Gen AI Front End Engineer

Planet Pharma — United States · Posted ~3 hours ago

Full-time

Skills

React TypeScript Micro-Frontend Web Components SDK Development SDK

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Summary ✨ AI‑Generated

We're building a reusable conversational and analytics experience that can be integrated into various products. The UI receives authentication, active screen context, filters and user actions from host products, then displays streamed answers, tables, charts, citations and conversation history. Integration approaches include micro-frontend, Web Component, embedded SDK, module federation or secure iframe. Strong React and TypeScript experience required, along with experience designing clean integration APIs, SDK contracts, callbacks, events and versioned interfaces.

Highlights

Build reusable conversational and analytics experiences that integrate into products across the organization. Work on cutting-edge embedded AI UI with streaming answers, charts, tables, and citations. Innovative approach using micro-frontend, Web Component, or secure iframe integration.

Description

GenAI Front-End Engineer 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 Pay Rate Range: 70-87/hr depending on experience