models to handle daily production traffic. Deploy dynamic model routing (using ONNX Runtime and NVIDIA Triton). Build explicit calibration layers (using techniques like isotonic regression). Engineer persistent, stateful memory systems (separating semantic, short-term, and long-term storage) to synthesize patterns, recall user history, and reconstruct personas. Required Skills 3+ years deploying and scaling ML models in production environments. Advanced proficiency in Python, PyTorch, and the Hugging Face ecosystem. Deep experience with high-performance inference serving (vLLM, ONNX Runtime, NVIDIA Triton). Strong applied knowledge of statistical calibration (Scikit-learn) and cost-optimized ML training. Demonstrated experience with architectural strategy (PEFT/LoRA). Preferred Skills MLOps for post-deployment monitoring. Expertise in Vision-Language Models (VLMs) and multimodal data integration. Experience with visual conditioning tools (ControlNet, IP-Adapter) for temporal consistency. Industry background in robotics or creative industries (VFX, gaming, spatial computing). Apply Now About the company Siloet Actively Hiring AI Social Perception Engine 1-10 Employees Ethiopia 1-10 Social Media Technology Top 5% of responders Responds within a few days Learn more about Siloet Similar Jobs tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply GenAI-Labs Building tomorrow's AI, Today Staff API/Microservices Engineer (Agentic AI-Focused) $40k – $120k • 0.0% – 1.0% Apply Metropolis Empower every journey Senior AI Engineer $170k – $210k Apply Chronicle We are the engine for audience growth using frontier AI Senior AI Engineer $220k – $300k • 0.1% – 1.0% Apply StarCast StarCast is building the trust, licensing and rights infrastructure of AI likeness economy Founding AI Engineer (cracked devs only) $10k – $40k • 35.0% – 50.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises Forward Deployed AI Architect $270k – $350k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Sardine Actively Hiring On a mission to make payments instant, global, and risk-free B2B Growth Stage Top Investors +2 Save Apply Now Machine Learning Engineer £100k – £160k | Remote ( United Kingdom ) • United Kingdom |Full Time Posted: 2 months ago Job Location United Kingdom Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Elaine Voronin Employee About the job Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Netherlands, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the role: As a Machine Learning Engineer at Sardine, you'll own the systems that make real-time fraud detection possible. Our data science team builds custom models for our clients, you build and run the platform they deploy onto, and the low-latency serving path those models score on. Sardine scores millions of sessions in real time from hundreds of device and behavioural signals, inside a sub-250ms budget. That constraint shapes everything: how features are computed and served, how models are deployed and rolled back, how quickly you know when something has degraded. You'll be the person who figures out why a model broke. What you'll be doing: Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both Build the deployment path our data scientists use to ship models themselves, including bring-your-own-model support for clients hosting their own Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation Build and optimise the pipelines that turn raw device and behavioural signals into production-ready features Work across Python and our Go backend to keep inference fast inside the request path Build models yourself where it makes sense, roughly 20% of the role, and more if you want it Champion testing, observability, security and compliance in a regulated environment What you'll need Experience building, not just using, model serving infrastructure. Production ownership of ML systems: you've been paged when something broke, you found out why, and you changed something so it didn't happen again. Strong Python, and solid software engineering fundamentals, testing, code review, CI/CD, the discipline that makes a platform other people can rely on. Comfort with Kubernetes, containers and a major cloud (we're mostly GCP), plus infrastructure-as-code. Enough understanding of models to debug them. You don't need to have trained one recently, but when precision drops you should know the difference between a data problem, a feature pipeline problem, and a model problem Experience building tooling other engineers or data scientists actually use, and the judgement to know what should be self-serve and what shouldn't. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice. Apply Now About the company Sardine Actively Hiring On a mission to make payments instant, global, and risk-free 51-200 Employees Austin 51-200 Information Technology Financial Services Payments Finance Fraud Detection Risk Management Finance Technology Cryptocurrency Blockchain / Cryptocurrency NFT B2B Growth Stage Top Investors Valuation $500M+ Growing fast Learn more about Sardine Funding AMOUNT RAISED $51.5M FUNDED OVER 1 round Round B $51500000 Series B - Sep 2022 View Sardine's funding history Perks Healthcare benefits 100% of health insurance, dental, and vision coverage for employees and 60% for dependents - For US only 401k 4% matching in 401k - For US only Equity benefits Early exercise for all options, including pre-vested Generous vacation Uncapped paid time off Company meals Monthly meal stipend Wellness benefits Monthly health and wellness stipend Miscellaneous Unlimited access to an expert financial advisory Explore Sardine's perks and benefits Founders Zahid Shaikh Co-Founder San Francisco View the team Similar Jobs Fintricity We're an AI delivery firm, providing AI-First consulting, Strategy, Build and Deployment AI Data Scientist – Generative AI, Agentic & LLM Research $20k – $100k Apply Checkatrade Find checked trades, compare quotes, book jobs — all in one app. A job done right, made easy Data Scientist £50k – £70k Apply Reedsy A friendly place for authors to learn, create and market the best indie books AI Engineer - Remote Europe €70k – €120k • 0.0% – 0.2% Apply Intuition Machines We build products and services to serve enterprise customers as they apply ML across their business 2026 AI/ML Research Fellow $60k – $120k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and AI Engineer - London £90k – £160k Apply Toggle We're on a mission to even the odds for all investors Machine Learning and Quant Engineer - London £110k – £200k Apply Permutive Performance and privacy. 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Uniblox Actively Hiring eCommerce for Insurance B2C Early Stage Save Apply Now Machine Learning Engineer ₹15L – ₹25L | Remote ( India ) |5 years of exp |Full Time Reposted: 2 months ago• Recruiter recently active Hires remotely in India Remote Work Policy Remote only Company Location India • Seattle Visa Sponsorship Not Available Relocation Allowed Skills Python Git AWS Machine Learning Data Science Python About the job Are you passionate about building AI-driven solutions that solve real-world problems? At Uniblox, we are modernizing the insurance industry using cutting-edge AI, NLP, LLMs and machine learning. Our platform processes structured and unstructured data in real time to deliver instant, seamless insurance experiences. As a Machine Learning Engineer, you will play a critical role in developing, deploying, and optimizing machine learning models that power our AI-driven platform. You’ll collaborate with data scientists, software engineers, and product teams to bring intelligent solutions into production and continuously improve model performance. What You’ll Do Design, develop, and deploy machine learning models, focusing on NLP, predictive analytics, and automation. Build and optimize scalable ML pipelines for data ingestion, feature engineering, training, and inference. Implement, fine-tune, and monitor models in production to ensure efficiency, reliability, and accuracy. Work closely with data scientists to translate research models into production-ready solutions. Develop and maintain APIs to integrate ML models into real-time applications and services. Optimize model performance and scalability through experimentation and continuous improvements. Collaborate with software engineers to ensure seamless deployment and monitoring of ML models. Maintain best practices in ML engineering, including version control, CI/CD pipelines, and cloud deployment. What You’ll Bring 3-5 years of hands-on experience in developing and deploying machine learning models in production environments. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Strong knowledge of data structures, algorithms, and software engineering best practices. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying ML models in scalable architectures. Hands-on experience with MLOps tools such as MLflow, Docker, Kubernetes, or SageMaker. Solid understanding of NLP, time-series forecasting, or recommendation systems. Experience working with large-scale data processing tools such as Spark, Dask, or Ray. Familiarity with version control (Git), CI/CD workflows, and Agile methodologies. Strong problem-solving skills and the ability to work in a fast-paced, collaborative startup environment. Nice to Have Experience with Retrieval Augmented Generation (RAG), LLMs, or Generative AI. Knowledge of real-time streaming frameworks like Kafka. Background in insurance or fintech industries. Education BS/MS in Computer Science, Data Science, Machine Learning, or a related field. Apply Now About the company Uniblox Actively Hiring eCommerce for Insurance 11-50 Employees India 11-50 B2 B SaaS Artificial Intelligence E Commerce Insurance Ecommerce Insurtech B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning B2C Early Stage Employees joined from T-Mobile University of Alabama at Birmingham Integral Development Corp ClubHealth NovitaTech Learn more about Uniblox Funding AMOUNT RAISED Undisclosed amount FUNDED OVER 1 round Round PRE Undisclosed amount Pre-Seed - Aug 2022 View Uniblox's funding history Perks All full time employees are awarded ESOPs that are highly valued We are remote first environment Gazetted holidays along with generous vacation policy Flexible hours and vacation that you set as part of your onboarding Macbook Everyone gets a Macbook (M1/M2) as part of their work environment Legendary Offsite Our offsite events are legendary where we fly in to new destinations to explore the outdoors, city life and then sign off in true Uniblox style - Work hard, Play hard. Explore Uniblox's perks and benefits Founders Surya Jakhotia Founder Seattle View the team Similar Jobs tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises AI Solutions Architect $240k – $300k • No equity Apply Metropolis Empower every journey Senior AI Engineer $170k – $210k Apply StarCast StarCast is building the trust, licensing and rights infrastructure of AI likeness economy Founding AI Engineer (cracked devs only) $10k – $40k • 35.0% – 50.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises Forward Deployed AI Architect $270k – $350k • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Panakeia Technologies Universal engine for one-step precision cancer diagnosis Save Apply Now Machine Learning Engineer Remote ( United Kingdom ) • London |2 years of exp |Full Time Posted: 1 month ago Job Location London Remote Work Policy Onsite or remote Hires remotely in United Kingdom Visa Sponsorship Not Available Relocation Not Allowed Skills Python Machine Learning Bioinformatics Computational Biology Pathology PyTorch Multi-Omics Generative AI Agentic AI About the job Who we are Panakeia is the world's first in silico multi-omics company, building AI solutions that power precision medicine in clinical settings, at scale. Our platform accelerates drug discovery and development for the medicines of tomorrow. Our PANProfiler platform uses a biology-first AI approach to determine biomarker status across DNA, RNA, proteins, and metabolites directly from routine brightfield images of cells and tissues — no specialist equipment required. Two UKCA-marked clinical products derived from the platform are already deployed in hospitals across the UK and worldwide, giving clinicians faster, more accessible diagnostic insights to inform the treatment decisions that matter most. The platform has been independently validated in peer-reviewed publications including Nature Communications Medicine, where it was recognised as one of the journal's top 25 papers of 2024, and results have been presented at leading clinical conferences including ESMO, ASCO, and AACR. We work closely with regulators — including the MHRA and FDA — to set the standard for safe, clinically-validated AI in healthcare. Our fast-growing, multi-disciplinary team spans AI, molecular biology, and clinical science. If you're excited by technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. Role As an ML Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for building, training, and validating the machine learning models that power our platform and clinical products at scale. You will own a clinical product end-to-end, from the initial exploratory phase through to delivery, while contributing to the platform and the wider set of solutions built on it. The role blends hands-on model development, rigorous