LLMOps is the operational layer around large language model systems: serving and routing, prompt and version management, evaluation harnesses, guardrails and — unusually for an engineering role — direct accountability for per-request cost. It is a young title with fewer Indian openings than MLOps, and in many organisations the responsibilities sit inside an AI engineer's job rather than a separate role. Where it does exist as a distinct position, it pays well because very few people have run LLM systems at scale.