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AI Engineer - Retrieval-Augmented Generation & Agentic AI - Advantest Europe GmbH
AI Engineer
Lead the design and deployment of Retrieval-Augmented Generation and Agentic AI solutions, leveraging Python, NLP, and LLMs to build intelligent agents that autonomously retrieve, reason, and act on data for advanced semiconductor testing and IoT applications.
About the role
Key Responsibilities
- Design, develop, and maintain RAG pipelines that integrate large language models with external knowledge bases for real‑time decision making.
- Build and optimize agentic AI systems that autonomously retrieve information, reason, and execute actions across distributed test environments.
- Collaborate with data scientists and software engineers to fine‑tune LLMs, implement retrieval mechanisms, and ensure low‑latency inference.
- Implement robust monitoring, logging, and performance tuning for AI services in cloud and on‑premise infrastructures.
- Document architecture, best practices, and provide technical guidance to cross‑functional teams.
Requirements
- Strong programming skills in Python with experience in ML frameworks (PyTorch, TensorFlow).
- Hands‑on experience with LLMs (e.g., GPT, Llama) and retrieval‑augmented generation techniques.
- Solid understanding of NLP concepts, knowledge graph integration, and agentic AI frameworks.
- Experience deploying AI models to cloud platforms (AWS, Azure, GCP) and managing inference pipelines.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Skills
pythonmachine learningnatural language processing