About the role
Responsibilities:
- Own AI products end-to-end, from architecture and development to launch and iteration.
- Build backend services, data pipelines, and LLM systems for clinical workflows.
- Develop agentic systems, RAG pipelines, model routing, and verification layers.
- Build evaluation frameworks for clinical accuracy, safety, empathy, and reliability.
- Collaborate with doctors, product, design, and engineering teams.
- Implement safety mechanisms for uncertainty, emergency escalation, and human review.
- Improve AI processing of medical histories, symptoms, PDFs, lab reports, and prescriptions.
- Debug production issues across application, data, AI, and infrastructure.
- Establish engineering standards for reliability, privacy, testing, and observability.
Requirements:
- 5+ years of production software engineering experience.
- Strong backend and Python expertise.
- Experience building production LLM, ML, or data-intensive systems.
- Strong knowledge of APIs, distributed systems, testing, and monitoring.
- Experience with RAG, agents, prompt engineering, model routing, and evaluations.
- Strong product thinking and problem-solving skills.
- Comfortable working in ambiguous, high-stakes environments.
- Excellent communication and cross-functional collaboration.
- Strong ownership, decision-making, and execution skills.