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Product Engineer

Teton.ai Aps



  • Software Development
  • Full-time
  • Copenhagen, DK

At Teton, we are redefining the role of healthcare workers through cutting-edge AI technology. Facing a global nursing shortage, our solutions offer vital support to overburdened health systems. We are experiencing rapid growth, patient and residents across 4 countries already benefiting from our technology. We distinguish ourselves by focusing relentlessly on product excellence and user experience, rapidly deploying solutions that make a real difference.

We require a physical presence in our office in Copenhagen, Denmark. We believe this enables the fastest and most efficient iteration cycles to build an impactful product that users love to use.

We want builders who move at extreme speed while maintaining quality. If are not ready to work more than 9-17 this isn't for you. We are well funded and offer significant stock options. This job will require work trips abroad as most of our customers are in US.

What We're Looking For

  • Obsessed with shipping fast
  • Expert in using LLM tools (Cursor, Claude, ChatGPT) to accelerate development
  • Strong TypeScript/React skills and experience with real-time systems
  • You learn fast and take ownership of technical decisions
  • Experience building LLM agents

What You'll Build

  • Novel interactions based on the merge of real time analytics and user inputs
  • Workflow automations
  • Health insights powered by our real time sensor data
  • Features shaped by direct feedback from healthcare workers

Our Stack

  • TypeScript/React frontend
  • Python/FastAPI backend
  • AWS infrastructure
  • IoT sensors and edge computing
  • ML pipeline for real-time predictions

What We Offer

  • Stock options
  • Work with state-of-the-art technology in a pioneering field
  • Impact the future of healthcare
  • No politics, minimum meetings, meritocratic organisation of do’ers
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Teton.ai Aps

Main office: Uplandsgade 56, 2, 2300 København S

Teton.ai is building the future of patient monitoring and workflow management at hospitals. Utilising advances in deep learning and computer vision we are working towards creating intelligent autonomous monitoring systems.


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