DM
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
1 day ago
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.Â
ONSITE INTERVIEW AND LOCAL CANDIDATES ONLY PLEASE!Key Responsibilities
ÂAgent and backend
Â- Agent development: Â 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. Â
Front end
Â- 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. Â
Delivery
Â- 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. Â
Required Qualifications
Â- 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 Â
Preferred Qualifications
Â- 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.Â
- 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 Â
Tooling & Environment
Â- 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 Â
AI Agent Developer · Donnelly & Moore Corporation