AI & Data Engineer d/f/m

RWE AG

About the role

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.
• Optimize 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.

Job requirements and experience

• 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 decentralized 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) experience, infrastructure‑as‑code, monitoring, and observability.

Advantageous, but not essential

• Experience delivering AI use cases in a large, multi‑business organization.

Benefits

• 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 more.
• Structured and digitized pre‑ and onboarding process supported by the web‑based app RWE+You.

We value diversity and therefore welcome all applications – regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. RWE is committed to creating a diverse and inclusive environment and values your passion, willingness to learn, and desire to thrive.