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.

Responsibilities

• 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.

Qualifications

• 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.

Pay

Base salary of $150,000 to $200,000 annually.

Benefits

Meaningful equity. Visa sponsorship is not available.

Schedule

Full-time, on-site in San Francisco, California, five days per week.