AI Product Engineer

We're looking for someone with 2-8 years of software engineering experience (ideally 4-6 years) who has at least one clear "peak" in their career — whether that's a top-tier school, rapid promotion trajectory, early-stage startup growth experience, or working on a standout team at a top company. You should be comfortable with high ownership, end-to-end product thinking, and building backend-heavy systems in Python. Bonus points if you have healthcare or health-tech experience, familiarity with Rust, or experience at fast-growing platform companies.

Responsibilities

- Take full ownership of product features end-to-end — from ideation and design through implementation and deployment — in a team with no product managers

- Build and scale agentic AI workflows and agent primitives that power reliable, long-running clinical reasoning tasks across major health systems like Mayo Clinic and Cleveland Clinic

- Spend roughly half your time generating code and half planning, reviewing, and thinking deeply about user impact and technical architecture

- Work primarily on backend infrastructure (approximately 65% backend, 35% frontend) using Python, Rust, React/TypeScript, and Kubernetes on AWS

- Collaborate async with a flat, seven-person engineering team where everyone works across the full product — no silos, no standups, minimal meetings

- Develop deep product intuition by interfacing with clinicians, end users, and customer call recordings to translate clinical needs into actionable technical solutions

- Contribute to building net-new feature sets (30-40% of work) on top of existing infrastructure, with very little maintenance burden