The Team – your impact
As a AI Engineer (f/m/d), you will be responsible for designing, developing, and optimizing AI solutions that enhance decision-making, improve operational efficiency, and enable smarter energy solutions. You will work closely with cross-functional teams, providing technical leadership and ensuring best practices in AI implementation.
It’s on us to make new energy work!
Your Role– meaningful & rewarding
- Drive the development of agentic AI solutions powered by RAG delivered through enterprise platforms (e.g., Copilot Studio, Langdock, Databricks) or custom-built backends using Python or TypeScript
- Design and implement multi-step agentic workflows, using orchestration frameworks (e.g., LangGraph, LangChain) for custom solutions, with awareness of emerging standards like Model Context Protocol (MCP)
- Apply agentic design best practices — including guardrails, output evaluation, human-in-the-loop validation, structured tool use, and graceful fallback handling
- Design and implement AI-powered solutions leveraging Azure AI Service (OpenAI Service, AI Foundry, AI Search, Document Intelligence), with working knowledge of comparable services on AWS and GCP
- Design robust data models and application backends, ensuring efficient data handling (e.g. using Python and Pydantic)
- Lead full-cycle development of AI applications from solution architecture and data ingestion through deployment, monitoring, and continuous improvement
- Automate and streamline infrastructure and deployment tasks using Infrastructure-as-Code tooling (e.g., OpenTofu, Terraform), with CI/CD pipelines on GitLab
- Provide strategic direction for API development, ensuring best practices in RESTful API design and async programming
- Prototype and demo AI solutions to clients and stakeholders using lightweight frontend tools (e.g., Streamlit, React) or low-code interfaces
- Assess IT/digital needs, challenges or systems, deliver strategic technology guidance, and lead clients through effective digital transformation initiatives
Your Profile – authentic & open-minded
- A degree in Computer Science, Data Science, AI, or a related technical field, or equivalent work experience
- Several years of professional experience in AI development, solution architecture, particularly on Azure, with working knowledge of comparable services on AWS and GCP
- Strong expertise in Python and TypeScript and respective frameworks for RESTful API development
- Deep knowledge of Azure's AI platform (OpenAI Service, AI Foundry, AI Search, Document Intelligence) as well as DevOps practices for cloud-based infrastructure maintenance and CI/CD pipelines (e.g., GitLab)
- Expertise in LLM-based applications, including prompt engineering, embeddings, RAG architectures, and vector search using frameworks such as Hugging Face and Langflow
- Understanding of AI Governance, Responsible AI practices, and security considerations such as prompt injection prevention
- Trusted advisor mindset, committed to building strong client relationships, adapting to change, and consistently delivering value in dynamic IT/digital environments
- Excellent communication, fluent in English, and leadership skills, with the ability to drive technical projects
Our Benefits – smart & useful
Enjoy flexibility:
- A stable work environment that offers you the flexibility to have a personal and fulfilling work rhythm.
- Flexible benefits package – choose what suits you best, from gym memberships to holidays, meals, or shopping vouchers.
Recharge your battery:
- 25 vacation days to help you maintain a healthy work-life balance.
- Private medical insurance to support your well-being.
Advance your development:
- Access to internal learning programs and online learning platforms to grow your skills and career.
This is by far not all… We are looking forward to speaking with you about further benefits during the hiring process.