Retrieval jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Retrieval appears in 1,195 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Retrieval, with demand down 2% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Retrieval
+Is Retrieval in demand in 2026?
Yes. Retrieval appears in 1,195 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 2% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning Retrieval (16.3% of all postings mentioning Retrieval).
+What jobs require Retrieval?
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 Retrieval are Frontier Agents Engineer (59.1% of that role’s postings mention Retrieval), AI Engineering Lead (18.8% of that role’s postings mention Retrieval), Agent Engineer (14.3% of that role’s postings mention Retrieval).
+What skills are commonly paired with Retrieval?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Retrieval most often appears alongside Python, LLMs, observability, machine learning, TypeScript.
+Where is Retrieval most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Retrieval are San Francisco, New York City, Bengaluru, London, San Jose, according to the Skillenai jobs index.
+How can I keep up with new Retrieval content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Retrieval alongside the jobs index. You can subscribe to a daily email digest of new Retrieval content from your Skillenai account.
Weekly job postings requiring Retrieval — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Retrieval
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Frontier Agents Engineer | 13 | 59.1% |
| AI Engineering Lead | 6 | 18.8% |
| Agent Engineer | 3 | 14.3% |
| Applied ML Engineer | 3 | 14.3% |
| Applied AI Engineer | 68 | 13.9% |
| Applied Research Engineer | 3 | 12.0% |
| Machine Learning Engineering Manager | 7 | 11.9% |
| Chief Architect | 4 | 10.5% |
| AI Deployment Engineer | 5 | 10.2% |
| AI Engineering Manager | 9 | 10.0% |
Roles with the most Retrieval postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 195 | 16.3% |
| AI Engineer | 121 | 10.1% |
| Product Manager | 86 | 7.2% |
| Machine Learning Engineer | 77 | 6.4% |
| Applied AI Engineer | 68 | 5.7% |
| Data Scientist | 48 | 4.0% |
| Research Engineer | 25 | 2.1% |
| Engineering Manager | 23 | 1.9% |
| ML Engineer | 22 | 1.8% |
| AI/ML Engineer | 17 | 1.4% |
Top metros hiring for Retrieval
| Name | Postings | Share |
|---|---|---|
| San Francisco | 129 | 10.8% |
| New York City | 106 | 8.9% |
| Bengaluru | 28 | 2.3% |
| London | 27 | 2.3% |
| San Jose | 26 | 2.2% |
| Toronto | 22 | 1.8% |
| Singapore | 19 | 1.6% |
| Amsterdam | 17 | 1.4% |
| Austin | 17 | 1.4% |
Skills commonly paired with Retrieval
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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 Retrieval by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Retrieval postings by all Retrieval 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
- 0e75be5a8ecffc40
- 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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