Senior AI Engineer: Production AI Agents & Data Pipelines

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Senior AI Engineer to design production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on safe data access patterns, observability, and co-located testing with cross-functional teams.

Responsibilities include building agent tools, prompts, and JSON parsing, plus MCP server access controls and asynchronous task handlers. Strong Python, SQL, and Docker skills are essential.

Formación

• 3+ years of production Python software development.
• 2+ years building LLM integrations or data-intensive backend services.
• Senior-level autonomy and ownership across design, implementation, and delivery.
• Strong SQL skills for analytics and backend data integration.
• REST API design with RFC 7807 error handling conventions.

Responsabilidades

• Design production-grade AI agents and supporting tool APIs for analytical reasoning and automated recommendations.
• Build and maintain agent tools, system prompts, and structured JSON output parsing for reliable downstream use.
• Implement read-only MCP server capabilities that provide safe access to enterprise datasets.
• Develop asynchronous task handlers that trigger low-risk actions or generate tickets via an action gateway.
• Write and optimize SQL queries against normalized cost datasets while adhering to partitioning and clustering standards.
• Implement observability standards including health probes, structured JSON logging, and trace propagation.

Conocimientos

Python

AsyncIO

LLM integrations

REST API design

Data analytics

Team leadership

English communication

Herramientas

Docker

SQL

BigQuery

Terraform

LangChain

LangGraph

MCP

Descripción del empleo

EPAM Systems, Inc. seeks a Senior AI Engineer to design production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on safe data access patterns, observability, and co-located testing with cross-functional teams.

Responsibilities include building agent tools, prompts, and JSON parsing, plus MCP server access controls and asynchronous task handlers. Strong Python, SQL, and Docker skills are essential.