Prompt Engineer CV example
Show measurable LLM quality, cost, and reliability gains — not prompt trivia.
Sample professional summary
“Prompt engineer who raised answer accuracy 25% and cut token cost 40% with structured prompting and evals.”
Key skills recruiters look for
- LLMs
- Prompt design
- RAG
- Evaluation
- Python
- A/B testing
How to write strong bullet points
- Quantify accuracy, cost, and reliability gains.
- Show evaluation rigor, not anecdotes.
- Tie work to a product outcome.
Prompt Engineer career path & typical salary
How the role typically progresses, with the kind of responsibilities and approximate US base-salary range at each stage.
0–2 yrs
Designs and tests prompts against evals on defined tasks.
2–5 yrs
Owns LLM feature quality: prompting, RAG, evals, cost and latency.
5–8 yrs
Leads LLM quality strategy and evaluation systems; mentors.
8+ yrs
Owns LLM application architecture and standards across teams.
8+ yrs
Leads an applied-AI team's roadmap and delivery.
Salary figures are approximate US market estimates for general guidance only. Actual pay varies widely by location, industry, employer, education and negotiation.
Common Prompt Engineer interview questions
Practice structured answers (situation, action, measurable result) — the same achievements belong on your CV.
- How do you evaluate prompt quality objectively, not by vibes?
- Walk me through cutting token cost without losing quality.
- When do you choose RAG vs. fine-tuning vs. prompt changes?
- How do you defend against prompt injection and jailbreaks?
- How do you stop regressions when you change a prompt?
- Tell me about an LLM feature you measurably improved.
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