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We are seeking a Chief Full-Stack Software Engineer to craft intuitive, high-speed web interfaces and integration libraries for GenAI and smart automation. You will develop reusable UI foundations and link streaming AI experiences to APIs and microservices across business teams. Apply today.

Responsibilities

Architect and deliver end-to-end GenAI applications, prioritizing intuitive web UIs and fast client-side API integrations
Design responsive and accessible frontend experiences crafted for streaming outputs and low-latency interactions
Build and maintain reusable component libraries, hooks, and design systems for enterprise GenAI applications
Implement LLM-driven user journeys leveraging LangChain or LlamaIndex with OpenAI, Claude, or Gemini
Partner with designers and product managers to iterate quickly on AI UX patterns such as chat assistants, prompt builders, and feedback loops
Guarantee security, accessibility, observability, and comprehensive testing across client-side and full-stack work
Craft responsive, accessible, high-performance web UIs for AI interactions including streaming text, prompt inputs, citations, and summaries
Sustain a shared library of reusable frontend components and hooks so teams can embed GenAI capabilities into their applications
Develop UI components that boost transparency, observability, and trust in AI-generated outputs

Requirements

Background in delivering production enterprise apps with React, TypeScript, or Vue for 7+ years
Expertise in full-stack development spanning frontend UIs, REST APIs, and microservices across 7+ years
Proficiency in embedding GenAI features, LLM APIs, and prompt UI patterns in web applications for 3+ years
Skills in Python backend development, plus 3+ years building and consuming cloud microservices on AWS, Docker, and REST APIs
Showcase of building, documenting, and maintaining reusable component libraries, design systems, and custom hooks
Proficiency in English at a B2+ level or higher

Nice to have

Familiarity with real-time streaming UX patterns, covering SSE/WebSockets, prompt builders, citations, and summary UI components
Understanding of WCAG 2.1 AA compliance and approaches to designing accessible UI components
Competency in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
Knowledge of RAG pipelines, vector search platforms such as Pinecone or OpenSearch, and embedding fundamentals
Qualifications in AI evaluation tools, feedback loop design, and interface-level guardrails

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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