Job Summary We are seeking a GenAI Front-End Engineer 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. The key requirement is experience embedding and operating a UI service within another application. Key Responsibilities Build reusable conversational and analytics user experiences using React and TypeScript. Design and develop embedded AI experiences that can be integrated into products owned by other teams. Implement micro-frontend, Web Component, embedded SDK, module federation, or secure iframe-based integration patterns. Design clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces. Capture and consume host-application context, including active pages, filters, selected objects, and user actions. Build streaming, multi-turn GenAI interfaces with clarification flows, conversation history, and robust error handling. Render structured GenAI responses, including tables, charts, citations, and reusable results. Integrate REST and streaming APIs with appropriate authentication and token management. Ensure embedded experiences operate reliably within host applications. Develop reusable UI components and integration patterns that can be adopted across multiple products. Collaborate with product, engineering, AI/ML, and platform teams to define integration requirements and deliver scalable solutions. Apply secure and maintainable engineering practices across embedded AI experiences and SDK integrations. Required Qualifications Strong production experience with React and TypeScript. 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 active pages, 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. Strong understanding of authentication and token management for integrated applications. Strong understanding of modern front-end architecture and reusable component development. Ability to work effectively with cross-functional engineering and product teams. Preferred Qualifications 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. Education: Bachelors Degree
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- Dice Id: compun
- Position Id: AZHDC5883656
- Posted 1 hour ago
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