Title: GenAI Front-End Engineer

Hours: Monday–Friday; 8:00 AM–5:00 PM

Location: South San Francisco, CA 94080 | Hybrid – Bay Area candidates preferred, onsite 1–2 days/week

Overview

Seeking an experienced GenAI Front-End Engineer to build reusable conversational AI and analytics experiences that can be embedded across enterprise applications. This role focuses heavily on React, TypeScript, micro-frontends, embedded UI/SDK architecture, streaming GenAI interfaces, and application integration.

The ideal candidate has hands-on experience building production front-end applications that integrate AI-driven conversations, analytics, structured data, authentication, and host-application context.

Job Description

Build reusable conversational AI and analytics interfaces using React and TypeScript.
Develop embedded AI experiences that can integrate into applications owned by multiple product teams.
Implement integration approaches using micro-frontends, Web Components, embedded SDKs, Module Federation, or secure iframe patterns.
Capture context from host applications, including active screens, filters, selected objects, and user actions.
Build streaming, multi-turn GenAI experiences with conversation history, clarification workflows, and error handling.
Display structured AI-generated results including tables, charts, citations, and reusable result components.
Design clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
Integrate REST and streaming APIs.
Support authentication, authorization, and token-management requirements.
Collaborate with product and engineering teams to create reusable front-end capabilities that can operate across multiple applications.

Required Skills

Strong production experience with React and TypeScript.
Proven experience embedding a UI, service, or micro-frontend within another application.
Experience designing integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
Experience integrating host-application context such as active pages, filters, selected objects, and user actions.
Hands-on experience building streaming, multi-turn GenAI interfaces.
Experience with clarification flows, conversation history, and GenAI error handling.
Experience rendering structured responses including tables, charts, citations, and reusable results.
Strong experience integrating REST APIs, streaming APIs, authentication, and token management.

Preferred Skills

Experience developing reusable UI SDKs or components used across multiple applications.
Micro-frontends.
Web Components.
Module Federation.
Secure iframe integration.
MCP clients.
Embedded analytics or enterprise copilot products.
AWS.
Amazon Bedrock.
AgentCore-backed applications.

Aptonet

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