Jr. AI Agent Developer - Hybrid NYC - 2381

Job Summary 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 location: New York, New York job type: Contract salary: $52 - 55 per hour work hours: 9am to 5pm education: Bachelors Responsibilities 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 experienceWorking proficiency in Python (required), .NET and HTML, CSS, and JavaScript or TypeScriptUnderstanding of REST APIs, JSON, MCP and how webhooks work, including calling APIs from a browser appSQL skillsExperience with Git and a modern IDE such as VS CodeExposure to unit testing with a framework like PyTest, Jest, or xUnitClear 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 frameworksBasic knowledge of prompt engineering and intent classificationFamiliarity with front-end testing tools such as Jest, Selenium, or Playwright / CypressFamiliarity with Azure DevOps pipelines or another CI/CD toolExposure to .NET (C#), ServiceNow (REST APIs, Flow Designer), or bothBasic 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 AIOpsExposure to Google's Agent Development Kit (ADK) or similar agent frameworks Tooling & Environment Conversational AI & Cloud: Google Cloud Platform (GECX / Dialogflow CX), Microsoft AzureBack end: Python 3.x (primary), .NET (C#), Node.js, SQLFront 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 frameworksEnterprise Platforms: ServiceNow (REST APIs, Flow Designer)Agile: SAFe, Jira / Azure BoardsIDEs: Visual Studio Code, Antigravity Qualifications 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 Skills NET,AIOps,Agile,Angular,API,APIs,AI,Automated testing,testing tools,Azure DevOps pipelines,backend,backend services,C#,CSS,chatbots,Conversational AI,Cloud,CI/CD,CORS,XSS,browser security,Cypress,UI development,DevOps,Docker,Backend integration,Front end Web,front-end,Git,Google Cloud Platform,HTML,Computer Science,Jira,JSON,JavaScript,Jest,Kubernetes,LLM-powered,LLM-based,Azure,Microsoft Azure,Azure DevOps,Visual Studio Code,intent classification,Node.js,OAuth2,Playwright,prompt engineering,PyTest,Python,proficiency in Python,Python 3,React,regression tests,REST APIs,SQL queries,SQL,sprint planning,Selenium,serverless,Azure Functions,ServiceNow,SQL skills,Terraform,TypeScript,unit tests,unit testing,UI testing,AI Agent,webhooks,YAML,written and verbal communication,Troubleshooting,backlog refinement,Contact Center,Dashboards,Investigate,error handling,Testing,Tooling Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.