About the role
We're looking for an AI engineer to own the loop that turns real-world patient interactions into better AI agents — from eval infrastructure to production-grade systems. You'll own the systems that make our agents smarter with every patient interaction — from the voice AI that activates patients and handles calls to insurances, vendors, and providers, to the autonomous workflows that orchestrate end-to-end care delivery.
You'll work directly with the founders to build production systems that learn and improve from real-world usage. You'll design the eval pipelines, capture the right signals from product usage, and create the reinforcement learning loops that drive continuous quality improvement across every agent we ship.
If you've built AI systems that get better with usage and want to apply that experience to healthcare — where every improvement directly impacts patient outcomes — we'd love to talk.
Responsibilities
- Launch and scale high-quality AI agents. Build and deploy voice AI for automating patient activation and outbound calls to insurances, vendors, and providers. Design individual agents that orchestrate end-to-end workflows such as DME delivery, prior authorizations, and care coordination. Build copilots that assist and nudge advocates in real time.
- Build the eval and reinforcement learning pipeline. Set up the evaluation infrastructure that measures agent quality across every interaction. Capture the right data from product usage, build the feedback loop, and implement RL pipelines so that agent performance improves continuously with real-world usage. Create the usage-driven product improvement flywheel.
- Scale AI Nurse by composing multiple agents. Bring together voice, workflow, and copilot agents into a unified AI Nurse experience. Ensure that as we scale, each agent reinforces the others through shared learning and a consistent improvement loop.
Our Culture
Everything we do is guided by a set of leadership principles that define how we operate: