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Entry Level Ai Agent Developer Jobs in Atlanta, GA

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 ...

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 ...

Fullstory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160 - $170/hr

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory ... You have helped shape the AI agent platform's technical direction, from eval frameworks to MCP ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc)Create end-to-end production grade AI agents and integrate them into applicationsApply prompt engineering and context ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc) * Create end-to-end production grade AI agents and integrate them into applications * Apply prompt engineering and context ...

MacStadium

Technical Support Specialist

Atlanta, GA · On-site +1

$55K - $70K/yr

You own the rest: triage oversight for the AI agent, ticket lifecycle from new through solved, every escalation that goes to Orka development, platform engineering or product, and a defined set of ...

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Entry Level Ai Agent Developer information

What is an entry level AI agent developer?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What does an entry level AI agent developer do?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What are the key skills and qualifications needed to thrive as an entry level AI agent developer?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are the most commonly searched types of Ai Agent Developer jobs in Atlanta, GA?

The most popular types of Ai Agent Developer jobs in Atlanta, GA are:

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For Entry Level Ai Agent Developer jobs in Atlanta, GA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Ai Agent Developer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Entry Level Ai Agent Developer jobs?

Cities near Atlanta, GA with the most Entry Level Ai Agent Developer job openings:

Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 88% In-person, and 12% Remote job distribution.

AI Agent Developer

Atlanta, GA • On-site

Innovatix Technology Partners
See more jobs at Innovatix Technology Partnersexternal

Other

Posted 9 days ago

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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