Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE You will build and own the core agent infrastructure powering AI systems at a medical tourism startup, covering the orchestration layer, tool integrations, retrieval, and evals that run patient-facing and internal agents. This is a systems and infrastructure role focused on designing agentic workflows that automate clinic-side and internal operations end-to-end, distinct from live conversation AI work. 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 error handling.
- Build retrieval and evaluation infrastructure to measure and improve agent reliability and accuracy.
- Automate recurring manual work by identifying opportunities and shipping 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 (orchestration, tool integrations, RAG, or evals all count).
- Strong math and computer science fundamentals, evidenced by academic performance, competition experience, or fast self-directed learning.
- Experience designing and implementing agent orchestration systems or workflows.
- Experience integrating tools, APIs, or external services into agent systems.
- Experience building or working with retrieval-augmented generation (RAG) systems.
- Experience designing and implementing evaluation frameworks or monitoring systems for agent reliability.
- An automation instinct: you naturally spot recurring manual work and think in systems.
- No professional experience required; recent graduates and self-taught builders are welcome.
- Nice to have: experience in healthcare, medical, or regulated industry systems; prompt engineering or LLM fine-tuning; open-source AI/ML contributions or published research; early-stage startup experience. COMPENSATION & BENEFITS Base salary: $150,000 to $200,000 annually, plus meaningful equity. Visa sponsorship is not available. LOCATION Full-time, on-site five days per week in San Francisco, California.
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