Senior AI Software Engineer (LLM & RAG Systems)
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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., * 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
Requirements
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)
Benefits & conditions
Pulled from the full job description
- Flexible schedule, * A permanent position in an exciting and growing team
- Hybrid work model
- Flat hierarchies and flexible working hours
- Professional training and excellent development opportunities
- Attractive salary, a subsidy for the DeutschlandTicket, bike leasing and EGYM Wellpass membership
- Regular team and company events
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