Junior AI Agent Developer — New York City Metropolitan Area

*ON-SITE INTERVIEW REQUIRED*

Job Summary

AI Agent Developer

Job Description

We're 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 ServiceNow, build front-end interfaces that users interact with, and help maintain the pipelines and tests that keep releases reliable.

Key Responsibilities

Agent and backend

• 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 ServiceNow and Azure systems.

• Data queries: Write SQL queries for agent lookups, reporting, and conversational analytics.

Front end

• Web UI development: Create responsive, accessible interfaces using HTML, CSS, and TypeScript / 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.

Delivery

• CI/CD support: Help maintain Azure DevOps 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 escalate 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.

Required Qualifications

• 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 TypeScript

• 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

Preferred Qualifications

• 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 DevOps pipelines or another CI/CD tool

• Exposure to .NET (C#), ServiceNow (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

Tooling & Environment

• 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, TypeScript / JavaScript, a modern framework (for example Angular or React)

• DevOps & Testing: Azure DevOps (Pipelines, Repos), Git, API, unit, and UI testing frameworks

• Enterprise Platforms: ServiceNow (REST APIs, Flow Designer)

• Agile: SAFe, Jira / Azure Boards

• IDEs: Visual Studio Code, Antigravity