Full Stack Engineer
Revive GmbH
München, Germany
23 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
€75,000.0 - €100,000.0
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
Artificial Intelligence
Django Web Framework
Python (Programming Language)
Machine Learning
Software Engineering
TypeScript
ReactJS
Large Language Models
Kubernetes
Data Analytics
React Native
Job description
- Purpose-driven work with direct, measurable patient impact
- Modern tech stack with real AI use cases (not just buzzwords)
- Hybrid working (2-3 days home office) in Munich
- Fast idea-to-production cycles and high technical ownership
- 28 days holiday + flexible working culture
- Learning & development budget tailored to you
- VSOP / equity participation in a high-growth healthtech company
- Inclusive start-up culture with regular team events and celebrations
Requirements
- 3+ years professional software engineering experience (5+ years for senior level)
- Strong experience with several of: React / React Native, TypeScript, Python, Django, Kubernetes
- Hands-on exposure to AI / ML use cases (LLMs, RAG, data-driven products)
- German C1 and English B2 (collaboration with clinical teams is key)
- A product mindset, start-up mentality and strong sense of ownership
Nice to have:
- Experience with privacy, security or healthcare data
- Previous work in regulated or mission-critical environments
About the company
- Build and own end-to-end product features across frontend, backend, APIs and integrations
- Work closely with Product, Medical and Practice teams to translate real-world needs into scalable software
- Develop and integrate AI-powered features (e.g. LLMs, RAG architectures, decision support tools)
- Own the full feature lifecycle: discovery * architecture * delivery * monitoring * iteration
- Ensure reliability, security and data privacy in a regulated healthcare environment
- Make pragmatic technical decisions with a strong focus on impact over over-engineering
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