Full-Stack Software Engineering Manager

EPAM Systems, Inc.; United States; Remote; USD 170,000 - 230,000; Full time

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

We are looking for a Full-Stack Software Engineering Manager to create intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation. In this role, 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.ResponsibilitiesArchitect and ship end-to-end GenAI-powered applications, focusing on intuitive web-based UIs and high-performing client-side API integrationsDesign responsive, accessible frontend experiences fine-tuned for streaming responses and low latencyBuild and sustain a reusable library of frontend components, hooks, and design systems for enterprise-grade GenAI applicationsImplement LLM-based experiences leveraging frameworks such as LangChain or LlamaIndex paired with OpenAI, Claude, or GeminiPartner with designers and product managers to quickly iterate on AI UX patterns, including chat assistants, prompt builders, and feedback loopsGuarantee security, accessibility, observability, and thorough test coverage across client-side and full-stack workCraft responsive, accessible, high-performance web UIs tailored to AI interactions such as streaming text, prompt inputs, citations, and summariesManage a shared library of reusable frontend components and hooks so internal teams can embed GenAI capabilities into their own applicationsDevelop UI components that deliver transparency, observability, and trust in AI-generated outputsRequirements8+ years of experience in full-stack software engineering spanning frontend UIs, REST APIs, and microservicesProven experience building production applications with React, TypeScript, or Vue for enterprise use casesSkills in integrating GenAI capabilities, LLM APIs, and prompt UI patterns into web-based applicationsProficiency in Python backend development, plus 4+ years of experience building and consuming cloud microservices on AWS, Docker, and REST APIsShowcase of creating, documenting, and maintaining reusable component libraries, design systems, and custom hooksEnglish proficiency at a B2+ level or higherNice to haveFamiliarity with real-time streaming UX patterns, such as SSE/WebSockets, prompt builders, citations, and summary UI componentsUnderstanding of WCAG 2.1 AA compliance and approaches to architecting accessible UI componentsKnowledge of client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestrationQualifications in RAG pipelines, vector search platforms like Pinecone or OpenSearch, and embedding fundamentalsCapability to work with AI evaluation tools, feedback loop design, and interface-level guardrailsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn