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, maintainable, and testable code following software engineering best practices Collaborate with cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization tools Contribute to MLOps workflows for model training, evaluation, and deployment using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure) Integrate AI components with existing systems, requiring experience in Java, C++ and familiarity with Eclipse Work in Linux environments and handle command-line tools, scripting, and system operations