AI Agent Developer

Our client in NYC is looking for a AI Agent Developer to help build, test, and support enterprise conversational AI agents and the web experiences around them. You'll work alongside senior engineers on Google Cloud Platform (GECX / Dialogflow CX), connect agents to Azure and Service Now, build front-end interfaces that users interact with, and help maintain the pipelines and tests that keep releases reliable.

• Agent development: Build and test conversational flows, intents, route groups, and LLM-powered tools in GECX / Dialogflow CX, and contribute to agents built with Google's Agent Development Kit (ADK).
• Backend integration: Develop and maintain REST APIs, webhooks, and small services in Python (.NET or Node.js ) that connect agents to Service Now and Azure systems.
• Data queries: Write SQL queries for agent lookups, reporting, and conversational analytics.

• Web UI development: Create responsive, accessible interfaces using HTML, CSS, and Type Script / JavaScript with a modern framework (for example React or Angular).
• API connection: Connect front-end components to backend services and agent APIs, including loading states, error handling, and session handling in the browser.
• Dashboards and tools: Contribute to simple internal pages for agent analytics, test results, or admin tasks.

• CI/CD support: Help maintain Azure Dev Ops pipelines used to validate and deploy agent configurations, fulfillment services, and front-end builds. Make updates to existing YAML pipelines with review.
• Automated testing: Write and run unit tests, webhook API tests, dialog flow regression tests, and front-end component tests. Help expand coverage over time.
• Troubleshooting: Investigate bugs and failed test runs, document findings, and elevate when needed.
• Agile participation: Take part in sprint planning, standups, backlog refinement, and Program Increment (PI) planning within a SAFe environment.
• Documentation: Keep flow designs, API behavior, UI component notes, and runbooks current.

• Bachelor's degree in Computer Science, IT, or a related field, or equivalent practical experience
• Working proficiency in Python (required), .NET and
  HTML, CSS, and JavaScript or Type Script
• Understanding of REST APIs, JSON, MCP and how webhooks work, including calling APIs from a browser app
• SQL skills
• Experience with Git and a modern IDE such as VS Code
• Exposure to unit testing with a framework like PyTest, Jest, or xUnit
• Clear written and verbal communication, and willingness to ask questions and take feedback

• Hands-on exposure to Dialogflow CX, chatbots, or any LLM-based application (coursework or personal projects are fine)
• Exposure to Google's Agent Development Kit (ADK) or similar agent frameworks
• Basic knowledge of prompt engineering and intent classification
• Familiarity with front-end testing tools such as Jest, Selenium, or Playwright / Cypress
• Familiarity with Azure Dev Ops pipelines or another CI/CD tool
• Exposure to .NET (C#), Service Now (REST APIs, Flow Designer), or both
• Basic understanding of OAuth2, API keys, secrets handling, and browser security basics (CORS, avoiding XSS)
• Awareness of Agile or SAFe practices.
• Familiarity with containers and infrastructure as code (Docker, Kubernetes, or Terraform)
• Familiarity with serverless platforms (Cloud Run, Azure Functions) or Contact Center AI (CCAI)
• Interest in SRE, observability, and AIOps
• Exposure to Google's Agent Development Kit (ADK) or similar agent frameworks

• Conversational AI & Cloud: Google Cloud Platform (GECX / Dialogflow CX), Microsoft Azure
• Back end: Python 3.x (primary), .NET (C#), Node.js, SQL
• Front end: HTML, CSS, Type Script / JavaScript, a modern framework (for example Angular or React)
• Dev Ops & Testing: Azure Dev Ops (Pipelines, Repos), Git, API, unit, and UI testing frameworks
• Enterprise Platforms: Service Now (REST APIs, Flow Designer)
• Agile: SAFe, Jira / Azure Boards
• IDEs: Visual Studio Code, Antigravity