Senior Python & AI Backend Architect — Lead & Mentor

EPAM Systems; Argentina; Remote; ARS 1,200,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking a Senior Python Developer with solid AI expertise to contribute across backend architecture and services. You will collaborate with cross-functional teams to deliver robust systems, mentor developers, review code, and guide architectural decisions for scalable software solutions.

The role emphasizes strong English communication and a proactive approach to learning and applying AI-driven improvements.

Qualifications

• 3+ years of hands-on Python development in backend services.
• Experience with AI fundamentals and applying them to improve design.
• Proven ability to lead teams and energize collaborators.
• Strong understanding of databases for data modeling and retrieval.
• Excellent written and spoken English (B2+).

Responsibilities

• Architect and build scalable backend systems aligned with goals.
• Collaborate with cross-functional teams to deliver high-quality products.
• Engage in architecture discussions to influence project direction.
• Review peers' code to uphold standards and improve quality.
• Diagnose and fix complex issues across build phases.
• Mentor junior developers and improve team capabilities.
• participate in planning discussions to set scope and timelines.
• Stay updated on industry practices and bring them into workflows.
• Document technical rationale to safeguard future state.
• Coordinate with stakeholders to ensure outputs meet requirements.

Skills

Python

AI basics

Leadership

Databases

English (B2+)

Tools

React

Git

SQL/NoSQL

Job description

EPAM Systems is seeking a Senior Python Developer with solid AI expertise to contribute across backend architecture and services. You will collaborate with cross-functional teams to deliver robust systems, mentor developers, review code, and guide architectural decisions for scalable software solutions.

The role emphasizes strong English communication and a proactive approach to learning and applying AI-driven improvements.