Data & AI · Skill guide

How to put Generative AI on your resume

Generative AI is the fastest-growing skill cluster in job postings — JDs screen for applied vocabulary (RAG, embeddings, prompt engineering, evals) and production evidence, sharply discounting prompt-hobbyist framing.

Live postings usually name this as LLM — 15% of 2,367 engineering JDs in our 15 August 2026 snapshot . Densest in Machine Learning Engineer (60%), Security Engineer (23%), and DevOps Engineer (18%) .

Check my keyword coverage free Against any job description

Keywords that ride along with Generative AI

Job descriptions rarely ask for Generative AI alone — these co-terms appear in the same postings and are screened together. Cover the ones you've genuinely used.

Public ATS boards (Arbeitnow, Greenhouse, Ashby, Google Careers, Lever, RemoteOK, Remotive). Not LinkedIn or Indeed. Percentages are share of postings that already mention Generative AI.

Example bullets that prove the skill

A skill in a list is a claim; a skill in a bullet with an outcome is evidence. Patterns to adapt with your real numbers:

“Built a RAG pipeline (embeddings, hybrid retrieval, reranking) over 40k internal documents, reaching 89% answer accuracy on a curated eval set”
“Designed guardrails and an eval harness for a customer-facing LLM feature, cutting hallucination-flagged responses from 7% to under 1%”

Generative AI resume FAQs

How do I list Generative AI on my resume?

Put "Generative AI" in your skills section in its exact form, then prove it in at least one experience bullet with context and an outcome — a skill that appears only in a list reads as padding to recruiters. Generative AI is the fastest-growing skill cluster in job postings — JDs screen for applied vocabulary (RAG, embeddings, prompt engineering, evals) and production evidence, sharply discounting prompt-hobbyist framing.

Which keywords should appear alongside Generative AI?

Job descriptions that ask for Generative AI typically also screen for: Machine Learning, Python, AWS, SQL, TypeScript. Include the ones you've genuinely used — co-keyword coverage is how ATS ranking separates real practitioners from list-padders.

Should I list Generative AI if I've only used it a little?

List it only if you could answer interview questions about it comfortably. A safer honest framing for light experience is grouping it under a "familiar with" tier, separate from your core skills — inflated skill claims surface fast in technical interviews.

Does your resume actually show Generative AI?

Paste a job description that requires it — RoleTuner shows whether your resume surfaces Generative AI and its co-keywords the way an ATS reads them, free.