Prompt engineers are employed to train the large language models (LLM) of generative AI to deliver more accurate and relevant responses to questions people are likely to ask.

They can be utilised to generate code suggestions and identify coding errors and bugs. They can used for improving code performance. Prompt engineers design and develop prompts for ChatGPT. They use methods such as prefix tuning or prompt tuning. It works for pretrained LLM models. Prompt engineers use Chain-of-Thought (CoT) prompting to improve the reasoning ability of LLM Models, especially when the problem is complex and multi-step. Here the prompt is broken into a series of intermediate steps.

Prompt engineers must have creativity and must show language precision. He need not be a hardcore computer engineer. He can be drawn from humantities stream. Prompt engineer must be able to imitate human thought. Of course, an understanding of programming and AI and ML and NLP often helps. Tech skills must be combined with the understanding of user needs. A prompt engineer must have better linguistic skills.

There are short-term courses available for learning prompt engineering. Practice makes a prompt engineer perfect.

A prompt engineer cannot afford to be too literal or too fuzzy. He should combine reality and imagination. Essentially, it is an exercise of precision thinking. You should be at generative AI terminal for hours and figure out what prompt generates what response.