Senior AI Product Engineer
Noah Labs
Seniority
Senior
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
As a Senior AI Product Engineer you work within the product team closely with the Product Lead to deliver substantial projects across our AI-enabled telemonitoring platform end-to-end. You take ownership of specific projects from scoping through implementation, release, and post-launch iteration, contributing across the full stack.
What you'll do
- Own projects end-to-end, from concept through prototyping, experimentation, testing, and continuous optimisation. Break work into actionable projects, oversee delivery with more junior developers, and close the loop between Product and stakeholders through A/B experiments and feedback-driven improvements.
- Refine high-level requirements with stakeholders beyond engineering, such as sales, founders, and customers to gather context required to shape the project. Lead implementation by directing a project-based squad of engineers.
- Work across the stack, building and evolving frontend physician and patient interfaces, and on backend topics such as creating APIs and data modeling.
- Follow established patterns for error handling, versioning, and backward compatibility to protect customers and clinical operations.
- Integrate custom ML models and off-the-shelf AI services into product workflows with appropriate handling for latency, failure modes, and data quality.
- Uphold engineering standards: code review discipline, definition of done, CI/CD expectations, and documentation norms.
- Make work observable and diagnosable in production through metrics, logs, traces, alerting, and runbooks.
What you'll need
- M.Sc. in a STEM field and 3+ years of professional full-time full-stack experience
- Strong proficiency in Python on the backend and TypeScript/React on the frontend.
- Product and user-focused mindset with a strong understanding of user experience (UX) and contributing to design decisions that solve real-world problems
- Comfort with high ownership in a small, autonomous team and excellent interpersonal communication skills.
- Fluent written and spoken English.
Nice to have
- Familiarity with ML/data pipelines, audio/signal processing, or clinical data.
- Track record of shipping complex, AI-enabled features end-to-end.
- Working knowledge of DevOps and cloud infrastructure (e.g., GCP, CI/CD, IaC).
- Experience with regulated software (MDR, ISO 13485, IEC 62304) or healthcare products.
- German language skills for interviewing customers and users.
What they offer
- Opportunity to make a tangible impact on the lives of millions of people.
- Competitive compensation package with meaningful company shares and long-term growth potential.
- Access to Urban Sports Club to help you stay active and fit.
- Beautiful office in the heart of Berlin-Mitte with a high-end espresso machine, drinks, and more.

