Lead JavaScript Full-Stack Engineer

We are seeking a Lead JavaScript Full-Stack Engineer to join our global AI Engineering team and build the future of secure, enterprise-grade AI Agents. In this role, you will lead the architecture and design of intelligent, user-facing agentic interfaces, frontend libraries, and streaming UX platforms that bring GenAI capabilities to employees and customers worldwide. Responsibilities Set technical direction for frontend architectures, component systems, and real-time streaming interfaces powering AI agents across web and mobile Build high-performance frontend interfaces engineered for low latency, SSE/WebSocket streaming, and complex AI interaction patterns Mentor senior full-stack engineers and partner with global cross-geo teams to ensure shared component libraries and cohesive AI design standards Design, build, and refine frontend interfaces and SDKs that bring AI agent capabilities to life for employees and customers Architect high-performance Agentic Experiences (AX) for web and mobile, engineered for real-time response streaming and low latency Champion frontend observability, accessibility (WCAG/a11y), and operational excellence across user-facing AI services Develop reusable full-stack integration frameworks and component hooks that enable enterprise teams to easily embed GenAI tools Partner with product managers, UX designers, and backend engineers to define novel interaction patterns for AI copilots and virtual agents Provide technical leadership and hands-on guidance to global delivery teams across multiple regions Requirements 5+ years of engineering expertise in JavaScript, React, TypeScript, and modern frontend state management libraries At least 1 year of relevant leadership experience Strong software development experience across web applications, client-side SDKs, APIs, and microservices Background in building GenAI user experiences, conversational UX, and real-time response streaming interfaces (SSE/WebSockets) Skills in developing chat assistants and prompt UI patterns Proficiency in Python backend development and integrating cloud-native REST APIs on AWS/Docker Showcase of architecting enterprise UI component libraries, design systems, and developer SDKs for multi-team consumption Excellent command of written and spoken English (B2+ level) Nice to have Familiarity with client-side or Node.js orchestration frameworks (LangChain for JavaScript, LlamaIndex, Model Context Protocol) Understanding of RAG retrieval, vector databases, and citation rendering Knowledge of React Native or web-to-mobile wrapper experience for AI workflows Expertise in WCAG 2.1 AA compliance, a11y standards, and accessible UI component architecture Competency in GraphQL and AI evaluation tooling (LangSmith, Langfuse, or user feedback loop UI components)