8 Core LLM Development Skills Every Enterprise AI Team Must Master

When organizations talk about adopting large language models, the conversation usually starts with model choice. GPT versus Claude. Open source versus proprietary. Bigger versus cheaper. In real enterprise systems, that focus is misplaced. Production success with LLMs depends far more on architecture discipline than on the model itself. What separates a fragile demo from a resilient, governable system is mastery of a small set of core engineering skills. These skills shape how models are instructed, grounded, deployed, observed, and evolved over time.