LLM APIs jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, LLM APIs appears in 994 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning LLM APIs, with demand down 7% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about LLM APIs
+Is LLM APIs in demand in 2026?
Yes. LLM APIs appears in 994 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 7% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning LLM APIs (22.6% of all postings mentioning LLM APIs).
+What jobs require LLM APIs?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning LLM APIs are AI Solutions Specialist (25.0% of that role’s postings mention LLM APIs), Founding Engineer (22.7% of that role’s postings mention LLM APIs), AI Solution Engineer (20.0% of that role’s postings mention LLM APIs).
+What skills are commonly paired with LLM APIs?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), LLM APIs most often appears alongside Python, TypeScript, prompt engineering, React, SQL.
+Where is LLM APIs most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring LLM APIs are San Francisco, New York City, San Jose, London, Berlin, according to the Skillenai jobs index.
+How can I keep up with new LLM APIs content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning LLM APIs alongside the jobs index. You can subscribe to a daily email digest of new LLM APIs content from your Skillenai account.
Weekly job postings requiring LLM APIs — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require LLM APIs
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Solutions Specialist | 5 | 25.0% |
| Founding Engineer | 27 | 22.7% |
| AI Solution Engineer | 4 | 20.0% |
| Forward Deployment Engineer | 6 | 15.4% |
| Agent Engineer | 3 | 14.3% |
| AI Application Engineer | 4 | 13.8% |
| AI Strategist | 4 | 13.3% |
| AI Deployment Lead | 3 | 12.5% |
| GTM Engineer | 13 | 11.2% |
| Applied AI Engineer | 54 | 11.1% |
Roles with the most LLM APIs postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 225 | 22.6% |
| AI Engineer | 79 | 7.9% |
| Applied AI Engineer | 54 | 5.4% |
| Full Stack Engineer | 31 | 3.1% |
| Founding Engineer | 27 | 2.7% |
| Forward Deployed Engineer | 24 | 2.4% |
| Data Scientist | 20 | 2.0% |
| GTM Engineer | 13 | 1.3% |
| Security Engineer | 13 | 1.3% |
| AI Growth Automation Engineer | 12 | 1.2% |
Top metros hiring for LLM APIs
| Name | Postings | Share |
|---|---|---|
| San Francisco | 95 | 9.6% |
| New York City | 58 | 5.8% |
| San Jose | 35 | 3.5% |
| London | 22 | 2.2% |
| Berlin | 17 | 1.7% |
| Bengaluru | 13 | 1.3% |
| Bucharest | 11 | 1.1% |
| Seattle | 11 | 1.1% |
| Austin | 10 | 1.0% |
Skills commonly paired with LLM APIs
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning LLM APIs by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s LLM APIs postings by all LLM APIs postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 04ac9f6544f74dc8
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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