experimentation, and turning ideas from research into working code — with a focus on models that generalise well and are robust for clinical use. You will work across our multi-disciplinary team of AI, molecular biology, and clinical science, combining analytical rigour and engineering capability with the ability to communicate complex findings clearly to both technical and executive stakeholders. Key responsibilities Product ownership: Take a leading hands-on role on one of our clinical products — running the modelling work, proposing approaches and improvements, and proactively surfacing problems and solutions rather than waiting for direction. Develop and improve models: Train, evaluate, and refine models across our platform — proposing architectures and training strategies, investigating underperformance, and ensuring they are optimised for specific customer requirements and real-world performance. Bring research into practice: Bring advances from the literature together with your own ideas to develop effective, practical solutions. Run experiments and validation studies: Design and run rigorous experiments and validation studies to test hypotheses and model performance against the high standards required for clinical use, and bring well-reasoned conclusions and recommendations on model readiness. Exploratory data analysis: Conduct deep exploratory analysis on new datasets to assess feasibility, produce insights, and help drive project strategy from zero to delivery. Work with data at scale: Efficiently process and handle large, high-dimensional image datasets as part of the model development workflow. Cross-functional collaboration: Work closely with cross-functional teams (Product, Research, Engineering) to take models from development through to delivery. Communicate results: Turn experimental and validation findings into clear conclusions and recommendations for technical colleagues and senior stakeholders, so results can inform product and clinical decisions. Who we are looking for Essential experience & mindset: One of the following backgrounds: 1) An MSc in Machine Learning, Computer Science, Mathematics, Statistics, Engineering, or a related field, with 2+ years of relevant industry experience in a fast-paced environment, ideally in a start-up. 2) A recent (or soon-to-complete) PhD in one of these fields, with some prior industry experience. Ability to iterate, experiment, and deliver solutions efficiently. Strong, hands-on programming experience in Python for building, training, and experimenting with machine learning models. Solid, hands-on experience with a deep-learning framework (e.g. PyTorch) — building and training models, not just familiarity. Experience in applying computer vision techniques to solve complex problems. Deep understanding of how machine learning models work, with the ability to build and validate robust, generalisable models for real-world scenarios. Familiarity with, or a strong interest in exploring, multi-modal learning and fusion models, to support the next generation of predictive modelling. Ability to read recent ML research and turn it into working, tested code. Proficiency in managing and processing large-scale, high-dimensional datasets, with efficient data handling within training workflows. Proactive, problem-solving mindset with a sense of ownership, able to spot opportunities for improvement and help move projects forward from idea to implementation. Capable of deep exploratory analysis to take a project from zero to delivery and produce insights for both technical and executive levels. Knowledge of designing and running rigorous experiments as well as validation studies to prove hypotheses. Adaptable and comfortable with evolving requirements and changing priorities, approaching new challenges with curiosity and openness. Desirable / makes you stand out: Ability to leverage AI productivity tools (e.g., Claude Code, Gemini) to accelerate research, coding, debugging, documentation and other workflows. Specific experience working with whole slide images and navigating the computational challenges associated with gigapixel-resolution pathology data. Experience working in a regulated environment (e.g., Medical Devices, HealthTech) or dealing with clinical data. Experience using cloud platforms (AWS/GCP) and containerisation (Docker) in day-to-day ML work. Experience with Large Language Models (LLMs) and Generative AI techniques and their applications in healthcare or data synthesis. Experience building models on multi-omics data (e.g. genomics, transcriptomics, proteomics), with an understanding of its practical challenges such as normalisation, batch effects, and missing modalities. What we offer The chance to improve the lives of cancer patients worldwide by working on Panakeia’s cutting-edge AI-driven software platform and instrument-free precision diagnostic products. Massive growth potential in a fast-growing start-up, with opportunities to take on more responsibility as the company expands. Work with an inclusive, high-performing, and multi-disciplinary team of scientists, clinicians, and engineers. Hybrid working with flexible hours. Competitive base salary and equity participation through employee share options. 22 days holiday plus bank holidays, pension contribution, and an opportunity to shape the future of the company. Success in your first year will look like: Taking ownership of one of our clinical products and delivering its key development and validation milestones. Contributing to projects across the platform and the wider set of products built on it, taking work from concept through to actionable outputs. Running experiments that directly inform team decisions or product development. Proactively improving workflows and processes to enhance team efficiency. Demonstrating growth, adaptability, and ownership by learning new tools or techniques and applying them successfully. How to apply Please fill this short application form and submit your CV. This role does not include visa sponsorship; applicants must already have the right to work in the UK. No agencies or recruiters. Unsolicited agency applications will not be considered. At Panakeia, we welcome applications from all sections of society and are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition or any other basis as protected by applicable law. Apply Now About the company Panakeia Technologies Universal engine for one-step precision cancer diagnosis 11-50 Employees London 11-50 Healthcare Machine Learning Artificial Intelligence Deep Learning Learn more about Panakeia Technologies Founders Pahini Pandya Founder London Pandu Raharja-Liu Founder London View the team Similar Jobs NMN Bio Science-backed longevity supplements eCommerce AI Creative & Agent Orchestrator £42k – £50k • No equity Apply Trace IP Building a stealth AI platform to help expert professionals search, structure, and generate complex AI / RAG / Document Intelligence Engineer $80k – $100k • 2.0% – 5.0% Apply Kangal AI Kangal AI: the first to see, the first to know AI Founding Engineer £71k – £130k • 0.0% – 1.0% Apply Pear First AI native affiliate campaign manager on TikTok Machine Learning Engineer £70k – £85k Apply Artificial Societies AI simulations of societies for testing how ideas spread ML Engineer £100k – £159k • 0.1% – 0.2% Apply Wistkey Ideas with Craftsmanship AI / ML Engineer — Core Product AI £65k – £85k • No equity Apply Wistkey Ideas with Craftsmanship Product Designer — Mobile UX & Design Systems £50k – £70k • No equity Apply Wistkey Ideas with Craftsmanship AI Research Scientist — Multimodal Systems £70k – £95k • No equity Apply Guile Autonomous AI agents that find, chain, and prove real exploit paths in your software Founding Engineer ₹4.5L – ₹9L • 2.0% – 5.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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Farm Insights An AI platform to empower farmers of any farm size B2B Save Apply Now Machine Learning Engineer & Researcher 0.0% – 1.0% | Remote ( United States ) • Los Angeles +1 |2 years of exp |Full Time Reposted: 7 months ago Job Location Los Angeles • San Francisco Bay Area Remote Work Policy Onsite or remote Hires remotely in United States Visa Sponsorship Not Available Preferred Timezones Pacific Time Collaboration Hours 9:00 AM - 5:00 PM Pacific Time Relocation Allowed Skills Python Machine Learning Data Analysis Agriculture Sustainable Agriculture Precision Agriculture Agriculture Technology Agribusiness Machine Learning Data Science Python Computer Vision, Machine Learning, Robotics, Deep Learning Machine Learning Algorithms, Deep Learning, Artificial Neural Networks Logistic Regression,Random Forest, SVD, Naive Bayes, Yolo, CNN Large Language Models (LLMs) About the job About Farm Insights Farm Insights is a cutting-edge agritech company providing farmers with real-time insights into plant health, soil health, and chemical analysis for outdoor and indoor farming. Our platform leverages machine learning and real-time data streams to help farmers optimize their operations with actionable intelligence and detailed reports. We are seeking a talented Machine Learning Engineer to join our growing team and help drive the development of new AI models and system-wide optimizations. Role Overview As a Machine Learning Engineer at Farm Insights, you will be at the core of our AI efforts—designing, developing, testing, and optimizing state-of-the-art computer vision and NLP models. You’ll work closely with our technical and product teams to deliver robust, production-ready machine learning solutions that power our platform and deliver meaningful impact for farmers worldwide. Key Responsibilities Collaborate with the team to develop and maintain front-end and back-end components of the web application. Integrate machine learning models to deliver real-time plant and soil health feedback. Build interactive dashboards and reporting tools to visualize data insights. Optimize data flow, APIs, and database performance. Write clean, maintainable, and well-documented code. Assist in testing, debugging, and deploying new features. What We’re Looking For Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Data Science, or a related field, OR equivalent practical experience. Machine Learning & Deep Learning Skills: Hands-on experience developing and training models using frameworks such as PyTorch and/or TensorFlow. Strong proficiency in Python and familiarity with key libraries (NumPy, Pandas, Scikit-learn, OpenCV, HuggingFace Transformers, etc). Demonstrated experience with image and/or text data, data augmentation, and synthetic data generation is a plus. Familiarity with MLOps best practices, including versioning, monitoring, and CI/CD for models. Evaluation & Optimization: Experience designing experiments and evaluating models with metrics and benchmarks. Skills in optimizing model performance for inference (e.g., quantization, pruning, ONNX, TensorRT). Production & Engineering: Comfort deploying models as APIs or within end-user products, ideally on cloud platforms (AWS, GCP, or Azure). Familiarity with Docker, RESTful APIs, and scalable infrastructure is an advantage. Strong Problem-Solving Skills and a desire to learn and adapt. Why Join Us? Impact: Your work will directly contribute to a platform improving agricultural productivity and sustainability worldwide. Growth: Work on challenging, real-world AI problems with an experienced team at the intersection of agriculture and technology. Ownership: Play a key role in shaping the future of our AI platform. Flexibility: Remote or hybrid work options Apply Now About the company Farm Insights An AI platform to empower farmers of any farm size 1-10 Employees Los Angeles 1-10 Corporation Agriculture Artificial Intelligence / Machine Learning B2B Learn more about Farm Insights Founders Oliver Ruiz CEO and Founder Los Angeles View the team Similar Jobs Listen2It Your all-in-one toolkit for AI voice-overs AI Research Engineer ₹15L – ₹30L • 0.1% – 0.25% Apply Nextdoor Nextdoor is the private social network for your neighborhood Senior/Staff Machine Learning Engineer - Ads $205k – $355k Apply Wonderschool Quality in-home child care and preschools near you Early Career Software Engineer – Applied AI $100k – $120k Apply Character AI Character’s mission is to give everyone on earth access to their own deeply personalized superintell Software Engineer, Backend/Applied ML (Safety & Integrity) $150k – $300k Apply Orchard Robotics Securing America's food supply by building the AI farmer that automates our nation's farms Senior Machine Learning Engineer $150k – $265k • 0.1% – 0.25% Apply Rocket Money The Money App That Works for You Staff ML Engineer, Product $210k – $260k Apply Unlearn.AI Transforming clinical development by making every trial smarter with AI Applied Machine Learning Scientist $140k – $165k Apply Fambot AI AI Chief of Staff for Families Founding Backend Engineer $100k – $180k • 0.1% – 1.0% Apply Avoma AI Meeting Assistant, Collaboration, and Intelligence platform Machine Learning Engineer $120k – $140k Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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ModelCat AI that builds AI Recently funded Save Apply Now Machine Learning (ML) Engineer - Applied Remote ( Europe ) |4 years of exp |Full Time Reposted: 2 months ago Hires remotely in Europe Remote Work