Lead Full Stack Software Engineer

EPAM Systems, Inc.; Canada; Remote; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning & development

Global career opportunities

Job summary

EPAM Systems, Inc. is seeking a Lead Full Stack Software Engineer to build intuitive GenAI-powered web applications and frontend integration libraries for enterprise use across multiple domains. You will design responsive, high-performance UIs and streaming client-side integrations.

Collaborate with design and product teams to iterate AI UX patterns, implement LLM-based experiences, and maintain a shared library of reusable components while ensuring security and accessibility.

Qualifications

• 5+ years of production experience with modern frontend frameworks (React/TypeScript) and enterprise web apps.
• 5–8 years of full-stack software engineering across frontend, REST APIs, and microservices.
• 2+ years integrating GenAI features and LLM APIs with web apps.
• Strong Python backend development skills and containerized cloud services experience.

Responsibilities

• Design and build end-to-end GenAI-powered applications with user-friendly web UIs.
• Develop responsive, accessible frontend interfaces for streaming responses and low latency.
• Create and maintain a reusable component library and design system.
• Implement LLM-based experiences using LangChain or LlamaIndex with OpenAI/Claude/Gemini.
• Collaborate with designers and product managers to iterate AI UX patterns.
• Ensure security, accessibility, observability, and test coverage across client-side and full-stack.
• Deliver UI components with transparency and confidence in AI outputs.

Skills

React

TypeScript

Vue

REST APIs

Microservices

Python backend

Tools

AWS

Docker

LangChain

LlamaIndex

OpenAI API

Job description

We are seeking a Lead Full Stack Software Engineer to build intuitive, performant user interfaces and frontend integration libraries that make GenAI and intelligent automation accessible and useful across IT, HR, Finance, Sales, Marketing, and Customer Support.ResponsibilitiesDesign and build end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrationsDevelop responsive, accessible frontend interfaces engineered for streaming responses and low latencyBuild and maintain a library of reusable frontend components, hooks, and design systems for enterprise GenAI applicationsImplement LLM-based experiences using frameworks like LangChain or LlamaIndex with OpenAI, Claude, or GeminiCollaborate with designers and product managers to iterate rapidly on novel AI UX patterns such as chat assistants, prompt builders, and feedback loopsEnsure security, accessibility, observability, and test coverage across client-side and full-stack implementationsCreate responsive, accessible, and high-performance web UIs tailored for AI-driven interaction patterns like streaming text, prompt inputs, citations, and summariesMaintain a shared library of reusable frontend components and hooks that enable internal teams to drop GenAI capabilities into their applicationsDeliver UI components that provide transparency, observability, and confidence in AI-generated outputsRequirements5+ years of production experience with React, TypeScript, or Vue for enterprise web applications5–8 years of software engineering experience across the full web stack, including frontend UIs, REST APIs, and microservices2+ years of experience integrating GenAI features, LLM APIs, and prompt UI patterns into web applicationsStrong Python backend development skills and 2+ years of experience consuming and building cloud microservices on AWS, Docker, and REST APIsProven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooksProficiency in English at a B2+ levelNice to haveFamiliarity with real-time streaming UX patterns such as SSE/WebSockets, prompt builders, citations, and summary UI componentsKnowledge of WCAG 2.1 AA compliance and accessible UI component architectureSkills in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestrationFamiliarity with RAG pipelines, vector search tools like Pinecone or OpenSearch, and embedding conceptsBackground in AI evaluation tooling, feedback loops, and guardrails in user interfacesWe 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