Crossfire Consulting Corp
Crossfire Consulting Corp

Senior Conversational AI Developer - Dialogflow CX

New York, NY, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SAP BASIS
  • Development Testing
  • RESTful
  • Microservices
  • Provisioning
  • Performance Tuning
  • Analytics
  • Mapping
  • Quality Assurance
  • Automated Testing
  • Integration Testing
  • Regression Testing
  • NUnit
  • POSTMAN
  • Continuous Integration
  • Continuous Delivery
  • YAML
  • Test Execution
  • Writing
  • RDBMS
  • Modeling
  • Data Manipulation
  • Reporting
  • Sprint
  • User Stories
  • Art
  • Fluency
  • Version Control
  • Debugging
  • IDE
  • Orchestration
  • Prompt Engineering
  • Workflow
  • OAuth
  • Management
  • Access Control
  • RBAC
  • Oracle Linux
  • Telephony
  • Reliability Engineering
  • Docker
  • Kubernetes
  • Cloud Computing
  • Google Cloud
  • Google Cloud Platform
  • Customer Experience
  • Vertex
  • Artificial Intelligence
  • .NET
  • C#
  • Python
  • Node.js
  • TypeScript
  • JavaScript
  • SQL
  • Testing
  • DevOps
  • Git
  • API
  • Unit Testing
  • ServiceNow
  • Agile
  • SAFE
  • JIRA
  • Microsoft Azure
  • Microsoft Visual Studio

Summary

Senior AI Agent Developer - Contract - HYBIRD NYC

*** In Person Interview Required

Position Overview

We are seeking a seasoned, hands-on Senior AI Agent Developer on a contract basis to lead the design, development, testing, and deployment of enterprise-grade conversational AI agents and intelligent workflow automations.

In this role, you will be instrumental in architecting Conversational AI solutions natively within Google Cloud Platform (specifically leveraging GECX / Dialogflow CX), orchestrating multi-cloud integrations across Azure and ServiceNow, establishing automated CI/CD deployment pipelines in Azure DevOps, and validating systems through automated test frameworks. The ideal candidate brings strong polyglot development capability across .NET, Python (must have), TypeScript, and JavaScript, deep multi-cloud experience, and a proven track record delivering within a Scaled Agile Framework (SAFe) environment.

Key Responsibilities
  • Agent Architecture & Implementation: Design, build, train, and test conversational flows, intents, custom route groups, and LLM-powered tools within Google Cloud Platform using GECX / Dialogflow CX.
  • Full-Stack & Backend Integration: Develop robust RESTful APIs, webhooks, and microservices in .NET, Python, or Node.js to integrate conversational agents with ServiceNow and Azure enterprise systems.
  • DevOps & Pipeline Automation: Build, maintain, and enhance automated CI/CD pipelines in Azure DevOps for environment provisioning, validation, and continuous deployment of agent configurations and fulfillment services.
  • Automated Quality Engineering: Implement automated test suites covering unit logic, webhook APIs, dialog flow regressions, and end-to-end conversational journeys.
  • Data Querying & Performance Tuning: Write and optimize complex SQL queries for conversational analytics, reporting, and backend data operations.
  • Agile Execution: Actively participate in SAFe Agile ceremonies, including Program Increment (PI) planning, sprint execution, backlog refinement, and cross-team dependency mapping.

Required Skills & Qualifications
  1. Deep Conversational AI Expertise (GECX / Dialogflow CX): Proven track record of designing, building, and deploying enterprise-scale virtual agents using Google Cloud Platform conversational frameworks, specifically GECX / Dialogflow CX, including state handlers, route groups, webhook fulfillment, condition rules, and generative agent capabilities.
  2. Core Polyglot Development (.NET, Python, TypeScript, JavaScript): Extensive hands-on experience building backend services, API fulfillment webhooks, and asynchronous workflows using .NET (C#) alongside Python, TypeScript, and JavaScript.
  3. Automated Testing & Quality Engineering: Strong hands-on experience implementing automated testing strategies for conversational systems and APIsincluding unit testing, mock services, integration testing, and regression test suites for dialog flows using modern test frameworks (e.g., NUnit/xUnit, PyTest, Jest, or Postman/Newman).
  4. Automated CI/CD Implementation in Azure DevOps: Demonstrated mastery in designing and configuring production-ready CI/CD pipelines in Azure DevOps (YAML pipelines, release gates, automated linting, test execution, and deployment artifacts).
  5. Enterprise Multi-Cloud Integration (Azure & ServiceNow): In-depth experience integrating distributed cloud services across multi-cloud environments, specifically connecting conversational agents with ServiceNow APIs (Incident, Change, Service Catalog, Flow Designer) and Azure services.
  6. Advanced SQL & Enterprise Data Operations: Strong proficiency in writing complex SQL queries, relational database modeling, and data manipulation to support dynamic agent lookups, reporting, and transactional verification.
  7. SAFe Agile Methodology Experience: Solid experience operating within a Scaled Agile Framework (SAFe) enterprise environment, actively engaging in Program Increment (PI) planning, sprint iterations, user story sizing, and coordinating cross-functional ART (Agile Release Train) dependencies.
  8. Modern Development Workflow & Tooling (VS Code / Antigravity): Fluency with professional developer toolchains, Git-based version control, and proficiency coding, debugging, and running local emulations inside modern IDE environments like VS Code or Antigravity.
  9. AI Agent Architecture & Fallback Orchestration: Demonstrated capability to architect fault-tolerant conversational agent interactions, context and session variable management, prompt engineering, intent classification, and seamless human escalation / fallback workflows.
  10. Enterprise Security & Cloud Fundamentals: Practical knowledge of securing multi-cloud integrations, including OAuth2, API key management, role-based access control (RBAC), and secrets handling across Google Cloud Platform, Azure, and ServiceNow.

Preferred / Nice-to-Have Qualifications
  • Familiarity with Contact Center AI (CCAI) architectures and telephony/voice gateway integrations.
  • Experience with Site Reliability Engineering (SRE) principles, telemetry/observability, and AIOps event correlation.
  • Experience with containerization (Docker, Kubernetes) and serverless deployment models (Cloud Run, Google Cloud Functions, Azure Functions).

Tooling & Environment
  • Conversational AI & Cloud: Google Cloud Platform (GECX / Dialogflow CX, Vertex AI), Microsoft Azure
  • Languages & Runtimes: .NET (C#), Python 3.x, Node.js / TypeScript / JavaScript, SQL
  • DevOps & Testing: Azure DevOps (Pipelines, Repos), Git, Automated API/Unit Testing Frameworks
  • Enterprise Platforms: ServiceNow (REST APIs, Flow Designer)
  • Agile Framework: SAFe (Scaled Agile Framework), Jira / Azure Boards
  • Development Environments: Visual Studio Code (VS Code), Antigravity

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117531
  • Position Id: 26-01565
  • Posted 9 hours ago
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