AI-assisted development tools jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, AI-assisted development tools appears in 646 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning AI-assisted development tools, with demand share up 12.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about AI-assisted development tools
+Is AI-assisted development tools in demand in 2026?
Yes. AI-assisted development tools appears in 646 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning AI-assisted development tools (44.9% of all postings mentioning AI-assisted development tools).
+What jobs require AI-assisted development tools?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning AI-assisted development tools are Security Automation Engineer (10.3% of that role’s postings mention AI-assisted development tools), Research Software Engineer (8.3% of that role’s postings mention AI-assisted development tools), Security Engineering Manager (5.2% of that role’s postings mention AI-assisted development tools).
+What skills are commonly paired with AI-assisted development tools?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), AI-assisted development tools most often appears alongside Python, CI/CD, Java, Distributed systems, TypeScript.
+Where is AI-assisted development tools most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring AI-assisted development tools are Bengaluru, San Francisco, New York City, London, Pune, according to the Skillenai jobs index.
+How can I keep up with new AI-assisted development tools content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI-assisted development tools alongside the jobs index. You can subscribe to a daily email digest of new AI-assisted development tools content from your Skillenai account.
+Which skills come before and after AI-assisted development tools?
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-assisted development tools — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around AI-assisted development tools
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before AI-assisted development tools
Skills after AI-assisted development tools
No published outgoing skill pairs yet.
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: UI/UX development | 1 |
| Before: MYSQL | 1 |
| Before: database schemas | 1 |
| Before: Oracle SQL | 1 |
| Before: UI/UX | 1 |
| Before: full-stack | 1 |
Roles most likely to require AI-assisted development tools
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Security Automation Engineer | 6 | 10.3% |
| Research Software Engineer | 2 | 8.3% |
| Security Engineering Manager | 3 | 5.2% |
| Developer Experience Engineer | 1 | 4.8% |
| AI Lead | 1 | 4.5% |
| React Native Engineer | 1 | 4.3% |
| AI Product Designer | 1 | 4.0% |
| Scientific Software Engineer | 1 | 4.0% |
| Security Research Engineer | 2 | 3.6% |
| Technology Consultant | 1 | 3.4% |
Roles with the most AI-assisted development tools postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 290 | 44.9% |
| Engineering Manager | 43 | 6.7% |
| Product Manager | 12 | 1.9% |
| Full Stack Engineer | 11 | 1.7% |
| Product Engineer | 10 | 1.5% |
| Fullstack Engineer | 9 | 1.4% |
| Technical Lead | 7 | 1.1% |
| Security Automation Engineer | 6 | 0.9% |
| Backend Engineer | 5 | 0.8% |
| Business Systems Developer | 5 | 0.8% |
Top companies posting jobs requiring AI-assisted development tools
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| OneTrust | 21 |
| Mozilla | 20 |
| Cisco | 15 |
| Adobe | 14 |
| Hire Hangar | 13 |
| Elastic | 12 |
| Kayak | 11 |
| Axon | 10 |
| Masabi | 10 |
| 8 |
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-assisted development tools
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 21 | 3.3% |
| San Francisco | 20 | 3.1% |
| New York City | 14 | 2.2% |
| London | 12 | 1.9% |
| Pune | 11 | 1.7% |
| San Jose | 11 | 1.7% |
| Boston | 9 | 1.4% |
| Los Angeles | 7 | 1.1% |
| Seattle | 7 | 1.1% |
Skills commonly paired with AI-assisted development tools
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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-assisted development tools by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI-assisted development tools postings by all AI-assisted development tools 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: 0.3% 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- 7380bb56e4e12b1f
- data_as_of
- 2026-09-30
- 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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