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Crewai Jobs in Georgia (NOW HIRING)

... CrewAI, OpenAI agents, or similar frameworks. • Experience with multi-modal data and intelligent agent-based tools. • Ability to develop prototypes, PoCs, MVPs using one or more of the following ...

Work with AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies under the guidance of senior team members. * Assist with testing, debugging, documentation, and performance ...

AI Solution Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Semantic Kernel, Azure AI Foundry, Copilot Studio, LangGraph, LangChain, AutoGen, or CrewAI * Strong understanding of SDLC, DevOps, CI/CD, testing, and enterprise architecture principles * Experience ...

AI and Fabric Engineer

Atlanta, GA · On-site

$110K - $130K/yr

LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent * orchestration frameworks. * LLM / GenAI: Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt ...

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks. * Build the retrieval layer powering our ...

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks. * Build the retrieval layer powering our ...

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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 Georgia?

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

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

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

What cities in Georgia are hiring for Crewai jobs?

Cities in Georgia with the most Crewai job openings:

Infographic showing various Crewai job openings in Georgia as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Agentic AI Engineer / Multi-Agent Architect - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 26 days ago


Job description

Overview:
Job Title: Agentic AI Engineer / Multi-Agent Architect
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: R2 Technologies is seeking an Agentic AI Engineer to build the next frontier of autonomous software. Instead of building static applications, you will design autonomous agents capable of independent planning, tool usage, and cross-agent delegation. You will be instrumental in developing systems that can reason through complex, multi-step workflows, debug their own errors, and execute tasks without human intervention to power our proprietary platforms and enterprise client solutions.
Key Responsibilities: * Design and orchestrate multi-agent architectures that allow LLMs to collaborate, delegate tasks, and execute complex business workflows.
  • Build custom tools, functions, and API integrations that autonomous agents can trigger independently (e.g., executing code, querying databases, triggering webhooks).
  • Utilize cutting-edge frameworks like LangChain, CrewAI, AutoGPT, or Microsoft Semantic Kernel to structure agentic logic and memory streams.
  • Develop robust evaluation frameworks to score agent performance on reasoning, tool selection accuracy, and loop-termination conditions.
  • Leverage AI coding assistants (GitHub Copilot, Cursor) to rapidly iterate on prompt engineering, agent state management, and boilerplate system logic.
  • Collaborate with backend and data engineers to ensure agents have secure, low-latency access to enterprise databases and IoT telemetry.

Qualifications: * Up to 3 years of software engineering experience, with a heavy emphasis on Python, AI integration, or multi-agent systems.
  • Deep understanding of Large Language Models (Claude, OpenAI, Grok) and advanced prompt engineering (Chain-of-Thought, ReAct frameworks).
  • Hands-on experience with agent orchestration frameworks (LangChain, LangGraph, CrewAI, LlamaIndex).
  • Proven experience working alongside AI coding assistants to enhance productivity.
  • Familiarity with REST/GraphQL API design and enabling LLMs to interact with external tools via function calling.
  • Excellent problem-solving skills and a passion for pushing the boundaries of autonomous software capabilities.

Skills:
agentic,Github