The Team – your impact

The "Technology & Engineering – Data & AI Engineering" chapter brings together experts who deliver cutting-edge data and AI engineering capabilities to our product teams. We focus on enhancing functional skills, improving E.ON's MLOps tech stack, and delivering high-quality data and model automation.

Your Role – meaningful & rewarding

As an AI Engineer (f/m/d), you will play a crucial role in developing and deploying a cutting-edge enterprise and customer engagement platform that leverages Retrieval Augmented Generation (RAG), AI agents and other advanced AI techniques to significantly improve IT efficiency.

Design and Implementation:

• Design and build an intelligent search engine that utilizes RAG to provide accurate and comprehensive search results
• Develop AI agents that can autonomously perform tasks based on user queries and retrieved information
• Define workflows and fine-tune prompts according to use-case specific requirements
• Implement AI-powered solutions to automate IT processes, such as incident resolution, knowledge base management, and documentation retrieval

Data Engineering:

• Design and manage data ingestion pipelines to effectively index and process relevant IT data sources (e.g. documentation, knowledge bases, incident tickets)
• Develop and maintain data pipelines for continuous improvement of search relevance and accuracy

Cloud Expertise:

• Work with multi-cloud environments to deploy and manage the search engine infrastructure

Innovation & Collaboration:

• Collaborate with IT teams, data scientists, and product managers to understand their search needs and identify opportunities for AI-powered solutions
• Conduct research and stay updated with the latest advancements in AI search, LLM applications, and agent technologies
• Continuously evaluate and improve the performance and effectiveness of the search engine

Your Profile – authentic & open-minded

Proven Experience: 3-5 years of experience as a Machine Learning Engineer, Data Scientist, AI Engineer, or a related role with a strong focus on LLM applications, NLP, and MLOps.

Technical Proficiency:

• Strong software engineering skills in Python, with focus on back-end engineering for complex, data-intensive applications
• Experience with LLM libraries (e.g., Hugging Face Transformers) and frameworks like LangChain
• Experience with prompt engineering techniques for LLMs
• Familiarity with vector databases
• Experience with data ingestion pipelines, custom connectors, and data integration techniques
• Familiarity with multi-cloud environments and cloud platforms (Azure, Google Cloud, etc.)

Key Attributes:

• Excellent problem-solving, analytical, and communication skills
• Ability to work independently and collaboratively within a fast-paced, agile environment
• Strong interest in learning new technologies and adapting to evolving industry best practices

Additional Factors:

• Experience with building and deploying search engines or knowledge management systems
• Experience with relevant libraries and frameworks (e.g., Elasticsearch, OpenAI, Hugging Face Transformers)
• Contributions to open-source projects or a strong personal portfolio demonstrating AI/ML skills

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.

Inklusion

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