How to read this prompt engineer resume example
The sample above is not a template to copy word for word - copied resumes read as copied. It is here to show the shape of a page that gets past a first screen: one column, standard headings, and bullets that end in an outcome rather than a duty. An eval set you built, and the quality number that moved because of it.
- Every bullet opens with a verb and carries a number. That is the pattern, not a coincidence.
- The summary makes a claim and then supports it in the first bullet underneath.
- Skills are named tools, not adjectives, and each one appears again in the experience section.
- The earlier role is short. Recent work carries the weight of the page.
The numbers in a prompt engineer resume
The most common thing missing from a prompt engineer resume is a number. Not because the work had none, but because nobody wrote them down at the time. These are the measures a prompt engineer can usually reach for, and the example uses them.
- Raised task accuracy from 68% to 91% on a 600-case eval set through prompt restructuring and retrieval.
- Cut cost per request 60% by moving deterministic steps out of the model and into code.
- Designed the guardrail and fallback layer that took unsafe-output incidents to zero over six months.
Before and after: rewriting a weak bullet
Most prompt engineer resumes are one edit away from being much stronger, and the edit is the same every time: replace the description of the job with the result of doing it. The pairs below are the same work, written twice.
- Weak: "Responsible for llm evaluation and related tasks." Strong: "Raised task accuracy from 68% to 91% on a 600-case eval set through prompt restructuring and retrieval."
- Weak: "Worked on prompt design projects across the team." Strong: "Cut cost per request 60% by moving deterministic steps out of the model and into code."
- Weak: "Helped improve processes and supported prompt engineer initiatives." Strong: "Designed the guardrail and fallback layer that took unsafe-output incidents to zero over six months."
Adapting the example to your own history
Work backwards from the posting. Find the two or three things it actually screens for, then make sure the top third of your page answers them. Everything below that is supporting evidence.
- Reorder your bullets so the one closest to the posting comes first in each role.
- Rewrite the summary for the specific job. It is the only part a human reliably reads.
- Cut any skill you would not want to be asked about for ten minutes.
- Keep LLM evaluation, Prompt design, Retrieval visible in context, not stranded in a list.