Internship / thesis in Large Language Models (LLMs) and RAG

Internship or thesis in research and development at CLAAS Selbstfahrende Erntemaschinen GmbH in Harsewinkel. You develop prototype LLM applications and AI tools for agricultural processes and engineering work. Alternatively, the CLAAS INSIDE programme offers work alongside your studies.

• Learn to use large language models with agent systems, MCP interfaces, retrieval-augmented generation and related technologies
• Develop and implement prototype applications that use LLMs to support agricultural processes
• Help develop AI tools that make engineers' daily work easier, speed up development cycles and further improve the quality of our machines and software
• Analyse and process large amounts of unstructured data and integrate them into knowledge databases
• Validate and improve models for agricultural technology and harvesting machines
• Work with teams from different research and development disciplines
• Document results and present your work to the team

• Currently studying Computer Science, Data Science, Artificial Intelligence or a comparable subject
• Strong Python skills and ideally experience with ML frameworks such as PyTorch, Ollama or Transformers, as well as LangChain, LangGraph and optionally Neo4j
• Interest and initial experience in large language models such as GPT, BERT and Llama, and modern natural language processing technologies
• Experience or interest in information retrieval techniques and knowledge management, including RAG and vector databases
• Analytical thinking, creativity, teamwork, commitment and strong communication skills
• Interest in agricultural applications and technical innovations
• Please state your possible placement dates in your cover letter
• Cover letter
• CV
• Relevant employment references
• Current academic transcript