<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>I'm partnered exclusively with a global energy company (6,000+ employees, 20 countries, 10+ million homes served) building out its AI engineering capability from its Berlin tech hub. The team ships production NLP and conversational AI at real scale: RAG-based knowledge systems and agentic voicebot products used by millions of households.</p><p><br/></p><p><strong>What you'll do</strong>:</p><ul><li>Build and evolve RAG pipelines: retrieval, chunking, embeddings, vector databases</li><li>Design agentic systems and conversational workflows (graph design in LangGraph)</li><li>Fine-tune models and develop custom classifiers</li><li>Build evaluation pipelines: metrics, benchmarking, quality assessment of language models</li><li>Monitor production models including drift detection and log analysis</li><li>Prompt engineering alongside business experts, translating requirements into AI solutions</li><li>Mentor junior engineers and shape technical standards</li></ul><p><br/></p><p><strong>Your experience</strong>:</p><ul><li>Degree in Computer Science, Data Science, Mathematics or comparable</li><li>3+ years in Data Science, ML or AI Engineering</li><li>Strong Python and solid ML/NLP fundamentals: model training, statistical analysis, evaluation methods</li><li>Hands-on with the modern LLM ecosystem: PyTorch, TensorFlow, HuggingFace, LangChain, LangGraph</li><li>RAG architectures, vector databases, orchestration frameworks</li><li>Cloud experience, ideally Azure</li><li>Voicebot or conversational AI experience is a plus</li><li>Fluent German (C1 minimum) and very good English</li></ul><p><br/></p><p><strong>Details</strong></p><ul><li>€85,000 - €110,000</li><li>30 days holiday per year</li><li>Hybrid working with up to 50% remote</li><li>Flexible working hours</li><li>Strong learning and development culture with ongoing training opportunities</li><li>Agile working environment within a globally established business</li></ul><p><br/></p><p>Interested? Reach out directly to Norman Cistovas at Xcede or apply below.</p><p><br/></p> </div>