AI Engineer (m/f/d)

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

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