Policy Remote only Company Location Silicon Valley Visa Sponsorship Not Available Preferred Timezones Central European Time, Eastern European Time Relocation Not Allowed Skills Machine Learning Edge Computing TensorFlow PyTorch AutoML ONNX About the job ModelCat | Remote from Europe About ModelCat ModelCat is transforming how companies develop AI models for embedded, edge, and IoT devices. Our innovative platform uses AI to build AI — turning model architecture selection, training, optimization, and validation into a single powerful step. ModelCat takes what was previously a 12–24 month process requiring highly skilled AI professionals and reduces it to a 24–48 hour AI-powered job that can be run by developers, data scientists, and product owners. Trusted by industry leaders like NXP and Silicon Labs, ModelCat is a venture-backed startup headquartered in Sunnyvale, California. The Role We're seeking a motivated ML Engineer to help advance our AutoML platform. You'll play a key role in expanding its capabilities, onboarding new ML use-cases across vision, time-series, and beyond, and improving the product as we scale. This role offers meaningful growth potential toward a technical leadership track. What You'll Do AutoML Platform Development -Contribute to the development and enhancement of our AutoML system for Edge AI, including pipelines that combine deep-learning and conventional algorithms for embedded devices -Object tracking, multi-model pipelines, and emerging use-cases -Build and improve platform features across compute clusters and our web application -Define abstractions and contribute to the architecture of cloud, cluster, and embedded components ML Use-Case Expansion -Integrate new ML use-cases across a broad range of data domains and maintain and improve existing ones, including: Time-series and audio, object re-identification, segmentation and keypoints -Action recognition (video), radar and point cloud data, multi-modal (vision + audio + sensor) -Small language models (NLP/SLM), classification, and object detection -Work with foundational computer vision and non-CV ML models — train, evaluate, modify, and combine them to unlock new functionality Edge AI Optimization & Deployment -Optimize AI solutions for edge devices using TinyML frameworks, creating models that fit a range of chip sizes and memory constraints -Deploy ML and non-ML algorithms on embedded targets (MCU and application-class microprocessors) -Productize research-quality code into robust, production-ready systems Collaboration & Craft -Partner on data strategies, preprocessing pipelines, and model training workflows -Stay current with Edge AI and AutoML advancements -Document your work and contribute to technical reports Who You Are Required -Master's degree in CS, EE, or a related field (PhD a plus) -4+ years of relevant industry experience in ML (AutoML and Edge AI experience highly valued) -Strong Python skills with the ability to write production-quality code; C/C++ a plus -Solid command of ML frameworks: TensorFlow, PyTorch, ONNX -Proficient with the standard DS toolset: scikit-learn, OpenCV, pandas -Comfortable working in Linux-based development environments -Experience onboarding new ML use-cases and expanding into new data domains -Excellent problem-solving skills and strong written and verbal English communication Preferred -Experience with cloud platforms (AWS) and web technologies (Node.js, REST APIs) -Familiarity with compute cluster tools such as Ray and Optuna -Knowledge of model compression techniques: pruning, quantization, transfer learning, knowledge -distillation -Experience defining software architecture for ML systems -Familiarity with CI/CD practices -Understanding of embedded systems concepts -Experience with non-ML algorithms and signal processing Mindset Proactive, entrepreneurial approach — you thrive with ownership and ambiguity Startup mentality: you move fast, learn faster, and care deeply about the outcome Why Join ModelCat Market Opportunity — Edge AI is exploding, and we're solving a critical pain point in a massive and growing market Real Customer Impact — Our platform compresses 12–24 months of model development into 24–48 hours — validated by customers like NXP and Silicon Labs Technical Depth — Work on hard, meaningful problems at the intersection of AutoML, TinyML, and embedded systems Growth Trajectory — Join during a pivotal growth phase with significant room to grow into technical leadership Competitive Compensation — Base salary, performance-based bonus, and meaningful equity stake ModelCat is an equal opportunity employer committed to building a diverse and inclusive team. Apply Now About the company ModelCat AI that builds AI 11-50 Employees Silicon Valley 11-50 B2 B Artificial Intelligence Information Technology Artificial Intelligence Recently funded Learn more about ModelCat Funding AMOUNT RAISED $5M FUNDED OVER 1 round Round S $5000000 Seed - Dec 2026 View ModelCat's funding history Similar Jobs Carbon Trail AI powered sustainability platform for fashion and retail industry Customer Success & Technical Project Manager ₹20L – ₹25L • 0.2% – 0.5% Apply Dayli An AI-powered personal OS for lifestyl wellness, and financial transformation Software Engineer (Mobile App – React Native / Swift / UI/UX $10k – $20k • 0.25% – 1.0% Apply tribe.ai We embed elite AI engineers to ship real, production-grade AI for enterprises GenAI Implementing Engineer $230k – $300k • No equity Apply Anagram The easiest way for marketers to create AI agents Founding Engineer $110k – $190k • 0.5% – 1.5% Apply WeMove Reinventing the moving industry with modern technology Senior Full-Stack Developer Logistics Platform (Equity-Only to Start) US-based only (React/Node) $80k – $100k • 1.0% – 2.0% Apply reevv Reevv is the credibility layer between retail investors and financial influencers Blockchain Developer $36k – $50k • No equity Apply drytis From idea to deployed app in minutes with your AI partner AI engineer $20k – $40k Apply VeryAI A more human internet. 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Silstone Health Actively Hiring Save Apply Now Senior Software Engineer (10+ yrs - Python, Django, LLM ) ₹40L – ₹50L | Remote ( Noida • Bangalore Rural ) |10 years of exp |Full Time Posted: 2 weeks ago• Recruiter recently active Hires remotely in Noida - Bangalore Rural Remote Work Policy Remote only Company Location India Visa Sponsorship Not Available Relocation Allowed Skills Python Python /Django Python Flask Python/Django/Flask Django-Rest-Framework Python(Django, Flask, FastAPI) LLMs Large Language Models (LLMs) LLMs, Langchain, Llama-Index, Huggingface LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect About the job About DoctusTech DoctusTech is a fast-growing technology company focused on driving innovation in the US Healthcare domain. We build impactful AI-driven solutions that solve real-world problems for our clients. Our team is agile, collaborative, and passionate about technology, and we're looking for strong engineering leaders who thrive in a high-ownership environment. Job Summary We are looking for a highly experienced Principal Software Engineer with 10+ years of hands-on backend engineering experience in Python ecosystems. This is a pure IC (Individual Contributor) role focused on architecture, hands-on coding, scalability, and building next-generation AI-powered systems. The ideal candidate must have strong expertise in Python, Django, FastAPI, distributed backend systems, and Agentic AI/LLM-based application development. You will work closely with product and engineering teams to design, develop, and scale intelligent healthcare solutions. Key Responsibilities Design, develop, and scale high-performance backend systems using Python, Django, and FastAPI. Build secure, scalable, and production-grade RESTful APIs and microservices. Lead architecture decisions and implement complex technical solutions. Develop AI-powered applications leveraging Agentic AI, LLMs, RAG pipelines, and orchestration frameworks. Write clean, maintainable, reusable, and testable production-quality code. Optimize application performance, reliability, scalability, and security. Mentor engineering teams through technical leadership and best coding practices. Collaborate with cross-functional teams in an agile development environment. Drive innovation and evaluate emerging AI technologies/frameworks. Participate in code reviews, debugging, and system design discussions. Required Skills ● 10+ years of software development experience. ● Strong hands-on coding expertise in Python. ● Deep expertise in Django and FastAPI. ● Experience building scalable backend architectures and REST APIs. ● Strong understanding of distributed systems and microservices architecture. ● Hands-on experience with Agentic AI, Generative AI, LLM applications, RAG pipelines, LangChain, CrewAI, AutoGen, or similar frameworks. ● Strong understanding of AI orchestration and prompt engineering concepts. ● Expertise with PostgreSQL/MySQL and database optimization. ● Strong knowledge of Django ORM, SQL queries, and performance tuning. ● Experience with cloud platforms and deployment practices. ● Strong debugging, analytical, and problem-solving skills. ● Deep understanding of system design, design patterns, data structures, and OOP concepts. ● Familiarity with Linux environments and DevOps fundamentals. Preferred Qualifications ● Experience in US Healthcare domain, EHR/EMR, HL7, or FHIR integrations is a plus. ● Experience working in high-scale SaaS product companies. ● Strong communication and stakeholder management skills. ● Ability to work independently in a remote environment. Candidate Requirements ● Own laptop/system (minimum 8GB RAM and i5 processor or above) ● Stable internet connectivity/Wi-Fi ● Power backup during outages Apply Now About the company Silstone Health Actively Hiring 51-200 Employees India 51-200 Health Care Information Technology Web Development Mobile Application Learn more about Silstone Health Similar Jobs Meelance Elevating Media and Entertainment Careers through Discovery and Connection Senior Backend Developer (MERN) ₹12L – ₹28L • 0.1% – 1.1% Apply Veersa Technologies Technical Lead Java ₹20L – ₹30L • No equity Apply Zahln Zero-fee payments for Germany. 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SmarterDx | 150-250k+ + equity + benefits | Remote (US only) | Multiple roles | https://smarterdx.com/careers SmarterDx builds clinical AI for one of healthcare’s most broken systems: how hospitals get paid for the care they actually deliver. Our physician-designed clinical AI platform reviews the clinical record, understands the nuance of patient care, and helps hospitals capture appropriate reimbursement across the revenue cycle. The core problem is hard: messy clinical data, complex regulations, payer rules, medical reasoning, and real financial stakes. When we get it right, hospitals recover millions in earned revenue, reduce manual review burden, and keep clinical and revenue teams focused on higher-value work. We’ve hit serious scale while keeping the team unusually strong and technical: MD/data scientist hybrids, Stanford LLM researchers, former Google and Amazon engineers, former ASF board member, and others who are among the best in their fields. Many teammates have been here since we bootstrapped to $1M+ in contracted revenue before raising capital. In 2025, SmarterDx became part of Smarter Technologies through a $1.1B deal with New Mountain Capital, reaching unicorn status while continuing to operate with the autonomy, urgency, and product velocity that got us here. Before that, we raised $71M from Floodgate, Transformation Capital, and Bessemer, including a $50M Series B. We have real product-market fit: 85+ health systems, 300+ hospital sites, rapid customer growth, and 150% YoY headcount growth (currently at ~550). Now we’re scaling the platform. For more and to apply, see https://smarterdx.com/careers
