We are building GenAI-powered web experiences with intuitive UI and low-latency integrations to bring automation into everyday enterprise workflows. As a Chief Full Stack Software Engineer, you will lead frontend UX patterns, reusable component libraries, and full-stack delivery across React/TypeScript/Vue and Python microservices on AWS. Apply now to help scale trusted AI experiences across the organization
Responsibilities
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Architect and deliver end-to-end GenAI-powered applications with intuitive web UIs and fast client-side API integrations
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Engineer responsive, accessible frontend experiences optimized for streaming responses and low latency
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Develop and evolve reusable frontend components, custom hooks, and design systems for enterprise GenAI applications
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Implement LLM-driven features using frameworks like LangChain or LlamaIndex with OpenAI, Claude, or Gemini
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Partner with designers and product managers to iterate quickly on AI UX patterns including chat assistants, prompt builders, and feedback loops
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Enforce security, accessibility, observability, and test coverage across client-side and full-stack work
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Create high-performance, accessible web UIs for AI interaction patterns such as streaming text, prompt inputs, citations, and summaries
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Maintain shared component and hook libraries so internal teams can embed GenAI capabilities into their applications
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Deliver UI components that increase transparency, observability, and user confidence in AI-generated outputs
Requirements
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Proven track record with React, TypeScript, or Vue in production for enterprise web applications (7+ years)
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Extensive full-stack engineering experience delivering frontend UIs, REST APIs, and microservices (7+ years)
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Hands-on background integrating GenAI features, LLM APIs, and prompt UI patterns into web applications (3+ years)
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Advanced Python backend development skills, including building and consuming cloud microservices on AWS with Docker and REST APIs (3+ years)
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Demonstrated ability to build, document, and maintain reusable component libraries, design systems, and custom hooks
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English proficiency at B2+ (Upper-Intermediate) level
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Working knowledge of GraphQL for client-server data interactions
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Practical experience with LangChain or LlamaIndex in JavaScript/Node.js contexts
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Familiarity with Model Context Protocol concepts and integration considerations
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Exposure to React Native for shared UI patterns across web and mobile surfaces
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Understanding of vector databases and embedding concepts used in RAG-style applications
Nice to have
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Familiarity with real-time streaming UX patterns such as SSE/WebSockets, prompt builders, citations, and summary UI components
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Knowledge of WCAG 2.1 AA compliance and accessible UI component architecture
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Skills in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
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Familiarity with RAG pipelines, vector search tools like Pinecone or OpenSearch, and embedding concepts
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Background in AI evaluation tooling, feedback loops, and guardrails in user interfaces
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
