Retrieval-augmented generation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, Retrieval-augmented generation appears in 169 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 27% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about Retrieval-augmented generation
+Is Retrieval-augmented generation in demand in 2026?
Yes. Retrieval-augmented generation appears in 169 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 27% vs the prior 4 weeks. It is most often required for Software Engineer roles (14% of Software Engineer postings list it).
+What jobs require Retrieval-augmented generation?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require Retrieval-augmented generation are Software Engineer (14% of postings list Retrieval-augmented generation), AI Engineer (11% of postings list Retrieval-augmented generation), Machine Learning Engineer (7% of postings list Retrieval-augmented generation).
+What skills are commonly paired with Retrieval-augmented generation?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), Retrieval-augmented generation most often appears alongside Python, prompt engineering, machine learning, fine-tuning, LLMs.
+Where is Retrieval-augmented generation most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring Retrieval-augmented generation are New York City, San Francisco, London, Bengaluru, San Jose, according to the Skillenai jobs index.
+How can I keep up with new Retrieval-augmented generation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Retrieval-augmented generation alongside the jobs index. You can subscribe to a daily email digest of new Retrieval-augmented generation content from your Skillenai account.
Weekly job postings requiring Retrieval-augmented generation — last 90 days
Job titles most likely to require Retrieval-augmented generation
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 24 | 14.2% |
| AI Engineer | 18 | 10.7% |
| Machine Learning Engineer | 12 | 7.1% |
| Data Scientist | 10 | 5.9% |
| ML Engineer | 6 | 3.6% |
| Staff Software Engineer | 6 | 3.6% |
| Forward Deployed Engineer | 5 | 3.0% |
| Principal Software Engineer | 4 | 2.4% |
| AI Solutions Strategist | 3 | 1.8% |
| Full-Stack Engineer | 3 | 1.8% |
Top metros hiring for Retrieval-augmented generation
| Name | Postings | Share |
|---|---|---|
| New York City | 18 | 26.1% |
| San Francisco | 16 | 23.2% |
| London | 13 | 18.8% |
| Bengaluru | 7 | 10.1% |
| San Jose | 4 | 5.8% |
| Seattle | 4 | 5.8% |
| Tel Aviv | 3 | 4.3% |
| Bogotá | 2 | 2.9% |
| Budapest | 2 | 2.9% |
Skills commonly paired with Retrieval-augmented generation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. 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
- bbb073fbef2a4135
- data_as_of
- 2026-05-17
- 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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