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Podium Actively Hiring Everything local businesses need to win Responds within three weeks B2B Scale Stage +3 Save Apply Now Staff AI Engineer - USA Remote ( United States ) • Lehi |Full Time Posted: 8 months ago Job Location Lehi Hires remotely in United States Visa Sponsorship Not Available Relocation Allowed About the job Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat). If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you! What you will be doing Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale. Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions. Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability. Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience. Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes. What you should have 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir. 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Proven success designing and maintaining distributed or high-throughput systems. Strong problem-solving ability and comfort navigating ambiguity in large-scale systems. Excellent communication skills and the ability to work effectively across teams. A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving. Ability to thrive in a fast-paced environment with shifting priorities. What we hope you have 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring. Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior. Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. Hands-on experience with fine-tuning and data curation for improving model performance. Why you’ll love working here: Podium is the best place to work to: Join the leaders in AI agents Unlock career-defining growth Build with world-class talent Make a real impact on local business Benefits: Open and transparent culture Life insurance, long and short-term disability coverage Paid maternity and paternity leave Fertility Benefits Generous vacation time, plus three 4-day summer holiday weekends Excellent medical, dental, and vision benefits 401k Plan with company matching Bi-annual swag drops with cool Podium gear and apparel Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status. Apply Now About the company Podium Actively Hiring Everything local businesses need to win 1001-5000 Employees Utah 1001-5000 Software B2B Local Small and Medium Businesses Reviews and Recommendations Franchises Responds within three weeks B2B Scale Stage Top Investors YC Funded Valuation $1B+ Learn more about Podium Funding AMOUNT RAISED $418.5M FUNDED OVER 6 rounds Rounds D $201000000 Series D - Nov 2021 +5 View Podium's funding history Founders Dennis Steele Founder Eric Rea Founder View the team For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Path Robotics, Inc (We're Hiring!) Actively Hiring We develop and advance state-of-the-art methods to solve general problems B2B Scale Stage Top Investors +2 Save Apply Now Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation Remote ( United States ) • Columbus |Full Time Posted: 4 months ago Job Location Columbus Hires remotely in United States Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Liz Grassel Employee Columbus About the job Build the Path Forward At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use. Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together. We are standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing. We are seeking a Senior Machine Learning Engineer (Tech Lead) for this new team. You write code, set the technical direction, make the architectural decisions the team builds on, mentor junior and intermediate engineers, and help shape how the team works. What You’ll Do Set the ML technical direction for the team, architectural choices on perception, reasoning, and action generation; training methodology; data strategy; the path from research bet to deployed capability. As one of the first senior hires, you are designing the approach, not extending it. Own the architectural workstreams that define the team's research and engineering bets — multiple core build streams across action-policy learning, world-model-based supervision, and policy-orchestration interfaces. Design hybrid physics-ML architectures for the integrated loco-manipulation stack. Manipulation, locomotion, and the whole-body control coupling between them are not separable on legged platforms; sub-millimetre continuous-trajectory precision at the tool requires the whole-body controller to compensate for base motion in real time. Today on fixed bases; tomorrow on mobile platforms. The integration is the hard problem; you own its design. Own the cross-functional partnerships with hardware teams, domain experts, customer-facing assurance standards, and upstream / downstream teams. Drive a phased deployment strategy that builds production trust over time. Mentor and shape the team, guide junior and intermediate ICs across software, ML, robotics, and perception backgrounds; establish code-quality standards, review practices, and engineering norms; help identify and attract next hires. You write code throughout — this is a tech-lead role, not a step away from the work. Who You Are Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field or equivalent experience. 5+ years of hands-on robot learning experience. You have shipped sim-to-real policies on real robots, across different tasks or platforms. Demonstrated technical leadership and mentorship. You have made architectural decisions on robot learning systems that others built on, and you have meaningfully shaped the development of more-junior engineers as a tech lead. This can be in academia (leading a lab subgroup, advising students) or industry. Deep sim-to-real expertise — domain randomisation, system identification, teacher-student distillation, sim-to-online fine-tuning. You can design a transfer strategy for a novel problem. Full-stack robot learning — fluent across simulation construction, policy training, data collection, real-world deployment, and failure diagnosis. Physics-informed ML or hybrid control experience — PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar. A defensible view on visual-reasoning-centric substrates for grounded spatial / physical reasoning. Push-back willingness — you can defend a non-obvious architectural commitment under pressure, and change your mind on evidence. Strong programming skills in Python and C++; production-quality code with reproducibility, testing, and maintainability discipline. Strong communication skills, able to convey complex technical concepts to a diverse audience. Demonstrated independent technical authority — you have set technical direction in a tech-lead capacity, leading a research subgroup, owning an architecture across multiple ICs' work, or making the architectural call on a high-profile project. Strongly Preferred: Edge inference depth (TensorRT, ONNX, edge-class deployment). Loco-manipulation experience — locomotion, whole-body control, and manipulation on legged platforms (quadrupeds, humanoids). The coupling between the three is the hard problem; direct hands-on experience or a defensible architectural view both count. Precision manipulation or surgical robotics — sub-mm accuracy tasks. Flow-matching action-head design at depth — direct experience with the architectural pattern. Visual self-supervised representation learning experience on robot or 3D-vision tasks. Multi-skill workflow or hierarchical policy design — skill sequencing, failure detection, control mode transitions. Experience building ML capability from early stage — first or second ML engineer on a team, or built a research group's infrastructure from scratch. Why You’ll Love Working Here Daily free lunch to keep you fueled and connected with the team Flexible PTO so you can take the time you need, when you need it Comprehensive medical, dental, and vision coverage 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total) 401(k) retirement plan through Empower Generous employee referral bonuses—help us grow our team! Who We Are At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours. Apply Now About the company Path Robotics, Inc (We're Hiring!) Actively Hiring We develop and advance state-of-the-art methods to solve general problems 201-500 Employees Columbus 201-500 Startup Manufacturing Robotics Machine Learning Artificial Intelligence Software B2B Scale Stage Top Investors 4.4 Highly rated 4.2 Work / Life Balance Learn more about Path Robotics, Inc (We're Hiring!) Funding AMOUNT RAISED $15M FUNDED OVER 2 rounds Rounds A $12500000 Series A - Dec 2018 +1 View Path Robotics, Inc (We're Hiring!)'s funding history For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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talentxo Actively Hiring Growing fast Save Apply Now Lead Data Scientist / AI/ML Engineer ₹50L – ₹55L • No equity | Remote ( India ) • Pune |10 years of exp |Full Time Posted: 1 month ago• Recruiter recently active Job Location Pune Remote Work Policy Onsite or remote Hires remotely in India Visa Sponsorship Not Available Relocation Allowed Skills Python Machine Learning Fraud Kafka Spark Kubernetes Hiring contact Tabbasum shaikh Employee About the job Roles & Responsibilities Lead AI Product Pods across Credit Risk, Fraud, and Collections functions. Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning. Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement. Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines. Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization. Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards. Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes. Define AI platform architecture, operational excellence, SLAs, and incident management practices. Build, mentor, and scale high-performing AI Engineering and Data Science teams. Ideal Candidate 1 Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles. 2 Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems. 3 Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions. 4 Mandatory (Experience 3) - Candidate's Current designation must be Lead or above. 5 Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment. 6 Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing. 7 Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting. 8 Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms. 9 Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices. 10 Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered 11 Mandatory (Age) - Candidate's Age should be below 37 years. 12 Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy. 13 Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred. 14 Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply. 15 Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure. Apply Now About the company talentxo Actively Hiring 11-50 Employees India 11-50 IT Management Growing fast Learn more about talentxo Similar Jobs Aventior Driving digital transformation in the industrial markets R Shiny Engineer/Data Scientist ₹10L – ₹12L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Compethic Actively Hiring Compethic is a Norwegian AI-driven customer intelligence platform Save Apply Now AI Engineer Remote ( Everywhere ) • Oslo |2 years of exp |Full Time Posted: 1 month ago Job Location Oslo Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Preferred Timezones Eastern European Time Relocation Allowed Skills Python Javascript PostgreSQL Retrieval-Augmented Generation (RAG) Agentic AI About the job The Role We are growing, and we are looking to fill this role as soon as possible. This is a hybrid role for someone who is both a strong engineer and a genuine student of the AI field. You will own core parts of our retrieval and reasoning stack end to end — design, implementation, deployment, and everything that happens after it goes live — and you will help decide where the product goes next as the space evolves. We are not looking for someone who implements tickets. We are looking for someone who understands why a given approach wins, can make that call, and is accountable for how it behaves in front of real enterprise customers. We are open on level. We hire from junior through senior, and we scope the role to the person. If you are experienced, you will set technical direction and engineering standards for the AI stack from day one. If you are earlier in your career but sharp and hungry to learn, you will work closely with people who have shipped this kind of system before, take real ownership quickly, and grow into that scope. What matters to us is the trajectory, not the title on your last CV. What You Will Work On • Design and improve our agentic retrieval and reasoning systems, including ReAct-style loops that retrieve, reformulate, call tools, and self-critique before answering • Build and tune the retrieval layer that grounds everything we deliver: hybrid search combining dense and sparse methods, reranking, and knowledge-graph-augmented retrieval for relational, multi-hop questions • Work across model selection, tuning, and evaluation against real business use cases rather than benchmarks • Develop the AI-assisted annotation pipeline behind our taxonomy • Own these systems in production: deployment, evaluation on live traffic, monitoring, latency, reliability, and cost • Grow into (or start with) setting technical direction and engineering standards for the AI stack, depending on where you are in your career What We Are Looking For Read the list below as a description of the person we are looking for, not a checklist you must already satisfy. We hire at every level, and we would rather have someone strong who is missing a few of these than someone who ticks every box but stops learning. Current AI expertise, or a fast route to it. Ideally you have hands-on experience with modern retrieval and agentic systems: agentic RAG, hybrid retrieval with reranking, and knowledge-graph approaches. You understand the limits of naive vector search and know when to reach for each technique. If you are earlier in your career, show us you follow what is shipping in the field, that you have built something real with it, and that you form your own view rather than repeating the consensus. Engineering strength. You write production code and are comfortable, or ready to get comfortable, with cloud environments (Azure, AWS, or GCP) and modern data architectures. Experience building scalable AI pipelines and working with automated machine learning workflows is a strong plus. Production experience is preferred. We prefer someone who has run systems in production and can own what happens after the demo: deployment and CI/CD, evaluation on live traffic, monitoring, reliability, latency, and cost. If you have seen how AI systems fail with real users and real data, that counts for a lot with us. If you have