12 hours ago
Base Salary
$150k - $200k/yr
Responsibilities
- Design and implement orchestration layers for multi-step agentic workflows.
- Integrate external tools, APIs, and services with reliable tool calling and error handling.
- Build retrieval and evaluation infrastructure to improve agent reliability and accuracy.
- Identify and automate recurring manual work across clinic and internal operations.
- Monitor production agent performance and iterate on system design based on real-world behavior.
Requirements
- Demonstrated experience building agent or LLM systems through professional work, personal projects, research, or open-source contributions.
- Strong mathematics and computer science fundamentals demonstrated through academics, competitions, or 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 systems.
- Experience designing evaluation frameworks or monitoring systems for agent reliability.
- Recent graduates and self-taught builders are welcome; no professional experience is required.
- Preferred qualifications include healthcare, medical, or regulated-industry experience; prompt engineering or LLM fine-tuning; open-source AI/ML contributions or published research; and early-stage startup experience.
Benefits
- Meaningful equity is offered.
- Full-time, on-site work five days per week in San Francisco, California.