Embedded AI Experience | Micro-Frontend | SDK | React | TypeScript

Embedded AI Experience | Micro-Frontend | SDK | React | TypeScript

Location : South San Francisco, CA
Hybrid 1 2 days onsite per week
Bay Area candidates preferred

12+ Months Contract

Position Overview

We are seeking a GenAI Front-End Engineer to build a reusable conversational and analytics experience that can be embedded into products owned by multiple teams.

The ideal candidate will have strong React and TypeScript experience combined with hands-on expertise building embedded UIs, micro-frontends, reusable SDKs, or components integrated into host applications.

The UI will need to receive authentication, active screen context, filters, selected objects, and user actions from the host application, while providing streamed GenAI responses, tables, charts, citations, conversation history, and interactive results.

Experience with micro-frontends, Web Components, Module Federation, embedded SDKs, or secure iframe architectures is highly valuable.

Key Responsibilities

• Build production-grade conversational and analytics experiences using React and TypeScript.
• Develop reusable UI experiences that can be embedded within applications owned by other engineering teams.
• Design clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
• Capture and consume host-application context including:
  • Active page/screen
  • Filters
  • Selected objects
  • User actions
  • Application state
• Build streaming, multi-turn GenAI interfaces with clarification flows, conversation history, loading states, and error handling.
• Render structured AI responses including tables, charts, citations, and reusable result components.
• Integrate REST APIs and streaming APIs with appropriate authentication and token-management patterns.
• Develop scalable frontend architecture that can support multiple host applications.
• Collaborate with backend, AI/ML, product, and platform engineering teams.
• Establish patterns for secure and reliable embedding of AI experiences within enterprise applications.
• Troubleshoot integration, authentication, performance, and frontend architecture issues.

Required Technical Skills

• React
• TypeScript
• Strong modern JavaScript/Frontend development
• Production experience with embedded UI / micro-frontends
• Experience integrating a UI, service, or component into another application
• SDK/API design
• Integration APIs, callbacks, events, and versioned interfaces
• Host-application context integration
• GenAI / conversational UI
• Streaming APIs
• REST APIs
• Authentication & token management
• Structured response rendering
• Tables, charts, citations, and reusable UI components

Top 3 Must-Haves

1. Strong React + TypeScript production experience
2. Hands-on experience embedding a UI, service, micro-frontend, or SDK into another application
3. Experience building streaming, multi-turn GenAI/conversational interfaces

Preferred / Good-to-Have

• Reusable UI SDKs or component libraries
• Micro-frontends
• Web Components
• Module Federation
• Secure iframe integration
• MCP clients
• Embedded analytics
• Enterprise Copilot products
• AWS
• Amazon Bedrock
• AgentCore
• GenAI application development

Thanks

Sri Vardhan Chilakamukku
Infobahn SoftWorld Inc.