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Internship Ai Agent Developer Jobs (NOW HIRING)

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

Dayton, OH

$76K - $102K/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

Dayton, OH

$76K - $102K/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

Boca Raton, FL

$75K - $100K/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

Dayton, OH

$76K - $102K/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 Forward Deployed Engineer (AI Agent)

$107K - $146K/yr

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve ... Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD ...

Senior Forward Deployed Engineer (AI Agent)

OR · On-site +1

$104K - $143K/yr

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve ... Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD ...

Senior Principal AI Engineer

Austin, TX · On-site

$196K - $269K/yr

Senior Principal AI Agent Engineer The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we ...

Senior Principal AI Agent Engineer The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we ...

Senior Principal AI Engineer

Austin, TX

$124K - $171K/yr

Senior Principal AI Agent EngineerThe Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we ...

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Internship Ai Agent Developer information

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How much do internship ai agent developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for internship ai agent developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What types of projects do Internship AI Agent Developers typically work on, and how do these projects support learning and skill development?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What does an Internship AI Agent Developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

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

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.
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What cities are hiring for Internship Ai Agent Developer jobs? Cities with the most Internship Ai Agent Developer job openings:
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Infographic showing various Internship Ai Agent Developer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
AI Agent Engineer

$77K - $103K/yr

Full-time

Medical, Life

Posted 29 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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