EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead AI Engineer to design and deliver production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You will shape agent architecture, ensure reliable observability and schema-compliant access patterns, and collaborate with distributed stakeholders to ship high-quality outcomes.

Responsibilities

• 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
• Implement read-only Model Context Protocol servers that securely expose enterprise datasets to agents
• Develop FastAPI services and asynchronous task handlers to support low-risk actions and ticket generation
• Write and optimize SQL for normalized cost datasets while respecting partitioning and clustering constraints
• Implement health and readiness probes, structured JSON logging, and distributed tracing for observability
• Establish unit and integration tests co-located with capability modules to protect critical flows
• Coordinate peer code reviews and enforce monorepo structure and engineering excellence practices
• Collaborate with product and architecture stakeholders to refine requirements and deliver measurable results

Requirements

• 5+ years of production software development experience with Python
• 2+ years of hands-on experien

📌 Lead Python AI Engineer (México)
🏢 Epam Systems
📍 México