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Crewai Jobs (NOW HIRING)

Vytwo

GenAI & Agentic AI Engineer

Prosper, TX · On-site

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 ...

Tata Consultancy Service Limited

Engineer

Irvine, CA · On-site

$90K - $160K/yr

Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks * Experience with LangChain or LlamaIndex * Experience implementing LLM evaluation and observability frameworks

Metova

AI Engineer

Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar. * Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation ...

New

Merican

AWS AI Engineer

Herndon, VA · On-site

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 ...

eTeam

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 ...

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Crewai information

What are the key skills and qualifications needed to thrive as a Crew AI Engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a Crewai team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What is a Crewai?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.
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Crewai jobs near you
Infographic showing various Crewai job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Overseas Contractor

Futran Tech Solutions Pvt. Ltd.

Santa Clara, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Ability to lead the design and development using NVIDIA BluePrints NIMs NeMo frameworks and related offerings
Define and implement agentbased patterns leveraging frameworks such as using LangChain LangGraph CrewAI or Autogen or MS Semantic
Lead the integration of AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows
Ensure system designs meet enterprise requirements for security data privacy explainability and scalability
Develop solution blueprints and technical documentation for agentic approaches
Guide and mentor technical teams on GenAI and agentbased architectural considerations Deployment and CICD best practices
MUST Haves
Experience in Python programming along with writing REST APIs using FastAPIDjangoFlask Experience working with LangChain LangGraph libraries strong prompt engineering and toolcalling patterns
Agentic AI GenAI Application solutioningdevelopment using LangChain LangGraph CrewAI or Autogen or MS Semantic Kernel
Knowledge of Agentic AI concepts like A2A MCP
Data Stores ChromaDB vector MongoDB Neo4j
Security IAM federation Keycloak Entra ID secrets management network policies encryption complianceaware design
DevOps Jenkins or equivalent GitHubBitbucket Docker EFK logging
Secondary Skills Good to Have
Exposure to NVIDIA BluePrints NIMs and NeMo frameworks
Hugging Face ecosystem
Security SOC2ISO27001 DLPPII redaction strategies KMSKey Vault

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