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)
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Work arrangement
Yes