retrieval systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-15, retrieval systems appears in 323 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 11% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-15
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Frequently asked questions about retrieval systems
+Is retrieval systems in demand in 2026?
Yes. retrieval systems appears in 323 job postings indexed by Skillenai over the 90 days ending 2026-09-15, with demand down 11% vs the prior 4 weeks. It is most often required for Software Engineer roles (18% of Software Engineer postings list it).
+What jobs require retrieval systems?
According to the Skillenai jobs index over the 90 days ending 2026-09-15, the job titles most likely to require retrieval systems are Software Engineer (18% of postings list retrieval systems), AI Engineer (12% of postings list retrieval systems), Machine Learning Engineer (6% of postings list retrieval systems).
+What skills are commonly paired with retrieval systems?
Across job postings indexed by Skillenai (90 days ending 2026-09-15), retrieval systems most often appears alongside Python, LLMs, observability, vector databases, Distributed systems.
+Where is retrieval systems most in demand?
As of 2026-09-15, the metro areas posting the most jobs requiring retrieval systems are San Francisco, New York City, Bengaluru, Seattle, Boston, according to the Skillenai jobs index.
+How can I keep up with new retrieval systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning retrieval systems alongside the jobs index. You can subscribe to a daily email digest of new retrieval systems content from your Skillenai account.
Weekly job postings requiring retrieval systems — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require retrieval systems
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 59 | 18.3% |
| AI Engineer | 37 | 11.5% |
| Machine Learning Engineer | 19 | 5.9% |
| Product Manager | 15 | 4.6% |
| LLM Application Engineer | 11 | 3.4% |
| Applied AI Engineer | 10 | 3.1% |
| Data Scientist | 10 | 3.1% |
| Forward Deployed Engineer | 8 | 2.5% |
| ML Engineer | 8 | 2.5% |
| Backend Engineer | 7 | 2.2% |
Top metros hiring for retrieval systems
| Name | Postings | Share |
|---|---|---|
| San Francisco | 27 | 8.4% |
| New York City | 24 | 7.4% |
| Bengaluru | 11 | 3.4% |
| Seattle | 10 | 3.1% |
| Boston | 9 | 2.8% |
| Cork | 6 | 1.9% |
| London | 6 | 1.9% |
| Toronto | 6 | 1.9% |
| Menlo Park | 5 | 1.5% |
Skills commonly paired with retrieval systems
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-15. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 133562e1c9a70746
- data_as_of
- 2026-09-15
- 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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