About this role
Tennr is hiring a full-time Senior Backend Engineer (ML) for its New York City office to build agentic workflows that transform U.S. healthcare infrastructure. This role suits an experienced engineer with a background in full-stack development and artificial intelligence who wants to deploy production-grade machine learning systems.
Role Overview
This position sits on the machine learning team at Tennr, located at the New York City office. The engineer will bridge the gap between advanced machine learning research and practical product delivery. Responsibilities include designing data pipelines, building evaluation harnesses, and scaling production-grade agentic systems that use large language models, vision models, and structured automation to address inefficiencies in healthcare operations.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Tennr builds proprietary systems designed to handle the complex paperwork and insurance processes that delay patient care. By addressing administrative bottlenecks, the company helps healthcare providers get patients the right care at the right time. Employees operate under a core value of personal ownership and pace, collaborating directly in the Chelsea office.
How to Apply
Interested candidates should visit the official Tennr careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Backend Engineer (ML) role?
The position pays between $190,000 and $215,000 per year in USD.
Where is this job located?
The role is based out of the Tennr New York City office located at 345 Hudson Street, with in-office collaboration required four days a week.
Is this a remote position?
No, this is an on-site position at the New York City office and is not listed as remote.
What benefits are included with employment?
Benefits include unlimited paid time off, 100 percent paid employee health benefit options, an employer-funded 401(k) match, competitive parental leave, free lunch, and office snacks.
What primary technologies and skills are required?
Candidates need full-stack development skills, system design knowledge, backend engineering experience, observability infrastructure expertise, and a track record of building and scaling LLM-centered software architectures.