Job Summary – AI Agent Developer
- Develop and test AI conversational agents using Google Cloud Platform (Dialogflow CX/GECX) and Google’s Agent Development Kit (ADK).
- Integrate agents with backend systems by creating and maintaining REST APIs, webhooks, and services in Python (.NET or Node.js), especially to connect with ServiceNow and Azure.
- Write SQL queries for agent lookups, reporting, and conversational analytics.
- Build responsive front-end interfaces using HTML, CSS, JavaScript/TypeScript with modern frameworks (e.g., React or Angular).
- Connect front-end components to backend services and agent APIs, handling loading states, errors, and sessions in the browser.
- Create dashboards and internal tools for agent analytics, test results, and admin tasks.
- Support CI/CD pipelines (Azure DevOps), updating YAML pipelines, and supporting automated build and deployment processes.
- Implement automated testing for APIs, webhooks, dialog flows, and front-end components.
- Troubleshoot bugs and test failures, document findings, and escalate issues as needed.
- Participate in Agile (SAFe) ceremonies such as sprint planning, standups, backlog refinement, and PI planning.
- Maintain up-to-date documentation for flow designs, APIs, UI components, and runbooks.
- Collaborate with senior engineers and cross-functional teams to ensure reliable delivery and deployment of features.
- Work on-site in Manhattan, NY (hybrid: 3 days/week) and participate in mandatory on-site interviews.
Required Skills:
- Proficiency in Python, .NET, HTML, CSS, JavaScript/TypeScript
- Experience with REST APIs, JSON, webhooks, SQL
- Exposure to unit testing frameworks
- Familiarity with Git, modern IDEs (e.g., VS Code)
- Strong written and verbal communication skills
Preferred Skills:
- Experience with Dialogflow CX, chatbots, LLM-based applications
- Knowledge of prompt engineering, intent classification
- Familiarity with Azure DevOps, ServiceNow, OAuth2, API security, and front-end testing tools
- Awareness of Agile/SAFe, containers, infrastructure as code, serverless platforms, and SRE/AIOps concepts
Environment/Tools:
- Google Cloud Platform (Dialogflow CX), Microsoft Azure, ServiceNow
- Python 3.x, .NET (C#), Node.js, SQL
- HTML, CSS, JavaScript/TypeScript, Angular/React
- Azure DevOps, Git, Jira, Visual Studio Code
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91173025
- Position Id: 767-46503-1793812466
- Posted 8 days ago
