As a Working Student AI Engineering / LLM Prototyping, you will help OKAPI:Orbits explore how modern AI can improve their products and internal processes. You will work with LLMs, RAG pipelines, and other tools to build functional MVPs and prototypes.
Requirements
- Build functional MVPs for AI based features or tools
- Develop RAG pipelines and test different chunking, indexing and retrieval approaches
- Work with vector databases, embeddings and metadata filtering
- Design and test AI agents using LangChain, LangGraph or API based frameworks
- Evaluate different LLMs for quality, speed and cost depending on the use case
- Integrate prototypes with internal APIs, tools or datasets
- Present your results, document what worked and what did not, and propose next steps
Benefits
- Flexible working model
- Learning culture
- Exciting domain
- Supportive team culture
- Training budget for continuous development
- Corporate benefits
- Free office drinks
- Monthly company lunch
- Regular after-work activities