AI Front End Engineer

GenAI Front-End Engineer
Focus: Embedded AI Experience, Micro-Frontend and SDK
Hybrid: 1 or 2 days from office and rest remote in a week. The goal is to build a reusable conversational and analytics experience that can be integrated into products owned by other teams. The UI must receive authentication, active screen context, filters and user actions from the host product, then display streamed answers, tables, charts, citations and conversation history.

The integration approach may use a micro-frontend, Web Component, embedded SDK, module federation or secure iframe; experience embedding and operating a UI service within another application is the key requirement.

Minimum capabilities
Strong React and TypeScript production experience
Proven experience embedding a UI, service or micro-frontend within another application
Experience designing clean integration APIs, SDK contracts, callbacks, events and versioned interfaces
Experience capturing host-application context such as the active page, filters, selected objects and user actions
Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling
Experience rendering structured responses, including tables, charts, citations and reusable results
Experience integrating REST and streaming APIs, authentication and token management
Preferred
Experience building reusable UI SDKs or components used by multiple host applications
Experience with micro-frontends, Web Components, module federation or secure iframe patterns
Familiarity with MCP clients, embedded analytics or enterprise copilot products
Familiarity with AWS, Amazon Bedrock and AgentCore-backed applications
Location
Bay Area preferred, with ability to work from the office 1–2 days per week
Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time