Lead GenAI Full-Stack Engineer — Dynamic UI & AI

EPAM Systems; Colombia; On-site; COP 120,000,000 - 240,000,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off

Upskilling and certifications

LinkedIn Learning access

Volunteer opportunities

Job summary

EPAM Systems is seeking a Lead Full-Stack Software Engineer to build GenAI-powered frontend interfaces and integration libraries across enterprise teams. You will craft high‑performing UIs, design reusable components, and implement end‑to‑end AI experiences with OpenAI, Claude, or Gemini.

You will collaborate with designers and product managers to iterate AI UX patterns like chat assistants and prompt builders, while ensuring security and test coverage across client and full‑stack builds.

Qualifications

• 5+ years building production frontend UIs with React, TypeScript, or Vue.
• Proven experience with REST APIs and microservices in enterprise apps.
• Experience integrating GenAI features and LLM APIs in web apps.
• Strong backend Python and cloud deployment on AWS.

Responsibilities

• Design and develop GenAI-powered UIs and frontend integrations.
• Build responsive, accessible interfaces with low latency.
• Create reusable components, hooks, and design systems.
• Deliver LLM-based experiences using LangChain and LlamaIndex.
• Collaborate with design and product teams to iterate on AI UX patterns.
• Ensure security, accessibility, observability, and tests across stack.
• Maintain a library of components for internal GenAI capabilities.
• Develop UI components that provide transparency and trust in AI outputs.

Skills

React

TypeScript

Vue

REST APIs

Microservices

GenAI integration

Python backend

AWS

Docker

English (B2+)

Tools

LangChain

LlamaIndex

OpenAI API

Job description

EPAM Systems is seeking a Lead Full-Stack Software Engineer to build GenAI-powered frontend interfaces and integration libraries across enterprise teams. You will craft high‑performing UIs, design reusable components, and implement end‑to‑end AI experiences with OpenAI, Claude, or Gemini.

You will collaborate with designers and product managers to iterate AI UX patterns like chat assistants and prompt builders, while ensuring security and test coverage across client and full‑stack builds.