Senior AI Engineer – Production AI & Data Pipelines

EPAM Systems; México; On-site; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificates

Job summary

EPAM Systems seeks a Senior AI Engineer in Mexico to design and deliver production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on agent-tool development, safe data access patterns, and observability while partnering with cross-functional stakeholders.

You will design, implement, and optimize tooling, prompts, and JSON output for reliable downstream use, with strong emphasis on performance, security, and collaboration in a

Qualifications

• 3+ years of production software development experience with Python.
• 2+ years of experience building LLM integrations, AI agents, or data-intensive backend services.
• Senior-level autonomy and ownership across design, implementation, and delivery.
• Strong project execution skills in small, self-managed engineering teams.
• Expert Python skills with AsyncIO and modern backend patterns.
• Strong SQL skills for analytics and backend data integration.
• Proven REST API design skills including RFC 7807 error handling conventions.
• Hands-on Docker skills for building and running containerized services.
• Working knowledge of Model Context Protocol (MCP) and tool-calling integrations.
• Timezone flexibility to align working hours through 1 PM CT.
• Strong communication skills for collaborating with engineers and product partners.
• Upper-Intermediate English skills (B2, Upper-Intermediate).

Responsibilities

• 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.
• Collaborate through peer reviews and co-located unit and integration tests to keep quality high.

Skills

Python

AsyncIO

LLM integrations

SQL

REST API

Docker

MCP

Observability

Communication

English (B2)

Tools

Google Cloud BigQuery

LangChain

LangGraph

Job description

EPAM Systems seeks a Senior AI Engineer in Mexico to design and deliver production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on agent-tool development, safe data access patterns, and observability while partnering with cross-functional stakeholders.

You will design, implement, and optimize tooling, prompts, and JSON output for reliable downstream use, with strong emphasis on performance, security, and collaboration in a