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.

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

Your Qualifications 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.

Our offer Flexible and trust‑based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part‑time models and programs for extended periods of absence.

Attractive salary, share in Advantest’s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing). Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions.

Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days. Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations. #J-18808-Ljbffr