Our Business Technology organization builds secure and intelligent internal platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend integration libraries that make Generative AI (GenAI) and intelligent automation accessible and practical across IT, HR, Finance, Sales, Marketing, and Customer Support.
In this role, you will bridge the gap between complex LLM orchestration and enterprise user experience, ensuring our internal teams can seamlessly adopt and trust AI-driven tools.
Req.# The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
ResponsibilitiesDesign and build end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrationsDevelop responsive, accessible frontend interfaces using React, TypeScript, or Vue, 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 leading model providers (OpenAI, Claude, Gemini, etc.)Collaborate closely with designers and product managers to iterate rapidly on novel AI UX patterns (chat assistants, prompt builders, feedback loops)Ensure top-tier security, accessibility (a11y), observability,



and test coverage across client-side and full-stack implementationsRequirementsFrontend Mastery: 5+ years of production experience with React, TypeScript, or Vue for enterprise web applicationsEngineering Seniority: 5–8 years of software engineering experience across the full web stack (frontend UIs, REST APIs, microservices)AI Application Integration: 2+ years of experience integrating GenAI features, LLM APIs, and prompt UI patterns into web applicationsPython & Cloud Services: Strong Python backend development skills and 2+ years of experience consuming/building cloud microservices on AWS, Docker, and REST APIsComponent Libraries: Proven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooksNice to haveConversational UX & Streaming: Real-time streaming UX patterns (SSE/WebSockets), prompt builders, citations, and summary UI componentsWeb Accessibility (a11y): Deep knowledge of WCAG 2.1 AA compliance and accessible UI component architectureLangChain for JavaScript: Client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestrationRAG & Vector Search: Familiarity with RAG pipelines, vector search (Pinecone, OpenSearch), and embedding conceptsAI Evaluation & UX: Experience with AI evaluation tooling, feedback loops, and guardrails in user interfacesWe offerExtended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending

📌 Lead Software Engineer, Applied AI (Canada)
🏢 EPAM Systems
📍 Canada