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Teton AI

AI-driven patient monitoring for care facilities

Software Engineer - Mobile

Mobile EngineeringConfirmed live in the last 24 hours
Full-timeCopenhagen, Denmark

About the Job

Requirements

  • Strong TypeScript skills.
  • Solid production experience with React Native and Expo.
  • Experience working across the stack, including databases, queues, or cloud infrastructure, not only user interfaces.
  • Experience with AWS or an equivalent cloud platform.
  • Previous startup experience and/or experience shipping a product with ownership of its outcome.
  • Ability to work independently and collaboratively.

Responsibilities

  • Own features end-to-end, from design discussions through implementation to production rollout across multiple markets and languages.
  • Maintain reliability of the real-time alert pipeline by debugging push notification delivery on Android and iOS, investigating application not responding issues, and troubleshooting bugs in care environments with unreliable Wi-Fi.
  • Work across backend services, databases, cloud infrastructure, and internal platforms; help shape, improve, and fix the systems supporting the app.
  • Build automated test coverage, such as end-to-end tests with Maestro, across devices and operating system versions, and validate alert delivery.
  • Improve shared components, internal tooling, and build pipelines so the team can ship faster with fewer surprises.

Desired Qualifications

  • Experience with native iOS or Android development using Kotlin or Swift.
  • Familiarity with real-time systems, push notifications, or TanStack.

About the Company

Teton AI

AI-driven patient monitoring for care facilities

Teton AI provides a B2B health-tech SaaS platform for hospitals and senior-care facilities that uses edge AI with optical sensors to monitor patient rooms. The system runs on-device with infrared for 24/7 operation, analyzes activity and movements to generate real-time alerts (e.g., fall risks) and track sleep and mobility, without storing personal data or images. It creates a digital twin of care operations to optimize workflows, forecast staffing needs, and improve operational efficiency, including portfolio-level analytics. The company differentiates itself by privacy-preserving on-device processing and proactive interventions to reduce manual checks, with a goal to expand internationally and help healthcare facilities manage workloads more efficiently amid nursing shortages.

Company size
51-200
Company stage
Series A
Total funding
$25.3M
Headquarters
Copenhagen, Denmark
Founded
2020

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