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Intern Ai Agent Developer Jobs in Georgia (NOW HIRING)

RELX Group plc

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

RELX

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

RELX

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

Amcor

Intern - AI Innovation Engineer

Atlanta, GA · On-site

To learn more about playing for Team Amcor, visitwww.amcor.comILinkedInIGlassdoorIFacebook IYouTube About the role The AI Innovation Engineer Intern is responsible for defining, designing, and ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Palnar

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

We are seeking two GenAI Developers to join our AI Tools team, focused on building advanced ... Work with LLMs, agent-to-agent protocols, and orchestration frameworks to enable intelligent ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the most commonly searched types of Ai Agent Developer jobs in Georgia?

The most popular types of Ai Agent Developer jobs in Georgia are:

What are popular job titles related to Intern Ai Agent Developer jobs in Georgia?

For Intern Ai Agent Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Intern Ai Agent Developer jobs in Georgia look for?

The top searched job categories for Intern Ai Agent Developer jobs in Georgia are:

What cities in Georgia are hiring for Intern Ai Agent Developer jobs?

Cities in Georgia with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you
Infographic showing various Intern Ai Agent Developer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Agent Developer

Innovatix Technology Partners

Atlanta, GA • On-site

Other

Posted 2 days ago

New

Job description

We are seeking an AI Agent Developer to design, develop, test, and deploy intelligent AI Agents using Microsoft’s AI ecosystem. The primary focus of this role is building production-ready Agentic AI solutions that can be integrated with enterprise applications and deployed for operational use.

The ideal candidate has hands-on experience developing Agentic AI solutions using any AI platform, with Microsoft Copilot / Copilot Studio experience being a major plus. You should be comfortable working across AI development, cloud technologies, enterprise data, and Microsoft platforms while continuously learning and adapting to emerging AI technologies.

Key Responsibilities:

  • Design, develop, and deploy AI Agents and Agentic AI workflows for enterprise and operational use cases.
  • Build AI-powered solutions using Microsoft Copilot, Copilot Studio, Azure AI services, or comparable Agentic AI platforms.
  • Develop integrations between AI Agents and Microsoft products, SharePoint, APIs, enterprise applications, and business workflows.
  • Use Azure as the primary cloud platform for developing and deploying AI solutions.
  • Leverage Databricks and SQL to access, transform, analyze, and utilize enterprise data within AI solutions.
  • Use AI-assisted development tools for code generation, documentation, debugging, testing, and development productivity.
  • Develop and execute testing strategies to validate Agent behavior, accuracy, reliability, and performance.
  • Work with development and business teams to translate requirements into scalable AI Agent solutions.
  • Stay current with emerging Generative AI, LLM, Agentic AI, and Microsoft AI technologies and identify opportunities to incorporate them into solutions.
  • Troubleshoot and continuously improve AI Agents based on testing results and real-world performance.

Required Qualifications:

  • Hands-on experience developing Agentic AI / AI Agents using any AI platform or framework.
  • Strong understanding of Generative AI, LLMs, prompt engineering, AI orchestration, and tool/function calling.
  • Experience with Azure and cloud-based application development.
  • Good knowledge of Databricks and SQL.
  • Experience integrating applications or AI solutions with Microsoft products, SharePoint, APIs, or enterprise platforms.
  • Experience using AI tools to assist with software development and testing.
  • Strong problem-solving skills and ability to work in a rapidly evolving technology environment.
  • Ability and willingness to learn new AI platforms, frameworks, and technologies quickly.

Preferred Qualifications:

  • Hands-on experience with Microsoft Copilot Studio.
  • Experience building Agents within the Microsoft 365 / Power Platform ecosystem.
  • Experience with Azure OpenAI, Azure AI services, or Microsoft Foundry.
  • Experience with RAG, vector databases, knowledge grounding, or enterprise search.
  • Experience developing production-grade AI solutions with appropriate security, governance, monitoring, and testing practices.
  • Experience integrating AI Agents with SharePoint, Microsoft Graph, Databricks, SQL databases, or REST APIs.

Ideal Candidate: The ideal candidate is a hands-on AI/Agentic AI Developer who has already built AI Agents in a real-world environment and can adapt those skills to Microsoft’s ecosystem. You do not necessarily need prior Copilot Studio experience if you have strong Agentic AI development experience with another platform, but you should be comfortable learning new technologies quickly.

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