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 (Gen AI) and intelligent automation accessible and useful 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 current position. Responsibilities Design and build end-to-end Gen AI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrations Develop responsive, accessible frontend interfaces using React, Type Script, or Vue, engineered for streaming responses and low latency Build and maintain a library of reusable frontend components, hooks, and design systems for enterprise Gen AI applications Implement LLM-based experiences using frameworks like Lang Chain or Llama Index with leading model providers (Open AI, 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 implementations Requirements Frontend Mastery: 5+ years of production experience with React, Type Script, or Vue for enterprise web applications Engineering 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 Gen AI features, LLM APIs, and prompt UI patterns into web applications Python & Cloud Services: Strong Python backend development skills and 2+ years of experience consuming/building cloud microservices on AWS, Docker, and REST APIs Component Libraries: Proven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooks Nice to have Conversational UX & Streaming: Real-time streaming UX patterns (SSE/Web Sockets), prompt builders, citations, and summary UI components Web Accessibility (a11y): Deep knowledge of WCAG 2.1 AA compliance and accessible UI component architecture Lang Chain for Java Script: Client-side or Node.js Lang Chain, Lang Graph, or Llama Index orchestration RAG & Vector Search: Familiarity with RAG pipelines, vector search (Pinecone, Open Search), and embedding concepts AI Evaluation & UX: Experience with AI evaluation tooling, feedback loops, and guardrails in user interfaces

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📌 Lead software engineer, applied ai (Winnipeg)
🏢 EPAM Systems
📍 Winnipeg