LangChain

An open-source framework for building applications on language models — chaining calls, connecting retrieval, and managing tools and memory.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
9 of 47companies naming it
open roles naming it
21open roles naming it
of those based in NYC
8of those based in NYC
pay: under 8 posted ranges
pay: under 8 posted ranges

What LangChain means

LangChain provides building blocks for LLM applications: prompt templates, connectors to models and vector stores, retrieval pipelines, and agent loops. It was the first widely adopted framework of its kind, which made it the default vocabulary for the category even among teams that later moved to lighter approaches or their own code.

LangChain in New York job posts

9 of the 47 New York AI companies we track name LangChain in at least one open role today, across 21 postings. 8 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 90% of the postings that name it are Engineering roles.

How to read it

More often listed as an example (“LangChain or similar”) than as a requirement. Employers use it as shorthand for having built a real LLM application. Knowing what the framework does for you, and when you would not use it, matters more in an interview than knowing its API.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming LangChain 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 LangChain, daily

Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.

07.5159Aug 17Sep 20Aug 17: 5 companiesAug 18: 5 companiesAug 19: 5 companiesAug 20: 5 companiesAug 21: 5 companiesAug 22: 5 companiesAug 23: 5 companiesAug 24: 6 companiesAug 25: 6 companiesAug 26: 6 companiesAug 27: 7 companiesAug 28: 7 companiesAug 29: 7 companiesAug 30: 7 companiesAug 31: 7 companiesSep 1: 7 companiesSep 2: 7 companiesSep 3: 6 companiesSep 4: 6 companiesSep 5: 6 companiesSep 6: 6 companiesSep 7: 6 companiesSep 8: 6 companiesSep 9: 7 companiesSep 10: 7 companiesSep 11: 7 companiesSep 12: 7 companiesSep 13: 7 companiesSep 14: 7 companiesSep 15: 7 companiesSep 16: 8 companiesSep 17: 8 companiesSep 18: 8 companiesSep 19: 9 companiesSep 20: 9 companies
View as table
Datecompanies
2026-08-175
2026-08-185
2026-08-195
2026-08-205
2026-08-215
2026-08-225
2026-08-235
2026-08-246
2026-08-256
2026-08-266
2026-08-277
2026-08-287
2026-08-297
2026-08-307
2026-08-317
2026-09-017
2026-09-027
2026-09-036
2026-09-046
2026-09-056
2026-09-066
2026-09-076
2026-09-086
2026-09-097
2026-09-107
2026-09-117
2026-09-127
2026-09-137
2026-09-147
2026-09-157
2026-09-168
2026-09-178
2026-09-188
2026-09-199
2026-09-209

Who names it

Open roles naming LangChain, by company.

  • AlphaSense8
  • Invisible Technologies5
  • K Health2
  • April1
  • Comet1
  • H11
  • Kustomer1
  • Maven Clinic1
  • SmarterDx1

Which roles

The same postings, by function and by seniority.

  • Engineering19
  • GTM1
  • Operations1
  • Mid9
  • Senior7
  • Staff/Principal4
  • Manager1

Named alongside LangChain

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 9 companies pair the two.

Open roles naming LangChain

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.

LangChain — common questions

What does LangChain mean in an AI job posting?

An open-source framework for building applications on language models — chaining calls, connecting retrieval, and managing tools and memory. More often listed as an example (“LangChain or similar”) than as a requirement. Employers use it as shorthand for having built a real LLM application. Knowing what the framework does for you, and when you would not use it, matters more in an interview than knowing its API.

How many New York AI companies are hiring for LangChain?

As of September 20, 2026, 9 of the 47 New York AI companies we track name LangChain in the description of at least one open role, across 21 postings (8 based in New York). The count refreshes daily from the companies’ own job boards.

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

We do not publish a pay figure for LangChain 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 LangChain?

In the same postings, the terms most distinctively paired with LangChain are Pinecone, LangGraph, Langfuse, Computer vision, Hugging Face. 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.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.