AI & Data Engineer D

As a hands-on AI & Data Engineer you turn architecture and standards into working data products, agents and integrations, from prototype to production. You Build the agents, pipelines and integrations that put AI into production.

• Build and operate data pipelines, data products and integrations on the lakehouse.
• Build agents and multi-agent workflows using Copilot Studio, Databricks and open frameworks (LangChain / LangGraph, LlamaIndex), including tools, memory, RAG and MCP integrations, from prototype to production.
• Implement agent evaluation and observability in delivery: evaluations, guardrails, tracing and CI/CD.
• Optimise performance and efficiency through model routing, caching and right-sizing, and surface usage / cost signals to the platform and infrastructure teams who own cost management.
• Create reusable components, agent templates and reference implementations others can adopt directly.

• University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or related field.
• Hands-on working experience in MLOPS principles and any agent framework in a regulated decentral environment.
• Strong data engineering skills (Python / SQL, Spark) and DataOps, with Databricks and Fabric.
• Ability in Hands-on agent building with Copilot Studio, Databricks and open frameworks (LangChain / LangGraph, LlamaIndex), plus MCP, tool and memory design and prompt engineering.
• Experience with LLMOps/AgentOps: agent and model evaluation, guardrails, tracing and CI/CD.
• Cloud (Azure/AWS), infrastructure as code, monitoring and observability.

• Independent work on exciting and responsible tasks.
• Close collaboration in a motivated team with an open feedback culture that promotes your personal and professional development.
• Insights into a global energy company.
• Hybrid working and flexible working time models.
• Free access to the Health Center, modern open workspaces, free parking, e-charging stations and much more.
• Structured and digitized pre- and onboarding process supported by the web-based app RWE+You.