AI & Data Engineer

• 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., RWE is committed to creating a diverse and inclusive environment - we value your passion, your willingness to learn and your desire to thrive. So, if you don't display all the skills above but think this is the job for you, need flexible working arrangements or adjustments which aren't outlined already, we would still like to hear from you.

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

• 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.

Advantageous, but not essential

• Experience delivering AI use cases in a large, multi-business organisation.

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters For over 125 years, RWE has been reliably supplying electricity. Our team of around 20,000 people is shaping the energy world of tomorrow. Today, RWE is one of the world's leading renewable energy companies. With our growth strategy we are setting the pace and investing billions of euros every year - above all in the expansion of offshore and onshore wind, solar energy and battery storage. Our diverse portfolio is perfectly complemented by our global energy trading business. With our mix of renewable and flexible generation, as well as a broad pipeline of new-build projects, we are well positioned to meet the growing global demand for electricity, particularly driven by further electrification and artificial intelligence. At the same time, we are contributing to the decarbonisation of the energy system. The reduction of our carbon emissions is in line with the 1.5°C climate goal of the Paris Agreement, and we are phasing out coal responsibly by 2030. By 2040, RWE aims to achieve net-zero, fully embracing our purpose 'Our energy for a sustainable life'. Weitere Einblicke To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Von hier auskannst du unser Headquarter, den RWE Campus in Essen, kennenlernen. Hier könnte dein Arbeitsplatz sein! Unser RWE Campus hat viel zu bieten und schafft den perfekten Rahmen für deine Arbeit. Lass dich inspirieren.