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At a glanceSummarised by Seekless from the posting.
Must have10
Proficiency in full-stack development
Strong understanding of system design
Strong understanding of backend engineering
Strong understanding of observability infrastructure
Track record 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
Hands-on expertise with LLM APIs
Proven track record of deploying AI systems into production
Full-stack engineering experience
High-agency (self-directed) attitude
Skills
LLM APIs
Benefits
Unlimited PTO
Health insurance
401(k)
Parental leave
Free lunch
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 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 insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments.
Responsibilities
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.
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Ship full-stack AI systems end-to-end
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Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
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Go from ideation to code within hours; iterate quickly on experiments and data.
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Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product
Qualifications
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Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure.
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A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures.
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Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution.
Why Tennr?
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Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
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Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
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Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
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Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week