Required Qualifications Strong hands-on experience designing and deploying enterprise conversational AI agents using GECX / Dialogflow CX. Deep understanding of Dialogflow CX capabilities including flows, intents, state handlers, route groups, condition rules, webhook fulfillment, context/session management, and generative capabilities. Strong Python development experience. Hands-on development experience with C#/.NET, TypeScript, JavaScript, and Node.js. Experience building REST APIs, webhooks, microservices, and asynchronous integrations. Strong automated testing experience across APIs, backend services, and conversational AI solutions. Advanced experience building and maintaining Azure DevOps CI/CD pipelines, including YAML pipelines and automated deployment processes. Hands-on experience integrating enterprise applications with ServiceNow REST APIs and Azure services. Strong SQL development and relational database experience. Experience with prompt engineering, intent classification, conversational context management, fallback orchestration, and human escalation patterns. Experience working within SAFe Agile environments, including PI Planning and Agile Release Train dependencies. Strong Git-based software-development experience and proficiency with modern development environments such as VS Code. Understanding of enterprise security practices including OAuth2, RBAC, API security, and secrets management. Strong troubleshooting, analytical, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Google Vertex AI and generative AI capabilities. Experience with Contact Center AI (CCAI) architectures. Experience integrating conversational AI with telephony or voice platforms. Knowledge of SRE practices, telemetry, observability, monitoring, and AIOps. Experience with Docker and Kubernetes. Experience deploying serverless solutions using Google Cloud Run, Google Cloud Functions, or Azure Functions. Experience supporting large-scale, highly available enterprise AI or conversational platforms.
Tools & Technologies Conversational AI: GECX / Dialogflow CX, Vertex AI, LLMs, Generative AI Cloud: Google Cloud Platform, Microsoft Azure Development: Python 3.x, C#/.NET, TypeScript, JavaScript, Node.js, SQL Integration: REST APIs, Webhooks, ServiceNow, OAuth2 DevOps: Azure DevOps, YAML Pipelines, Git, Azure Repos Testing: PyTest, NUnit/xUnit, Jest, Postman/Newman Containers & Serverless: Docker, Kubernetes, Cloud Run, Google Cloud Functions, Azure Functions Agile: SAFe, PI Planning, Jira, Azure Boards Development Tools: Visual Studio Code and modern AI-assisted development environments
AI developer in new york at Unknown Company
This position is listed as full time and onsite.