Das ist der Job
Reach out directly to Norman Cistovas at Xcede or apply below. #J-18808-Ljbffr
Darum lohnt es sich
The team ships production NLP and conversational AI at real scale: RAG-based knowledge systems and agentic voicebot products used by millions of households.
What you’ll do Build and evolve RAG pipelines: retrieval, chunking, embeddings, vector databases Design agentic systems and conversational workflows (graph design in LangGraph) Fine-tune models and develop custom classifiers Build evaluation pipelines: metrics, benchmarking, quality assessment of language models Monitor production models including drift detection and log analysis Prompt engineering alongside business experts, translating requirements into AI solutions Mentor junior engineers and shape technical standards Your experience Degree in Computer Science, Data Science, Mathematics or comparable 3+ years in Data Science, ML or AI Engineering Strong Python and solid ML/NLP fundamentals: model training, statistical analysis, evaluation methods Hands‑on with the modern LLM ecosystem: PyTorch, TensorFlow, HuggingFace, LangChain, LangGraph Cloud experience, ideally Azure Voicebot or conversational AI experience is a plus Fluent German (C1 minimum) and very good English Details 30 days holiday per year Hybrid working with up to 50% remote Strong learning and development culture with ongoing training opportunities Agile working environment within a globally established business Interested?
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.
