Prompt Engineer resume, with every choice explained.

A Prompt Engineer resume needs five things a recruiter can find in one scan: a summary that names the target role and level; Prompt Engineering, LLM Fine-tuning, Python, LangChain and the other tools the job description asks for; experience bullets that lead with an outcome rather than a duty; education and certifications written exactly as the issuing body writes them; and a layout a parser can read in order. In this senior example the summary states the specialism in the first line, and each role's bullets pair a named tool with a measured result — 40% cost reduction; 35% fewer hallucinations.

For Prompt Engineer roles the terms that carry the most weight are Prompt Engineer, LLM, GPT-4, Claude, AI, Machine Learning, NLP, LangChain. Match the wording of the job description you are applying to, because applicant tracking systems match strings rather than meanings, and place each term inside a bullet that shows the work rather than only in a skills list. Add a term only when you can answer a follow-up question about it in an interview.

Demonstrates expertise in cutting-edge AI field with measurable impact. Specifically: Quantifies prompt optimization impact (40% cost reduction, 35% fewer hallucinations); Shows thought leadership through training and documentation; Combines technical skills with strong communication abilities. This is an illustrative composition written to demonstrate structure for a senior AI/ML role — the name, employer, dates and figures are teaching examples, not a real person's record, and every one of them should be replaced with your own verifiable evidence before you send it.