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Intern Ai Agent Developer Jobs in Decatur, GA (NOW HIRING)

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 ...

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 ...

AI Agent Engineer

Alpharetta, GA

$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 ...

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 ...

AI Agent Engineer

Alpharetta, GA

$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 ...

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 ...

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 ...

Hands-on Experience ADK framework or similar agent framework * Hands-on Experience AI/LLM ... Agentic AI Engineer * Develop AI agents/chatbots with tool integration (APIs, databases, services)

AI Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Multi-agent collaboration * RAG/Vector databases * Autonomous task execution * IAM/Secure service integration * Agents interacting with clients APIs, data platforms, and operational systems * MCP ...

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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 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 key skills and qualifications needed to thrive as an Intern AI Agent Developer, and why are they important?

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 job categories do people searching Intern Ai Agent Developer jobs in Decatur, GA look for? The top searched job categories for Intern Ai Agent Developer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Intern Ai Agent Developer jobs? Cities near Decatur, GA with the most Intern Ai Agent Developer job openings:
AI Agent Engineer

$77K - $103K/yr

Full-time

Medical, Life

Posted 4 days ago


Job description

Are you excited to help operate and improve AI agents that deliver reliable, realworld outcomes in production environments?

Do you enjoy working at the intersection of automation, systems monitoring, and human oversight to ensure safe and highquality AI performance?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,

https://risk.lexisnexis.com

About the Team:

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.

We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.

About the Role:

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 continuous optimization of AI agents and agentbased workflows. The role emphasizes practical execution, system integration, monitoring, and governance controls rather than model development or research.

Responsibilities:

  • Support the operational design and execution of AI agents and multiagent workflows used across business and technology teams
  • Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors
  • Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability
  • Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources
  • Implement and maintain runtime guardrails, escalation paths, and humanintheloop controls to ensure safe and compliant AI operation
  • Investigate and resolve operational issues related to agent performance, data access, or system integration
  • Document workflows, configurations, and operational procedures to support repeatability and governance
  • Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities

Requirements:

  • 1-2 years of experience in a technical or operational role such as data operations, application support, system operations, or AI platform support
  • Basic understanding of AI concepts such as agents, prompts, workflows, APIs, and automation
  • Experience working with APIs, enterprise systems, or data integrations
  • Ability to monitor systems, analyze outputs, and identify patterns or anomalies
  • Strong attention to detail and a methodical approach to operating production systems
  • Clear written and verbal communication skills, including the ability to document processes and issues
  • Comfort working in environments that blend automation with human oversight and escalation

Preferred Qualifications:

  • Exposure to AI platforms, LLMbased systems, or automation tools
  • Experience working with guardrails, approval workflows, or humanintheloop processes
  • Familiarity with data governance, security, or compliance concepts
  • Experience supporting production environments with reliability or uptime considerations

What This Role Is (and Is Not)

This role is:

  • An operational, handson role focused on running and improving AI agents in production
  • A bridge between AI engineering, data, and business teams
  • Focused on reliability, quality, and safe execution

This role is not:

  • An AI research or modeltraining role
  • A traditional software engineering role
  • A pure data science or analytics position

Career Growth

This role provides a strong foundation for future growth into AI operations, platform engineering, reliability engineering, or advanced AI solution roles as enterprise AI adoption continues to scale.

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
  • Life Assurance Policies: Providing financial security for your loved ones.
  • Modern Family Benefits: Support for maternity, paternity, and adoption needs.
  • Long Service Award: Recognition for your dedication and loyalty.
  • Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
  • Flexible Benefits Plan : Offering you wider choice of services and products
  • Employee Assistance Program : Access support for personal and work-related challenges.
  • Flexible Working Arrangements: Balance work and personal life effectively.
  • Access to Learning and Development Resources: Empowering your professional growth.

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Ohio, the base pay range is $74,900 - $124,700. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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