Design and scale AI-powered healthcare platforms and distributed systems
Build and optimize agent-based architectures and orchestration systems
Develop secure healthcare data infrastructure and enterprise integrations
Work on systems leveraging LLMs, AI agents, reinforcement learning, and modern AI technologies
Improve system performance, reliability, scalability, and clinical accuracy
Collaborate closely with founders and a highly technical engineering team
Take ownership of technical decisions from architecture through deployment

5+ years of experience building complex production-grade software systems
Strong backend engineering expertise, ideally with Python
Experience designing scalable distributed systems
Ability to transform ambiguous business requirements into robust technical solutions
Strong software architecture and systems design skills
Experience operating in startup, scale-up, or high-growth environments
Comfortable working independently with high ownership and accountability
Experience with AI, machine learning, LLMs, or agentic systems (preferred)
Healthcare technology, health data, or clinical workflow experience (preferred)
Experience with cloud infrastructure and large-scale systems (preferred)
Proficiency in additional languages such as Go, Rust, TypeScript, or similar (preferred)
Open-source contributions, hackathons, or side projects demonstrating technical excellence (preferred)
Experience mentoring engineers and contributing to technical strategy (preferred)

Principal Software Engineer, Healthcare AI

Key skills