5+ years of experience in backend development with Java/Kotlin
Strong knowledge of Spring Boot or Jakarta EE
Practical experience with Kubernetes and at least one cloud platform (AWS/Azure/GCP)
Hands-on experience with Docker and CI/CD tools (GitLab, Jenkins, GitHub Actions)
Practical experience with LLMs — whether a personal project, proof of concept, or production deployment
Understanding of RAG concepts or the motivation to learn them quickly
German: business fluent (negotiation level)
English: fluent
Nice-to-have: Python skills for ML/AI components
Experience with LangChain, LlamaIndex, LangChain4J
Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)
Familiarity with Model Context Protocol (MCP) or agent frameworks
Experience with prompt engineering or model fine-tuning
GitOps experience with ArgoCD or Flux

Paid certifications – AWS, Azure, GCP, Kubernetes: we cover the costs
Generous learning & development budget for courses and conferences in the AI field
Access to leading AI communities and meetups (speakers welcome)
Freedom to choose tools and hardware – laptop and phone of your choice
Innovation Lab for proofs-of-concept
Modern, well-equipped office with excellent transport connections
Agile teams with short decision-making paths
Freedom to shape your own technical initiatives
Regular internal tech talks on AI trends
Time allocated during work hours for blogs and technical articles
Close collaboration within the team – we learn from each other

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Open Positions (1)