AI in NYCAI in NYC
Menu

AI skills glossary · Vector & retrieval

Elasticsearch (OpenSearch)

A distributed search engine for keyword, and now vector, search. The most-named retrieval technology in New York AI postings.

Hiring data as of November 14, 2026, refreshed daily. All terms in the AI skills glossary

companies naming it
5 of 47companies naming it
open roles naming it
24open roles naming it
of those based in NYC
15of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What Elasticsearch means

Elasticsearch indexes documents for fast full-text search and analytics; OpenSearch is the open-source fork maintained by AWS, and we count both. Both now support vector search, which lets teams add semantic retrieval to infrastructure they already run.

Elasticsearch in New York job posts

5 of the 47 New York AI companies we track name Elasticsearch in at least one open role today, across 24 postings. 15 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 71% of the postings that name it are Engineering roles.

How to read it

As of September 2026 it is named by more companies in our data than any dedicated vector database. That is a useful corrective to the assumption that RAG means adopting a new datastore: many teams extend the search stack they already have. Search engineering experience is directly relevant to retrieval work.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Elasticsearch before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Companies naming Elasticsearch, daily

Count of companies with at least one open role naming the term. We read between 46 and 48 companies a day over this period, so a move of one or two is noise.

07.5155Aug 17Nov 14Aug 17: 10 companiesAug 18: 10 companiesAug 19: 10 companiesAug 20: 10 companiesAug 21: 10 companiesAug 22: 10 companiesAug 23: 10 companiesAug 24: 10 companiesAug 25: 10 companiesAug 26: 10 companiesAug 27: 10 companiesAug 28: 10 companiesAug 29: 10 companiesAug 30: 10 companiesAug 31: 10 companiesSep 1: 10 companiesSep 2: 10 companiesSep 3: 10 companiesSep 4: 10 companiesSep 5: 10 companiesSep 6: 10 companiesSep 7: 9 companiesSep 8: 9 companiesSep 9: 8 companiesSep 10: 8 companiesSep 11: 8 companiesSep 12: 8 companiesSep 13: 8 companiesSep 14: 8 companiesSep 15: 9 companiesSep 16: 9 companiesSep 17: 9 companiesSep 18: 9 companiesSep 19: 9 companiesSep 20: 9 companiesSep 21: 9 companiesSep 22: 9 companiesSep 23: 9 companiesSep 24: 9 companiesSep 25: 8 companiesSep 26: 8 companiesSep 27: 8 companiesSep 28: 8 companiesSep 29: 8 companiesSep 30: 8 companiesOct 1: 8 companiesOct 2: 8 companiesOct 3: 8 companiesOct 4: 8 companiesOct 5: 8 companiesOct 6: 8 companiesOct 7: 8 companiesOct 8: 8 companiesOct 9: 8 companiesOct 10: 8 companiesOct 11: 8 companiesOct 12: 8 companiesOct 13: 8 companiesOct 14: 8 companiesOct 15: 8 companiesOct 16: 8 companiesOct 17: 8 companiesOct 18: 8 companiesOct 19: 8 companiesOct 20: 8 companiesOct 21: 8 companiesOct 22: 8 companiesOct 23: 8 companiesOct 24: 8 companiesOct 25: 8 companiesOct 26: 8 companiesOct 27: 8 companiesOct 28: 7 companiesOct 29: 7 companiesOct 30: 7 companiesOct 31: 7 companiesNov 1: 7 companiesNov 2: 6 companiesNov 3: 6 companiesNov 4: 6 companiesNov 5: 6 companiesNov 6: 6 companiesNov 7: 6 companiesNov 8: 6 companiesNov 9: 6 companiesNov 10: 6 companiesNov 11: 5 companiesNov 12: 5 companiesNov 13: 5 companiesNov 14: 5 companies
View as table
Datecompanies
2026-08-1710
2026-08-1810
2026-08-1910
2026-08-2010
2026-08-2110
2026-08-2210
2026-08-2310
2026-08-2410
2026-08-2510
2026-08-2610
2026-08-2710
2026-08-2810
2026-08-2910
2026-08-3010
2026-08-3110
2026-09-0110
2026-09-0210
2026-09-0310
2026-09-0410
2026-09-0510
2026-09-0610
2026-09-079
2026-09-089
2026-09-098
2026-09-108
2026-09-118
2026-09-128
2026-09-138
2026-09-148
2026-09-159
2026-09-169
2026-09-179
2026-09-189
2026-09-199
2026-09-209
2026-09-219
2026-09-229
2026-09-239
2026-09-249
2026-09-258
2026-09-268
2026-09-278
2026-09-288
2026-09-298
2026-09-308
2026-10-018
2026-10-028
2026-10-038
2026-10-048
2026-10-058
2026-10-068
2026-10-078
2026-10-088
2026-10-098
2026-10-108
2026-10-118
2026-10-128
2026-10-138
2026-10-148
2026-10-158
2026-10-168
2026-10-178
2026-10-188
2026-10-198
2026-10-208
2026-10-218
2026-10-228
2026-10-238
2026-10-248
2026-10-258
2026-10-268
2026-10-278
2026-10-287
2026-10-297
2026-10-307
2026-10-317
2026-11-017
2026-11-026
2026-11-036
2026-11-046
2026-11-056
2026-11-066
2026-11-076
2026-11-086
2026-11-096
2026-11-106
2026-11-115
2026-11-125
2026-11-135
2026-11-145

Who names it

Open roles naming Elasticsearch, by company.

Which roles

The same postings, by function and by seniority.

  • Engineering17
  • GTM5
  • Research2
  • Mid14
  • Staff/Principal5
  • Senior3
  • Leadership1
  • Manager1

Named alongside Elasticsearch

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 5 companies pair the two.

Open roles naming Elasticsearch

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

Elasticsearch: common questions

What does Elasticsearch mean in an AI job posting?

A distributed search engine for keyword, and now vector, search. The most-named retrieval technology in New York AI postings. As of September 2026 it is named by more companies in our data than any dedicated vector database. That is a useful corrective to the assumption that RAG means adopting a new datastore: many teams extend the search stack they already have. Search engineering experience is directly relevant to retrieval work.

How many New York AI companies are hiring for Elasticsearch?

As of November 14, 2026, 5 of the 47 New York AI companies we track name Elasticsearch in the description of at least one open role, across 24 postings (15 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Elasticsearch pay in New York?

We do not publish a pay figure for Elasticsearch yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside Elasticsearch?

In the same postings, the terms most distinctively paired with Elasticsearch are Vector search, Apache Kafka, Java, Apache Airflow, AWS. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Related