- Professional
- Office in Boeblingen
- Design, implement, test, and continuously optimize end-to-end RAG pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies.
- Curate and develop high-quality datasets, using synthetic data generation for robust training and evaluation.
- Rigorously evaluate LLM applications on various metrics including correctness, latency, and hallucination.
- Assist in the deployment of LLM-based applications, analyze user feedback, and contribute to iterative improvements.
- Write clean, maintainable, and testable code following best practices.
- Collaborate with cross-functional teams to integrate AI components into other systems.
