Member of technical staff - Agent

H

About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job. The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable. Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services. Key Responsibilities: * Designing and managing the infrastructure to support * Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. * Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem). * Setup and maintain observability and monitoring strategies. Requirements: * MUST HAVE * Observability and monitoring (Datadog, Prometheus, Grafana, …) * Good knowledge of a modern programming language (ideally Python or JS/Typescript) * NICE TO HAVE * ML Ops or Data Engineering * Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) * Containerization and orchestration tools (Docker, Kubernetes, …) * Infrastructure as code (CDK, Terraform, ...) * CICD management experience (Github Actions, Gitlab CI, TeamCity, ...). Location: * Paris or London. * This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer: * Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups * Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment * Enjoy a competitive salary * Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.

H

About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions. This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI. Key Responsibilities: * Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs). * Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments. * Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures. * Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure. * Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design. * Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle. Requirements: * Technical Skills: * Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production. * Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science. * Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs). * Soft Skills: * Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment. * High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly. * Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI. * Bonus Skills: * Practical experience applying Reinforcement Learning to systems built on Large Language Models (LLMs). * Experience with distributed systems or cloud computing, preferably in AWS. * Familiarity with building complex simulation environments for agent training. * Experience with LLM training or fine-tuning. * Experience developing large-scale evaluation and benchmarking systems for AI models. * Experience in an agentic framework (e.g., LangChain, AutoGen, CrewAI, OpenAI SDK). * Expertise in system architecture, instrumentation, observability, and monitoring for complex, high-performance systems. Location: * Paris or London. * This role is hybrid, and you are expected to be in the office 3 days a week on average. * Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks). What We Offer: * Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups. * Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment. * Enjoy a competitive salary. * Unlock opportunities for professional growth, continuous learning, and career development. If you want to change the status quo in AI, join us.

ellamind

Agents are only as good as the team behind them. We're experienced researchers and engineers building vertical AI agents that run in production inside some of the most demanding environments there are: health insurers, banks, and the public sector, where decisions are audited and mistakes carry real consequences. We're looking for a strong generalist who's comfortable moving across the stack and isn't fenced into one specialty, the kind of engineer who can follow a problem from the frontend down to the infrastructure and into the AI layer. Agents are a big part of how you cover that ground. The twist that makes this role unusual: you use agents to improve agents. You'll wield agentic coding tools to build, evaluate, and harden the production AI agents we ship to customers, and feed what you learn straight back into making the next ones better. You go wherever the hard problem is, and you understand what's happening underneath, in the systems you build and in the models and agents themselves. WHAT YOU'LL DO * Use agents to improve agents. Wield agentic coding tools (Claude, Codex, ...) to build, evaluate, and harden the production agents we ship, then fold what you learn back into faster, better tooling and stronger agents for the next use case. The better you get at directing agents, the better the agents you ship. * Work across the stack. Frontend, backend, infrastructure, data, and the AI layer. You go where the problem is instead of waiting for it to land in your lane. * Build and ship production AI agents. Take agents from prototype to production inside regulated environments: orchestration, tool use, messy real-world inputs, and the reliability and auditability real operations demand. * Own things end-to-end. From a vague problem to a deployed, reliable system: design it, build it, deploy it, and keep it running. * Go deep when it counts. Understand the systems beneath the surface, distributed systems behavior, infra, and how LLMs and agents actually work, so you can debug what others can't and make good calls under uncertainty. * Stay ahead. The tools and models change every few weeks. You test new releases early and translate what works into how you and the team build. WHAT WE'RE LOOKING FOR Must-haves * Generalist range: you're excellent in at least one area and genuinely comfortable working outside it. You don't need to be an expert in everything; you need to be the kind of person who picks up an unfamiliar part of the stack and gets productive fast, with agents helping you go further. * Fluency with coding agents as your default way of working. You can point to specific workflows, failure modes, and things you've actually built or shipped with agents, not just tried. * A real mental model of how LLMs and agents work: why they fail, how to evaluate them, and how to make non-deterministic systems dependable. * Strong engineering judgment: you read unfamiliar code critically, catch when an agent has gone off track, and know what good architecture looks like. * Enthusiasm about AI and its applications. In software development and beyond. * On-site collaboration ≥3 days/week in Berlin or Bremen. Travel to our Bremen HQ during onboarding. * Fluency in English (at least B2). * Valid EU work authorization. Nice-to-haves * Depth in one area that complements the breadth (e.g. distributed systems, infra/DevOps, full-stack, or applied AI/LLMs). * Experience building agent systems: orchestration, tool use, evaluation, or agent frameworks. * Experience taking AI from prototype to production, not just demos. * Experience in regulated industries (insurance, banking, public sector) or other compliance-heavy domains. * German language skills. * Open-source contributions or public writing on agents, applied AI, or agentic workflows. What matters most We prioritize demonstrated excellence in your projects and career. If you’re motivated to build and optimize AI solutions, we want to hear from you, even if you don’t meet every single criterion. WHY US? * Shape the future of AI development: You'll have real influence over our products and technical direction, helping decide how AI agents get built, evaluated, and deployed in the environments where it's hardest to get right. * Always at the frontier: You'll work with the newest models and techniques the moment they land, on the problems that make agents actually function in production: orchestrating multi-step workflows, integrating and switching across LLMs, building robust evaluation and guardrails, handling messy real-world inputs (PDFs, scans, voice), and engineering for auditability and reliability under regulatory constraints. Modern, well-architected systems, no legacy baggage holding you back. * Career-defining opportunity: AI agents are about to reshape how entire regulated industries operate, and getting them out of the demo and into real operations is the hardest, most valuable problem in the field right now. Almost no one has done it inside environments like health insurers, banks, and public institutions. You'll be one of the people who builds them first, and walk away with expertise and a track record that very few engineers in the world can claim. * Ownership and impact: Get full end-to-end ownership of the agents and systems you build, direct collaboration with AI researchers and engineers, and immediate feedback on how your work helps customers ship reliable AI. Your engineering decisions directly shape agents that make real, audited decisions in production. * Competitive package with upside: In addition to a competitive salary, we offer a VSOP (Virtual Stock Option Program) to give you a stake in the company’s success as we grow. * Best-in-class development experience: Generous, no-friction access to all the AI tools and platforms that make your day-to-day faster, so you spend your time on hard problems, not on overhead. * Work environment: Our Bremen office features stunning waterfront views, complimentary beverages, smoothies, and a boat. We also have an office in Berlin, giving you flexibility across both locations. * Grow with transformative technology: Build deep expertise in AI agents, evaluation and infrastructure alongside our expanding team, mastering the technologies that are reshaping entire industries. ABOUT ELLAMIND We build the tools enterprises need to trust, deploy, and scale AI agents. elluminate evaluates LLMs and agents with evidence instead of guesswork; ellarun deploys them securely in hours, not months; and the ellaverse provides realistic, domain-specific, rigorously validated environments to put agents through their paces before they ever reach a customer. We like owning problems end-to-end, shipping pragmatically, and giving back to the open-source community. We're cash-flow positive, with offices in Bremen (HQ) and Berlin.