Full-Stack Software Engineering Manager

EPAM Systems; Argentina; Presencial; ARS 3.000.000 - 5.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Descripción de la vacante

EPAM Systems is seeking a senior Full-Stack Software Engineering Manager to lead GenAI-powered UI development for enterprise apps. You will shape end-to-end frontend experiences and create reusable component libraries for scalable client-side integrations with LLMs.

You will collaborate with product and design, drive accessibility and performance, and ensure security and observability across web interfaces and backend services. Strong leadership and communication are essential.

Formación

• 8+ years in full-stack engineering across UI, APIs, and microservices.
• Proven production experience with React, TypeScript, or Vue for enterprise.
• Experience integrating GenAI, LLM APIs, and prompt patterns into web apps.
• Python backend development with 4+ years of cloud microservices on AWS, Docker, REST APIs.
• Proficient in building reusable component libraries and design systems.
• English B2+ level or higher.

Responsabilidades

• Architect end-to-end GenAI-powered web UIs and API integrations.
• Design responsive, accessible frontend experiences for streaming and low latency.
• Build a reusable frontend component library and design system.
• Collaborate with designers and product managers on AI UX patterns.
• Ensure security, accessibility, observability, and test coverage.
• Develop UI components delivering transparency and trust in AI outputs.

Conocimientos

Full-stack

React

TypeScript

Vue

Python

AWS

Docker

REST APIs

LLM integration

Herramientas

LangChain

LlamaIndex

OpenAI

Descripción del empleo

We are looking for a Full-Stack Software Engineering Manager to create intuitive, high-speed web experiences and frontend integration libraries for GenAI and automation. In this role, you will develop enterprise-ready UIs, reusable components, and client-side integrations for LLM features across internal teams while collaborating with product and design on conversational UX patterns.

Responsibilities

• Architect and ship end-to-end GenAI-powered applications, focusing on intuitive web-based UIs and high-performing client-side API integrations
• Design responsive, accessible frontend experiences fine-tuned for streaming responses and low latency
• Build and sustain a reusable library of frontend components, hooks, and design systems for enterprise-grade GenAI applications
• Implement LLM-based experiences leveraging frameworks such as LangChain or LlamaIndex paired with OpenAI, Claude, or Gemini
• Partner with designers and product managers to quickly iterate on AI UX patterns, including chat assistants, prompt builders, and feedback loops
• Guarantee security, accessibility, observability, and thorough test coverage across client-side and full-stack work
• Craft responsive, accessible, high-performance web UIs tailored to AI interactions such as streaming text, prompt inputs, citations, and summaries
• Manage a shared library of reusable frontend components and hooks so internal teams can embed GenAI capabilities into their own applications
• Develop UI components that deliver transparency, observability, and trust in AI-generated outputs

Requirements

• 8+ years of experience in full-stack software engineering spanning frontend UIs, REST APIs, and microservices
• Proven experience building production applications with React, TypeScript, or Vue for enterprise use cases
• Skills in integrating GenAI capabilities, LLM APIs, and prompt UI patterns into web-based applications
• Proficiency in Python backend development, plus 4+ years of experience building and consuming cloud microservices on AWS, Docker, and REST APIs
• Showcase of creating, documenting, and maintaining reusable component libraries, design systems, and custom hooks
• English proficiency at a B2+ level or higher

Nice to have

• Familiarity with real-time streaming UX patterns, such as SSE/WebSockets, prompt builders, citations, and summary UI components
• Understanding of WCAG 2.1 AA compliance and approaches to architecting accessible UI components
• Knowledge of client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
• Qualifications in RAG pipelines, vector search platforms like Pinecone or OpenSearch, and embedding fundamentals
• Capability to work with 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