Sr. Full Stack Developer (Senior AI Agent Developer)

Senior Full Stack Developer (Senior AI Agent Developer) Job Number: 26-01699 Want to be part of the Energy Industry? ECLARO is looking for a Senior Full Stack Developer (Senior AI Agent Developer) for our client in New York, NY. ECLARO’s client operates one of the world’s largest energy delivery systems, constantly at the forefront of innovations in developing technology. If you’re up to the challenge, then take a chance at this rewarding opportunity!

Position Overview:

• 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.

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 Qualifications:

• 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.
• 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.
• Automated Testing & Quality Engineering: Strong hands-on experience implementing automated testing strategies for conversational systems and APIs—including 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).
• 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).
• 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.
• 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.
• 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.
• Modern Development Work…