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Internship Ai Agent Developer Jobs in Arizona (NOW HIRING)

Omega Hires

Java AI Developer / Lead

Phoenix, AZ · On-site

Strong knowledge of prompt engineering , AI orchestration, and model evaluation. * Experience with ... Knowledge of MCP (Model Context Protocol) or AI agent architectures. * Experience with Python for ...

Prosum Inc.

Manager - Application & AI Security

Scottsdale, AZ · On-site

$58.75 - $78.25/hr

Prompt-injection, jailbreak, and AI-agent security risks are regularly assessed. * Application and AI security practices are embedded into engineering workflows rather than operating as a separate ...

Infosys Limited

AI Engineer

Phoenix, AZ · On-site

$120 - $180/hr

... AI|Agent Engineering Technical Skills 3 Technical Skills 4 Technical Skills 5 Technology|DevOps|Continuous delivery - Continuous deployment and release Overview The Strategic Technology Group (STG ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

... Agent Engineering Technical Skills 3 Technology|AI Hyperscalers|AWS Agentic AI Services Technical Skills 4 Technology|Machine Learning|Generative AI Technical Skills 5 Technology|DevOps|Continuous ...

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Internship Ai Agent Developer information

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?

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.

What types of projects do internship AI agent developers typically work on?

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

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

What are popular job titles related to Internship Ai Agent Developer jobs in Arizona?

For Internship Ai Agent Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship Ai Agent Developer jobs in Arizona look for?

The top searched job categories for Internship Ai Agent Developer jobs in Arizona are:

What cities in Arizona are hiring for Internship Ai Agent Developer jobs?

Cities in Arizona with the most Internship Ai Agent Developer job openings:

Internship Ai Agent Developer jobs near you
Infographic showing various Internship Ai Agent Developer job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Software Engineer - Fullstack (Node js, Typescript, React & Agent AI Tools) || Hybrid in Phoe

Value Spectrum Technologies LLC

Phoenix, AZ • On-site

Other

Posted 3 days ago

New

Job description

Title: Senior Software Engineer - FullStack
Experience Required: 11+ Years

Location: Phoenix, AZ, Plano, TX & Remote

Employment Type: Contract W2 & C2C
Job Description:

We are looking for a highly skilled Full Stack Software Engineer with strong hands-on experience in Node.js, TypeScript, and React and experience using AI Agent tools to join an enterprise API Discovery, Inventory, and Rationalization workstream.

The engineer will design, develop, and maintain scalable full-stack applications that help discover, catalog, analyze, and rationalize APIs across an enterprise environment.

The ideal candidate will have strong experience building modern web applications and APIs and should have practical experience using AI Agent tools / AI-powered developer tools to improve software development, automation, code analysis, or application workflows.

Key Responsibilities
  • Design, develop, test, and maintain full-stack applications using Node.js, TypeScript, and React.
  • Develop scalable backend services, REST APIs, and microservices using Node.js and TypeScript.
  • Build responsive and user-friendly React applications, dashboards, and API inventory interfaces.
  • Develop functionality for API discovery, API inventory, API analysis, and API rationalization.
  • Integrate with existing APIs, API gateways, repositories, application platforms, and enterprise systems.
  • Develop capabilities to collect and manage API metadata such as API name, endpoint, owner, version, consumers, dependencies, usage, and lifecycle status.
  • Build features to identify duplicate, obsolete, unused, or redundant APIs.
  • Support API consolidation, modernization, deprecation, and retirement recommendations.
  • Work with OpenAPI/Swagger specifications and RESTful APIs.
  • Develop data processing and analysis workflows to support API discovery and inventory.
  • Leverage AI Agent tools / Agentic AI / AI-powered developer tools for automation, code analysis, API analysis, documentation, and engineering productivity.
  • Integrate AI-powered capabilities into application workflows where appropriate.
  • Write clean, maintainable, reusable, and well-tested code.
  • Participate in code reviews, technical discussions, debugging, and performance optimization.
  • Collaborate with architects, product owners, API teams, application teams, and other engineers.
  • Follow secure coding, CI/CD, testing, and modern software engineering practices.
Required Skills
  • Strong hands-on experience with Node.js.
  • Strong experience with TypeScript.
  • Strong experience with React / React.js.
  • Experience developing REST APIs and microservices.
  • Strong understanding of full-stack application development.
  • Experience working with API specifications such as OpenAPI / Swagger.
  • Experience integrating multiple APIs and enterprise applications.
  • Experience with Git and modern software development practices.
  • Experience with AI Agent tools, Agentic AI, AI coding assistants, or AI-powered developer tools.
  • Strong problem-solving and communication skills.
Preferred Skills
  • Experience with API Management platforms such as Apigee, Kong, MuleSoft, Azure API Management, or AWS API Gateway.
  • Experience with API catalogs, API portals, or API governance.
  • Experience with API discovery, API inventory, API modernization, or API rationalization.
  • Experience with microservices and cloud-native application development.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker/Kubernetes.
  • Experience with CI/CD pipelines.
  • Experience with OAuth 2.0, JWT, API security, and authentication.
  • Experience with databases such as PostgreSQL, MongoDB, or similar.
  • Experience working with LLMs, AI Agents, or agentic development frameworks.

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