Tennr is a patient orchestration platform that helps providers get the right patients into the right care settings at the right time. Backed by Lightspeed, Y Combinator and a16z.
About the role
As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure
- A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures
- Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution
More about this role
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.
We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare.
This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow..
As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and...
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