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Skill · AI Hiring Index · as of 2026-10-05

Prompting in AI job postings

7% of technical postings at the AI companies we track mention Prompting (344 postings). AI / ML Engineer postings ask for it most: 26%.

Technical postings that mention it
7%
344 postings

Which roles ask for it

Share of each technical role family's open postings that mention Prompting.

Role familyShare, as a barShare
AI / ML Engineer26%
FDE / Applied16%
Research Engineer11%
Safety / Policy8%
Evals / Data7%
Software Eng4%
Research Scientist4%
Security2%
Infra / Hardware1%
Inference / Perf0%

Companies asking for it most

CompanyPostingsOf its technical postings
Sierra5372%
OpenAI449%
Anthropic4112%
Decagon2127%
Cresta1432%
Databricks132%
Cursor1218%
Harvey1111%
LangChain1122%
Scale AI1010%

Open postings that mention Prompting

How to learn it

  • Prompting best practices — Anthropic free

    The model maker's reference, rewritten with each release so it fits the models you will call: instructions, examples, structure, output format, tools. Start with the techniques for all models.

Project: Improve one prompt with a test set, not by feel — Fifty cases with expected outputs, a baseline score, then each prompt change measured as a diff — keep the ones that move the number.
A posting counts when its description mentions the skill in what the role does or asks for — the company's description of itself is left out. Shares are over technical postings only; the tags are checked against the postings every month and a skill below90% precision is not shown. How we count.