Senior Backend Engineer (Machine Learning)
Tennr
- New York, United States
- Senior Level
- Posted
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
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