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Senior AI Engineer (Forward Deployed)
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AI Infrastructure
About the Role
The role focuses on hands-on implementation of AI- and data-driven solutions at domain depth. You will translate business processes into robust, scalable systems spanning agentic AI workflows and data engineering on Databricks.
Key Responsibilities:
- Understand and structure business processes, decision logic, and data relationships; challenge assumptions, translate logic into implementable solutions
- Design agentic AI systems (agents, orchestration, tools, context, decision logic)
- Build data-engineering components including data layers, models, and pipelines
- Combine agentic and data-driven approaches into end-to-end solution flows
- Actively implement core logic, ensure maintainability, observability, and production readiness
- Lead technical workshops and collaborate with customers at working level
Required Skills:
- Very senior, hands-on engineer in AI and/or data engineering with a strong AI-first mindset
- Strong judgment on when not to use an LLM
- Structured LLM orchestration (tool calling, schema validation)
- Multi-agent system design (orchestrator + specialized agents)
- Strong Python skills (ideally FastAPI, async IO, Pydantic)
- Production API development (errors, retries, logging)
- Git and CI/CD (Azure DevOps, GitHub, GitLab)
- Enterprise Azure operations (Managed Identity, Key Vault, monitoring)
- Strong experience with Azure and Databricks (Lakehouse)
- Solid fundamentals in Spark and Delta Lake
- English required; German business-level proficiency for Germany-based candidates
Benefits:
- Work with cutting-edge technologies (Azure, OpenAI, Databricks)
- High-performance culture emphasizing execution
- Training and certification opportunities
- Collaborative, innovation-focused environment
Locations: Munich (DE), Lisbon (PT), Cologne (DE)
Salary: EUR 50,000-65,000 gross annual
Valid through: September 29, 2026.
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