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Teton is seeking a backend engineer to design and maintain services that handle continuous, high-volume data streams from many devices in care settings. Strong candidates will have experience with real-time data pipelines, reliable APIs, and cloud infrastructure, with a focus on data accuracy and uptime.
This role supports AI by feeding clean, timely data and offers hands-on exposure to streaming data, model deployment, and monitoring AI outputs in production.
A backend engineer in this role typically builds and maintains services that handle continuous, high volume data streams from many devices. Strong candidates bring experience with real time data pipelines, reliable APIs, and cloud infrastructure. Since the company works on monitoring in care settings, care for data accuracy and uptime matters.
AI changes this work by automating parts of data processing and anomaly detection, so engineers focus more on system design and reliability. The human side stays in making sure data is trustworthy, handling edge cases, and keeping systems running when conditions are messy. This role supports AI by feeding it clean, timely data.
Working here offers hands on exposure to computer vision and real time AI systems at scale. Engineers can build skills in streaming data, model deployment, and monitoring AI outputs in production. That experience is valuable for roles that connect backend systems with applied AI.
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.
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.