Chief Full-Stack Software Engineer

EPAM Systems; Argentina; On-site; ARS 136,430,000 - 197,065,000; Full time

Job summary

EPAM Systems in Argentina is seeking a Chief Full-Stack Software Engineer to craft fast, intuitive GenAI web interfaces and integration libraries for AI workflows across teams.

You will lead end-to-end GenAI applications, design responsive UIs, build reusable component libraries, and implement LLM-driven journeys with LangChain or LlamaIndex using OpenAI, Claude, or Gemini.

Qualifications

• 7+ years delivering production enterprise apps with React, TS or Vue.
• 7+ years full-stack development across frontend UIs, REST APIs, and microservices.
• 3+ years embedding GenAI features with LLM APIs and prompt UI patterns.
• Python backend, plus 3+ years building cloud microservices on AWS, Docker, REST.
• Experience building and maintaining reusable component libraries and design systems.
• English proficiency at B2+ level or higher.

Responsibilities

• Architect and deliver GenAI applications with fast web UIs and API integrations.
• Design responsive, accessible frontend experiences crafted for streaming outputs.
• Build reusable component libraries, hooks, and design systems.
• Implement LLM-driven user journeys using LangChain or LlamaIndex with OpenAI/Claude/Gemini.
• Collaborate with designers and product managers to iterate AI UX patterns.
• Ensure security, accessibility, observability, and testing across client-side and full-stack.
• Develop UI components that enable transparent, trustworthy AI outputs.
• Maintain a shared frontend components library for teams embedding GenAI.

Skills

React

TypeScript

Vue

Full-stack development

AWS

Docker

REST APIs

GenAI integration

English (B2+)

Tools

LangChain

LlamaIndex

Job description

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.

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