agent frameworks jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, agent frameworks appears in 624 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning agent frameworks, with demand share up 5.0% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about agent frameworks
+Is agent frameworks in demand in 2026?
Yes. agent frameworks appears in 624 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning agent frameworks (19.4% of all postings mentioning agent frameworks).
+What jobs require agent frameworks?
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 agent frameworks are Frontier Agents Engineer (27.3% of that role’s postings mention agent frameworks), AI Enablement Lead (14.3% of that role’s postings mention agent frameworks), AI Transformation Director (12.5% of that role’s postings mention agent frameworks).
+What skills are commonly paired with agent frameworks?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), agent frameworks most often appears alongside Python, LLMs, prompt engineering, observability, AWS.
+Where is agent frameworks most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring agent frameworks are New York City, San Francisco, San Jose, Bengaluru, London, according to the Skillenai jobs index.
+How can I keep up with new agent frameworks content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning agent frameworks alongside the jobs index. You can subscribe to a daily email digest of new agent frameworks content from your Skillenai account.
+Which skills come before and after agent frameworks?
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 agent frameworks — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around agent frameworks
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 agent frameworks
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Frontier Agents Engineer | 6 | 27.3% |
| AI Enablement Lead | 4 | 14.3% |
| AI Transformation Director | 4 | 12.5% |
| Founding AI Engineer | 2 | 9.5% |
| AI Enablement Engineer | 5 | 8.9% |
| AI Engineering Intern | 2 | 7.7% |
| Developer Advocate | 4 | 7.5% |
| Agentic AI Engineer | 4 | 6.5% |
| AI Operations Engineer | 2 | 6.2% |
| Developer Relations Engineer | 2 | 6.2% |
Roles with the most agent frameworks postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 121 | 19.4% |
| AI Engineer | 56 | 9.0% |
| Product Manager | 49 | 7.9% |
| Forward Deployed Engineer | 30 | 4.8% |
| Full Stack Engineer | 21 | 3.4% |
| Engineering Manager | 18 | 2.9% |
| Applied AI Engineer | 15 | 2.4% |
| LLM Application Engineer | 12 | 1.9% |
| AI Growth Automation Engineer | 10 | 1.6% |
| Platform Engineer | 10 | 1.6% |
Top companies posting jobs requiring agent frameworks
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Joinpond | 19 |
| Roku | 15 |
| CLERA | 13 |
| Bjakcareer | 12 |
| Grafana Labs | 12 |
| Workato | 11 |
| Scale AI | 11 |
| Clara | 9 |
| Anthropic | 9 |
| Adobe | 9 |
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 agent frameworks
| Name | Postings | Share |
|---|---|---|
| New York City | 51 | 8.2% |
| San Francisco | 46 | 7.4% |
| San Jose | 17 | 2.7% |
| Bengaluru | 15 | 2.4% |
| London | 12 | 1.9% |
| Hyderabad | 10 | 1.6% |
| Somerville | 8 | 1.3% |
| Toronto | 8 | 1.3% |
| Berlin | 7 | 1.1% |
Skills commonly paired with agent frameworks
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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 agent frameworks by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s agent frameworks postings by all agent frameworks 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
- 713e0f522e5635de
- 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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