Retrieval-augmented generation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-23, Retrieval-augmented generation appears in 262 job postings indexed by Skillenai over the past 90 days — most often required for AI Engineer roles, with demand up 18% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-23
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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 262 job postings indexed by Skillenai over the 90 days ending 2026-07-23, with demand up 18% vs the prior 4 weeks. It is most often required for AI Engineer roles (14% of AI Engineer postings list it).
+What jobs require Retrieval-augmented generation?
According to the Skillenai jobs index over the 90 days ending 2026-07-23, the job titles most likely to require Retrieval-augmented generation are AI Engineer (14% of postings list Retrieval-augmented generation), Software Engineer (14% of postings list Retrieval-augmented generation), Machine Learning Engineer (6% of postings list Retrieval-augmented generation).
+What skills are commonly paired with Retrieval-augmented generation?
Across job postings indexed by Skillenai (90 days ending 2026-07-23), Retrieval-augmented generation most often appears alongside Python, prompt engineering, machine learning, LLMs, fine-tuning.
+Where is Retrieval-augmented generation most in demand?
As of 2026-07-23, 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 |
|---|---|---|
| AI Engineer | 37 | 14.1% |
| Software Engineer | 36 | 13.7% |
| Machine Learning Engineer | 15 | 5.7% |
| ML Engineer | 12 | 4.6% |
| Forward Deployed Engineer | 11 | 4.2% |
| Applied AI Engineer | 7 | 2.7% |
| AI/ML Engineer | 5 | 1.9% |
| Data Scientist | 5 | 1.9% |
| Product Manager | 5 | 1.9% |
| Research Engineer | 5 | 1.9% |
Top metros hiring for Retrieval-augmented generation
| Name | Postings | Share |
|---|---|---|
| New York City | 19 | 7.3% |
| San Francisco | 17 | 6.5% |
| London | 13 | 5.0% |
| Bengaluru | 10 | 3.8% |
| San Jose | 8 | 3.1% |
| Toronto | 7 | 2.7% |
| Seattle | 5 | 1.9% |
| Amsterdam | 4 | 1.5% |
| San Carlos | 4 | 1.5% |
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 2026-07-23. 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
- 2026-07-23
- 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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