Agent Engineer

ABOUT THE ROLE This role sits at the core of an early-stage healthtech marketplace, owning the agent infrastructure that powers both patient-facing and internal AI systems. You will design and build the orchestration layer, tool integrations, retrieval pipelines, and evaluation frameworks that automate clinic-side and internal operations end-to-end. This is a systems and infrastructure role, distinct from live conversation AI work, and your output will directly shape how the company scales. WHAT YOU'LL DO - Design and implement the orchestration layer for multi-step agentic workflows across clinic operations and internal processes. - Integrate external tools and APIs into agent systems, ensuring reliable tool calling and robust error handling. - Build retrieval and evaluation infrastructure to measure and continuously improve agent reliability and accuracy. - Identify recurring manual workflows and ship automation systems to eliminate them. - Monitor agent performance in production and iterate on system design based on real-world behavior. WHAT WE'RE LOOKING FOR - Demonstrated experience building agent or LLM systems through professional work, personal projects, research, or open-source contributions, covering areas such as orchestration, tool integrations, RAG, or evals. - Strong math and computer science fundamentals, evidenced by an elite academic record, competition experience, or fast self-directed learning in technical domains. - Experience designing and implementing agent orchestration systems or multi-step workflows. - Experience integrating tools, APIs, or external services into agent systems. - Experience building or working with retrieval-augmented generation (RAG) systems. - Experience designing evaluation frameworks or monitoring systems for agent reliability. - An automation instinct: you naturally spot recurring manual work and think in systems. - Ability to work effectively in a small, early-stage team with limited resources. - Bonus: experience with healthcare or regulated industry systems, prompt engineering, LLM fine-tuning, or open-source AI contributions. - No prior professional experience required; recent graduates and self-taught builders are welcome. COMPENSATION & BENEFITS Base salary of $150,000 to $200,000 annually, plus meaningful equity. Visa sponsorship is not available. LOCATION Full-time, on-site in San Francisco, California, five days per week.