AI Agent Developer

About the Role

We are seeking an AI Agent Developer to help build, test, and support enterprise conversational AI agents and the web applications that power them. This hybrid contract opportunity offers hands-on exposure to enterprise AI development, large-scale integrations, and modern software engineering practices.

• Location: New York, NY (Hybrid – 3 days onsite, 2 days remote)
• Status: Contract through June 30, 2027 (potential extension)
• Pay Rate: $40–$48 per hour (W2)
• Work Arrangement: Hybrid, with three days onsite and two days remote per week.
• Interview Process: First round via Microsoft Teams; second round onsite in New York, NY.

Key Responsibilities

Conversational AI and Backend Development

• Build, configure, and test conversational flows, intents, route groups, and LLM-powered tools using Dialogflow CX.
• Contribute to AI agent development using Google's Agent Development Kit (ADK) and related frameworks.
• Develop and maintain REST APIs, webhooks, and backend services using Python, with exposure to .NET or Node.js.
• Integrate conversational AI agents with enterprise platforms, including ServiceNow and Microsoft Azure.
• Write SQL queries to support agent lookups, reporting, and conversational analytics.

Front-End and Web Application Development

• Develop responsive, accessible web interfaces using HTML, CSS, JavaScript, and TypeScript.
• Work with modern front-end frameworks such as React or Angular.
• Integrate web components with backend services and AI agent APIs.
• Implement browser-based session handling, loading states, and error handling.
• Support internal dashboards, analytics pages, testing tools, and administrative interfaces.

Testing, DevOps, and Delivery

• Maintain and improve Azure DevOps CI/CD pipelines for agent configurations, backend services, and front-end applications.
• Update YAML pipeline configurations with appropriate engineering review.
• Develop and execute unit tests, API tests, conversational flow regression tests, and front-end component tests.
• Troubleshoot software defects, investigate failed test runs, document findings, and escalate issues when necessary.
• Participate in Agile ceremonies, including sprint planning, daily standups, backlog refinement, and Program Increment (PI) planning within a SAFe environment.
• Maintain technical documentation, API specifications, agent flow designs, and operational runbooks.

Requirements & Tech Stack

Core Technologies & Tools

• AI and Cloud: Google Cloud Platform (GCP), Dialogflow CX, Google Agent Development Kit (ADK), Microsoft Azure
• Backend: Python 3.x, .NET/C#, Node.js, REST APIs, webhooks
• Frontend: HTML5, CSS3, JavaScript, TypeScript, React, Angular
• Data: SQL, JSON, conversational analytics
• DevOps and Testing: Azure DevOps, YAML pipelines, Git, PyTest, Jest, xUnit, API and UI testing
• Enterprise Integration: ServiceNow REST APIs, Flow Designer
• Agile and Development Tools: SAFe, Jira, Azure Boards, Visual Studio Code

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Python Programming Proficiency is required.
• Working knowledge of .NET and front-end technologies, including HTML, CSS, JavaScript, or TypeScript.
• Understanding of REST APIs, JSON, webhooks, browser-based API integration, and the Model Context Protocol (MCP).
• Basic to intermediate SQL query-writing skills.
• Experience using Git and a modern IDE, such as Visual Studio Code.
• Exposure to unit testing frameworks such as PyTest, Jest, or xUnit.
• Strong analytical, troubleshooting, written communication, and collaboration skills.
• Willingness to learn, ask questions, accept feedback, and work collaboratively with senior engineers.

Preferred Qualifications

• Hands-on exposure to Dialogflow CX, conversational AI, chatbots, generative AI, or LLM-powered applications (academic and personal projects welcome).
• Familiarity with Google's Agent Development Kit (ADK) or other AI agent development frameworks.
• Basic understanding of prompt engineering, intent classification, and conversational design.
• Exposure to front-end testing tools such as Jest, Selenium, Playwright, or Cypress.
• Familiarity with Azure DevOps, CI/CD pipelines, Git repositories, and automated deployment processes.
• Exposure to .NET/C#, ServiceNow REST APIs, or ServiceNow Flow Designer.
• Understanding of OAuth 2.0, API keys, secrets management, CORS, and XSS prevention.
• Awareness of Agile and SAFe development practices.
• Familiarity with Docker, Kubernetes, Terraform, or infrastructure as code.
• Exposure to serverless platforms such as Google Cloud Run or Azure Functions, or Contact Center AI (CCAI).
• Interest in site reliability engineering (SRE), observability, monitoring, and AIOps.