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Senior Backend Engineer (Machine Learning)

Tennr

Skills

Required

  • full-stack development
  • system design
  • backend engineering
  • observability infrastructure
  • LLM-centered software architectures

Preferred

  • frontend integration
  • model deployment
  • aligning on interfaces

Join Tennr as a Senior Backend Engineer on the ML team, where you'll bridge the gap between cutting-edge machine learning research and real-world product delivery in the healthcare sector. You'll design and build agentic workflows, create data pipelines, and develop scalable production-grade systems. This role requires full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. Enjoy meaningful equity, unlimited PTO, and a collaborative in-person culture.

Responsibilities

  • Design and build agentic workflows that power complex healthcare processes, ensuring the use of the best-fit technology for each workflow.
  • Collaborate with researchers to translate new techniques and insights into production-ready systems, working across the stack from data collection to frontend integration.
  • Ship full-stack AI systems end-to-end, designing resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
  • Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution

Requirements

  • 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

Pay

USD 190,000 - 215,000