Chief GenAI & Full-Stack UI Architect

EPAM Systems; Colombia; On-site; COP 260,000,000 - 420,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certifications

LinkedIn Learning access

Global career opportunities

EPAM Employee Groups

Job summary

EPAM Systems seeks a Chief Full-Stack Software Engineer to craft fast, intuitive GenAI web interfaces and integration libraries. Lead reusable UI foundations and connect streaming AI experiences to APIs and microservices across business units.

You will architect end-to-end GenAI apps, implement LLM-driven journeys, and partner with designers to iterate AI UX patterns while upholding security, accessibility, and high-performance standards.

Qualifications

• Production enterprise apps using React, TypeScript or Vue (7+ years).
• Full-stack development across UIs, REST APIs and microservices (7+ years).
• Experience embedding GenAI features and prompt UI patterns (3+ years).
• Python backend development with cloud microservices (AWS, Docker, REST).
• Experience building reusable component libraries and design systems.
• English at B2+ level or higher.

Responsibilities

• Architect and deliver GenAI applications with fast, intuitive web UIs.
• Design responsive frontend experiences for streaming outputs and low latency.
• Build and maintain reusable UI components, hooks, and design systems.
• Implement LLM-driven user journeys using LangChain/LlamaIndex with OpenAI/Claude/Gemini.
• Collaborate with designers and product managers to iterate AI UX patterns.
• Ensure security, accessibility, observability, and thorough testing.
• Develop UI components that boost transparency and trust in AI outputs.
• Sustain a shared frontend component library across teams.

Skills

React/TypeScript

Vue.js

Full-stack development

Python backend

LLM APIs

English Proficiency

AWS/Docker/REST

Tools

LangChain

LlamaIndex

OpenAI API

Docker

AWS

Job description

EPAM Systems seeks a Chief Full-Stack Software Engineer to craft fast, intuitive GenAI web interfaces and integration libraries. Lead reusable UI foundations and connect streaming AI experiences to APIs and microservices across business units.

You will architect end-to-end GenAI apps, implement LLM-driven journeys, and partner with designers to iterate AI UX patterns while upholding security, accessibility, and high-performance standards.