AI Agent Developer

Primary Responsibilities

• Design, build, configure, train, and test conversational AI agents using Google Cloud Platform, GECX/Dialogflow CX, and Vertex AI.
• Develop conversational flows, intents, route groups, state handling, fulfillment services, and LLM-powered agent capabilities.
• Build REST APIs, webhooks, microservices, and asynchronous workflows using Python, .NET/C#, Node.js, TypeScript, and JavaScript.
• Integrate AI agents with ServiceNow and Microsoft Azure enterprise platforms and services.
• Design and maintain automated CI/CD pipelines in Azure DevOps, including testing, validation, deployment, and release automation.
• Develop automated test frameworks covering unit testing, API testing, conversational flows, regression testing, and end-to-end user journeys.
• Write and optimize complex SQL queries to support agent workflows, reporting, analytics, and backend data operations.
• Troubleshoot complex application, integration, and conversational AI issues across cloud and enterprise systems.
• Implement context management, session variables, prompt engineering, intent classification, fallback logic, and human escalation workflows.
• Apply security best practices for APIs and cloud integrations, including OAuth2, RBAC, API security, and secrets management.
• Participate in Agile delivery activities, including sprint planning, backlog refinement, estimation, and cross-team coordination.
• Contribute to technical design decisions, code reviews, documentation, and continuous improvement initiatives.

Required Qualifications

• Proven experience designing and developing enterprise conversational AI agents or intelligent automation solutions.
• Strong hands-on experience with Google Cloud Platform and Dialogflow CX/GECX.
• Strong Python development experience.
• Extensive development experience with .NET/C#, TypeScript, and JavaScript/Node.js.
• Experience developing REST APIs, webhooks, microservices, and backend integrations.
• Hands-on experience building CI/CD pipelines using Azure DevOps, including YAML pipelines and automated testing/deployment.
• Strong experience with automated testing, including unit, integration, API, and regression testing.
• Experience integrating cloud applications with Microsoft Azure and ServiceNow.
• Strong SQL development skills, including complex queries, data manipulation, and performance optimization.
• Experience with Git-based source control and modern software development practices.
• Understanding of cloud security concepts, including OAuth2, RBAC, API security, and secrets management.
• Strong troubleshooting, communication, and problem-solving skills.

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