Crewai

60 Crewai Jobs Hiring Near You

About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies and ...

Customer Success Manager, LATAM As a Customer Success Manager, LATAM at CrewAI, you will be the strategic partner for our growing portfolio of enterprise customers across Brazil and Latin America.

AI Agent Architect

San Francisco, CA · On-site

$200 - $250/hr

... CrewAI, and Autogen. You will build resilient task-delegation networks and advanced cognitive loops for enterprise operations. Key Responsibilities * Architect and build robust multi-agent systems ...

$200 - $250/hr

... CrewAI, and Autogen. You will build resilient task-delegation networks and advanced cognitive loops for enterprise operations. Key Responsibilities * Architect and build robust multi-agent systems ...

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents . * Design and implement RAG pipelines , vector search solutions, and embeddingbased retrieval ...

GenAI & Agentic AI Engineer

Dallas, TX · On-site

$125 - $150/hr

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents . * Design and implement RAG pipelines , vector search solutions, and embedding‑based retrieval ...

Sr. AI/ML Engineer

Austin, TX · On-site

$103K - $142K/yr

Experience with LangGraph, AutoGen, or CrewAI. * LLM Harnessing: Expertise in agentic loops, RAG, prompt engineering, and tool calling. * Preferred: Knowledge of MLOps, LLMOps, and platform ...

LangChain, CrewAI, AutoGen, Semantic Kernel, LangGraph * RAG, Embeddings & Prompt Engineering * Vector Databases (Pinecone, FAISS, Azure AI Search) * REST APIs & Microservices * Azure/AWS/GCP

Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or AutoGen * Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval ...

Gen. AI Engineer

Fort Worth, TX · On-site

$200 - $250/hr

Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies. * Create secure backend services and APIs using Python, FastAPI, Flask, or ...

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies. * Create secure backend services and APIs using Python, FastAPI, Flask, or ...

AI Lead/Architect

Chicago, IL · On-site

$57 - $78/hr

Responsibilities : • Build and orchestrate autonomous AI agents with multi-step reasoning, tool usage, and workflow chaining using frameworks like LangChain, CrewAI, AutoGen, Semantic Kernel, or ...

Showing results 21-40

Crewai Jobs Information

Infographic showing various job openings at Crewai in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, and 20% Remote job distribution.

Full-time

Re-posted 14 days ago


Job description

About CrewAI
CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies and a large open-source community. As we scale, great technical support is what keeps enterprise customers successful and keeps our engineers focused on building. This role owns that.
The Role
You're the senior technical anchor for enterprise support: the person who sets the standard for how we diagnose, resolve, and learn from customer issues, and who builds the process the function runs on. You'll work the hardest problems directly and define how support operates: triage, severity, escalation, and the feedback loop into product and engineering. You are not a proxy that forwards messages, but someone who deeply understands the product and resolves issues end-to-end.
Our focus right now is enterprise support. You'll be the senior technical line for our enterprise customers, reproducing and diagnosing problems, resolving what you can, and handing off what you can't with the full context engineering needs. As the most experienced person in the seat, you'll own the SLAs, severity model, and escalation paths the team operates on, and raise the technical quality of support across the board.
This role exists to make enterprise support excellent and to build the foundation it scales on. We're looking for someone who will set the technical bar, protect engineering's focus by filtering and enriching what reaches them, and build a customer experience that feels structured, fast, and trustworthy.
What You'll Do
  • Be the senior technical point of contact for enterprise customers, owning the hardest issues end-to-end and responding with clarity and speed.
  • Deeply use and know the product: Crews, Flows, the Control Plane well enough to resolve the majority of issues without escalating, and to spot bugs customers haven't even reported.
  • Reproduce, diagnose, and triage technical issues: read logs and traces, isolate root cause, and resolve directly where possible.
  • Own clean handoffs to engineering: when something must escalate, file a well-defined ticket with reproduction steps, context, and severity. Keep the handoff between the support and engineering systems coherent so engineers aren't re-reading threads to figure out what's being asked.
  • Define and own support SLAs, severity levels, and escalation paths so the loudest customer doesn't automatically become the highest priority - and continuously improve them.
  • Build and maintain the knowledge base, FAQs, and troubleshooting docs, and improve product docs where they make false assumptions about customer setup.
  • Set up structured customer onboarding so new enterprise users get to value quickly.
  • Close the loop: synthesize recurring issues and feedback into clear signal for product and engineering, and help set the direction support takes as it grows.

Requirements
What We're Looking For
  • 5+ years in technical support, developer support, solutions, or a similar customer-facing technical role, including time as a senior or anchor on the team.
  • Genuinely technical: comfortable reading logs, stack traces, and API responses; able to navigate Python and the command line; can reason about how a distributed system fails. You don't need to ship production features, but you need to hold a credible technical conversation with both developers and our own engineers.
  • Familiarity with LLMs, agents, or developer tools, or the ability to ramp quickly and use the product daily.
  • Strong written communication: you can explain a fix clearly and write a ticket an engineer can act on immediately.
  • Process ownership: you've defined triage rules, SLAs, severity models, or escalation paths before, not just followed them, and you can show how it raised the quality of support.
  • Empathetic, patient, and energized by helping people succeed; comfortable working independently and setting your own direction in a fast-paced remote startup.

Bonus: experience with support/issue tooling (ticketing systems, Linear, or similar); prior experience supporting an open-source developer community; experience standing up or overhauling a support function.