ai engineer for conversational AI

The company is a global energy provider serving more than 10 million homes across 20 countries. Its Berlin technology hub develops production NLP, RAG-based knowledge systems, and agentic voicebot products used by millions of households.

• Build and evolve RAG pipelines covering retrieval, chunking, embeddings, and vector databases;
• Design agentic systems and conversational workflows using graph design in LangGraph;
• Fine-tune models and develop custom classifiers;
• Build evaluation pipelines for metrics, benchmarking, and language model quality assessment;
• Monitor production models, including drift detection and log analysis;
• Perform prompt engineering with business experts and translate requirements into AI solutions;
• Mentor junior engineers and shape technical standards.

• Degree in Computer Science, Data Science, Mathematics, or a comparable field;
• 3+ Years of experience in Data Science, ML, or AI Engineering;
• Strong Python and solid ML/NLP fundamentals, including model training, statistical analysis, and evaluation methods;
• Hands-on experience with PyTorch, TensorFlow, HuggingFace, LangChain, and LangGraph;
• Experience with RAG architectures, vector databases, and orchestration frameworks;
• Cloud experience, ideally Azure;
• Fluent German at C1 level or higher;
• Very good English;
• Nice to have: Voicebot or conversational AI experience.

• 30 Days of holiday per year;
• Flexible working hours;
• Ongoing training and learning opportunities;
• Agile working environment within a globally established business.