Senior AI Agent Developer

Quick Facts

• Role: Senior AI Agent Developer

• Focus: Enterprise conversational AI agents + web experiences

Description

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

Responsibilities

• Design conversational flows, routing, intents, and LLM-powered tools in GECX / Dialogflow CX; establish patterns using Google’s Agent Development Kit (ADK)

• Make architecture decisions for orchestration, tool design, and handoffs between agents, fulfillment services, and human agents

• Lead Contact Center AI (CCAI) solutions, including integration with IVR platforms like Genesys and Amazon Connect

• Define prompt engineering and intent classification standards and evaluate changes against measurable quality criteria

• Design/build REST APIs, webhooks, and services (Python primary; .NET or Node.js) connecting agents to ServiceNow, Azure, 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

• Develop responsive, accessible web interfaces using HTML, CSS, TypeScript, and React or Angular

• Implement front-end patterns for API connections, loading states, error handling, and session management

• Own browser security practices (CORS, XSS prevention, secure token and secret handling)

• Build internal dashboards for agent analytics, test results, and admin tasks

• Own and improve Azure DevOps pipelines for validating and deploying agent configurations, fulfillment services, and front-end builds (YAML pipeline reviews)

• Define Terraform-based infrastructure as code standards and review Terraform module changes

• Define testing strategy across unit tests, webhook API tests, dialog flow regression tests, and front-end component tests; drive coverage targets and quality gates

• Lead incident investigation and root-cause analysis; document findings and ensure follow-through

• Monitor agent performance and reliability; contribute to observability and AIOps practices

• Mentor engineers via code reviews and technical guidance

• Support SAFe sprint planning, backlog refinement, and PI planning; translate business requirements into technical designs and delivery plans

• Maintain architecture diagrams, flow designs, API documentation, and runbooks; enforce team documentation standards

Benefits

Contract role with a 9am–6pm schedule (hours and details as specified in the posting).