Summary
✨ AI‑Generated
Design and develop a reusable conversational and analytics UI that integrates seamlessly into existing products using modern frontend techniques such as micro-frontends, web components, embedded SDKs, and secure iframes. Work with React and TypeScript to create streaming answers, charts, tables, citations, and conversation history. Collaborate with host applications to deliver embedded AI experiences that receive authentication and context from the parent application.
Highlights
Build cutting-edge generative AI conversational and analytics interfaces integrated into enterprise products. Work with modern frontend architectures including micro-frontends, web components, and embedded SDKs. Immediate opening to create reusable AI experiences across multiple products.
Description
Greetings from IT Engagements IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions.
We have an immediate opening for the below position with one of our premium clients.
Job Summary Job Title: GenAI Front-End Engineer Work Location: South San Francisco, CA (Hybrid) Focus: Embedded AI Experience, Micro-Frontend and SDK 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
Thanks Divya divya@itengagements.com
