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CrewAI Job Market 2026: Why Europe Still Drives CrewAI Hiring
We analyzed 534 agentic AI engineering listings on our job board. 58 tag CrewAI. 62% of those roles are in Europe, the US share is climbing but still at 28%, and 0 of 58 CrewAI jobs ask for CrewAI alone.
April 19, 2026
CrewAI jobs in EU
62.1%
vs 27.6% in the US
Jobs listing CrewAI alone
0 / 58
avg 3.71 frameworks per role
Avg mid USD salary
$174,714
median mid $184,150
Hybrid share
53.4%
vs 48.9% market average
We run agentic-engineering-jobs.com, a job board for engineers who build agentic systems: AI agents, RAG pipelines, and multi-agent orchestrations. As of April 2026, we have 534 published listings. 58 tag CrewAI. We pulled every field on every one of those jobs and looked for the pattern.
The pattern isn't what the American framework discourse suggests. In the hiring data, CrewAI still reads as a European enterprise framework. SAP, Capgemini, Citi, Binance, GEICO, Apple, Datadog, PointClickCare, Nordea. Hybrid senior staff. Containerized, multi-cloud, Python-only production stacks. UK, Spain, Poland, Germany at the top of the country list.
The European tilt
62.1% of CrewAI-tagged jobs are in the EU. 27.6% are in the US. Six months ago those numbers were 72% and 13%. The US share is climbing, but CrewAI still has the starkest European skew of any major agentic framework in our dataset.
| Region | CrewAI % | LC ecosystem % | All agentic % |
|---|---|---|---|
| EU | 62.1% | 52.6% | 47.9% |
| US | 27.6% | 35.2% | 43.1% |
| APAC | 5.2% | 6.6% | 4.7% |
| Global | 3.4% | 3.8% | 3.4% |
| LatAm | 1.7% | 0.0% | 0.9% |
LangChain is already Europe-tilted. The overall agentic market is near-even between EU and US. CrewAI still bends further than either. US CrewAI listings in absolute terms: 16 jobs. Up from 6 six months ago, but still about a quarter of the cohort.
Two structural reasons this isn't noise. CrewAI publishes a Fortune 500 customer list featuring Capgemini, PwC, IBM, and NVIDIA, and Capgemini appears twice in our hiring data. Named customer, named employer, same company. Cross-validated. Separately, the EU AI Act's general-purpose and Annex III obligations start enforcement on August 2, 2026. An agent with a declared role, goal, and escalation protocol is auditable by construction in a way that a freeform graph or open-ended conversation isn't. European enterprises hiring into that regulatory horizon have a structural reason to prefer a role-based framework.
The country map
Inside Europe, the concentration isn't where the venture-capital map would predict.
| Country | CrewAI jobs |
|---|---|
| United States | 16 |
| United Kingdom | 8 |
| Spain | 6 |
| Poland | 6 |
| Germany | 5 |
| Hungary | 3 |
| Switzerland | 3 |
| Sweden | 3 |
| Estonia | 2 |
| Portugal | 2 |
| Ireland | 2 |
| Brazil | 2 |
| France | 2 |
The US tops the country count at 16, but 40 of the 58 CrewAI listings sit across Europe. The UK is #2 at 8, Spain and Poland tie for #3 at 6 each. Hungary and Switzerland match or beat Germany on absolute count and clearly beat it on population-weighted volume. Central and Eastern Europe is earned ground for CrewAI. If you're an agent engineer in Warsaw, Budapest, or Tallinn, the CrewAI job volume above your zip code is closer to London's than the funding headlines would suggest.
Enterprise adoption, not startup hype
Named enterprises in the CrewAI cohort: SAP (3 mid/senior roles), PointClickCare (3 principal-level roles), Capgemini (2), GEICO (2 staff), Apple (2), Binance (2 senior), Datadog (2 staff), Citi (2, including a senior and a lead role), Clarity AI (2 staff). Beyond that: Nordea, Tenable, Natera, Robert Walters, YLD, Netguru, Intellias, Modulai, and PEAX AG.
| Company | Jobs | Seniority |
|---|---|---|
| SAP | 3 | Mid, Senior |
| PointClickCare | 3 | Principal |
| Capgemini | 2 | Mid, Lead |
| GEICO | 2 | Staff |
| Apple | 2 | Mid, Senior |
| Binance | 2 | Senior |
| Datadog | 2 | Staff |
| Citi | 2 | Senior, Lead |
| Clarity AI | 2 | Staff |
Capgemini is the cross-validation. The company appears twice in our CrewAI hiring data and is a publicly named CrewAI customer on CrewAI's own case study list, alongside PwC, IBM, and NVIDIA. CrewAI reported Fortune 500 penetration moving from around 40% in October 2024 to around 60% in late 2025. When Capgemini, SAP, and Citi write a specific framework into senior job descriptions, it's because clients are asking for it by name.
