AI Engineering Job Market: Skills, Trends, and Employers
Skills, trends, employers, and locations from 6,964 real AI engineering job postings, aggregated from 8 monthly scrapes of builtin.com. Data through August 2026.
The AI engineering job market, measured. Here are 6,964 AI engineering job postings from builtin.com, aggregated for the AI Engineering Field Guide. The postings come from 8 monthly scrapes (Feb 4, 2026 to Aug 25, 2026). We break them into skill demand, monthly trends, top employers, and job locations.
The skills employers ask for
Each category lists the skills that appear most often in the latest scrape of Aug 25, 2026 (1,222 postings). A skill's share is the percentage of postings that mention it. A skill is counted once per posting, and only when the description spells it out, so shares are a floor, not a ceiling.
GenAI
Share of the latest scrape's postings that mention each skill.
Languages
Share of the latest scrape's postings that mention each skill.
Cloud
Share of the latest scrape's postings that mention each skill.
ML
Share of the latest scrape's postings that mention each skill.
Databases
Share of the latest scrape's postings that mention each skill.
Ops
Share of the latest scrape's postings that mention each skill.
Data
Share of the latest scrape's postings that mention each skill.
Web
Share of the latest scrape's postings that mention each skill.
Domains
Share of the latest scrape's postings that mention each skill.
Other
Share of the latest scrape's postings that mention each skill.
Month-over-month trends
Month-over-month shares for the top skills and role types. Every scrape is an independent cross-section of builtin.com listings, so each share is the fraction of that scrape's postings - not headcount and not hiring volume.
Skill trends by scrape
Share of that scrape's postings mentioning each skill. Every scrape is an independent cross-section, so shares are within-month.
GenAI
| Skill | Feb 4 | Feb 27 | Mar 27 | Apr 22 | May 29 | Jun 25 | Jul 22 | Aug 25 |
|---|---|---|---|---|---|---|---|---|
| LLMs | 66.1% | 58.6% | 62.9% | 62.3% | 64.1% | 64.8% | 61.9% | 58.6% |
| AI Agents | 40.1% | 38.6% | 40.9% | 44.5% | 42.2% | 46.1% | 47.5% | 35.8% |
| RAG | 32.8% | 40.4% | 40.9% | 37.4% | 38.1% | 41.9% | 42.3% | 43.2% |
| Prompt Engineering | 26.1% | 31.2% | 36.2% | 35.3% | 33.6% | 38.0% | 36.9% | 39.0% |
| Agentic Workflows | 22.0% | 24.1% | 29.9% | 30.1% | 31.3% | 31.2% | 28.3% | 42.0% |
| Generative AI | 28.9% | 36.2% | 34.1% | 33.2% | 24.6% | 30.6% | 29.1% | 24.7% |
| LangChain | 16.9% | 24.1% | 24.7% | 21.6% | 20.1% | 22.2% | 22.7% | 23.6% |
| LLM Evaluation | 20.3% | 17.4% | 21.0% | 20.2% | 22.9% | 25.8% | 24.6% | 21.4% |
Languages
| Skill | Feb 4 | Feb 27 | Mar 27 | Apr 22 | May 29 | Jun 25 | Jul 22 | Aug 25 |
|---|---|---|---|---|---|---|---|---|
| Python | 73.7% | 75.4% | 74.0% | 68.8% | 69.5% | 68.0% | 68.7% | 69.1% |
| TypeScript | 22.2% | 16.7% | 19.7% | 17.5% | 19.8% | 20.8% | 18.6% | 18.8% |
| Java | 15.4% | 22.6% | 17.8% | 18.8% | 16.3% | 16.7% | 17.4% | 17.1% |
| SQL | 11.1% | 16.3% | 12.8% | 14.9% | 15.7% | 13.7% | 13.8% | 15.8% |
| JavaScript | 9.6% | 12.4% | 12.1% | 15.2% | 11.5% | 11.6% | 10.2% | 11.1% |
Role mix by scrape
Share of each scrape's postings by role type: AI-first builds LLM products directly, AI-support builds around them, ML-first does classic ML, Unclassified has no extracted type.
| Role type | Feb 4 | Feb 27 | Mar 27 | Apr 22 | May 29 | Jun 25 | Jul 22 | Aug 25 |
|---|---|---|---|---|---|---|---|---|
| AI-first | 71.5% | 68.1% | 71.3% | 69.6% | 69.2% | 70.7% | 69.3% | 70.2% |
| AI-support | 22.2% | 25.3% | 24.0% | 24.7% | 24.5% | 25.2% | 25.1% | 23.2% |
| ML-first | 5.9% | 6.2% | 4.4% | 5.0% | 4.5% | 3.7% | 4.3% | 5.0% |
| Unclassified | 0.3% | 0.3% | 0.3% | 0.8% | 1.8% | 0.3% | 1.4% | 1.6% |
| Postings | 895 | 869 | 680 | 645 | 919 | 888 | 846 | 1222 |
Top employers
Employers with the most postings in the latest scrape (Aug 25, 2026):
| Company | Postings | Share |
|---|---|---|
| JPMorganChase | 34 | 2.8% |
| Capital One | 18 | 1.5% |
| Optum | 18 | 1.5% |
| Microsoft | 17 | 1.4% |
| Citi | 14 | 1.1% |
| Cisco | 13 | 1.1% |
| New York Life Insurance Company | 12 | 1.0% |
| EXL | 11 | 0.9% |
| PwC | 11 | 0.9% |
| Wolters Kluwer | 11 | 0.9% |
| NVIDIA | 10 | 0.8% |
| STAFIDE | 10 | 0.8% |
| Weekday, Inc. | 10 | 0.8% |
| BJAK | 8 | 0.7% |
| Binance | 7 | 0.6% |
Job locations by city
City-level posting locations in the latest scrape (Aug 25, 2026). A posting that lists several cities counts once per city, so the shares can add up to more than 100%.
| Location | Postings | Share |
|---|---|---|
| Bengaluru | 174 | 14.2% |
| New York | 174 | 14.2% |
| London | 101 | 8.3% |
| Hyderabad | 73 | 6.0% |
| Pune | 62 | 5.1% |
| Chennai | 34 | 2.8% |
| San Francisco | 34 | 2.8% |
| Mumbai | 32 | 2.6% |
| Los Angeles | 29 | 2.4% |
| Amsterdam | 27 | 2.2% |
Dataset and methodology
| Scrape | Postings |
|---|---|
| Feb 4 | 895 |
| Feb 27 | 869 |
| Mar 27 | 680 |
| Apr 22 | 645 |
| May 29 | 919 |
| Jun 25 | 888 |
| Jul 22 | 846 |
| Aug 25 | 1,222 |
| Total | 6,964 |
The raw dataset lives in the guide repo's job-market directory. Each monthly directory holds one YAML file per posting with the extracted skills, role type, and locations.
Shares are within-scrape percentages of postings, rounded to one decimal place. We don't deduplicate across months, so a company hiring in several months appears in each month's cross-section. The converter regenerates this page from the scrapes, and the numbers update after every monthly scrape. Data through August 2026.
Read The AI Engineering Field Guide for the practical version of this data. For the structured path with interview prep, projects, and a community that builds, become a member.
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