[Hiring] Lead JavaScript Full-Stack Engineer @EPAM Systems

Role Description

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.

• 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.

Qualifications

• 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).

Requirements

• 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).