About the RoleThis 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 & BenefitsBase salary of
$150,000 to $200,000 annually, plus meaningful equity. Visa sponsorship is not available.
LocationFull-time, on-site in
San Francisco, California, five days per week.
