Job Title: GenAI Front-End Engineer – AI Experience / Micro-Frontend / SDK

Location: Bay Area, CA (Hybrid 1–2 Days/Week)

Need Local candidate only who can come onsite.

Work Arrangement: Bay Area preferred; candidates outside the area must provide 4–6 hours of daily Pacific Time overlap

Role 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 other teams.

The ideal candidate will have strong React and TypeScript experience along with hands-on experience embedding UIs, micro-frontends, or services within other applications. The role focuses on building scalable integration APIs and GenAI interfaces that can display streamed answers, tables, charts, citations, and conversation history.

Key Responsibilities

Build production-ready React and TypeScript applications.
Develop reusable micro-frontends, embedded UIs, or SDK-based experiences.
Design clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
Capture and use host-application context such as active pages, filters, selected objects, and user actions.
Build streaming, multi-turn GenAI interfaces with clarification flows and conversation history.
Implement robust error handling and user interaction flows.
Render structured AI responses including tables, charts, citations, and reusable results.
Integrate REST and streaming APIs, authentication, and token management.
Build experiences that can be securely integrated into multiple host applications.

Requirements

Strong React and TypeScript production experience.
Proven experience embedding a UI, service, or micro-frontend within another application.
Experience designing APIs, SDK contracts, callbacks, events, and versioned interfaces.
Experience working with host-application context and user actions.
Experience building streaming, multi-turn GenAI interfaces.
Experience rendering tables, charts, citations, and structured responses.
Strong experience integrating REST/streaming APIs, authentication, and token management.

Preferred Qualifications

Experience building reusable UI SDKs or components used by multiple 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.

Key Skills

MindSource

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