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

Das ist der Job

Curate and develop high-quality datasets, using synthetic data generation for robust training and evaluation.

Darum lohnt es sich

Collaborate with cross-functional teams to integrate AI components into other systems. Hands‑on experience with vector databases (e.g., Milvus) and modern RAG architectures, such as Graph‑based Retrieval‑Augmented Generation.

Job Description Design, implement, test, and continuously optimize end-to-end RAG pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies. 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.

Requirements 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. This role emphasizes long‑term ownership of Retrieval‑Augmented Generation systems as a core product capability, not just experimentation with large language models.

Research & Development (Software Development) This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law.

Information on race, gender and national origin will only be used for statistical and record keeping purposes, and will not be used in making any employment decisions. All information provided will be kept separate from your expression of interest.

Providing this information is strictly voluntary, and you will not be subjected to any adverse action or treatment if you choose not to provide this information. If you do not choose to answer these questions, we ask that you select "Decline to Identify" for each question. Thank you for your voluntary cooperation. #J-18808-Ljbffr