AI Engineer

About the job

• Exciting and innovative GenAI projects for our clients: from creative workshops to proofs of concept to joint implementation of productive solutions
• Design and implementation of LLM-based applications
• Design and implementation of retrieval-augmented generation systems (RAG)
• Implementation of structured information extraction from unstructured documents
• Design and realisation of agentic systems and AI workflows
• Prompt and context engineering for targeted control of LLM-based solutions
• Careful evaluation of your solutions according to the principle of Evaluation Driven Development (EDD), including observability via AI evaluation and observability platforms
• You also contribute your expertise during the proposal phase and help shape offers professionally
• Optional touchpoints with classic software engineering and MLOps: where it makes sense, you work closely with our software and ML engineers
• Continuous learning and ongoing training in the field of GenAI as well as insights into the various industries of our clients
• Variety and exciting collaboration in internal project teams as well as on site with our clients

• Several years of experience in developing GenAI applications, ideally in productive use for clients or own products
• A completed master’s degree in computer science, data science or a related field
• Proven expertise in implementing and operating retrieval-augmented generation systems (RAG)
• Experience with agentic systems and AI workflows as well as the Model Context Protocol (MCP)
• Careful handling of the evaluation of LLM solutions, familiar with Evaluation Driven Development (EDD) and AI evaluation and observability platforms (AEOPs)
• Familiar with modern vector databases, e.g. Qdrant, as well as embedding and re-ranking models
• Understanding of open-weight large language models, including multimodal models
• Experience with LLM runtimes as well as LLM proxies or gateways
• Confident handling of Python and software engineering best practices
• Strong communication skills and enjoyment of collaboration with team and clients
• Fluent German and English, both spoken and written
• Advantageous: cloud experience in Infrastructure as Code (IaC), ideally Azure, as well as experience with guardrailing of LLM applications