AI coding assistants jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-07, AI coding assistants appears in 605 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning AI coding assistants, with demand share up 12.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-07
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Frequently asked questions about AI coding assistants
+Is AI coding assistants in demand in 2026?
Yes. AI coding assistants appears in 605 job postings indexed by Skillenai over the 90 days ending 2026-10-07. Software Engineer accounts for the most postings mentioning AI coding assistants (31.9% of all postings mentioning AI coding assistants).
+What jobs require AI coding assistants?
According to the Skillenai jobs index over the 90 days ending 2026-10-07, among roles with at least 20 postings, the highest shares mentioning AI coding assistants are Agent Product Manager (7.0% of that role’s postings mention AI coding assistants), Full Stack AI Engineer (5.6% of that role’s postings mention AI coding assistants), Software Tester (5.0% of that role’s postings mention AI coding assistants).
+What skills are commonly paired with AI coding assistants?
Across job postings indexed by Skillenai (90 days ending 2026-10-07), AI coding assistants most often appears alongside Python, Cursor, AWS, CI/CD, SQL.
+Where is AI coding assistants most in demand?
As of 2026-10-07, the metro areas posting the most jobs requiring AI coding assistants are San Francisco, New York City, Austin, Bengaluru, Berlin, according to the Skillenai jobs index.
+How can I keep up with new AI coding assistants content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI coding assistants alongside the jobs index. You can subscribe to a daily email digest of new AI coding assistants content from your Skillenai account.
+Which skills come before and after AI coding assistants?
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 AI coding assistants — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around AI coding assistants
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 AI coding assistants
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Agent Product Manager | 3 | 7.0% |
| Full Stack AI Engineer | 2 | 5.6% |
| Software Tester | 1 | 5.0% |
| Software Engineering Lead | 2 | 4.9% |
| Corporate Security Engineer | 1 | 4.8% |
| DevOps Developer | 1 | 4.8% |
| Application Engineer | 3 | 4.7% |
| Applied Research Scientist | 1 | 4.0% |
| GTM Engineer | 5 | 3.9% |
| AI Product Designer | 1 | 3.6% |
Roles with the most AI coding assistants postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 193 | 31.9% |
| Engineering Manager | 36 | 6.0% |
| Backend Engineer | 29 | 4.8% |
| Product Manager | 16 | 2.6% |
| Technical Program Manager | 16 | 2.6% |
| Full Stack Engineer | 14 | 2.3% |
| Data Engineer | 12 | 2.0% |
| AI Engineer | 11 | 1.8% |
| Data Scientist | 10 | 1.7% |
| Full Stack Developer | 8 | 1.3% |
Top companies posting jobs requiring AI coding assistants
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Grafanalabs | 33 |
| Grafana Labs | 33 |
| 17 | |
| OpenBrain | 13 |
| Twilio | 12 |
| SentinelOne | 11 |
| JPMorgan Chase & Co. | 9 |
| INFUSE | 7 |
| CLERA | 7 |
| Adobe | 7 |
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 AI coding assistants
| Name | Postings | Share |
|---|---|---|
| San Francisco | 32 | 5.3% |
| New York City | 14 | 2.3% |
| Austin | 11 | 1.8% |
| Bengaluru | 10 | 1.7% |
| Berlin | 8 | 1.3% |
| Ho Chi Minh City | 8 | 1.3% |
| San Jose | 8 | 1.3% |
| Paris | 6 | 1.0% |
| Bellevue | 5 | 0.8% |
Skills commonly paired with AI coding assistants
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-07. 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 AI coding assistants by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI coding assistants postings by all AI coding assistants 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: 0.2% to 0.3%. 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 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (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
- a65a41d88d30ec69
- data_as_of
- 2026-10-07
- 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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