CrewAI Job Market 2026: Why 72% of CrewAI Jobs Are in Europe
We analyzed 592 agentic engineering listings on our job board. CrewAI's biggest hiring market isn't Silicon Valley. It's Europe. 29.8% of CrewAI employers are named enterprises. And 0 of 47 CrewAI jobs ask for CrewAI alone.
April 14, 2026
CrewAI jobs in EU
72.3%
vs 12.8% in the US
Named enterprises hiring
29.8%
2x the LangChain rate
Mid USD salary
$178,495
top of the framework cohort
Jobs listing CrewAI alone
0 / 47
avg 3.62 frameworks per role
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 592 published listings. 47 of them 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 looks like a European enterprise framework. Citi, SAP, Capgemini, EY, Accenture, Binance, Booking.com, Nordea, Cohere. Hybrid senior staff. Containerized, multi-cloud, Python-only production stacks. UK, Poland, Spain, Germany at the top of the country list.
The geographic flip
72.3% of CrewAI-tagged jobs are in the EU. 12.8% are in the US. This is the starkest regional skew of any major agentic framework in our dataset.
| Region | CrewAI % | LangChain % | All agentic % |
|---|---|---|---|
| EU | 72.3% | 65.4% | 48.5% |
| US | 12.8% | 21.8% | 42.7% |
| APAC | 8.5% | 8.3% | 4.7% |
| Global | 4.3% | 3.0% | 3.2% |
| LatAm | 2.1% | 1.5% | 0.8% |
LangChain is already Europe-weighted. The overall agentic market splits roughly evenly. CrewAI bends further. US CrewAI listings in absolute terms: 6 jobs. Six.
Two structural reasons this isn't noise. CrewAI publishes a Fortune 500 customer list featuring Capgemini, PwC, IBM, and NVIDIA, and Capgemini shows up three times 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 Kingdom | 7 |
| Poland | 7 |
| Spain | 6 |
| United States | 6 |
| Germany | 4 |
| Hungary | 3 |
| Estonia | 3 |
| Brazil | 3 |
| Sweden | 3 |
| Singapore | 1 |
Poland ties the UK. Hungary and Estonia each match or beat Germany. Central and Eastern Europe is earned ground for CrewAI, not a rounding error. 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
We took a curated list of 34 known large employers (Fortune 500, global consultancies, major banks, major enterprise SaaS) and matched it against employer names on every framework-tagged listing. 29.8% of CrewAI listings match. The LangChain rate is 15.0%.
| Framework cohort | Enterprise hits | Total | Enterprise % |
|---|---|---|---|
| CrewAI | 14 | 47 | 29.8% |
| LangChain | 20 | 133 | 15.0% |
The logos in the CrewAI cohort span finance, consulting, enterprise software, and security. Citi has 3 roles including a Senior AI Security Engineer. SAP has 3. Binance has 3. Capgemini plus Capgemini Invent together have 3. Then EY, Accenture, Cohere, Booking.com, Nordea, Tenable, Veriff, Natera, and Eigen Labs (crypto infrastructure, top USD pay in cohort at $253k).
Capgemini is the cross-validation. The company appears three times 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, EY, and Accenture write a specific framework into senior job descriptions, it's because clients are asking for it by name.
Salary: top of the framework cohort
Average mid-point USD salary for CrewAI roles with disclosed USD pay lands at $178,495. That's above AutoGen, LlamaIndex, and LangChain for the same framework-specialist comparison.
| Framework | Sample | Avg min | Avg max | Avg mid | Median mid |
|---|---|---|---|---|---|
| CrewAI | 17 | $155,371 | $201,619 | $178,495 | $185,333 |
| AutoGen | 15 | $148,400 | $200,867 | $174,633 | $185,333 |
| LlamaIndex | 21 | $137,300 | $196,400 | $166,850 | $161,250 |
| LangChain | 52 | $136,760 | $191,647 | $164,203 | $175,000 |
| All agentic (USD) | 290 | $185,738 | $270,755 | $228,353 | $230,200 |
Sample is 17 USD-denominated CrewAI roles. Read this as “where CrewAI pay is disclosed in USD”, not as a universal claim.
Top of the CrewAI cohort: Eigen Labs (senior, $187k–$253k, crypto infrastructure), Varick Agents ($220k–$250k), Tenable ($159k–$212k), Natera ($126k–$157k).
The framework-tagged cohort sits below the $228k all-agentic mid for a structural reason. Un-tagged agentic roles pull in FAANG and unicorn listings paying $300k and up, where the JDs describe the outcome (“build agent platform”) without naming tools. Framework-specific listings skew mid-market and enterprise. The useful comparison is within that tier, and CrewAI leads it.
Hybrid, senior, full-time. The enterprise shape.
The work arrangement data matches the employer picture.
| Dimension | CrewAI | All agentic |
|---|---|---|
| Hybrid | 59.6% | 49.0% |
| Remote | 34.0% | 31.3% |
| Onsite | 6.4% | 19.8% |
| Senior | 53.2% | 49.7% |
| Lead+ | 10.6% | 7.8% |
| Full-time | 97.9% | — |
| Visa sponsored | 4.3% | — |
Staff-level hires at established employers, in an office some days a week. Almost no onsite-only listings. Almost no contract work. Hybrid CrewAI roles outnumber remote ones, and senior CrewAI roles outnumber every other seniority bracket. This is the European enterprise profile, not the US remote-first startup profile.
The production stack
Every CrewAI job in our dataset requires Python. 51% require Docker. 47% require Kubernetes. Nearly half require AWS. A third require Azure. These are enterprise production environments.
| Technology | Jobs | % of CrewAI |
|---|---|---|
| Python | 47 | 100.0% |
| Docker | 24 | 51.1% |
| Kubernetes | 22 | 46.8% |
| AWS | 22 | 46.8% |
| GCP | 19 | 40.4% |
| Azure | 17 | 36.2% |
| Pinecone | 13 | 27.7% |
| Weaviate | 12 | 25.5% |
| TypeScript | 9 | 19.1% |
| FastAPI | 8 | 17.0% |
| Terraform | 6 | 12.8% |
| vLLM | 5 | 10.6% |
Multi-cloud is the default. AWS 47%, GCP 40%, Azure 36%. Many CrewAI roles tag two or three cloud vendors in the same listing. Pinecone and Weaviate together sit in more than half of CrewAI jobs as the vector store layer. This is not a framework people are asked to run in a notebook.
CrewAI is never the whole stack
0 of 47 CrewAI jobs list CrewAI alone. Every single one pairs CrewAI with at least one other framework. The average CrewAI listing mentions 3.62 frameworks.
| Co-framework | Jobs | % of CrewAI jobs |
|---|---|---|
| LangChain | 40 | 85.1% |
| LangGraph | 33 | 70.2% |
| AutoGen | 28 | 59.6% |
| LlamaIndex | 12 | 25.5% |
| Semantic Kernel | 3 | 6.4% |
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 engineers in this regulatory window, our agentic 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. 72% of CrewAI jobs are in Europe and CEE punches above its weight.
- Ship CrewAI alongside LangGraph and AutoGen. 70% and 60% 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 already the wedge. Citi, SAP, Capgemini, Binance, EY, Nordea, Cohere, and Booking.com 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: 592 published agentic engineering job listings on agentic-engineering-jobs.com as of April 14, 2026. Framework tags come from a mix of human curation and parsing each listing's description. Salary section uses 17 CrewAI roles with USD-denominated pay disclosed. The enterprise cohort is a curated list of 34 named large employers (Fortune 500, Big Four consultancies, major banks, major enterprise SaaS) matched by employer name. 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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