Senior Backend Engineer (ML)

COMPANY DESCRIPTION

Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.

 

ROLE DESCRIPTION

We're looking for a founding Sr. ML Infrastructure Engineer with a strong background in distributed systems and building pipelines that scale. In this role, you'll own the infrastructure that powers Tennr's AI-driven healthcare platform - the training, inference, and data pipelines that let our models handle growing traffic and an expanding product surface.

Our ML team builds in-house, proprietary VLMs, LLMs, and other models purpose-built for hard problems in healthcare. You don't need deep ML experience to thrive here - what matters is a strong system design foundation and the interest to grow into the ML-side. If you think in systems, care about reliability, and want to expand into ML infrastructure, this is a rare chance to build foundational systems from the ground up.

 

RESPONSIBILITIES

- Architect, build, and scale the cloud infrastructure behind our ML training, inference, and data pipelines.

- Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.

- Own observability across the stack - logging, metrics, tracing, and alerting.

- Troubleshoot production issues and continuously improve performance and efficiency.

- Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and products.

 

CANDIDATE QUALIFICATIONS

- 4+ years bui...