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

Das ist der Job

Advantest - We enable tomorrowʻs technology.

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.

Our offer Flexibility Benefits Development Fitness Security 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.

If you have any questions, Alena Nicolai will be happy to answer them at +49 (0) 7031.204.8380 For further information visit: www.advantest-career.de Apply now Would you like to know more about jobs at Advantest and about our unique team spirit? IoT, 5G and Artificial Intelligence. Unthinkable without us.

More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.

Are you seeking answers and opportunities for your future? At our site in Böblingen you will find both as 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.

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. 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. Global Challenge) as well as health days Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations Take your next career step with us!

Apply now, preferably via our online application tool. Our employees offer you their personal insights into our working environment. Would you like to take a closer look how our working environment looks like? Here you can take a short virtual 360° tour of our company - click the link to get to know us better. Böblingen Amerang