Definition: Prompt engineering is the practice of designing, testing and versioning the instructions, examples and context given to a language model so that it produces accurate, consistent and useful outputs.
A production prompt usually defines the role and task, the rules the model must follow, the output format, a few worked examples, and the data it should rely on. Engineers then run the prompt against an evaluation set, compare variants and keep the version that performs best, much like any other code change.
Minor wording changes can shift accuracy, tone and format. Treating prompts as tested, version-controlled artifacts makes behavior predictable and lets a team swap models without starting over. It is often the cheapest improvement to try before fine-tuning.
Prompt work now overlaps with context design: choosing what to retrieve, how to structure tool descriptions for function calling, and how to fit everything in the context window.
Ryz prompt engineers and LLM engineers build and test prompts against real evaluation data, working on your team.
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