Salary: mid-pack among framework specialists
Average mid-point USD salary for CrewAI roles with disclosed USD pay lands at $174,714, with a $184,150 median. CrewAI sits between LangChain and LlamaIndex in the framework-specialist cohort, within a few thousand dollars of every other mainstream framework.
| Framework | Sample | Avg min | Avg max | Avg mid | Median mid |
|---|---|---|---|---|---|
| LangGraph | 29 | $150,546 | $214,150 | $182,348 | $185,334 |
| LangChain | 46 | $153,237 | $206,769 | $180,003 | $182,825 |
| AutoGen | 13 | $141,238 | $212,844 | $177,041 | $185,334 |
| CrewAI | 13 | $148,923 | $200,505 | $174,714 | $184,150 |
| LlamaIndex | 22 | $150,080 | $199,509 | $174,794 | $168,500 |
| All agentic (USD) | 189 | $187,661 | $269,862 | $228,761 | $230,000 |
Sample is 13 USD-denominated CrewAI roles. Read this as “where CrewAI pay is disclosed in USD”, not as a universal claim.
The framework-tagged cohort sits below the $229k all-agentic mid because framework-agnostic and unicorn-tier listings pull the overall average up, and those listings tend not to name tools. Compare CrewAI within the framework-specialist tier, and it lands inside the same $10k band as LangChain, LangGraph, AutoGen, and LlamaIndex.
Hybrid, senior, full-time. The enterprise shape.
The work arrangement data matches the employer picture.
| Dimension | CrewAI | All agentic |
|---|---|---|
| Hybrid | 53.4% | 48.9% |
| Remote | 37.9% | 32.0% |
| Onsite | 8.6% | 19.1% |
| Senior | 46.6% | 47.8% |
| Lead+ | 24.1% | 16.9% |
| Full-time | 98.3% | — |
| Visa sponsored | 5.2% | — |
Staff-and-above hires land at 24.1% of the CrewAI cohort, well above the 17% market average. Almost no onsite-only listings. Almost no contract work. Hybrid CrewAI roles outnumber remote ones, and senior CrewAI roles are the largest seniority bucket. European enterprise profile, not US remote-first startup profile.
The production stack
93% of CrewAI jobs require Python. Just under half require Docker. 43% require Kubernetes, 43% AWS, 38% Azure, 36% GCP. These are enterprise production environments.
| Technology | Jobs | % of CrewAI |
|---|---|---|
| Python | 54 | 93.1% |
| Docker | 27 | 46.6% |
| Kubernetes | 25 | 43.1% |
| AWS | 25 | 43.1% |
| Azure | 22 | 37.9% |
| GCP | 21 | 36.2% |
| Pinecone | 17 | 29.3% |
| Weaviate | 15 | 25.9% |
| MCP | 10 | 17.2% |
| TypeScript | 10 | 17.2% |
| FastAPI | 9 | 15.5% |
| PyTorch | 8 | 13.8% |
| Terraform | 6 | 10.3% |
Multi-cloud is the default. AWS 43%, Azure 38%, GCP 36%. Many CrewAI roles tag two or three cloud vendors in the same listing. Pinecone and Weaviate together cover more than half of the cohort as the vector-store layer. MCP shows up in 17% of CrewAI listings, the same share as the broader LangChain ecosystem. This is not a framework people are asked to run in a notebook.
