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 .

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.