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Crewai Jobs (NOW HIRING)

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 ...

Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

PostgreSQL/MySQL/MongoDB Git, CI/CD AI MLFrameworks CrewAI LangChain Machine Learning Deep Learning Generative AI AI Agents Design and develop scalable backend systems using Python and Golang Build ...

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 ...

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

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 ...

Senior AI Engineer

Irvine, CA · On-site

$129K - $171K/yr

LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI • Backend: APIs, microservices (e.g., Spring Boot, Node.js) • DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code Qualifications : Required ...

Sr GenAI Engineer

Chicago, IL · On-site

$107K - $147K/yr

Develop Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and LlamaIndex. * Implement prompt engineering strategies and fine-tune foundation models for business use ...

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.75 - $89.50/hr

Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI). * Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning. * Hands-on with ...

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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.

Is CrewAI paid?

CrewAI is a platform that offers paid opportunities for workers, typically compensating users for completed tasks or projects. Payment details and schedules vary depending on the specific role and task requirements.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director or senior machine learning executive, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What job makes $10,000 a month without a degree?

A crew member in certain industries, such as construction, maritime, or specialized trades, can earn around $10,000 a month with experience and skills, often without a formal degree. High-paying roles may also include sales, real estate, or entrepreneurship, which rely on performance and networking rather than formal education.

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.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, and significant experience, and may involve high-stakes environments or specialized skills. Freelance consulting, investment banking, and some tech project management roles can also reach this level with the right expertise and client base.
More about Crewai jobs
What cities are hiring for Crewai jobs? Cities with the most Crewai job openings:
What states have the most Crewai jobs? States with the most job openings for Crewai jobs include:
Infographic showing various Crewai job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
AWS AI Engineer

AWS AI Engineer

Merican

Herndon, VA • On-site

Other

Posted 26 days ago


Job description

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.

Merican logo

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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