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Crewai Jobs in Virginia (NOW HIRING)

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 ...

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$155 - $200/hr

Pythonproficiencyand familiarity with librariesand frameworks(uv,Pydantic,FastAPI,CrewAI,LangChain,LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with emerging AI ...

Credence

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. * Exposure to adjacent skillsets such as data science, UI/UX, cloud ...

Credence

Data Engineer

Mclean, VA

$115K - $139K/yr

Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. * Exposure to adjacent skillsets such as data science, UI/UX, cloud ...

Credence

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. * Exposure to adjacent skillsets such as data science, UI/UX, cloud ...

Credence

Senior AI Software Engineer

Mclean, VA

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Twenty Technologies, Inc

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

Pydantic-AI, LangChain/LangGraph, CrewAI * Infra: Docker, Kubernetes; cloud platforms (AWS, GCP, Azure) * Experiment and artifact tracking: dataset/prompt/model versioning Security / Work Environment ...

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Crewai information

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.

What are the key skills and qualifications needed to thrive as a crewAI 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 are popular job titles related to Crewai jobs in Virginia?

For Crewai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Crewai jobs in Virginia look for?

The top searched job categories for Crewai jobs in Virginia are:

What cities in Virginia are hiring for Crewai jobs?

Cities in Virginia with the most Crewai job openings:

Crewai jobs near you
Infographic showing various Crewai job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

AWS AI Engineer

Merican

Herndon, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Role: AWS AI Engineer
Location: Herndon, VA
Work Mode: Onsite
About the Role
We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in deploying, scaling, and maintaining AI/ML workloads in production environments, along with experience in modern AI frameworks and platform engineering.
Certification Requirements (At least one required)
  • Active AWS Solutions Architect Certification
  • AWS Certified AI Foundations or AWS Certified AI Professional
  • Certified Kubernetes Administrator (CKA) - Active certification
Key Responsibilities
  • Deploy, manage, and troubleshoot Kubernetes clusters, including disconnected installations
  • Design, deploy, and upgrade Amazon EKS clusters in production environments
  • Perform advanced troubleshooting for EKS and Kubernetes-based systems
  • Implement and manage LLMOps workflows, including deployment, monitoring, and scaling of Generative AI systems
  • 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-Augmented Generation (RAG) pipelines for performance and scalability
  • Implement AI governance frameworks, including security guardrails and cost optimization strategies
  • Build and support Internal Developer Platforms (IDP) for AI use cases
Must-Have Skills
  • Strong Kubernetes expertise (installation, administration, troubleshooting)
  • Extensive hands-on experience with Amazon EKS (deployment, upgrades, troubleshooting)
  • Proven experience with LLMOps and production-grade Generative AI systems
  • Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen)
  • Hands-on experience with vector databases and RAG architectures
  • Knowledge of AI governance, security guardrails (e.g., NeMo Guardrails), and cost control for LLMs
  • Experience building AI-focused Internal Developer Platforms
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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