Lead AI Platform Engineering Manager — Python & FastAPI

EPAM Systems, Inc.; México; A distancia; MXN 1.500.000 - 2.700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks an AI Platform Software Engineering Manager to architect a next-generation AI-powered financial assistant platform. You will lead a hands-on, senior team to design, build, and operate production systems end-to-end.

You will design Python services with FastAPI, balance latency and reliability, implement AI evaluation, guardrails, and security, and collaborate with business users to refine requirements while maintaining high quality and performance.

Formación

• 8+ years of software engineering experience with Python or comparable languages.
• Strong FastAPI experience building production APIs and services.
• Strong forward deployed engineering experience working closely with business users.
• Proven leadership skills to drive technical direction and uphold engineering standards.

Responsabilidades

• Design end-to-end systems for an AI-powered assistant from loosely defined goals.
• Build Python services and APIs using FastAPI for production workloads.
• Deliver production implementations that balance quality, latency, reliability, and cost.
• Define evaluation approaches for AI features using automated tests, datasets, and regression suites.
• Implement monitoring and failure analysis workflows to validate AI behavior in production.

Conocimientos

Python

FastAPI

System design

AI evaluation

Leadership

Herramientas

AWS

Kubernetes

Terraform

ReactJS

Anthropic Claude Code

Descripción del empleo

EPAM Systems, Inc. seeks an AI Platform Software Engineering Manager to architect a next-generation AI-powered financial assistant platform. You will lead a hands-on, senior team to design, build, and operate production systems end-to-end.

You will design Python services with FastAPI, balance latency and reliability, implement AI evaluation, guardrails, and security, and collaborate with business users to refine requirements while maintaining high quality and performance.