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.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 5 |
| 2026-08-18 | 5 |
| 2026-08-19 | 5 |
| 2026-08-20 | 5 |
| 2026-08-21 | 5 |
| 2026-08-22 | 5 |
| 2026-08-23 | 5 |
| 2026-08-24 | 6 |
| 2026-08-25 | 6 |
| 2026-08-26 | 6 |
| 2026-08-27 | 7 |
| 2026-08-28 | 7 |
| 2026-08-29 | 7 |
| 2026-08-30 | 7 |
| 2026-08-31 | 7 |
| 2026-09-01 | 7 |
| 2026-09-02 | 7 |
| 2026-09-03 | 6 |
| 2026-09-04 | 6 |
| 2026-09-05 | 6 |
| 2026-09-06 | 6 |
| 2026-09-07 | 6 |
| 2026-09-08 | 6 |
| 2026-09-09 | 7 |
| 2026-09-10 | 7 |
| 2026-09-11 | 7 |
| 2026-09-12 | 7 |
| 2026-09-13 | 7 |
| 2026-09-14 | 7 |
| 2026-09-15 | 7 |
| 2026-09-16 | 8 |
| 2026-09-17 | 8 |
| 2026-09-18 | 8 |
| 2026-09-19 | 9 |
| 2026-09-20 | 9 |
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.
- Pinecone 2
- LangGraph 5
- Langfuse 3
- Computer vision 2
- Hugging Face 3
- Fine-tuning 4
- OpenAI 6
- MLOps 4
- Vector search 3
- Inference 3
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.
- Backend Engineer II - Healthcare ↗H1 · New York
- Principal Backend Engineer (Forward Deployed) ↗Invisible Technologies · London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid
- Software Engineer, Full Stack (Senior, Staff+) ↗Kustomer · US - New York, NY
- Staff Software Engineer, AI/ML ↗Maven Clinic · New York, NY; Remote, US (Hub cities)
- Strategic Insights Analyst ↗K Health · New York, NY
- AI Security Analyst ↗AlphaSense · Remote - India
- Hands-on AI & Data Engineering Manager ↗April · Tel Aviv
- Senior Software Engineer, Backend (Applied AI) ↗SmarterDx · Remote (United States)
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.
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