not yet, tell us how you would find out — we will teach the rest. Willingness to learn. This is not a consolation prize; it is one of the things we actually screen for. This field moves faster than any résumé can keep up with, so appetite and judgment beat a perfect keyword match. Juniors are genuinely welcome to apply: if you are sharp, curious, and willing to put in the work to learn what you do not know yet, we want to hear from you. Problem-solving. You can translate vague, real-world business challenges from enterprise clients into defined technical specifications and clear analytical roadmaps, and navigate ambiguous problems without waiting for perfect requirements. Business judgment. You connect technical decisions to commercial outcomes and can hold your own in a customer or business development conversation. Founder mindset. You have started your own company before, or you intend to one day. You take ownership of outcomes, move with urgency, and thrive in an early-stage environment. Communication. You explain technical trade-offs clearly to non-technical stakeholders without losing precision. Experience with Scrum or SAFe is a plus. What We Offer • Strong, competitive compensation that rewards the impact you make • Equity in the company for the right candidate, so you share in what we build together • Flexible remote / hybrid working • Ownership of core technology in a product with real customers, not a prototype • Close collaboration with an experienced founding and management team • A role scoped to your level, with real room to grow — and the people around you to learn from • A fast-moving environment backed by strong investors and operators Apply Now About the company Compethic Actively Hiring Compethic is a Norwegian AI-driven customer intelligence platform 1-10 Employees Oslo 1-10 Software Engineering Learn more about Compethic For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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timepay.ai Actively Hiring We build intelligent Voice Agents and AI Models for enterprises Early Stage Save Apply Now AI Engineer ₹12L – ₹20L • No equity | Remote ( India +2 ) • Mumbai |2 years of exp |Full Time Reposted: 1 week ago• Recruiter recently active Job Location Mumbai Remote Work Policy Onsite or remote Hires remotely in India - Mumbai - Bangalore Urban Visa Sponsorship Not Available Relocation Allowed Skills AI Machine Learning Data Science Python PyTorch ML Huggingface Transformers Generative AI LLMs About the job AI Engineer ABOUT TIMEPAY.AI At timepay.ai we are on a mission to revolutionize how enterprises connect with their customers. Traditional approaches to collections, sales, and customer engagement are outdated—impersonal, inflexible, and wasteful of resources. We build and deploy intelligent, human-like AI agents that operate 24/7, using predictive analytics to make communication more efficient, effective, and empathetic. What we've built: Vox-v1 - Our flagship TTS engine with 15+ emotions, 12+ languages, and sub-100ms latency Voice AI Agents - Autonomous agents handling millions of inbound & outbound calls. Automated workflow across multiple channels i.e sms, email whatsapp etc. Our funds: We are a funded startup 💰 POSITION OVERVIEW We are seeking an exceptional AI/NLP Engineer to drive the intelligence behind our AI Agents for the enterprises. You'll work directly with our CTO and AI research team to develop, fine-tune, and deploy state-of-the-art language models that power multilingual, context-aware conversations with millions of customers. This role is for an AI specialist who thrives on pushing the boundaries of what's possible—from fine-tuning large language models for domain-specific tasks and building robust NLP pipelines to creating high-quality datasets and conducting applied research that directly improves our AI agents' performance. If you're passionate about applied AI/NLP, love experimenting with cutting-edge models, and want to build AI systems that directly impact how financial institutions operate, this is the perfect opportunity for you YOUR ROLE Design and build high-quality datasets for training and evaluation, including synthetic data generation, data annotation pipelines, and quality assurance Conduct applied research to improve agent performance in multilingual settings, intent classification, sentiment analysis, and context understanding Optimize and fine-tune TTS models for naturalness, emotion control, and low-latency performance across multiple languages Develop and improve ASR/STT systems for accurate transcription in noisy environments, handling code-mixed speech and domain-specific vocabulary Fine-tune and adapt large language models (LLMs) for industry-specific use cases including collections, customer service, and sales conversations Develop sophisticated prompt engineering strategies and few-shot learning approaches to optimize model performance Design comprehensive evaluation frameworks including automated testing, human-in-the-loop evaluation, and A/B testing methodologies Build and optimize Retrieval-Augmented Generation (RAG) pipelines for grounding AI responses in regulatory documents and financial knowledge bases Develop and optimize models for Indian languages (Hindi, Tamil, Telugu, Bengali, etc.) with focus on code-mixing and transliteration Implement model monitoring, drift detection, and continuous improvement pipelines for production AI systems Why This Role Rocks Work directly with India’s First Emotive TTS - our proprietary Vox-v1 TTS engine (sub-100ms latency, 15+ emotions) and contribute to next-generation voice AI Build systems that power AI agents serving India's leading Enterprises. We offer a competitive salary and meaningful equity options we want you to grow with the company. Work with a focused team that values clean code, system design excellence, and continuous learning. QUALIFICATIONS 3+ years experience in AI/NLP with production deployments Expert-level experience fine-tuning language models using: Parameter-efficient fine-tuning (LoRA, QLoRA, Adapter layers) Instruction tuning and RLHF concepts Domain adaptation techniques Fine-tuning and optimizing neural TTS models (Tacotron, FastSpeech, VITS, or similar) Working with ASR architectures (Whisper, Wav2Vec2, Conformer, or similar) Strong proficiency in PyTorch with hands-on model training experience Solid understanding of Transformer architectures (attention mechanisms, positional encoding) Pre-training and transfer learning strategies Tokenization, embeddings, and language representation Proven experience building high-quality training datasets including Synthetic data generation techniques and Data augmentation approaches Understanding of model serving, API integration, and latency optimization SOUNDS LIKE YOU? User-obsessed: Users come first, above all else. Communication: You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts. Timeliness: You respect timelines and communicate beforehand if there is a blocker Ownership: You proactively take initiative to find solutions and focus on what must be done to create success. Grit: You pursue challenging goals with passion and courage. Intellectual curiosity: You want to constantly push yourself out of your comfort zone to try and learn new things Entrepreneurial: You are empowered to take decisions and act on them, treating this startup as your own What We Offer Competitive Package: Attractive salary and equity options grow with the company Technical Impact: Build systems that power AI agents serving India’s leading financial institutions Growth Opportunity: Join a fast-growing startup where your technical decisions have direct business impact Engineering Culture: Work with a team that values clean code, system design excellence, and continuous learning Flexibility: Hybrid work model with focus on results and technical excellence Ready to Join Us? If you’re excited about building robust, scalable systems that power the future of enterprises, we’d love to hear from you. Come help us build the infrastructure that will transform enterprises engage with their customers through AI. Apply Now About the company timepay.ai Actively Hiring We build intelligent Voice Agents and AI Models for enterprises 1-10 Employees India 1-10 SaaS Artificial Intelligence Software Development B2B Artificial Intelligence Early Stage Learn more about timepay.ai Founders Vedant Valia CEO View the team Similar Jobs EveoAI A novel approach to managing fashion, style, and personality through Generative AI NLP Engineer ₹10,000 – ₹35,000 • No equity Apply Kawa Space ELINT & SIGINT Machine Learning Engineer I ₹20L – ₹20L • No equity Apply Kawa Space ELINT & SIGINT Machine Learning Engineer II ₹30L – ₹30L • No equity Apply SquareYards Square Yards is India's largest Real Estate platform with presence in over 9 countries Generative AI Engineer | Artificial Intelligence | Mumbai ₹10L – ₹15L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI AI-ML Engineer ₹1L – ₹2.5L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions AI Engineer- NetSuite/Hubspot ₹10L – ₹20L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Data Scientist - AI/ML ₹25L – ₹40L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Applied AI Engineer (Computer Vision) ₹25L – ₹40L • No equity Apply Prompt Smart Solutions We are Prompt-Driven executive search firm GenAI Engineer ₹18L – ₹30L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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pst.ag Actively Hiring Global Trade Data based on our Global Trade Knowledge Top 10% of responders Responds within two weeks Early Stage Save Apply Now AI Engineer-Hermes Agent No equity | Remote ( India • Spain +22 ) |4 years of exp |Full Time Posted: 2 weeks ago• Recruiter recently active Hires remotely in India - Spain - Turkey - France - Indonesia - Romania - Poland - South Africa - United Arab Emirates - Perth - Philippines - Malaysia - Serbia - Bulgaria - Bangladesh - Nairobi - Portugal - Tunisia - Lagos - Armenia - Vietnam - Seoul - Morroco - Pakistan Remote Work Policy Remote only Company Location Germany Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 8:00 AM - 5:00 PM Central European Time Relocation Allowed Skills Python Git & Github AI Agents Hermes Agentic RAG RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB Agentic AI Model Context Protocol (MCP) Hermes Agent BMAD-METHOD About the job About the Role: We are seeking a forward-thinking Agentic AI Engineer to design, build, and orchestrate autonomous AI agents capable of reasoning, planning, and executing complex workflows. Unlike traditional LLM-based chatbots, our agents interact with dynamic environments, use tools, collaborate with other agents, and operate with minimal human intervention. Agent Architecture & Development: Framework: Hermes Agent Collaboration: orchestrator-workers, debate, hierarchical swarms Memory: short/long-term + episodic via vector DBs & semantic caching Reasoning & Planning: Techniques: ReAct, CoT, ToT, Plan-and-Solve Dynamic planning, error recovery, replanning from feedback Tool use: function calling, API grounding (DBs, APIs, RAG, UI automation) Production & Evaluation: Eval: agentic evals for task completion, efficiency, safety (not just lexical) Observability: tracing/logging (LangSmith, Arize, W&B) Optimize: latency, token cost, reliability Integration & Tooling: Connect: CRMs, DBs, Slack, browsers, REST APIs, code interpreters Custom tools + sandboxed envs for safe code/shell execution Technical Skills: Programming: Expert in Python Strong understanding of prompt engineering, few-shot learning, and structured output generation (JSON mode, grammars). Reasoning Patterns: Proven experience implementing agentic patterns (ReAct, Reflexion, Toolformer) in production or complex prototypes. Memory & Retrieval: Experience with vector databases (Pinecone, Weaviate, Qdrant) and RAG optimization (hybrid search, reranking). Orchestration: Familiarity with workflow engines (Temporal, Prefect, Airflow) for human-in-the-loop and durable execution. Observability: Experience monitoring LLM applications (prompt traces, token usage, drift). Model Context Protocol: Built agents that use MCP for multi-step research, code analysis, or data engineering tasks. Agentic Framework : Practical experience with Hermes Agent Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, AI, or related discipline 5 years in software engineering Strong background on Spec-Driven Development ( SDD ) methodology Practical experience installing, configuring, and operating Hermes Agent (the self-improving AI agent framework from Nous Research) Experience building production-grade agentic systems (not just demos or chatbots). Must be well versed with any of the following Method: BMAD ( Breakthrough Method for Agile AI-Driven Development ) Github Spec Kit OpenSec Strong understanding of LLM limitations: hallucinations, jailbreaks, prompt injection, and failure modes. Good understanding of MCP discovery patterns and context negotiation. Strong knowledge of context management in LLM applications: prompt caching, sliding window, semantic retrieval, MCP resource lifecycle. Apply Now About the company pst.ag Actively Hiring Global Trade Data based on our Global Trade Knowledge 51-200 Employees Germany 51-200 Data Top 10% of responders Responds within two weeks Early Stage Employees joined from Upwork Computer Society of