DevOps & GenAI Engineer (f/m/div.)
Tasks
- Build and maintain RAG pipelines
- Collaborate to evaluate performance usability and business value
- Design and implement Generative AI agents for engineering workflows
- Develop LLM-based AI solutions
- Document architectures APIs and integration concepts
- Ensure reliability traceability security and responsible AI usage
- Implement trustworthy and compliant AI solutions with security and compliance teams
- Improve AI platforms and DevOps practices
- Integrate AI agents with engineering tools and databases
Perks/Benefits
- Canteen
- Career progression
- Flexible work conditions
- Free parking
- Health insurance
- Hybrid work
- Training opportunities
Skills/Tech-stack
AI Observability | API | CI/CD | Cloud Native | CrewAI | DevOps | Embeddings | JSON | Langchain | Language Models | Large Language Models | Llamaindex | MCP | MLOps | Microservices | Model Deployment | OpenAI Agents | PDF | Platform Engineering | Python | RAG | Retrieval-Augmented Generation | Swarm | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | DevOps | DevOps Engineer | Engineer | Generative AI Engineer
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