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Commission Ai Agent Developer Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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 ...

... 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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Commission Ai Agent Developer information

What is a Commission AI Agent Developer?

Commission AI Agent Developers are professionals who design, build, and deploy artificial intelligence (AI) agents that operate on a commission-based model. These developers create AI systems—such as chatbots, sales agents, or customer service bots—that help automate tasks and drive results, often earning a commission or fee based on the performance or outcomes generated by their agents. They typically possess skills in AI programming, machine learning, and automation, and work with clients to tailor solutions that meet specific business goals. The demand for Commission AI Agent Developers is growing as more businesses adopt AI-driven technologies to enhance productivity and sales. Their work often involves continuous optimization and monitoring to ensure the AI agents remain effective and profitable.

How does a Commission AI Agent Developer typically collaborate with sales and marketing teams to optimize agent performance?

As a Commission AI Agent Developer, you will frequently work alongside sales and marketing teams to tailor AI agents that effectively engage prospects and customers. This collaboration involves gathering feedback on agent interactions, analyzing performance metrics, and iterating on conversational scripts or algorithms to drive conversions. Regular meetings and data sharing ensure that the AI agents align with evolving business goals and customer preferences, making cross-functional communication a key aspect of the role. This dynamic environment allows you to see the direct impact of your work on sales outcomes while also fostering your own technical and business skills.

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

To thrive as a Commission AI Agent Developer, you need strong programming skills (often in Python), experience with machine learning frameworks, and a solid understanding of AI concepts, typically backed by a relevant degree or equivalent experience. Familiarity with AI development tools such as TensorFlow, PyTorch, and cloud platforms like AWS or Azure is commonly required. Exceptional problem-solving abilities, adaptability, and clear communication set candidates apart in this role. These skills are crucial for building effective AI agents that meet client needs and drive successful commission-based projects.

What is the difference between Commission Ai Agent Developer vs Chatbot Developer?

AspectCommission Ai Agent DeveloperChatbot Developer
Required CredentialsBachelor's in Computer Science, AI certificationsBachelor's in Computer Science, AI or software development certifications
Work EnvironmentAI development teams, financial or sales industriesCustomer service, tech companies, various industries
Employer & Industry UsageFinancial services, sales automationCustomer support, marketing, e-commerce
Comparison Search IntentUnderstanding AI-driven commission systemsBuilding conversational agents for customer interaction

The main difference is that Commission Ai Agent Developers focus on creating AI systems that automate commission calculations and sales processes, often within financial or sales industries. Chatbot Developers design conversational agents for customer support or engagement across various sectors. While both roles involve AI and programming skills, their applications and industry focus differ significantly.

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

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

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

Value Spectrum Technologies LLC

Phoenix, AZ • On-site

Other

Posted 2 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.