You'll work directly with hospitals and clinics to deploy and refine enterprise-grade systems - AI-driven patient communication and triage, agent orchestration, and secure healthcare data layers with low-latency voice and video.

This is a hands-on, Python-heavy role focused on building and scaling distributed systems and solving complex, high-impact problems. At the principal/staff level, you'll own system architecture and reliability at scale while supporting and guiding other engineers.

What You'll Do

Architect and scale AI agents for healthcare applications
Work on systems involving LLMs, reinforcement learning, and agent-based architectures
Collaborate with a small team to ship and iterate quickly
Solve high-impact problems, including system performance and clinical accuracy
Design system architecture and own reliability at scale
Support team members through code reviews and knowledge sharing

What You'll Bring

7+ years building complex, production-grade systems
Systems thinking: designing scalable systems and owning architecture decisions
Problem solving: turning ambiguous requirements into scalable solutions
Leadership: supporting other engineers through code reviews and technical guidance
Low ego, high agency, and comfort in a fast-moving environment

Nice to Have

A background in healthcare, AI, or agentic systems