LLM /RAG & machine learning engineer

Do you want to work in a young tech team and are you passionate about AI, LLMs and RAG for industrial applications? Then join our Machine Learning Expert Team and help us make specialist knowledge accessible through chatbots! We develop AI-based solutions for operating personnel, training and instruction that support sustainable skills development.

• You develop AI systems consisting of LLMs, RAG, databases, parsers, digital avatars and custom Python functions.
• You systematically analyze retrieval quality and usability and independently optimize them.
• You use generative AI for vibe coding to implement high-quality software quickly.
• You develop pipelines and models in Python and ensure quality through a rigorous testing concept.
• You help optimize the pipeline architecture.
• You take part in short team meetings and work closely with various departments.

• You are studying computer science, data science, geoinformatics or a related subject.
• You have experience with Python, Cursor or VS Code, and Git.
• You are interested in LLMs, RAG and digital avatars.
• You work in a structured, independent and solution-oriented way.
• You ideally have initial GitHub projects, commits or your own repositories.
• You are keen to take on responsibility and try out new technologies.
• You have very good German and English skills.
• Будет плюсом: You ideally have initial GitHub projects, commits or your own repositories

• Work on a genuine future-focused project with a strong emphasis on sustainability and social impact.
• Valuable portfolio projects for your future career.
• Learning by doing: the opportunity to explore and test things independently.
• Room to experiment: contribute your own ideas, test models and try out innovative approaches.
• An open, dynamic working environment with flat hierarchies.
• Work as part of a young, committed and mutually supportive tech team.
• Flexible working hours for an optimal balance between studies, work and personal life.
• 100% remote work.
• As a young start-up, this internship is unpaid; in return, you will gain extensive practical experience and the opportunity to work independently.
• Contract duration: 3 months.