YOU HAVE A PASSION FOR TECHNOLOGY AND WANT TO MAKE THE WORLD A GREENER PLACE?

Then become a playmaker and join our team as AI Engineer (f/m/d) at E.ON Digital Technology.
We play a key role in shaping the energy transition by leading E.ON’s digital transformation across Europe. We explore new paths by developing ideas, breaking new ground, making visions reality, and bringing new technologies to life. We deliver sustainable technology solutions because…

… IT’S ON US TO MAKE NEW ENERGY WORK!

The Team – your impact
You will be part of our Data & AI Engineering Chapter that represents all experts who deliver data and AI engineering capabilities to our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s MLOps & GenAIOps tech stack and ensure a high level of data delivery & model automation. The product team where you will work in daily provides Corporate solutions to the entire E.ON group. The digital solutions range from agentic support for auditing processes to a data and AI platform for Health and Safety of E.ON workers.

Your Role – meaningful & rewarding

• Work on multiple AI-driven products, ranging from classical Machine Learning to cutting-edge AI agents
• Develop and operate AI agents to autonomously perform tasks based on user queries and retrieved information
• Scale and operate classical Machine Learning models to derive insights from safety incidents and provide actionable information to workers at risk
• Create intuitive interfaces and dashboards for data visualization, including geospatial data analysis
• Collaborate with business stakeholders, data scientists and IT teams to identify opportunities for AI-powered solutions
• Continuously evaluate and improve the performance of the digital solutions

Your Profile – authentic & open-minded

• Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, or a related field
• Proven experience in Machine Learning, Data Science, AI Engineering, MLOps or related areas
• Proficient in Python and experienced with LLMs and ML frameworks (e.g., LangChain, TensorFlow, PyTorch, Scikit-learn)
• Strong expertise in building, deploying, and operating AI / ML solutions, including prompt engineering for LLMs and vector databases
• Hands-on experience with data ingestion pipelines, custom connectors, and data integration techniques
• Familiarity with Azure cloud environments and agile ways of working
• Contributions to open-source projects or a strong personal AI / ML portfolio is nice to have

Our Benefits – smart & useful

• Enjoy flexibility: You can combine coming to the office and working from home flexibly. It’s even possible to go on workation for up to 20 days per year within Europe.
• Advance your development: We grow and we want you to grow with us. Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.
• Empower each other: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
• Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year’s Eve off. Your battery still needs charging? You can exchange parts of your salary for more paid vacation or you can take a sabbatical.
• Elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket – your way is our way.
• Think ahead: With our company pension scheme and a great insurance package we take care of your future.
• This is by far not all… We are looking forward to speaking with you about further benefits during the hiring process

WHAT YOU NEED TO KNOW:

Job Req ID: 234812
Contract type: Permanent
Working time: Part or Full time
Company: E.ON Digital Technology GmbH
Location: München, Berlin, Essen, Frankfurt am Main, Hamburg, Hannover, Würzburg
Function area: IT/Digital; IT Strategy & Architecture; Product Owner

• Work on multiple AI-driven products, ranging from classical Machine Learning to cutting-edge AI agents
• Develop and operate AI agents to autonomously perform tasks based on user queries and retrieved information
• Scale and operate classical Machine Learning models to derive insights from safety incidents and provide actionable information to workers at risk
• Create intuitive interfaces and dashboards for data visualization, including geospatial data analysis
• Collaborate with business stakeholders, data scientists and IT teams to identify opportunities for AI-powered solutions
• Continuously evaluate and improve the performance of the digital solution