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IT skill · Tool· AI & Machine Learning

LangGraph freelancers:
What the market really pays and wants.

Demand and trends for LangGraph – calculated from 33 real project and job postings of the last 90 days. No survey, no guesswork without data.

As of: week 41/2026 · updated weekly
Listings (90 d)
33
Rank 478 of 532 skills
Of which must-have
27 %
Rated for 33 postings (AI analysis), otherwise “nice to have”
The jury's verdict on LangGraph

A niche with little data.

LangGraph sits at rank 478 of 532, rather at the edge of demand.

Small marketRank 478 of 532 skills, 33 postings in 90 days.
And how does your LangGraph profile look?Check it for free

What is LangGraph – and why do companies hire LangGraph freelancers?

The postings that mention LangGraph fall into these types of project (share of the classified postings):

Data and AI64 %
Data platforms, analytics and AI solutions with LangGraph.
New development30 %
Building new applications, platforms and products with LangGraph.

Typical roles

The roles hired most often are Data Scientist (48 %), Data Engineer (24 %) and Backend Developer (15 %). Of the postings that state an experience level, 85 % explicitly ask for senior profiles.

Who wants LangGraph – and under which conditions

Seniority

Senior85 %
Mid-level9 %
Junior3 %

Senior dominates (85 %). Pure junior roles are rare (3 %).

Stated in 100 % of listings

Contract type

Freelance85 %
Permanent15 %

Freelance dominates (85 %).

Stated in 100 % of listings

Project language

English58 %
German42 %

English dominates (58 %).

Stated in 100 % of listings

Current LangGraph projects

Methodology: We count IT postings of the last 90 days that mention LangGraph. Projects posted several times that are detected as duplicates count once; postings without an assignable IT category are missing, so the figures are a lower bound. The trend compares the share of all IT postings with the 90 days before and only appears with enough comparison data. We do not show figures based on fewer than 30 data points. The rating “must have” or “nice to have” comes from an AI analysis of the posting texts. Distributions only refer to postings that state the respective attribute; we state the coverage alongside. An AI assigns the project type and role of each posting from its title, category and skills; the shares are counted postings, not estimates, and only appear with enough classified postings.

Basis: 10,534 IT listings in the window

You now know the LangGraph market.
Now let the jury judge your profile.

Your CV against 33 LangGraph listings – with findings, strengths and an hourly-rate check.

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