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Crewai Jobs (NOW HIRING)

Qode

Solution Architect

New York, NY · On-site

$69 - $90.75/hr

Architect end-to-end AI Agent solutions leveraging LLM and Agentic frameworks (LangChain, AutoGen, CrewAI) integrated with enterprise systems. * Design API-first and event-driven integration ...

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Guru Schools

AI Developer

Washington, DC · On-site

Build agentic AI solutions using AutoGen, CrewAI, and/or Agno, enabling secure tool-calling and multi-agent orchestration for troubleshooting and workflow automation. * Develop production-grade ...

Qode

AI / Agent Engineer

New York, NY · On-site

$16.50 - $22/hr

Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar). * Integrate LaunchDarkly for feature flagging, progressive rollouts ...

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Qode

AI / Agent Engineer

Manhattan, NY · On-site

$16.50 - $22/hr

KEY RESPONSIBILITIES * • Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar). * • Integrate LaunchDarkly for feature ...

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Inficare Technologies

AI Engineer

Manhattan, NY · On-site

Agentic AI and ML: • Integration of commercial and open-source LLMs into agentic workflows • Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with ...

Qode

Solution Architect

Jackson, NJ · On-site

$64 - $84.50/hr

KEY RESPONSIBILITIES * • Architect end-to-end AI Agent solutions leveraging LLM and Agentic frameworks (LangChain, AutoGen, CrewAI) integrated with enterprise systems. * • Design API-first and ...

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TUPPL Technology Inc

AI Agent Engineer

Manhattan, NY

$16.50 - $22/hr

KEY RESPONSIBILITIES • Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar). • Integrate LaunchDarkly for feature ...

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ImmunityBio, Inc.

Software Engineer, Full Stack

Work with LangChain, CrewAI, and LlamaIndex to build intelligent, context-aware user experiences and workflows. * Integrate and manage containerized services using Docker, Docker Compose, and ...

Arize AI

Product Solutions Lead, AI Partner Ecosystem

$129K - $170K/yr

You'll build deep relationships with product and solutions leaders at AWS, Google Cloud, Microsoft Azure, Databricks, NVIDIA, Anthropic, CrewAI, Vercel and the next wave of category-defining AI ...

Virtusa

Software Engineer

Jersey City, NJ

AGENTIC AI ENGINEER Architecting goal oriented , multi agent workflows using frameworks liek langGraph , CrewAI , Autogen etc Tool and API orchestration skills Integrate LLMs, RAG pipelines and ...

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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 May 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Agentic AI Engineer (Python)

Agentic AI Engineer (Python)

Intellectt INC

Atlanta, GA • On-site

Contractor

Posted 26 days ago

Job description

Hi

Hope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

  • Design and build agentic AI frameworks and intelligent workflows using LLMs.
  • Develop and integrate Python-based AI applications with internal systems and APIs.
  • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.
  • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.
  • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Optimize AI agents for scalability, performance, and accuracy in production environments.
  • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.

Required Skills & Experience:

  • Strong programming skills in Python and familiarity with AI/ML frameworks.
  • Proven experience developing LLM-driven or multi-agent AI systems.
  • Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.
  • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Nice to Have:

  • Experience in healthcare or insurance domain.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.
  • Exposure to MLOps or AI agent lifecycle management.