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AI Agent Developer

Donnelly & Moore Corporation
  • 🇺🇸 United States
  • On-site
  • Senior
  • 1 day ago
  • AI
  • GCP
  • Azure
  • ServiceNow
  • ADK
  • REST API
  • Webhooks
  • Python
  • .NET
  • Node.js
  • SQL
  • HTML
  • CSS
  • TypeScript
  • JavaScript
  • React.js
  • Angular
  • CI/CD
  • Azure DevOps
  • YAML
  • Agile
  • JSON
  • MCP
  • Git
  • VS Code
  • Unit Testing
  • pytest
  • Jest
  • xUnit
  • Selenium
  • Playwright
  • Cypress
  • C#
  • OAuth2
  • CORS
  • XSS
  • IaC
  • Docker
  • Kubernetes
  • Terraform
  • Cloud Run
  • Azure Functions
  • AIOps
  • Devops
  • Jira
  • Visual Studio
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Our client in NYC is  looking for a AI Agent Developerto 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. 

ONSITE INTERVIEW AND LOCAL CANDIDATES ONLY PLEASE!

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 inPython (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
  •  
#IND1

AI Agent Developer · Donnelly & Moore Corporation

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