AI Engineer (LLM/RAG) (m/w/d)

For a young company in the fast-growing AI implementation market we are looking for an experienced AI Engineer, starting immediately. The company operates LLM-based systems in production: content generation pipelines, retrieval-augmented generation (RAG) over internal documents, and automated workflows deeply integrated with their business systems. The stack is TypeScript and Next.js end to end. These systems are already live. As AI Engineer you take ownership of them, improve their reliability and quality, and extend them to new use cases. The role combines applied LLM engineering with solid backend engineering in TypeScript. It does not involve training or fine-tuning foundation models. Stack: TypeScript, Next.js, Node.js, Postgres with pgvector, Docker, Azure, Anthropic and OpenAI APIs, Vercel AI SDK. Tasks Take over and maintain the existing LLM pipelines: assess the current architecture, identify failure modes, prioritise fixes, and refactor and extend without disrupting production Own the RAG systems end to end: document ingestion and parsing, chunking, indexing, hybrid retrieval (BM25 and vector), query rewriting, reranking, grounded generation with citations Implement and…