AI Engineer - RAG and Agentic AI (m/f/d)

AI Engineer - RAG and Agentic AI (m/f/d)

Böblingen

Kennziffer: 8184

Aufgabe

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 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.

Qualifikation

Master's or Ph.D. in Computer Science, Machine Learning, or a related field and a minimum of 2 years of hands-on industry experience in software engineering. Experience operating RAG systems in production environments, including monitoring, debugging, and continuous improvement based on real user behavior. Solid understanding of software engineering practices applied to AI systems (testing, CI/CD integration, versioning, and reproducibility). Ability to balance research innovation with long-term maintainability and customer-ready quality standards. Clear communication and presentation skills. Good To Have: Experience with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) applied to AI or backend services. Familiarity with enterprise deployment constraints such as air-gapped systems, license compliance, and distribution of AI-enabled software to customers. Exposure to agent frameworks, tool-calling patterns, or multi-step reasoning architectures. Hands-on experience with vector databases (e.g., Milvus) and modern RAG architectures, such as Graph-based Retrieval-Augmented Generation. This role emphasizes long-term ownership of Retrieval-Augmented Generation systems as a core product capability, not just experimentation with large language models.

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