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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 ...

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How much do ai agent developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai agent developer in Arizona is $44,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $47,500.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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 Ai Agent Developer jobs in Arizona?

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

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

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

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

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

Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $44,666 per year, or $21.5 per hour.

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

Value Spectrum Technologies LLC

Phoenix, AZ • On-site

Other

Posted 7 days ago

Key responsibilities

  • Design, develop, test, and maintain full-stack applications using Node.js, TypeScript, and React.

  • Develop functionality for API discovery, API inventory, API analysis, and API rationalization.

  • Leverage AI Agent tools / AI-powered developer tools for automation, code analysis, and documentation.

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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