AI Engineer (Agentic AI & LLM Systems) | Jobs

AI Engineer (Agentic AI & LLM Systems) | Jobs at Beroe x nnamu GmbH Skip to main content Back to all jobs AI Engineer (Agentic AI & LLM Systems) Berlin AI Campus, Munich Full-time Permanent employee Apply for this job Your tasks We are looking for an experienced AI Engineer to join our growing AI team at Beroe X nnamu. You’ll play a key role in developing intelligent, agentic AI systems using cutting-edge large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG). This is a hands-on role combining software engineering, ML/NLP expertise, and a passion for building next-gen autonomous agents. You’ll collaborate closely with AI leads, backend engineers, data engineers, and product managers to bring scalable and intelligent systems to life—integrated into real-world procurement and business applications.Key Responsibilities - Design and implement agentic AI pipelines using LangGraph, LangChain, CrewAI, or custom frameworks - Build robust retrieval-augmented generation (RAG) systems with vector databases (e.g., FAISS, Pinecone, OpenSearch) - Fine-tune, evaluate, and deploy LLMs for task-specific applications - Integrate external tools and APIs into multi-agent workflows using dynamic tool/function calling (e.g., OpenAI JSON schema) - Develop memory modules such as short-term context, episodic memory, and long-term vector stores - Build scalable, cloud-native services using Python, Docker, and Terraform - Collaborate in agile, cross-functional teams to rapidly prototype and ship ML-based features - Monitor and evaluate agent performance using tailored metrics (e.g., success rate, hallucination rate) - Ensure secure, reliable, and maintainable deployment of AI systems in production environments Your profile - 6–8 years of professional experience in machine learning, NLP, or software engineering• Strong proficiency in Python and experience with ML libraries like PyTorch, TensorFlow, scikit-learn, and XGBoost - Hands