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# Senior AI Software Engineer (LLM & RAG Systems)

- **Company:** Nash Technologies
- **Location:** Böblingen, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, HTML5, Cascading Style Sheets (CSS), Eclipse (Software), Python (Programming Language), Machine Learning, NumPy, Open Source Technology, Release Management, Responsive Web Design, Software Engineering, Systems Integration, Web Applications, Web Application Frameworks, Extensible Markup Language (XML), Extensible Stylesheet Language Transformations (XSLT), Document Enterprise Platform, Large Language Models, Prompt Engineering, Generative AI, Fastapi, Pandas, Information Technology, Low Latency, Web Technologies, Jenkins
- **Published:** May 13, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=b8663e918d8665ea

## About the Role

Do you have experience in XSLT?, Do you have a Master's degree?, * Master's or Ph.D. in computer science, machine learning, software engineering or related field

 * Minimum 2 years of hands-on industry experience in AI engineering and software development
 * Proven experience in LLM/RAG development and Python frameworks (e.g., SentenceTransformers, Pandas, NumPy)
 * Experience with vector databases (e.g., Chroma), RAG evaluation frameworks, and open-source LLMs (e.g., Qwen, Llama)
 * Clear communication and presentation skills; strong team player
 * Excellent English language skills

Good To Have

 * Full-stack development experience, especially integrating AI models into web applications (e.g., FastAPI, MCP)
 * Skills in Java, Eclipse IDE, and web technologies (JavaScript, HTML5, CSS3, XML, XSLT)

## Description

Nash Technologies is seeking for a Senior AI Software Engineer (LLM & RAG Systems) m/f/x in Boeblingen to support the design, development and optimization of enterprise-grade LLM and RAG solutions.

The candidate will be responsible for the end-to-end implementation and integration of AI systems into our web and documentation platforms. Working closely with cross-functional teams to deliver robust, production-ready solutions., * Design, implement, test and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including data parsing, ingestion, prompt engineering and chunking strategies

 * Evaluate and deploy Large Language Model (LLM) applications, focusing on metrics such as correctness, latency and hallucination
 * Integrate AI components into web applications and documentation platforms using Java, Eclipse IDE and related technologies
 * Write clean, maintainable and testable code following best practices in both Python and Java
 * Build and release product documentation updates using Jenkins CI
 * Provide technical support and development for a responsive web application (online help system) based on Eclipse


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