Agent Engineer

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.