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Teton is seeking a product-minded backend engineer to own the server side of new features for care workers and managers, from API and data design through to live rollout. A strong candidate writes solid TypeScript, has production experience with Postgres and AWS, and is comfortable talking with non-technical users to turn messy feedback into clear decisions.
Privacy of residents' health data matters as much as speed.
The role is a product-minded backend job where one engineer owns the server side of new features for care workers and managers, from API and data design through to live rollout. A strong candidate writes solid TypeScript, has real production experience with Postgres and a cloud platform like AWS, and is happy to talk with non-technical users and turn their messy feedback into clear decisions. Care for the privacy of residents' health data matters as much as speed.
How it fits the AI era
Teton's product relies on AI and computer vision to read signals from room sensors, so much of the backend work is about getting those signals into features that care staff can trust and act on. AI coding tools can speed up writing APIs and schemas, but deciding what really makes a shift easier, cutting scope, and keeping alerts reliable and private still depends on human judgment. Talking with carers and checking whether a feature helped stays a human job.
How it builds AI experience
Working here would mean building features on top of AI-driven alerts and long-term health insights, which teaches how model outputs become dependable product behavior. Someone preparing could build a small TypeScript service that takes event data, sends notifications, and applies strict access control and audit logs. Reading about how AI detection results are handled in real-time systems would also help.
Worth showing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Teton
Per the company, Teton provides an AI and computer vision platform that monitors patient and resident rooms to detect activity and risk in real time.