India Credicxo Damiano Global Corporation H1.co Learn more about pst.ag For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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pst.ag Actively Hiring Global Trade Data based on our Global Trade Knowledge Top 10% of responders Responds within two weeks Early Stage Save Apply Now AI Engineer - Methods Remote ( Singapore • Lithuania +17 ) |3 years of exp |Full Time Posted: 4 weeks ago• Recruiter recently active Hires remotely in Singapore - Lithuania - Bucharest - Paris - Egypt - Budapest - Bulgaria - Delhi - Manila - Nairobi - Lagos - Seoul - Warsaw - Málaga - Kochi - Central Visayas - Bangalore Urban - Chennai - Pakistan Remote Work Policy Remote only Company Location Germany Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 8:00 AM - 5:00 PM Central European Time Relocation Not Allowed Skills Python Git & Github Sdd Agentic Workflow Agentic RAG Agentic AI Model Context Protocol (MCP) BMAD Spec-Driven Development (SDD) Hermes Agent BMAD-SPEC-KIT About the job What You Will Do Develop AI native applications that extract and process trade compliance data from central EU and member state government sources — both structured (XML, JSON, CSV, HTML tables, APIs) and unstructured (PDF documents, legal text, prose regulations, scanned publications) Design and built AI native data pipelines that monitor, detect changes, extract, normalise, validate, and release tariff measures data to clients Integrate AI/LLM capabilities into extraction workflows — using large language models for document understanding, entity extraction, classification, and data structuring Design and maintain data models for customs duties, VAT/excise information, and tariff measure metadata Ensure data quality through automated testing, benchmarking against official sources, data source and legal source comparison, and data validation pipelines Required Technical Skills: 3+ years of professional software development Practical experience installing, configuring, and operating Hermes Agent (the self-improving AI agent framework from Nous Research) Must be well versed with any of the following Method: BMAD ( Breakthrough Method for Agile AI-Driven Development ) Spec-Driven Development ( SDD ) Open-Sec Github Spec Kit Proficiency in at least two programming languages — e.g., Python, JavaScript/TypeScript, Java, Go, C#, Rust, Kotlin, or similar. We value strong fundamentals over specific language experience Data extraction and processing — web scraping, document parsing, API integration, ETL/ELT pipelines. Must be comfortable with both: Structured data: XML, JSON, CSV, HTML tables, databases, REST/SOAP APIs Unstructured data: PDFs, legal text, prose regulations, HTML without clear structure, scanned documents Database design and querying — relational (PostgreSQL or similar) and/or document-based databases. Schema design, migrations, indexing API development — building and consuming RESTful APIs Version control — Git workflow, branching strategy, code review Automated testing — unit, integration, and data validation tests as part of development workflow Self-sufficiency – ability to analyse, design and build complete solution Rapid development – segment development into phasing to get results faster Influencer – demonstrate approach to other team members to lift group maturity Communication – can work with technical, business and project team members, participates in and leads discussion Preferred Technical Skills LLM/AI API integration (OpenAI, Anthropic Claude, Google Gemini) — for data processing, document understanding, or content extraction AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, Windsurf, or similar) NLP / document processing — OCR, text extraction, entity recognition, text classification Graph databases (Neo4j) or vector databases (pgvector) Observability and monitoring (SigNoz, Grafana, Langfuse, or similar) Containerisation and deployment (Docker, CI/CD pipelines) Apply Now About the company pst.ag Actively Hiring Global Trade Data based on our Global Trade Knowledge 51-200 Employees Germany 51-200 Data Top 10% of responders Responds within two weeks Early Stage Employees joined from Upwork Computer Society of India Credicxo Damiano Global Corporation H1.co Learn more about pst.ag For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Sierra Studio Actively Hiring Supporting founders and business leaders on their hero's journey Growing fast Save Apply Now Founding Data & AI Engineer, Creative Engine Remote ( Brazil ) • São Paulo |Full Time Posted: 3 weeks ago Job Location São Paulo Hires remotely in Brazil Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Isabel Simas Employee About the job 🏔️ About Sierra Studio Sierra Studio is an innovative product development firm dedicated to empowering founders and business leaders in their quest to create impactful, meaningful products. Our team of experienced professionals is committed to delivering high-quality solutions that drive business growth. We prioritize a culture of good vibes, open communication, and continuous learning, providing our team members with the opportunities and resources they need to thrive. This role is with one of the teams we help build through our staffing partnerships. When you apply, Sierra manages the hiring process, but you'll be hired directly by and work within the client company. 🏢 About The Company Our hiring partner is a performance creative agency that makes ads for brands on TikTok, Meta, and TikTok Shop. They work with 2,000+ creators and produce thousands of videos per year. Their internal portal handles the entire workflow: creator onboarding, contracts, campaign management, content review, and payments. They're now building a Creative Engine that turns creative strategy from gut instinct into a data-driven process. Data today lives in too many disconnected places — the Creative Engine brings it all into one central home, across performance creative, TikTok Shop, and TikTok LIVE, so the team can derive real insights instead of digging through separate platforms. AI watches and tags every video they produce, breaking each one into the hooks, formats, and patterns that drive results, and connects that to the sales and engagement data flowing out of Shop and Live. It all feeds one queryable system, a "brain" a strategist can ask "what are the top hooks for beauty this week?" and get a real answer back. The team reaches it through dashboards, Slack, and Cowork. It starts as the internal engine the creative team runs on, and over time clients log in to it too — this is the core of where the company is headed. How they work: Small team, high ownership. You own your work end to end, from idea (or data model) to deployed UI. No committees. AI-assisted everything. Claude Code and coding agents are used daily as a real part of the workflow. Ship constantly. They deploy to production multiple times per day. Scope stays small and tight. Remote, async. Communication happens via Slack and GitHub. No standups or status meetings for the sake of meetings. 🖼️ About The Role Our hiring partner is looking for its founding engineer on the Creative Engine, and they're hiring data-first, not app-first. This is a data product at its core, and you'll own the foundation: the pipelines that pull and structure performance data across hundreds of accounts, the LLM workflows that analyze every video they run, and the search layer that turns all of it into answers strategists can query. You'll own features end to end, including the UI, but you don't need to be a frontend specialist. The heart of this role is the data and intelligence layer — you'll lean on Claude Code and agentic tooling to ship the dashboards and interfaces on top. Get the foundation right and the product follows, so they want someone who's genuinely LLM-fluent and savvy with AI-native development, not just someone who's heard of it. 🔨 What You'll Do Design the data foundation: pipelines that pull, store, and structure performance, sales, and engagement data across hundreds of client accounts (performance creative, TikTok Shop, TikTok LIVE, and Meta), handling the messiness of real platform APIs. Build the LLM analysis layer, using Gemini to watch and tag every video and Claude for generation, with structured output at scale and sane cost controls. Build search and discovery with semantic search via pgvector, so a strategist can ask "what are the top hooks for beauty this week?" and get a real answer, not a keyword dump. Build the "brain": connect viral organic references, top-performing ads, content tags, and creator history into queryable creative intelligence, accessible through the web app, Slack, and Cowork. Develop creator-performance matching, linking creator history, content tags, and ad metrics to sharpen casting decisions. Own the full stack on top of your data work: dashboards, tag browsers, enrichment queues, and export tools in Django + HTMX + Tailwind, moving fast with Claude Code (no dedicated frontend hire required). Integrate external APIs (TikTok, Meta, Motion, Cruva) and internal async pipelines (Celery + Redis). The Stack Backend: Django, PostgreSQL, Celery + Redis, Django REST Framework Frontend: Django templates, HTMX, Tailwind CSS (server-rendered, no SPA) AI/ML: Google Gemini (video analysis), Anthropic Claude (script generation), pgvector (planned) Infrastructure: Docker, AWS ECS/Fargate, Backblaze B2, GitHub Actions CI/CD Integrations: TikTok API, Meta API, MagicBrief, Cruva, PayPal, DocuSign, Twilio, Slack 🔎 What We're Looking For Required: 5+ years building production, data-heavy applications with Python/Django and PostgreSQL (senior / lead level, autonomous, low-process). Strong SQL well beyond basic ORM queries (aggregations, joins, window functions) and comfort designing schemas and data models straight from use cases. Experience designing and debugging async data pipelines (Celery + Redis or equivalent). Genuinely LLM-fluent: hands-on with LLM APIs in production, prompt engineering, structured output, and cost management. Fluent with agentic coding tools (Claude Code, Cowork) and excited to use them to move fast, including building full-stack on top of your own data work. Experience integrating messy third-party APIs (rate limits, auth flows, inconsistent data). Comfortable owning frontend (Django templates + HTMX + Tailwind) with AI assistance — you ship the whole feature, you just don't need to be a frontend expert. Strong written communication and high ownership on a small, async team. Preferred: An AI engineer at heart — you've built agent harnesses, RAG, or LLM eval pipelines (even side projects count). Background in or curiosity about ML fundamentals, like knowing when a simple scoring function beats a complex model. Experience with video or audio processing pipelines. Domain experience in ad tech, creator economy, performance marketing, or marketplace platforms. Have worked with a US-based team before — async, English-fluent, knows the drill. Location: remote, based in Brazil, working US time zones. Apply Now About the company Sierra Studio Actively Hiring Supporting founders and business leaders on their hero's journey 11-50 Employees Brazil 11-50 Artificial Intelligence Startups Technology Software Engineering Growing fast Learn more about Sierra Studio Perks 100% Remote! Sierra Studio is based in Los Angeles, but we’re a fully remote company. We have teammates working from São Paulo, Vitória, Belo Horizonte, Florianópolis, and many other cities. PTO Everyone gets 10 days of PTO a year + their local holidays! Yearly Offsite Once a year, we come together for a week-long offsite to reconnect, eat amazing food, and vibe code crazy ideas in hackathons Entrepreneur in Residence Program We have an internal program to help our employees become founders. If you join our program, we provide the launchpad, resources, and community for you to start your own company. Explore Sierra Studio's perks and benefits For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Cricketpedia Fantasy Cricket meets AI Early Stage Save Apply Now AI Engineer ₹8L – ₹20L • No equity | Remote ( India ) • Gurugram |1 year of exp |Full Time Reposted: 4 years ago Job Location Gurugram Hires remotely in India Visa Sponsorship Not Available Relocation Allowed Skills Machine Learning Django Statistics Algorithms & Data Structures Deep Learning NLP About the job About the company: nuQ Labs is an AI company operating in the fantasy sports space. Using AI, we have created a suite of stat-based tools for cricket lovers, including Fantasy XI predictor and search engine. Our partners include some of the largest consumer platforms in India. The company was started by alumni of IIT, IIM Ahmedabad, and Cornell University. It has raised institutional financing from a well-renowned media-tech VC and a Germany-based media conglomerate. We are looking for an AI engineer for nuQ Labs. Apply if you: Absolutely love cricket Want to change the face of Fantasy Cricket in India Love data over anything else Enjoy mathematics Have fun coding and solve interesting problems Enjoy a high-energy, fast-growing workplace What you will do: Help us scale the world’s first ‘Moneyball for Cricket’ platform Requirements: A degree in Data Science, Statistics, Computer Science, or not More than two years of experience as a Data Scientist/AI Engineer Proficiency in Python or Django, where the