20 publicaciones de empleo destacadas de lead data software en remote (¡Están contratando!)

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

Architect and deliver end-to-end GenAI-powered applications with intuitive web UIs and fast client-side API integrations
Engineer responsive, accessible frontend experiences optimized for streaming responses and low latency
Develop and evolve reusable frontend components, custom hooks, and design systems for enterprise GenAI applications
Implement LLM-driven features using frameworks like LangChain or LlamaIndex with OpenAI, Claude, or Gemini
Partner with designers and product managers to iterate quickly on AI UX patterns including chat assistants, prompt builders, and feedback loops
Enforce security, accessibility, observability, and test coverage across client-side and full-stack work
Create high-performance, accessible web UIs for AI interaction patterns such as streaming text, prompt inputs, citations, and summaries
Maintain shared component and hook libraries so internal teams can embed GenAI capabilities into their applications
Deliver UI components that increase transparency, observability, and user confidence in AI-generated outputs

Requirements

Proven track record with React, TypeScript, or Vue in production for enterprise web applications (7+ years)
Extensive full-stack engineering experience delivering frontend UIs, REST APIs, and microservices (7+ years)
Hands-on background integrating GenAI features, LLM APIs, and prompt UI patterns into web applications (3+ years)
Advanced Python backend development skills, including building and consuming cloud microservices on AWS with Docker and REST APIs (3+ years)
Demonstrated ability to build, document, and maintain reusable component libraries, design systems, and custom hooks
English proficiency at B2+ (Upper-Intermediate) level
Working knowledge of GraphQL for client-server data interactions
Practical experience with LangChain or LlamaIndex in JavaScript/Node.js contexts
Familiarity with Model Context Protocol concepts and integration considerations
Exposure to React Native for shared UI patterns across web and mobile surfaces
Understanding of vector databases and embedding concepts used in RAG-style applications

Nice to have

Familiarity with real-time streaming UX patterns such as SSE/WebSockets, prompt builders, citations, and summary UI components
Knowledge of WCAG 2.1 AA compliance and accessible UI component architecture
Skills in client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
Familiarity with RAG pipelines, vector search tools like Pinecone or OpenSearch, and embedding concepts
Background in AI evaluation tooling, feedback loops, and guardrails in user interfaces

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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