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Senior Backend Engineer (ML)

Tennr· Engineering
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New York City Office$190k - $215kFull-timePosted 3w ago

About the role

Senior Backend Engineer focusing on ML-driven, agentic workflows and production-ready AI systems in healthcare, bridging ML research and real-world product delivery with full-stack responsibilities.

Responsibilities

  • Ship full-stack AI systems end-to-end
  • Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows
  • Go from ideation to code within hours; iterate quickly on experiments and data
  • Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product

Qualifications

  • 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

Skills

Required:Full-stack developmentLLM APIs

Benefits

  • Beautiful new office at 345 Hudson Street
  • Unlimited PTO
  • 100% paid employee health benefit options
  • Employer-funded 401(k) match
  • Competitive parental leave
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Tennr

Fast, Transparent Patient Experiences

Tennr is solving the black hole problem in healthcare by leveraging models to digitize the flow of paperwork between healthcare providers. -- Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.

healthcare

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