GenAI Front-End Engineer

• Develop reusable conversational AI and analytics experiences that can be embedded into applications owned by multiple teams.
• Design integration solutions using technologies such as:
• Micro-frontends
• Web Components
• Embedded SDKs
• Module Federation
• Secure iFrame architectures
• Enable host applications to pass authentication, user context, active screen information, filters, and user actions into the AI experience.
• Build dynamic GenAI interfaces that support:
• Real-time streaming responses
• Multi-turn conversations
• Clarification workflows
• Conversation history
• Robust error handling
• Render rich AI-generated content, including:
• Data tables
• Interactive charts
• Citations and references
• Reusable result components
• Integrate with REST and streaming APIs while managing authentication, authorization, and token lifecycle requirements.
• Create well-defined SDK contracts, integration APIs, event models, callbacks, and version-controlled interfaces.
• Capture and leverage contextual information from host applications, including active pages, selected objects, filters, and user interactions., GenAI Front-End Engineer, React Developer, TypeScript Engineer, AI User Interface Developer, Micro-Frontend Engineer, Embedded SDK Developer, Conversational AI, Generative AI, Enterprise AI Applications, Web Components, Module Federation, REST APIs, Streaming APIs, AWS, Amazon Bedrock, AgentCore, Front-End Contract Opportunity.

• Proven production experience developing applications with React and TypeScript.
• Demonstrated success embedding user interfaces, services, or micro-frontends into existing applications.
• Experience designing and maintaining integration APIs, SDKs, event-driven architectures, and versioned interfaces.
• Strong understanding of host application context management and cross-application communication.
• Hands-on experience building Generative AI (GenAI) user experiences with streaming interactions and conversational workflows.
• Experience presenting structured AI responses through tables, charts, citations, and reusable UI patterns.
• Strong expertise integrating REST APIs, streaming services, authentication systems, and token management solutions., * Experience building reusable front-end SDKs or shared UI components consumed by multiple applications.
• Hands-on experience with:
• Micro-frontends
• Web Components
• Module Federation
• Secure iFrame integration patterns
• Familiarity with MCP clients, embedded analytics platforms, or enterprise copilot solutions.
• Experience working with AWS-based AI solutions, including Amazon Bedrock and AgentCore-powered applications.

Location & Availability

• San Francisco Bay Area candidates preferred, with the ability to work onsite 1-2 days per week.
• Candidates outside the Bay Area must be available for 4-6 hours of daily overlap with Pacific Time business hours.

In this role, you will design and build highly scalable front-end solutions that enable AI-driven conversations, analytics visualizations, and contextual insights within existing products. Success in this position requires strong expertise in React, TypeScript, micro-frontends, embedded SDKs, and AI-powered user interfaces.