CrewAI is never the whole stack
0 of 58 CrewAI jobs list CrewAI alone. Every single one pairs CrewAI with at least one other framework. The average CrewAI listing mentions 3.71 frameworks.
| Co-framework | Jobs | % of CrewAI jobs |
|---|---|---|
| LangChain | 47 | 81.0% |
| LangGraph | 44 | 75.9% |
| AutoGen | 32 | 55.2% |
| LlamaIndex | 15 | 25.9% |
| Semantic Kernel | 3 | 5.2% |
Read the co-occurrences as vocabularies. CrewAI for role-based crews. LangGraph for graph-state orchestration. AutoGen for conversational orchestration. Hiring managers expect an engineer who can speak all three. One note on AutoGen: Microsoft pivoted its strategic focus to Microsoft Agent Framework in late 2025, and AutoGen is now in mostly-bug-fix mode. Two of our CrewAI jobs already list Microsoft Agent Framework, which tracks with where the wind is blowing.
The JD vocabulary is CrewAI's vocabulary
Pull the workflow descriptions on a sample of CrewAI listings and the same words come up across different employers in different countries in different industries.
Architect multi-agent orchestration using models like Gemini, Claude, LLaMA, and Mistral. Develop agent roles, memory systems, and inter-agent communication protocols.
— Capgemini, Agentic AI Developer
Design autonomous AI agents for cybersecurity, architect multi-agent systems with collaboration/delegation/escalation patterns.
— Citi, Senior AI Security Engineer
Build agent orchestration (single and multi-agent) with planning, tool routing, shared/persistent memory, and inter-agent communication.
— Natera, Senior AI/ML Engineer
“Agent roles”, “inter-agent communication”, “delegation/escalation patterns”, “tool routing”, “shared memory”. That vocabulary comes straight from CrewAI's own documentation. Hiring managers at a French consultancy, a US bank, and a healthcare-genomics company are independently reaching for the same words. That's mindshare on the demand side of the market, not just the supply side.
Why this matters now
Gartnerprojects 40% of enterprise applications will include task-specific agents by end of 2026, up from less than 5% in 2025. The same release warns that over 40% of agentic AI projects will be canceled by the end of 2027. Both are true at once. The hiring numbers above are the leading edge of the first part. LinkedIn's 2026 “Jobs on the Rise” report ranks AI Engineer as the #1 fastest-growing role in the US, with AI-related hiring nearly doubling since 2023.
The European regulatory calendar matters for framework choice. The EU AI Act's general-purpose model obligations have been in effect since August 2025, and the bulk of Annex III high-risk enforcement (employment, credit, law enforcement, essential services) starts August 2, 2026. Member states must have an AI regulatory sandbox live by the same date. For a Citi, a Nordea, or a Capgemini client in a regulated sector, an agent system where each agent declares its role, goal, and handoff behavior is cheaper to audit than a freeform graph or an open-ended conversational stack. That's an inference grounded in the regulation, not a CrewAI marketing claim. But it's a structural reason the European hiring concentration is likely to deepen, not reverse. If you're hiring agentic AI engineers in this regulatory window, our agentic AI engineer interview guide covers the questions that map to it.
What to do with this
If you're an engineer looking at CrewAI work:
- Look at London, Warsaw, Madrid, Berlin, Budapest, and Tallinn before San Francisco. 62% of CrewAI jobs are in Europe and Central/Eastern Europe punches above its weight.
- Ship CrewAI alongside LangGraph and AutoGen. 76% and 55% of CrewAI JDs want both.
- Learn the production stack employers actually write: Python, Docker, Kubernetes, Pinecone or Weaviate, at least two of AWS / GCP / Azure.
If you're on the CrewAI team:
- Enterprise Europe is still the wedge. SAP, Capgemini, Citi, Binance, Nordea, and Tenable are in the data. Capgemini cross-validates against your own public customer list.
- Hiring-manager JDs already use your vocabulary. “Agent roles”, “inter-agent communication”, “delegation and escalation” are how employers describe the work, not just how you document it. That's demand-side mindshare.
Methodology
Dataset: 534 published agentic AI engineering job listings on agentic-engineering-jobs.com as of April 19, 2026. Framework tags come from a mix of human curation and parsing each listing's description. Salary section uses 13 CrewAI roles with USD-denominated pay disclosed. Every figure here is reproducible against the public job data at /api/v1/jobs and the aggregate stats at /api/v1/stats.
External sources: Gartner, EU AI Act, CrewAI AOP announcement, CrewAI enterprise traction.
See also: our LangChain job market 2026 analysis.
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