Lead Python AI Engineer: Architect & Orchestrate AI Agents

EPAM Systems, Inc.; México; Híbrido; MXN 420.000 - 700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Career development programs

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead AI Engineer to design production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You shape agent architecture, ensure observability and secure data access, and collaborate with distributed stakeholders to ship high-quality outcomes.

Responsibilities include building AI agents with tool-calling, developing FastAPI services, writing SQL for analytics, and implementing health probes and distributed tracing for robust observability.

Formación

• 5+ years of production software development experience with Python.
• 2+ years of hands-on experience building LLM integrations or AI agents.
• Advanced Python 3.11+ skills with AsyncIO and clean architecture.

Responsabilidades

• Design production-grade AI agent architectures and tool interfaces aligned to platform standards.
• Build scoped AI agents with tool-calling, structured outputs, and robust prompt/tool orchestration.
• Develop FastAPI services and asynchronous task handlers to support low-risk actions and ticket generation.

Conocimientos

Python

AsyncIO

LLM integrations

FastAPI

SQL

Docker

Observability

Unit/integration testing

Cloud platforms

Educación

Bachelor's degree in Computer Science

Herramientas

Terraform

BigQuery

Vertex AI

LangChain

Descripción del empleo

EPAM Systems, Inc. seeks a Lead AI Engineer to design production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You shape agent architecture, ensure observability and secure data access, and collaborate with distributed stakeholders to ship high-quality outcomes.

Responsibilities include building AI agents with tool-calling, developing FastAPI services, writing SQL for analytics, and implementing health probes and distributed tracing for robust observability.