Hybrid search jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Hybrid search appears in 193 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning Hybrid search.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
193
Top role · 14.5% of skill postings
Top hiring metro
Santa Clara

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Frequently asked questions about Hybrid search

+Is Hybrid search in demand in 2026?

Yes. Hybrid search appears in 193 job postings indexed by Skillenai over the 90 days ending 2026-09-30. AI Engineer accounts for the most postings mentioning Hybrid search (14.5% of all postings mentioning Hybrid search).

+What jobs require Hybrid search?

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 Hybrid search are Applied Research Engineer (7.7% of that role’s postings mention Hybrid search), AI Application Engineer (6.9% of that role’s postings mention Hybrid search), AI Solution Architect (6.6% of that role’s postings mention Hybrid search).

+What skills are commonly paired with Hybrid search?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Hybrid search most often appears alongside Python, RAG, vector databases, embeddings, prompt engineering.

+Where is Hybrid search most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Hybrid search are Santa Clara, San Francisco, New York City, Raleigh, Montréal, according to the Skillenai jobs index.

+How can I keep up with new Hybrid search content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Hybrid search alongside the jobs index. You can subscribe to a daily email digest of new Hybrid search content from your Skillenai account.

+Which skills come before and after Hybrid search?

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 Hybrid search — last 90 days

Career paths around Hybrid search

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Hybrid search

Before Hybrid searchOpenAI API → Hybrid search: 2 observed employer moves with this skill pairretrospectives → Hybrid search: 1 observed employer moves with this skill pairtext generation → Hybrid search: 1 observed employer moves with this skill pairQuality Assurance → Hybrid search: 1 observed employer moves with this skill pairvit → Hybrid search: 1 observed employer moves with this skill pairApache Kafka → Hybrid search: 1 observed employer moves with this skill pairdaily standups → Hybrid search: 1 observed employer moves with this skill pairAWS Glue → Hybrid search: 1 observed employer moves with this skill pairHybrid searchOpenAI API: 2 movesOpenAI API2 movesretrospectives: 1 movesretrospectives1 movestext generation: 1 movestext generation1 movesQuality Assurance: 1 movesQuality Assurance1 movesvit: 1 movesvit1 movesApache Kafka: 1 movesApache Kafka1 movesdaily standups: 1 movesdaily standups1 movesAWS Glue: 1 movesAWS Glue1 moves

Skills after Hybrid search

No published outgoing skill pairs yet.

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.

Observed connections and move counts
ConnectionMoves
Before: OpenAI API2
Before: retrospectives1
Before: text generation1
Before: Quality Assurance1
Before: vit1
Before: Apache Kafka1
Before: daily standups1
Before: AWS Glue1

Roles most likely to require Hybrid search

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Applied Research Engineer27.7%
AI Application Engineer26.9%
AI Solution Architect56.6%
Gen AI Engineer15.0%
Platform Engineering Director15.0%
Artificial Intelligence Engineer14.2%
AI Director14.0%
Database Architect13.6%
Data & AI Engineer13.4%
Forward Deployed AI Engineer33.2%

Roles with the most Hybrid search postings

RolePostings mentioning skillShare of skill postings
AI Engineer2814.5%
Software Engineer2613.5%
Data Scientist199.8%
Machine Learning Engineer105.2%
Data Engineer84.1%
AI Architect73.6%
AI/ML Engineer63.1%
Applied AI Engineer63.1%
AI Software Engineer52.6%
AI Solution Architect52.6%

Top companies posting jobs requiring Hybrid search

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Hybrid search
CompanyPostings · 90 days
Elsevier16
ServiceNow16
Seeking Alpha5
Afresh4
LexisNexis4
ShiftKey4
Advanced Micro Devices Inc.3
Artefact3
Drata3
Worldspan2

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 Hybrid search

NamePostingsShare
Santa Clara136.7%
San Francisco115.7%
New York City73.6%
Raleigh63.1%
Montréal52.6%
Bengaluru31.6%
San Jose31.6%
Austin21.0%
Ho Chi Minh City21.0%

Skills commonly paired with Hybrid search

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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 Hybrid search by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Hybrid search postings by all Hybrid search 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
54a6cdb93910c75a
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Hybrid search?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index