GenAI Web Platform Lead - Full-Stack & UI

EPAM Systems, Inc.

United States

Remote

USD 170,000 - 230,000

Full time

9 days ago
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Job summary

EPAM Systems, Inc. is seeking a Full-Stack Software Engineering Manager to create intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation.

You will develop enterprise-ready UIs, reusable components, and client-side integrations for LLM features across internal teams while collaborating with product and design on conversational UX patterns. Lead end-to-end GenAI-powered applications, design responsive interfaces tuned for streaming and low latency, and

Qualifications

  • 8+ years of experience in full-stack software engineering.
  • Experience building production applications with React, TypeScript, or Vue for enterprise use cases.
  • Proficiency in Python backend development and cloud microservices on AWS, Docker, and REST APIs.

Responsibilities

  • Architect and ship end-to-end GenAI-powered applications with high-speed web UIs and client-side API integrations.
  • Design responsive, accessible frontend experiences optimized for streaming and low latency.
  • Build and sustain a reusable frontend components library and design system for GenAI apps.
  • Implement LLM-based experiences using LangChain, LlamaIndex with OpenAI, Claude, or Gemini.
  • Collaborate with designers and product managers to refine AI UX patterns like chat assistants and prompts.
  • Ensure security, accessibility, observability, and thorough test coverage across client-side and full-stack work.

Skills

Full-stack development
React/TypeScript or Vue
GenAI integration
Python backend
AWS/Docker/REST APIs
Reusable UI components

Tools

React
TypeScript
Vue
Python
AWS
Docker
REST APIs
LangChain/LlamaIndex

Job description

EPAM Systems, Inc. is seeking a Full-Stack Software Engineering Manager to create intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation.

You will develop enterprise-ready UIs, reusable components, and client-side integrations for LLM features across internal teams while collaborating with product and design on conversational UX patterns. Lead end-to-end GenAI-powered applications, design responsive interfaces tuned for streaming and low latency, and

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