
You will own the software delivery across application, backend, and AI components while developing computer vision models for diagnostic hardware. Additionally, you will build backend APIs, manage data pipelines, and help define the technical strategy for commercialization.
The role requires a master's degree or equivalent experience with at least 3 years in software development and production application building. Candidates must have strong Python skills and practical experience in computer vision, machine learning, and hardware integration.
Join an early-stage healthtech team as its founding software and AI engineer, taking diagnostic technology from research prototype to deployed medical device. You will build production software and AI systems while helping shape the technical strategy for commercialization.
Own software delivery across the application, backend, and AI components.
Develop and deploy computer vision models to interpret colorimetric signals from diagnostic hardware.
Build backend APIs and establish architecture, testing, and deployment practices.
Integrate imaging hardware and manage data pipelines for machine learning workflows.
Help define technical strategy and support commercialization alongside the founding team.
A relevant master's degree or equivalent practical experience, with at least 3 years of software development experience building production applications.
Strong Python skills and experience shipping production software, building backend systems and APIs, and designing production software architecture.
Practical experience building and deploying computer vision and machine learning models, including data pipelines for ML workflows.
Experience with frontend or mobile development, C or C++, and software integration with hardware or embedded systems.
Familiarity with cloud or on-premises deployment, CI/CD, and MLOps practices.
Medical device or other regulated software experience, including familiarity with IEC 62304, is valuable, as is experience taking prototypes to commercial deployment.
An independent, entrepreneurial approach and strong ownership mindset.
Visa sponsorship is not available. Local work authorization is required.
On-site in Munich, Bavaria, Germany.
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