Prompt Engineering
Designing prompts that steer a language model's output.
- 12.5%
- of core AI postings mention it
- 441
- postings
- 323
- companies
History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.
Where it is mentioned most
Each row divides by that role's postings in this edition, highest share first.
Postings in 10 role families mention Prompt Engineering in this edition.
In 1 of the 8 role families with a page of their own, at least one posting in five mentions Prompt Engineering: LLM / NLP Engineer 36.6%.
Prompt Engineering is more concentrated in LLM / NLP Engineer postings (36.6%) than across all core AI postings (12.5%): at least twice the overall share.
Prompt Engineering is in LLM applications: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.
How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.
- LLM / NLP Engineer36.6%64 of 175 postings · at least twice overall
- AI Engineer16.7%290 of 1,741 postings
- MLOps / Platform Engineer15.8%6 of 38 postings · Sample below the page threshold; not read
- AI Researcher10.0%6 of 60 postings · Sample below the page threshold; not read
- 25 of 305 postings
- Data Scientist5.3%8 of 151 postings
- 3 of 225 postings
- 4 of 321 postings
- 1 of 113 postings
- 1 of 123 postings
Skills that appear with it
Each share divides by the postings that mention Prompt Engineering: how many of them also mention each skill, grouped into three lenses.
Foundations and problem-solving
Categories: Languages, Machine learning, Data engineering, Databases, Methods and process
- Python76.9%Languages · 339 postings
- System Architecture50.6%Methods and process · 223 postings
- Vector Database33.8%Databases · 149 postings
- REST API32.9%Methods and process · 145 postings
Production and delivery
Categories: DevOps, Cloud, Tools
Framework, LLM and domain signals
Categories: Frameworks, LLM applications, Domain knowledge, Office software
Industries and places
Share of this skill's postings.
- Software & Internet19945.1%
- Electronics & Hardware4610.4%
- Semiconductor347.7%
- Telecom, Media & Digital Content296.6%
- Finance & Insurance296.6%
- Manufacturing255.7%
- Wholesale, Retail & E-commerce225.0%
- Healthcare & Biotech194.3%
- Consulting & Marketing Services112.5%
- Professional Services92.0%
- Hospitality & Consumer Services81.8%
- Construction & Real Estate51.1%
- Taipei23553.3%
- New Taipei6915.7%
- Taichung347.7%
- Kaohsiung255.7%
- Hsinchu County173.9%
- Hsinchu City173.9%
- Taoyuan132.9%
- Miaoli81.8%
- Changhua51.1%
- Tainan40.9%
- Hualien30.7%
- Nantou30.7%
Where this number is read from
Of the 441 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.
- Employer's skill tags183
- Job title3
- Job description322