NLP Engineers build production systems that understand and generate human language — search relevance, classification, summarisation, retrieval-augmented generation, and the language layer of agentic systems. In 2024-2026 the role split from pure ML toward more LLM-first work (prompting, embeddings, RAG) while retaining classical NLP depth (tokenisation, sequence labelling, evaluation).