AI & Data Engineer d/f/m
Tasks
- Add tracing and observability
- Build and operate data pipelines
- Build data products and integrations on lakehouse
- Create reusable agent templates and components
- Develop multi-agent workflows
- Implement RAG and MCP integrations
- Implement agent evaluation and guardrails
- Optimize model routing caching and right sizing
- Set up CI CD for agent delivery
Perks/Benefits
- E-charging stations
- Flexible working time models
- Free Access to Health Center
- Free parking
- Hybrid working
- Modern open workspaces
- Structured onboarding process
Skills/Tech-stack
AWS | Agent evaluation | AgentOps | Apache Spark | Azure | CI/CD | Caching | Copilot Studio | Data Lakehouse | DataOps | Databricks | Guardrails | Infrastructure as Code | LLMOps | Langchain | Langgraph | Llamaindex | MCP | MLOps | Memory design | Microsoft Fabric | Model routing | Monitoring | Observability | Prompt engineering | Python | RAG | Right-sizing | SQL | Tool design | Tracing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
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