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# GenAI Front-End Engineer

- **Company:** Mindlance
- **Location:** Mountain View, CA, United States
- **Salary:** $145,600.0 - $162,240.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, User Authentication, Encodings, Design of User Interfaces, Human-Computer Interaction, Ui Patterns, Data Streaming, Systems Integration, TypeScript, Web Applications, ReactJS, AgentCore, Amazon Bedrock, Front End Software Development, Iframes, Restful APIs, Web Api
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/genai-front-end-engineer-mountain-view-ca--32e0a38c-9c18-4643-a844-5df0c8f39134

## About the Role

User Interface/Experience (UI/UX), User Interface/Experience (UI/UX), Embedded Systems, Artificial Intelligence (AI), Authentication, Application Programming Interface (API), REST (Representational State Transfer), MCP - Microsoft Certified Professional, Amazon Web Services (AWS), 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, 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

## Description

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.