latter is preferred Understanding of first principles of machine learning Preferably worked on NLP-centric projects earlier Apply Now About the company Cricketpedia Fantasy Cricket meets AI 51-200 Employees Gurugram 51-200 Artificial Intelligence Fantasy Sports Cricket Early Stage Employees joined from Originate University of Nevada Las Vegas NTPC MyNewsStudio NewsBytes Learn more about Cricketpedia Founders Sumedh Chaudhry CEO • 7 years Romesh Khaddar CTO • 7 years Delhi Shikha Chaudhry CCO • 7 years India View the team Similar Jobs Cypherock Wallet Personal Fort Knox for Your Crypto Founder's Office - Growth ₹10L – ₹20L • 0.01% – 1.0% Apply Dharmik Vibes Connects you to spiritual services, poojas, rituals, and temple travels digitally Fullstack AI/GenAI Engineer – DharmikVibes ₹2.4L – ₹6L • No equity Apply Dharmik Vibes Connects you to spiritual services, poojas, rituals, and temple travels digitally Senior AI | GenAI Engineer (Agentic & Multimodal Systems) ₹7L – ₹8L • 0.1% – 0.3% Apply Kortexity A Toronto-based firm building Computer Vision tech and AI products like RevSage.ai Data Scientist ₹3L – ₹4.5L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Mirian AI The AI-native financial operating system for US mid-market and enterprise finance teams Save Apply Now Founding AI Engineer Remote ( India +4 ) • Delhi +2 |4 years of exp |Full Time Posted: 3 months ago Job Location Delhi • Mumbai • Bangalore Urban Remote Work Policy Onsite or remote Hires remotely in India - Eastern Europe - Philippines - Malaysia - Vietnam Visa Sponsorship Not Available Relocation Allowed Skills Python PostgreSQL Docker React.js AWS NLP FastAPI Prompt Engineering Generative AI LLMs About the job MIRIAN AI is building the agentic financial operating system for PE-backed mid-market companies. Our AI agents don't just track tasks — they do the actual accounting work: computing accruals, reconciling transactions, generating journal entries, and improving with every close cycle. Humans review and approve. We're looking for a Founding AI Engineer who can design and build production agentic systems from scratch — not wrappers around ChatGPT, not chatbots, not prompt playgrounds. Real multi-step AI pipelines that handle financial data with precision. What you'll own: Agentic workflow architecture — multi-step LLM pipelines with tool use, memory, self-correction, and human-in-the-loop checkpoints LLM orchestration — prompt engineering, structured output parsing, retrieval-augmented generation, evaluation frameworks Financial reconciliation and accrual computation agents that learn from historical patterns Integration with Anthropic Claude APIs, Langfuse observability, and Temporal workflows Defining how AI gets applied to real accounting workflows — not theoretical, production Stack: Python, FastAPI, PostgreSQL, Temporal, Anthropic Claude APIs, Langfuse, AWS You should have: 4-5+ years software engineering experience, with at least 1-2 years building agentic or multi-step LLM systems in production Deep understanding of tool-use patterns, chain-of-thought reasoning, retry/self-correction loops, and structured output validation Strong Python backend skills — you're not just an ML researcher, you ship production code Experience with evaluation and observability for LLM systems Ownership mindset — you figure out what needs to happen and do it Bonus points: Fintech, accounting, or ERP domain knowledge Prior 0→1 startup experience Why MIRIAN: Founding-team ESOPs and impact — shape the product and architecture from day one $5B+ market dominated by legacy tools with zero agentic AI in production Remote-friendly, flexible hours Apply Now About the company Mirian AI The AI-native financial operating system for US mid-market and enterprise finance teams 1-10 Employees New York City 1-10 SaaS Finance Technology B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning Learn more about Mirian AI Founders Nikhil Mudgal Founder View the team Similar Jobs Ariveguru Technology Solutions Enterprise Cloud Solutions and Applications Lead AI-First MERN Fullstack Engineer (Vibe Coder) - Bangalore ₹7L – ₹14L Apply Aikenist Welcome to the Future of HealthCare! Software Engineer ₹4L – ₹9L • No equity Apply FactWise A US-VC funded startup with a blank slate to revolutionize the source to pay journey Junior Backend Engineer ₹4.5L – ₹18L • 0.01% – 1.0% Apply Zooty by Mazout Electric Autonomous micro-mobility vehicles for Logistics, Patrolling and Taxi Firmware Software Engineer ₹5L – ₹7.5L • No equity Apply Hevo Data No Code Data Pipeline SDE III _ Tech Lead ₹30L – ₹60L Apply VdoCipher Piracy Protection & Custom Player for E-learning, OTT & Developers Product Support Engineer/Technical Support Engineer (B2B) ₹11L – ₹18L • 0.05% – 0.05% Apply Flux Auto Physical AI for Warehouses and Factories Robotics Engineer - Path Planning ₹3L – ₹10L • No equity Apply OneAssure Insurance Distribution Platform & Technology Service Provider SDE - Intern ₹20,000 – ₹25,000 • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI NLP Engineer ₹10,000 – ₹35,000 • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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HelioAI Actively Hiring Save Apply Now AI Engineer Intern ₹5L – ₹9L • No equity | Remote ( Everywhere ) • Hubli |No experience required |Full Time Reposted: 3 months ago Job Location Hubli Remote Work Policy Onsite or remote Hires remotely in Everywhere Visa Sponsorship Not Available Preferred Timezones Maldives Time Collaboration Hours 10:00 AM - 7:00 PM Maldives Time Relocation Allowed Skills Python Machine Learning Node.js Redis LLMs LangChain Agentic AI About the job HelioAI (helioai.tech) is building a safe + controllable AI concierge for Shopify brands. Not random “text generation” we build grounded agents that give correct answers about products, orders, policies, shipping, refunds, etc. We’re hiring an AI Engineer (LLM + RAG) who enjoys solving real reliability problems in production AI. College freshers with a fresh mind are welcome too. If you’ve built any LLM/RAG project and can learn fast. What you’ll do Build RAG pipelines (retrieval → grounded answers → citations) Reduce hallucinations using structured outputs + tool calling Improve relevance (chunking, embeddings, reranking, filters) Create evaluation datasets + quality scoring (good/bad answers) Add guardrails (policy-safe, brand-safe, deterministic for orders) Work with backend + product to ship weekly improvements What you’ll work on (examples) Product recommendation agent (upsell + bundles + AOV lift) Order + shipping agent (accurate, deterministic answers) Knowledge updates (FAQs, policies, announcements) Omnichannel agents (Web + WhatsApp + Instagram DM) Skills we’re looking for Strong basics in LLMs + RAG concepts Python or Node.js (either is fine) Reasoning + debugging mindset Comfortable with APIs + JSON structured outputs Send: Resume + GitHub + 2 projects you’ve built to https://www.linkedin.com/in/prkskrs/ Apply Now About the company HelioAI Actively Hiring 11-50 Employees Hubli 11-50 Information Technology Shopify Learn more about HelioAI Founders Prakash Singh Founder Bangalore Urban View the team Similar Jobs HelioAI Frontend Engineer Intern ₹4L – ₹6L • No equity Apply HelioAI Backend Engineer Intern ₹4L – ₹6L • No equity Apply HelioAI Senior Frontend Engineer ₹6L – ₹9L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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ParallelDots Actively Hiring Transforming FMCG industry through computer vision B2B Growth Stage Save Apply Now Machine Learning Engineer ₹4L – ₹6L • No equity | Remote ( India ) |No experience required |Full Time Reposted: 4 days ago• Recruiter recently active Hires remotely in India Remote Work Policy Remote only Company Location Delaware • Gurgaon Visa Sponsorship Not Available Relocation Not Allowed Skills Python Computer Vision OCR NLP PyTorch About the job About The Role: We are currently looking to hire Machine Learning Engineer for our organisation. The Required Skillset: Excellent at Python programming and some experience with PyTorch Some work experience in training Image Classification and Object Detection algorithms is necessary Diligence and Attention to detail. Some experience with NLP is good but not necessary Any experience with Web Development and model serving with Torchserve is an added bonus Some experience around OCR will be helpful Day to Day: Train and Deploy classification and object detection models. Work will involve PyTorch, ONNX Runtime, transformers and web framework like FastAPI Develop thorough insights about our Computer Vision pipelines and change and modify them for any new projects Eligibility: Freshers who are pursuing or have already pursued internship into Data science domain must explore this opportunity Apply Now About the company ParallelDots Actively Hiring Transforming FMCG industry through computer vision 501-1000 Employees Delaware 501-1000 Artificial Intelligence SaaS Machine Learning Developer APIs Deep Learning B2B Growth Stage Employees joined from AIESEC Birla Institute of Technology and Science, Pilani Bennett University VinnovateIT Tall Hobbit Ventures Private Limited Learn more about ParallelDots Perks Health Insurance Paternity leaves Hybrid work Explore ParallelDots's perks and benefits Founders Muktabh Mayank Founder Delhi Ankit Narayan Singh Founder • 13 years Delhi Angam Parashar Founder Delhi View the team Similar Jobs MikeLegal MikeLegal helps companies automate legal processes currently related to the IP process AI Intern ₹10,000 – ₹12,000 • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions AI Engineer- NetSuite/Hubspot ₹10L – ₹20L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Data Scientist - AI/ML ₹25L – ₹40L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Applied AI Engineer (Computer Vision) ₹25L – ₹40L • No equity Apply Artikate Studio We believe in the Power of Engineering to do Good Senior Computer Vision / ML Engineer ₹10L – ₹18L • 0.1% – 0.2% Apply Guile Autonomous AI agents that find, chain, and prove real exploit paths in your software Founding Engineer ₹4.5L – ₹9L • 2.0% – 5.0% Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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Xipper Actively Hiring Travel Tech platform for Hotels Early Stage Save Apply Now Machine Learning Engineer ₹20,000 – ₹30,000 • No equity | Remote ( India ) |1 year of exp |Full Time Posted: 1 month ago• Recruiter recently active Hires remotely in India Remote Work Policy Remote only Company Location India Visa Sponsorship Not Available Preferred Timezones Eastern Time Collaboration Hours 9:00 AM - 9:00 PM Eastern Time Relocation Not Allowed Skills Machine Learning Data Modeling About the job About Xipper Xipper is building the next-generation AI-powered operating system for hotels. Our platform combines a Property Management System (PMS), Channel Manager, Guest Experience Platform, Revenue Management, Digital Check-in/Check-out, Payments, Concierge, and AI-powered automation into a single ecosystem. We're looking for engineers who love solving real-world problems using Machine Learning and AI, and want to build products that thousands of hotels will use every day. Job Summary We are looking for a Machine Learning Engineer with 1+ years of hands-on experience building, training, deploying, and maintaining production-ready machine learning models. You will work closely with our engineering and product teams to build intelligent systems that power hotel operations, including pricing recommendations, occupancy forecasting, guest personalization, fraud detection, anomaly detection, booking intelligence, and operational automation. This role is ideal for someone who enjoys taking ML models from experimentation to production and wants to work on impactful, real-world AI products. Key Responsibilities Design, build, train, evaluate, and deploy Machine Learning models for production. Collect, clean, preprocess, and analyze structured and unstructured datasets. Perform feature engineering and feature selection to improve model performance. Develop prediction models for occupancy, demand forecasting, revenue forecasting, cancellations, and booking trends. Build recommendation engines for room upgrades, guest personalization, and upselling opportunities. Develop anomaly detection models to identify unusual booking patterns, pricing issues, operational inconsistencies, or fraudulent activities. Optimize ML models using hyperparameter tuning, cross-validation, and model evaluation techniques. Build scalable inference APIs using FastAPI or Flask. Deploy and maintain ML services using Docker and cloud infrastructure. Monitor model performance in production and continuously improve model accuracy. Work closely with Backend Engineers, Product Managers, and Data Engineers to integrate ML models into Xipper's platform. Write clean, reusable, maintainable, and well-documented code. Stay updated with the latest developments in Machine Learning, Generative AI, and MLOps. Required Technical Skills Python NumPy Pandas Scikit-learn Linear Regression Logistic Regression Decision Trees Random Forest Gradient Boosting XGBoost LightGBM CatBoost Feature Engineering Hyperparameter Tuning Cross Validation Model Evaluation Data Preprocessing Backend FastAPI or Flask REST API Development Databases PostgreSQL MongoDB Deployment & DevOps Docker AWS (Preferred) CI/CD