pgvector jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, pgvector appears in 243 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning pgvector.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about pgvector
+Is pgvector in demand in 2026?
Yes. pgvector appears in 243 job postings indexed by Skillenai over the 90 days ending 2026-09-30. AI Engineer accounts for the most postings mentioning pgvector (18.5% of all postings mentioning pgvector).
+What jobs require pgvector?
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 pgvector are Generative AI Engineer (5.6% of that role’s postings mention pgvector), Marketing Data Scientist (4.8% of that role’s postings mention pgvector), Forward Deployed AI Engineer (4.2% of that role’s postings mention pgvector).
+What skills are commonly paired with pgvector?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), pgvector most often appears alongside Python, Pinecone, vector databases, Weaviate, LangChain.
+Where is pgvector most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring pgvector are San Francisco, Bengaluru, London, New York City, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new pgvector content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning pgvector alongside the jobs index. You can subscribe to a daily email digest of new pgvector content from your Skillenai account.
+Which skills come before and after pgvector?
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 pgvector — last 90 days
Career paths around pgvector
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before pgvector
Skills after pgvector
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 5 |
| Before: AWS | 2 |
| Before: JavaScript | 2 |
| Before: FAISS | 1 |
| Before: ARIMA | 1 |
| Before: scikit-learn | 1 |
| Before: ETL | 1 |
| Before: brain signal analysis | 1 |
| After: SOLID principles | 1 |
| After: microservice design | 1 |
| After: cloud-based products | 1 |
| After: CI/CD pipelines | 1 |
Roles most likely to require pgvector
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Generative AI Engineer | 3 | 5.6% |
| Marketing Data Scientist | 1 | 4.8% |
| Forward Deployed AI Engineer | 4 | 4.2% |
| AI Enablement Lead | 1 | 3.6% |
| AI Software Engineer | 8 | 2.8% |
| Full Stack AI Engineer | 1 | 2.7% |
| GenAI Engineer | 1 | 2.4% |
| CTO | 1 | 2.3% |
| AI Engineering Manager | 2 | 2.2% |
| Database Engineer | 2 | 2.2% |
Roles with the most pgvector postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Engineer | 45 | 18.5% |
| Software Engineer | 34 | 14.0% |
| Data Engineer | 12 | 4.9% |
| AI Software Engineer | 8 | 3.3% |
| Backend Engineer | 8 | 3.3% |
| Data Scientist | 7 | 2.9% |
| Forward Deployed Engineer | 7 | 2.9% |
| AI Architect | 4 | 1.6% |
| Applied AI Engineer | 4 | 1.6% |
| Forward Deployed AI Engineer | 4 | 1.6% |
Top companies posting jobs requiring pgvector
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Afresh | 5 |
| Exiger | 5 |
| SIA | 5 |
| Kiwi.com | 5 |
| Niural | 4 |
| Writer | 4 |
| Mastercard | 4 |
| Nebius | 4 |
| Adobe | 4 |
| Experian | 4 |
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 pgvector
| Name | Postings | Share |
|---|---|---|
| San Francisco | 12 | 4.9% |
| Bengaluru | 7 | 2.9% |
| London | 6 | 2.5% |
| New York City | 6 | 2.5% |
| Hyderabad | 5 | 2.1% |
| Toronto | 5 | 2.1% |
| Berlin | 4 | 1.6% |
| Pune | 4 | 1.6% |
| São Carlos | 4 | 1.6% |
Skills commonly paired with pgvector
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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 pgvector by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s pgvector postings by all pgvector 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 7883bba8971522ea
- 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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