Senior AI Agent Developer

Quick Facts

• Senior role leading enterprise conversational AI agents and web experiences
• Hybrid: local Tri-State (NYC) presence required

Description

You will design, build, and support enterprise conversational AI agents and the web experiences around them. You will own architecture on Google Cloud (GECX / Dialogflow CX), connect agents to Azure and ServiceNow, integrate with IVR platforms, and set standards for how agents, fulfillment services, and front-end interfaces are built, tested, and released. You will also mentor engineers and partner with product, platform, and operations teams.

Responsibilities

• Lead design of conversational flows (route groups, intents) and LLM-powered tools in GECX / Dialogflow CX using Google’s Agent Development Kit (ADK) patterns
• Make architecture decisions for agent orchestration, tool design, and handoffs between agents, fulfillment services, and human agents
• Design Contact Center AI solutions and integrate with IVR platforms such as Genesys and Amazon Connect
• Define prompt engineering and intent classification standards; evaluate changes using measurable quality criteria
• Design and build REST APIs, webhooks, and Python services (with .NET or Node.js as needed) to connect agents to ServiceNow, Azure systems, and IVR platforms; establish API contracts, versioning, and error-handling standards (including MCP integration patterns)
• Write and optimize SQL for agent lookups, reporting, and conversational analytics
• Build responsive, accessible web interfaces using HTML, CSS, and TypeScript with React or Angular; define front-end patterns for session management, loading, and error handling
• Own browser-facing security practices (CORS, XSS prevention, token and secret handling)
• Build internal dashboards for agent analytics, test results, and admin tasks
• Own and improve Azure DevOps pipelines (YAML) for validating and deploying agent configurations, fulfillment services, and front-end builds
• Define infrastructure as code standards with Terraform; review Terraform module changes
• Lead testing strategy (unit tests, webhook API tests, dialog-flow regression tests, and front-end component tests) with quality gates
• Perform incident investigation and root-cause analysis; document findings and drive follow-through
• Monitor agent performance and reliability; contribute to observability and AIOps
• Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance
• Participate in sprint planning and PI planning in a SAFe environment; translate business requirements into technical designs and delivery plans
• Maintain architecture diagrams, flow designs, API documentation, and runbooks

Requirements

• Bachelor’s degree in computer science, IT, or related field (or equivalent practical experience)
• 8+ years of software engineering experience, including at least 1 year building production conversational AI or LLM-based applications
• Advanced Python plus working proficiency in .NET and JavaScript/TypeScript
• Strong experience with REST APIs, JSON, webhooks, MCP, and calling APIs from browser applications
• Hands-on experience with Dialogflow CX or GECX
• Hands-on Contact Center AI (CCAI) or IVR integration experience (Genesys or Amazon Connect)
• Strong SQL skills
• Experience with automated test frameworks (PyTest, Jest, xUnit)
• Experience with Git, CI/CD pipelines, and code review practices
• Experience with containers and infrastructure as code (Docker, Kubernetes, Terraform)
• Excellent written and verbal communication; ability to explain technical trade-offs to non-technical stakeholders

Benefits

Not specified in the provided posting.