Prompt engineering as a job title peaked in mid-2023 and has matured since - the surviving roles want someone who runs experiments rigorously, not someone who 'is good at ChatGPT'. Your resume must demonstrate measurement discipline: you wrote the eval before the prompt, you A/B tested versions, you documented regressions, you cut tokens without losing accuracy.
The strongest prompt engineer resumes show the full loop - golden-set construction, LLM-as-judge with human spot-check, prompt versioning (in code, not in a Notion doc), and rollout via feature flag. Reference the techniques that actually work in production: chain-of-thought, few-shot with retrieved examples, structured outputs / JSON mode, function calling, constitutional self-critique, and decomposition into smaller sub-prompts. Familiarity with Anthropic's prompt-engineering best practices and OpenAI's structured-outputs API is now expected for senior roles.
ATS keywords: prompt engineering, LLM, GPT-4, Claude, evaluation, RAG, few-shot, chain-of-thought, structured outputs, A/B testing, Python, AI safety.
This example works for
Prompt Engineer
AI Prompt Engineer
Conversation Designer
AI Content Engineer
LLM Specialist
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