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Entry Level Ai Agent Developer Jobs (NOW HIRING)

JOB SUMMARY The AI Agent Developer is responsible for designing, building, deploying, and maintaining AI agents and agent-enabled workflows that support enterprise productivity, decision support, and ...

We are seeking a curious, motivated, and innovative AI Agent Developer Intern who is eager to build intelligent solutions in a fast-paced, collaborative team environment. Our team values learning ...

We are seeking a curious, motivated, and innovative AI Agent Developer Intern who is eager to build intelligent solutions in a fast-paced, collaborative team environment. Our team values learning ...

As an AI Agent Developer , you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to ...

As an AI Agent Developer , you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to ...

Senior AI Agent Engineer

$107K - $146K/yr

Senior AI Agent Engineer Remote - United States Contract Position 6+ Months An innovative organization specializing in AI and investment technology is seeking a Senior AI Agent Engineer to design and ...

$117 - $173/hr

The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations. We are seeking a talented and motivated AI Agent & Automation ...

AI Agent Engineer

Boca Raton, FL · On-site

$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 · On-site

$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 ...

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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.

More about Entry Level Ai Agent Developer jobs

What cities are hiring for Entry Level Ai Agent Developer jobs?

Cities with the most Entry Level Ai Agent Developer job openings:

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

The most popular types of Ai Agent Developer jobs are:

What states have the most Entry Level Ai Agent Developer jobs?

States with the most job openings for Entry Level Ai Agent Developer jobs include:

What job categories do people searching Entry Level Ai Agent Developer jobs look for?

The top searched job categories for Entry Level Ai Agent Developer jobs are:

Infographic showing various Entry Level Ai Agent Developer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Full-time

Posted 8 days ago


HonorHealth rating

7.8

Company rating: 7.8 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

130th of 895 rated healthcare providers


Job description

Primary City/State:

Virtual Arizona

Category:

Data Intelligence

Shift:

Day

Department:

Augmented Intelligence

Hours: Monday-Friday Days

Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.)

At HonorHealth, you'll find something special. From humble beginnings in 1927 to one of Arizona's largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most - caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The AI Agent Developer is responsible for designing, building, deploying, and maintaining AI agents and agent-enabled workflows that support enterprise productivity, decision support, and process execution at HonorHealth. This role focuses on converting business use cases into reliable, governed AI systems that can reason over context, interact with approved knowledge sources, call tools or services, and support multi-step work. The AI Agent Developer operates at the application and workflow layer rather than the model research layer. This role partners with business stakeholders, AI Trainers, software engineers, analysts, and governance partners to build agent capabilities that are secure, measurable, maintainable, and aligned with real operational needs. The role is accountable for agent design, integration, testing, reliability, and controlled deployment across approved enterprise use cases.

ESSENTIAL FUNCTIONS
  • Agent Design and Development:Design and build AI agents and agent-enabled workflows using approved enterprise platforms, APIs, orchestration tools, and large language model capabilities. Translate business requirements into agent logic, task definitions, prompt structures, decision paths, and interaction patterns. Develop agent behaviors for multi-step reasoning, content retrieval, workflow support, and task execution within approved boundaries. Configure agent inputs, outputs, memory patterns, permissions, and interaction rules based on intended use.
  • Tool, Data, and System Integration:Connect agents to approved enterprise tools, systems, APIs, knowledge bases, workflow platforms, and data sources. Build and maintain integrations that enable secure and reliable information retrieval or task support. Collaborate with technical teams to ensure connectivity, authentication, data flow, and architecture alignment support intended agent behavior. Help define reusable patterns for agent integration across multiple use cases.
  • Testing, Evaluation, and Reliability:Develop and execute test plans for AI agent behavior, edge cases, workflow reliability, and failure recovery. Monitor agent outputs, tool calls, workflow consistency, and production behavior to identify issues, drift, or reliability concerns. Debug agent failures, integration errors, prompt breakdowns, or logic conflicts and implement corrective improvements. Support controlled rollout and stabilization of new agent capabilities.
  • Governance, Security, and Guardrails:Ensure agent configurations operate within approved governance, access, privacy, and security boundaries. Implement controls that support safe use, role-based access, escalation limits, and transparent handling of sensitive information. Partner with governance, privacy, compliance, or security stakeholders when agent workflows intersect with regulated or high-risk use cases. Document intended scope, limitations, approved sources, and operational guardrails for deployed agents.
  • Documentation and Technical Standards: Create and maintain technical documentation for agent architecture, integration design, configuration logic, deployment steps, and change history. Support coding standards, reproducibility, maintainability, and reusable design patterns across agent implementations. Contribute to technical best practices for AI-enabled workflow development and lifecycle support.
  • Cross-Functional Collaboration and Improvement: Partner with AI Trainers, software engineers, analysts, product/initiative leads, and subject matter experts to improve deployed agent performance and utility. Translate feedback from users and stakeholders into technical enhancements, configuration changes, or architecture improvements. Support ongoing maturation of enterprise AI-agent capabilities through disciplined iteration and lessons learned.
  • Performs other duties as assigned

EDUCATION
  • Bachelors in Computer Science or 4 years equivalent experience, Software Engineering, Information Systems, Data Engineering, or related field Required
  • Masters in Computer Science, Artificial Intelligence, Data Science, or related field Preferred

EXPERIENCE
  • 2 years, Experience with APIs, application integration, cloud-based platforms, or workflow orchestration Required
  • 3 years, Software engineering, systems integration, workflow automation, AI application development, or related experience Required
  • , Experience with LLM-enabled applications, prompt design, retrieval patterns, agent frameworks, or tool-calling architectures Preferred
  • , Experience in healthcare, HR, or other regulated enterprise environments Preferred
  • , Experience with Microsoft Copilot Studio and/or Google Cloud Platform (GCP) AI tools Preferred

LICENSE AND CERTIFICATIONS
  • Relevant cloud, AI platform, or software engineering certifications Preferred

We're all in for your career.


What HonorHealth employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About HonorHealth

Sourced by ZipRecruiter

HonorHealth is a non-profit, local community healthcare system serving an area of 1.6 million people in the greater Phoenix area. The network encompasses six acute-care hospitals, an extensive medical group, outpatient surgery centers, a cancer care network, clinical research, medical education, a foundation, and community services with approximately 13,100 team members, 3,500 affiliated providers and nearly 700 volunteers. HonorHealth was formed by a merger between Scottsdale Healthcare and John C. Lincoln Health Network. HonorHealth's mission is to improve the health and well-being of those we serve.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

2014