LLM-powered applications jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, LLM-powered applications appears in 148 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning LLM-powered applications, with demand share down 18.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want LLM-powered applications?
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Frequently asked questions about LLM-powered applications
+Is LLM-powered applications in demand in 2026?
Yes. LLM-powered applications appears in 148 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Software Engineer accounts for the most postings mentioning LLM-powered applications (18.9% of all postings mentioning LLM-powered applications).
+What jobs require LLM-powered applications?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning LLM-powered applications are Group Product Manager (6.9% of that role’s postings mention LLM-powered applications), Applied AI Architect (6.0% of that role’s postings mention LLM-powered applications), Agentic AI Engineer (3.4% of that role’s postings mention LLM-powered applications).
+What skills are commonly paired with LLM-powered applications?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), LLM-powered applications most often appears alongside Python, CI/CD, APIs, SQL, prompt engineering.
+Where is LLM-powered applications most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring LLM-powered applications are New York City, Tel Aviv, Bengaluru, London, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new LLM-powered applications content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning LLM-powered applications alongside the jobs index. You can subscribe to a daily email digest of new LLM-powered applications content from your Skillenai account.
+Which skills come before and after LLM-powered applications?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring LLM-powered applications — last 90 days
Career paths around LLM-powered applications
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require LLM-powered applications
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Group Product Manager | 7 | 6.9% |
| Applied AI Architect | 4 | 6.0% |
| Agentic AI Engineer | 2 | 3.4% |
| AI Data Engineer | 2 | 3.4% |
| Applied AI Engineer | 13 | 2.8% |
| Customer Engineer | 2 | 1.6% |
| AI Agent Engineer | 1 | 1.2% |
| Software Engineering Director | 1 | 1.1% |
| GTM Engineer | 2 | 1.0% |
| Software Development Engineer | 1 | 0.7% |
Roles with the most LLM-powered applications postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 28 | 18.9% |
| AI Engineer | 19 | 12.8% |
| Applied AI Engineer | 13 | 8.8% |
| Product Manager | 8 | 5.4% |
| Group Product Manager | 7 | 4.7% |
| Data Scientist | 6 | 4.1% |
| Applied AI Architect | 4 | 2.7% |
| GTM AI Engineer | 3 | 2.0% |
| AI Data Engineer | 2 | 1.4% |
| Agentic AI Architect | 2 | 1.4% |
Top companies posting jobs requiring LLM-powered applications
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Anthropic | 15 |
| Unframe | 12 |
| Render | 5 |
| OneTrust | 5 |
| Dialpad | 4 |
| Cisco | 4 |
| Everlaw | 3 |
| Equinix | 3 |
| Highmetric | 3 |
| Fiserv | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for LLM-powered applications
| Name | Postings | Share |
|---|---|---|
| New York City | 17 | 11.5% |
| Tel Aviv | 10 | 6.8% |
| Bengaluru | 8 | 5.4% |
| London | 7 | 4.7% |
| San Francisco | 4 | 2.7% |
| Menlo Park | 3 | 2.0% |
| Oakland | 3 | 2.0% |
| Atlanta | 2 | 1.4% |
| Boston | 2 | 1.4% |
Skills commonly paired with LLM-powered applications
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-05. 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-powered applications by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s LLM-powered applications postings by all LLM-powered applications 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 77d13eb452351c71
- data_as_of
- 2026-11-05
- window_days
- 90