LangGraph
A framework from the LangChain team for building agents as explicit graphs of steps, with state, branching, and human approval points.
Hiring data as of November 4, 2026 · refreshed daily
- companies naming it
- 2 of 47companies naming it
- open roles naming it
- 2open roles naming it
- of those based in NYC
- 0of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What LangGraph means
LangGraph models an agent as a graph: nodes do work, edges decide what happens next, and state persists across the run so it can pause, resume, or wait for a person. It targets the control and reliability problems that appear once an agent runs for many steps.
LangGraph in New York job posts
2 of the 47 New York AI companies we track name LangGraph in at least one open role today, across 2 postings. 0 of those are based in New York; the rest are remote or in the companies’ other offices.
How to read it
Named by a small set of companies, nearly always alongside AI agents and LangChain. It identifies a team building multi-step agents in production and caring about controllability.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming LangGraph 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 LangGraph, 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.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 4 |
| 2026-08-18 | 4 |
| 2026-08-19 | 4 |
| 2026-08-20 | 4 |
| 2026-08-21 | 4 |
| 2026-08-22 | 4 |
| 2026-08-23 | 4 |
| 2026-08-24 | 4 |
| 2026-08-25 | 4 |
| 2026-08-26 | 4 |
| 2026-08-27 | 5 |
| 2026-08-28 | 5 |
| 2026-08-29 | 5 |
| 2026-08-30 | 5 |
| 2026-08-31 | 5 |
| 2026-09-01 | 5 |
| 2026-09-02 | 5 |
| 2026-09-03 | 5 |
| 2026-09-04 | 5 |
| 2026-09-05 | 5 |
| 2026-09-06 | 5 |
| 2026-09-07 | 5 |
| 2026-09-08 | 5 |
| 2026-09-09 | 5 |
| 2026-09-10 | 5 |
| 2026-09-11 | 5 |
| 2026-09-12 | 5 |
| 2026-09-13 | 5 |
| 2026-09-14 | 5 |
| 2026-09-15 | 5 |
| 2026-09-16 | 5 |
| 2026-09-17 | 5 |
| 2026-09-18 | 5 |
| 2026-09-19 | 6 |
| 2026-09-20 | 6 |
| 2026-09-21 | 6 |
| 2026-09-22 | 5 |
| 2026-09-23 | 5 |
| 2026-09-24 | 5 |
| 2026-09-25 | 4 |
| 2026-09-26 | 4 |
| 2026-09-27 | 4 |
| 2026-09-28 | 4 |
| 2026-09-29 | 4 |
| 2026-09-30 | 4 |
| 2026-10-01 | 4 |
| 2026-10-02 | 4 |
| 2026-10-03 | 4 |
| 2026-10-04 | 4 |
| 2026-10-05 | 4 |
| 2026-10-06 | 4 |
| 2026-10-07 | 4 |
| 2026-10-08 | 4 |
| 2026-10-09 | 4 |
| 2026-10-10 | 4 |
| 2026-10-11 | 4 |
| 2026-10-12 | 4 |
| 2026-10-13 | 4 |
| 2026-10-14 | 4 |
| 2026-10-15 | 4 |
| 2026-10-16 | 4 |
| 2026-10-17 | 4 |
| 2026-10-18 | 4 |
| 2026-10-19 | 4 |
| 2026-10-20 | 4 |
| 2026-10-21 | 4 |
| 2026-10-22 | 4 |
| 2026-10-23 | 4 |
| 2026-10-24 | 4 |
| 2026-10-25 | 4 |
| 2026-10-26 | 4 |
| 2026-10-27 | 4 |
| 2026-10-28 | 4 |
| 2026-10-29 | 3 |
| 2026-10-30 | 3 |
| 2026-10-31 | 3 |
| 2026-11-01 | 3 |
| 2026-11-02 | 3 |
| 2026-11-03 | 3 |
| 2026-11-04 | 2 |
Which roles
The same postings, by function and by seniority.
- Engineering2
- Senior1
- Manager1
Named alongside LangGraph
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 2 companies pair the two.
- LangChain 2
- LLMs 2
- AI agents 2
- Python 2
Open roles naming LangGraph
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.
- Hands-on AI & Data Engineering Manager ↗April · Tel Aviv
- Senior Engineering Manager, AI ↗AlphaSense · 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.
LangGraph — common questions
What does LangGraph mean in an AI job posting?
A framework from the LangChain team for building agents as explicit graphs of steps, with state, branching, and human approval points. Named by a small set of companies, nearly always alongside AI agents and LangChain. It identifies a team building multi-step agents in production and caring about controllability.
How many New York AI companies are hiring for LangGraph?
As of November 4, 2026, 2 of the 47 New York AI companies we track name LangGraph in the description of at least one open role, across 2 postings (0 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for LangGraph pay in New York?
We do not publish a pay figure for LangGraph 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 LangGraph?
In the same postings, the terms most distinctively paired with LangGraph are LangChain, LLMs, AI agents, Python. 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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