Software Developer, Agentic AI (RAG, Prompting, Knowledge Graphs) | Informatiker (m/w/d)

Job Summary

This role involves contributing to the development of cutting-edge automation systems by focusing on Agentic AI technologies. The core responsibilities include applying Prompt Engineering to define agent behavior within MCP-based agent systems, optimizing Retrieval-Augmented Generation (RAG) architectures, and developing or fine-tuning small, domain-specific Large Language Models (LLMs). The successful candidate will also be responsible for architecture and module design for MCP communication structures, extending agent systems using A2A protocols, and integrating Knowledge Graphs with RAG pipelines. Key qualifications require a degree in Computer Science, Electrical Engineering, Physics, or a related field, coupled with practical experience in Python development, AI frameworks, LLM optimization, and RAG engineering. This position offers exciting challenges within an international high-tech company, providing significant freedom for innovative ideas, a flat hierarchy, attractive compensation, and modern working models, including flexible hours and mobile working options after initial training.