Senior Frontend Engineer AI Enablement

The AI Enablement team is building a unified platform that allows product and engineering teams to quickly integrate AI capabilities into their customer experiences. As a Senior Frontend Engineer, you will design and build theWidget Host Applicationand theUI contribution surfacethat enables teams to plug in AI-driven widgets, tools, and experiences in a scalable and extensible manner.

Youll work on a modern Node/React/TypeScript stack with a strict test-first approach, shaping a UI platform that other teams can confidently build upon.

Key Responsibilities

Frontend Platform Development

• Architect and develop theWidget Host App, enabling secure, scalable, and flexible embedding of AI widgets across products.
• Build theUI contribution frameworkthat allows teams to register, customize, and render UI components consistently across surfaces.
• Ensure performance, accessibility, responsiveness, and cross-browser reliability.

Test-First Engineering

• Follow a stricttest-first disciplineusing unit, integration, and UI component testing frameworks.
• Drive quality practices across the team and contribute to automated pipelines.

Extensible UI Platform Design

• Design plug-in models, contribution APIs, and extensible patterns enabling teams to create and deploy UI features rapidly.
• Influence the architecture for widget lifecycle management, sandboxing, secure rendering, and communication patterns.

Collaboration Platform Mindset

• Partner with backend, design, and product teams to deliver end-to-end AI experiences.
• Operate with a platform mindsetyour success is measured byhow easily and quickly other teams build on your UI platform.
• Create documentation, samples, and SDKs that accelerate adoption.

Required Qualifications

• Strong experience withNode.js, React, and TypeScript.
• Deep understanding offrontend architecture, component-driven development, state management, and build systems.
• Test-first mindsetwith experience in Jest, React Testing Library, Playwright/Cypress, or similar tools.
• Experience building or contributing toextensible UI platforms, plugin frameworks, or micro-frontend architectures.
• Strong understanding of web security, performance optimization, and UI scalability.

Preferred Qualifications

• Experience with Model Context Protocol (MCP) or similar tool/agent frameworks.
• Familiarity with event-driven architectures, streaming platforms, or asynchronous pipelines.
• Exposure to AI ecosystems: vector stores, embeddings, RAG, or agent frameworks.
• Experience building internal developer platforms or enablement tooling.