R&D Engineer - AI Integration (m/f/d)

Role Overview: As an R&D Engineer, you will work on cutting-edge AI and machine learning solutions, with a focus on Large Language Models (LLMs), to enhance semiconductor testing and electrotechnical systems. You will design, implement, and optimize end-to-end AI pipelines, integrating LLM-driven tools into testing workflows and contributing to the development of advanced semiconductor test automation. Key Responsibilities: Design, implement, test, and continuously optimize end-to-end RAG (retrieval-augmented generation) pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies Integrate AI components with existing systems, requiring experience in Java and familiarity with Eclipse Curate and develop high-quality datasets, including synthetic data generation for robust training and evaluation of LLMs Preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate RAG systems into semiconductor testing pipelines Rigorously evaluate LLM applications on correctness, latency, and hallucination metrics Assist in deploying LLM-based applications, analyze user feedback, and contribute to iterative improvements Write clean,

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