Senior LLMOps Engineer

We’re Heidi.

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries.

Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart.

We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.

If you don’t choose easy and you want to build something way bigger than yourself then, choose the challenge, choose Heidi.

The role

This role sits in the model team, the researchers and engineers who train, deploy, and own the AI models behind every Heidi product. Those models run at serious scale; what they need now is a serious operational layer around them.

You'll build it: full visibility into every deployment, a feedback flywheel that turns real clinician signals into better models, and per-model unit economics that tell us which models pay their way.

We're looking for someone who has already built this at an AI company operating at or beyond our maturity, and can bring that playbook to Heidi. It's a hands-on senior engineering role: you'll design the data models, build the pipelines, dashboards, and agents, and own them in production.

 

What you’ll do

- Build the deployment health dashboard. Give the team live visibility into every model in production: health metrics, monitoring, and proactive incident alerting that catches problems before clinicians feel them.

- Make every incident tr...