AI Software Engineer
Role details
Job location
Tech stack
Job 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. # Senior AI Software Engineer m/f/x (LLM & RAG Systems) 1540 ## Your responsibilities: - 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
Requirements
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 ## Your profile: - 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