Pipelines (Preferred) Good to Have PyTorch TensorFlow Time Series Forecasting Recommendation Systems Clustering Algorithms NLP fundamentals Celery & Redis LangChain LangGraph OpenAI APIs Gemini APIs Vector Databases RAG (Retrieval-Augmented Generation) MLOps concepts Model Monitoring Kubernetes (Bonus) What You'll Build at Xipper As part of the AI team, you'll work on projects such as: AI-powered hotel revenue forecasting Dynamic room pricing recommendations Occupancy prediction models Guest personalization and recommendation systems Booking demand forecasting Cancellation prediction Smart hotel automation Fraud and anomaly detection Intelligent operational insights AI-powered assistants for hotel staff Predictive analytics dashboards Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (or equivalent practical experience). Minimum 1 year of hands-on Machine Learning experience. Experience building and deploying real-world ML applications. Strong understanding of statistics, probability, and machine learning fundamentals. Ability to write production-quality Python code. Good problem-solving and analytical skills. Strong communication and collaboration skills. Why Join Xipper? Build AI products that solve real business problems. Work with modern Machine Learning and Generative AI technologies. Own end-to-end ML systems—from experimentation to deployment. Collaborate with a fast-moving startup team. Opportunity to work on forecasting, recommendation systems, optimization, and large-scale hotel data. Significant learning and growth opportunities while building the future of hospitality technology. Apply Now About the company Xipper Actively Hiring Travel Tech platform for Hotels 1-10 Employees India 1-10 Limited Partnership Online Travel Technology Travel Travel & Tourism Early Stage Employees joined from Cyberoi Systems EliteKods Learn more about Xipper Perks ESOPS We do offer ESOPS to eligible employees Work From Home We are a completely remove working organisation. Explore Xipper's perks and benefits Founders Abhijit Agarwal CEO • 4 years India View the team For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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ViH Labs and Innovation Actively Hiring Responds within two weeks Save Apply Now Machine Learning Engineer (Voice AI) ₹12L – ₹15L | Remote ( Hyderabad +1 ) • Hyderabad |2 years of exp |Full Time Reposted: 5 days ago• Recruiter recently active Job Location Hyderabad Remote Work Policy Onsite or remote Hires remotely in Hyderabad - Andhra Pradesh Visa Sponsorship Not Available Relocation Not Allowed Skills Python Machine Learning Automatic Speech Recognition LLMs LangChain LLM Fine Tuning/ Lora/ QLora Text-to-Speech (TTS) About the job Machine Learning Engineer – Voice AI (Traditional Speech Architectures) About the Role We are looking for a passionate and highly skilled Machine Learning Engineer – Voice AI to lead the development of our multilingual and multi-dialect speech systems. The ideal candidate should have hands-on experience in traditional speech processing, Text-to-Speech (TTS), Automatic Speech Recognition (ASR), audio signal processing, and Voice AI technologies. This role is critical to our long-term vision of building and self-hosting production-grade Voice AI solutions tailored for multiple industry use cases across India. Since we work extensively with regional Indian languages and dialects, we are looking for someone who can take ownership of the Voice AI domain with strong technical leadership and a research-driven mindset. Key Responsibilities • Design, develop, and optimize Voice AI systems using traditional and modern speech processing techniques. • Build multilingual and multi-dialect speech solutions for Indian regional languages. • Develop and improve Text-to-Speech (TTS), speech enhancement, pronunciation modeling, and voice adaptation pipelines. • Work on Automatic Speech Recognition (ASR), speaker identification, speaker verification, and keyword spotting systems. • Design robust audio preprocessing, feature extraction, and post-processing pipelines. • Improve speech quality, intelligibility, naturalness, and dialect adaptation. • Work with traditional speech processing techniques, digital signal processing (DSP), and statistical speech models where applicable. • Build scalable training and inference pipelines for self-hosted Voice AI systems. • Optimize low-latency inference for production deployments. • Collaborate with product, engineering, and data teams to deploy production-ready Voice AI solutions. • Evaluate models using objective speech quality metrics and human evaluation. • Stay up to date with advancements in speech processing, Voice AI, and audio machine learning. Required Skills & Qualifications • 2+ years of experience in Machine Learning, Speech Processing, Voice AI, or related domains. • Strong understanding of traditional speech processing techniques, including: Digital Signal Processing (DSP) MFCC, LPC, PLP, Mel Spectrograms Fourier Transform (FFT), Short-Time Fourier Transform (STFT), and Filter Banks Speech segmentation and Voice Activity Detection (VAD) • Experience with traditional Text-to-Speech systems, statistical parametric speech synthesis, concatenative synthesis, or modern neural TTS architectures. • Good understanding of speech feature extraction, spectrograms, vocoders, and audio codecs. • Experience with Automatic Speech Recognition (ASR) pipelines and acoustic modeling is preferred. • Strong Python programming skills. • Hands-on experience with PyTorch, TensorFlow, or similar machine learning frameworks. • Experience handling multilingual speech datasets and audio corpora. • Familiarity with Linux, Docker, GPU training, and inference optimization. • Understanding of speech evaluation metrics such as WER, CER, MOS, PESQ, and STOI. • Ability to independently own and drive Voice AI research and production initiatives. Preferred Qualifications • Experience working with Indian language datasets and dialect adaptation. • Experience with speaker recognition, speaker diarization, or voice biometrics. • Familiarity with Kaldi, ESPnet, HTK, CMU Sphinx, OpenSMILE, Praat, or similar speech processing toolkits. • Experience building self-hosted Voice AI infrastructure. • Knowledge of conversational AI, telephony systems, and speech analytics. • Research contributions, open-source projects, or published work in speech processing or speech synthesis. What We Offer • Opportunity to work on cutting-edge multilingual Voice AI systems. • Access to large proprietary speech datasets. • Freedom to experiment, research, and build production-grade Voice AI infrastructure. • High-impact role with ownership and technical leadership opportunities. • Collaborative and innovation-driven work environment. Ideal Candidate We are looking for someone who is deeply interested in speech processing and Voice AI, comfortable taking ownership of the complete speech pipeline—from audio preprocessing and feature engineering to speech synthesis, recognition, and deployment. The ideal candidate is excited about solving challenges in Indian languages and dialects, capable of leading Voice AI initiatives end-to-end, and committed to building scalable, production-ready speech systems using both traditional speech processing techniques and modern machine learning approaches. Apply Now About the company ViH Labs and Innovation Actively Hiring 51-200 Employees Gurugram 51-200 Enterprise Software Telecommunications Machine Learning Artificial Intelligence Customer Experience Responds within two weeks Learn more about ViH Labs and Innovation Founders Mitangshu Chatterjee Founder Noida View the team Similar Jobs Navtech We design and develop the most innovative solutions for your users! AI/ML Engineer ₹6L – ₹10L • No equity Apply EveoAI A novel approach to managing fashion, style, and personality through Generative AI AI-ML Engineer ₹1L – ₹2.5L • No equity Apply Ekshvaku Tech Innovations We deliver AI-driven software solutions that transform healthcare, communications, and ent Generative AI Engineer (LLMs & RAG) – Healthcare SaaS ₹15L – ₹30L • No equity Apply Boock.ai Reading Reimagined! Founding Agentic AI Engineer - Boock.ai (Remote India) ₹4L – ₹6L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions AI Engineer- NetSuite/Hubspot ₹10L – ₹20L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Data Scientist - AI/ML ₹25L – ₹40L • No equity Apply AuxoAI We help companies—turn their strategies into practical digital and AI solutions Senior Applied AI Engineer (Computer Vision) ₹25L – ₹40L • No equity Apply Prompt Smart Solutions We are Prompt-Driven executive search firm GenAI Engineer ₹18L – ₹30L • No equity Apply AI Planet Making secure and private AI accessible for all Sr. Full-Stack AI Engineer ₹5L – ₹8L • No equity Apply For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. 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IDT Actively Hiring Web and Mobile Applications, Enterprise Software, & Telecommunications Public Stage Save Apply Now Data & Machine Learning Engineer Remote ( Everywhere ) • Bogota |Full Time Posted: 1 month ago Job Location Bogota Hires remotely in Everywhere Visa Sponsorship Not Available Relocation Not Allowed Hiring contact Lucía Soler Employee Peru About the job This is a full-time work from home opportunity for a star Data/ML Engineer from LATAM. IDT(www.idt.net) is an American telecommunications company founded in 1990 and headquartered in New Jersey. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1300 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Data/ML Engineer to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you! Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: 8+ years of experience as a Data Engineer with 2+ years focused on MLOps. Excellent English communication skills. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. Please attach CV in English. The interview process will be conducted in English. Only accepting applicants from LATAM. Apply Now About the company IDT Actively Hiring Web and Mobile Applications, Enterprise Software, & Telecommunications 51-200 Employees New Jersey 51-200 Incubator Retail Software Development Telephony Enterprise Software Telecommunications Application Platforms Mobile Payments Public Stage Employees joined from IBM Citi net2phone iconectiv Learn more about IDT Perks Parental leave Remote friendly Company meals Wellness benefits Professional development Explore IDT's perks and benefits For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs
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LifeBonder Actively Hiring A Human-Centered Friendship Network App for authentic relations locally Top 10% of responders Responds within a few days Growing fast Save Apply Now AI & Machine Learning Engineer at Human-Centered Social Network Startup No equity | Remote ( Canada • Europe +4 ) |3 years of exp |Internship Posted: 1 week ago• Recruiter recently active Hires remotely in Canada - Europe - United States - Ireland - Scandinavia - England Remote Work Policy Remote only Company Location Copenhagen • Vejle Visa Sponsorship Not Available Preferred Timezones Central European Time Collaboration Hours 8:51 AM - 4:00 PM Relocation Not Allowed Skills Python C++ R TensorFlow PyTorch About the job We want to make the world a better place by filling a growing need for direct socializing outside social media - connecting people in friendships that are human, profound, and meaningful. LifeBonder makes it easy for people to connect in a deeper reality through shared spaces, values, and goals because our vision is to build social bonds in real life. Note: This is an UNPAID volunteer opportunity! Job brief We are actively searching for a talented and experienced AI and Machine Learning (ML) Engineer to join our team. As an AI and Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating systems. In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning. Responsibilities Design machine learning systems Research and implement appropriate AI models and ML algorithms and tools Develop machine learning application according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements and skills Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus What We Offer We are a big team of endlessly dedicated developers offering a friendly work environment where everyone is equal. We offer real-world work experience and exciting challenges where you can make a real difference. Excellent recommendations and when you’re ready to move on, we’ve got your back. Apply Now About the company LifeBonder Actively Hiring A Human-Centered Friendship Network App for authentic relations locally 11-50 Employees Copenhagen 11-50 Startup Mobile Application Social Network Top 10% of responders Responds within a few days Growing fast Learn more about LifeBonder Perks Remote friendly Professional development Company events Volunteer opportunities Explore LifeBonder's perks and benefits For Candidates Overview Startup Jobs Web3 Jobs Featured Startup Hiring Data Tech Startups Remote For Recruiters Overview Recruit Pro Curated Wellfound:ai Hire Developers Pricing Company About Help Blog Terms & Risks Privacy & Cookies Trust Platform Status Copyright © 2026 Wellfound. All rights reserved. Cookie Preferences Browse by: Jobs, Remote Jobs, Locations, Startups, Startups Hiring, Industries, Tech Hubs