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About the Role
Own the core agent infrastructure that powers AI systems, including orchestration, tool integrations, retrieval, and evaluation for patient-facing and internal workflows. This systems and infrastructure role focuses on designing end-to-end agentic workflows and shipping reliable systems with ongoing monitoring and improvement.
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 with reliable tool calling and robust 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.
Requirements
- Strong CS fundamentals and mathematical abilities demonstrated through academic achievement, competition, or self-directed learning.
- Experience or strong project work with agent or LLM systems including orchestration, tool integrations, retrieval-augmented generation, or evaluation frameworks.
- Automations mindset with a track record of turning manual workflows into reliable, scalable systems.
- Open to recent graduates and self-taught builders; professional experience is welcome but not required.
Location
- San Francisco, California, United States
Work Type
- On-site
- Full-time
Experience Level
- Recent graduates welcome
- Self-taught builders welcome
Salary/Compensations
- USD 150,000 to USD 220,000 annually
Benefits
- Meaningful equity
- Supportive early-stage startup environment