Prompt engineering is the discipline of writing, testing, and improving the text inputs given to large language models. It is closer to structured writing and empirical testing than to traditional programming — but for production systems, it is engineering.
Common techniques: role prompting ("You are a senior tax accountant…"), few-shot prompting (showing examples of desired output), chain-of-thought (asking the model to reason step by step), structured output (JSON schema constraints), and prompt chaining (breaking complex tasks into stages).
Production prompt engineering also requires evaluation harnesses — test sets against which prompt changes can be measured objectively. Without eval, you are guessing. Nagro Solutions ships every LLM feature with a prompt-change tracking system and eval suite.