Roger Healthcare

Senior Applied AI Engineer

San Francisco Office · Senior

Sponsorship not specifiedDetected 13 days ago

LLMsAgentic AIResearch

About the role

Roger is an AI platform that frees home health clinicians from paperwork so they can focus on what matters: delivering life-changing care to our most vulnerable elderly patients in the comfort of their homes.
Backed by leading healthcare investors like SignalFire, we've powered millions of visits, deployed to thousands of clinicians, and we're just getting started.
The administrative work behind home health is messy, unstructured, and high-stakes.

Build eval datasets and pipelines that let us measure model accuracy rigorously and improve it continuously.
Design how we measure accuracy in the first place: the metrics, harnesses, and feedback loops that turn real clinical outcomes into measurable model improvements.
Build scalable, cost-efficient inference infrastructure with great monitoring and observability.
Build better agentic infrastructure and partner on the interfaces that turn model capability into a great clinician experience.
Experience building agentic systems: tool use, generator and critic loops, planners and executors, and orchestration where one agent's output drives another's work.
Comfort building infrastructure that is fast, reliable, and cost-efficient at scale.

7+ years of professional software engineering experience, with meaningful depth in AI/ML.
Experience training, fine-tuning, or evaluating LLMs and open source models, with real opinions about what works and what does not.
You can describe something you built, what broke, and how you fixed it.

This listing is sourced directly from Roger Healthcare's careers page and normalized into a canonical job model.