Lead Full-Stack Software Engineer

EPAM Systems Inc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems Inc. seeks a Lead Full-Stack Software Engineer to build GenAI-powered interfaces and frontend integration libraries for enterprise teams across IT, HR, Finance, Sales, Marketing, and Customer Support.

You will design end-to-end GenAI applications, deliver responsive web UIs, and maintain reusable UI libraries. Strong React/TypeScript or Vue experience and Python backend skills are essential for delivering secure, accessible AI-powered experiences.

Qualifications

• 5+ years building production-grade UIs with React/TypeScript or Vue in enterprise settings.
• 5–8 years of full-stack software engineering spanning frontend UIs, REST APIs, and microservices.
• 2+ years integrating GenAI features and LLM APIs into web apps.
• 2+ years of Python backend development and building cloud microservices on AWS, Docker, REST APIs.
• Experience building and maintaining reusable component libraries and design systems.

Responsibilities

• Design and develop end-to-end GenAI-powered applications with intuitive web UIs.
• Build responsive, accessible frontend interfaces with low latency for streaming responses.
• Create and maintain reusable frontend components, hooks, and design systems for enterprise GenAI apps.
• Deliver LLM-based experiences using LangChain or LlamaIndex with OpenAI, Claude, or Gemini.
• Collaborate with designers and product managers to iterate AI UX patterns like chat assistants and prompt builders.
• Ensure security, accessibility, observability, and test coverage across client-side and full-stack builds.
• Develop UI components that provide transparency and trust in AI outputs.

Skills

React

TypeScript

Vue

REST APIs

Microservices

Python

AWS

Docker

LangChain

LlamaIndex

Job description

We're seeking a Lead Full-Stack Software Engineer to build user-friendly, high-performing interfaces and frontend integration libraries that deliver GenAI and intelligent automation capabilities to teams across IT, HR, Finance, Sales, Marketing, and Customer Support.

Responsibilities

• Design and develop end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and high-performing client-side API integrations
• Build responsive, accessible frontend interfaces tailored for streaming responses and minimal latency
• Create and maintain a library of reusable frontend components, hooks, and design systems for enterprise-grade GenAI applications
• Deliver LLM-based experiences using frameworks such as LangChain or LlamaIndex combined with OpenAI, Claude, or Gemini
• Collaborate with designers and product managers to rapidly iterate on innovative AI UX patterns, including chat assistants, prompt builders, and feedback loops
• Ensure security, accessibility, observability, and comprehensive test coverage across client-side and full-stack builds
• Deliver responsive, accessible, and high-performance web UIs suited to AI-driven interactions such as streaming text, prompt inputs, citations, and summaries
• Maintain a shared library of reusable frontend components and hooks so internal teams can seamlessly integrate GenAI capabilities into their own applications
• Develop UI components that provide transparency, observability, and trust in AI-generated outputs

Requirements

• Background in building production applications with React, TypeScript, or Vue for enterprise use cases (5+ years)
• Expertise in full-stack software engineering spanning frontend UIs, REST APIs, and microservices (5–8 years)
• Proficiency in integrating GenAI features, LLM APIs, and prompt UI patterns into web-based applications (2+ years)
• Skills in Python backend development, along with 2+ years building and consuming cloud microservices on AWS, Docker, and REST APIs
• Showcase of building, documenting, and maintaining reusable component libraries, design systems, and custom hooks
• Proficiency in English at a B2+ level or higher
• Nice to have Familiarity with real-time streaming UX patterns, such as SSE/WebSockets, prompt builders, citations, and summary UI components
• Knowledge of WCAG 2.1 AA compliance and approaches to designing accessible UI components
• Capability to work with client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
• Understanding of RAG pipelines, vector search platforms like Pinecone or OpenSearch, and embedding fundamentals
• Competency in AI evaluation tools, feedback loop design, and interface-level guardrails