Summary
✨ AI‑Generated
An experienced Full-Stack Product Engineer is sought to build and operate a healthcare-oriented platform and internal tools in a hybrid environment. You will own features from discovery and architecture through implementation, rollout, monitoring, and improvement, while integrating AI capabilities and maintaining strong standards for reliability, security, and privacy.
Highlights
Build and operate healthcare-focused applications and internal tools with end-to-end ownership. The role combines product engineering, AI-enabled features, reliability, security, and close collaboration with product and domain experts.
Description
The Role
We are looking for an experienced Full-Stack Product Engineer (3+ years professional experience for the regular role, 5+ years for Senior) to build and operate our patient platform and internal tools in a hybrid team based in Munich.
This is not a remote-only position.
We work hybrid: 2–3 home office days per week, presence at our Munich office on the remaining days.
Your Responsibilities
End-to-end development and operation of frontend, backend, APIs, and system integrations – from idea to monitoring Translate medical and operational requirements into clear product and feature concepts, working closely with Product and domain experts Implement and integrate AI-powered features, decision support tools, and data products Own the full feature lifecycle: discovery, architecture, implementation, rollout, monitoring, and iterative improvement Ensure reliability, security, and data privacy in a healthcare context Prioritize by business impact – no over-engineering culture
Must-Haves
3+ years of professional software development (5+ for Senior) Strong hands-on experience in several of: React / React Native, TypeScript, Python, Django, Kubernetes Practical AI/ML experience – LLMs, RAG architectures, not buzzword-level familiarity German at C1 level (fluent) – the team and medical domain experts communicate in German English at B2 level – sufficient for technical documentation and code comments Strong product and business mindset with startup ownership mentality Pragmatic approach: shipped and working beats perfect and never released
Nice-to-Have
Experience with encryption, data privacy, and compliance (health data) Prior work in healthcare
What We Offer
Purpose-driven work with direct impact on chronic disease patient outcomes Modern tech stack with real AI applications (no buzzword project) Short path from idea to production – you shape the product, not process tickets VSOP participation in company success Personal learning and development budget Flexible hybrid model (2–3 home office days/week) in Munich Flat hierarchies, transparent communication, weekly OKRs Team events, Oktoberfest tradition, office snacks, Wellpass membership
Hiring Process
Initial chat (20 min) – Get to know each other, culture & team fit Technical interviews (2 x 60 min) – Technical deep dive + case interview Final interviews (2 x 60 min) – Peer & bar raiser
