Senior AI Engineer: Production-Grade Agents & Data Pipelines

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Senior AI Engineer 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. The role emphasizes hands-on development, security-conscious data access, and robust testing with peer reviews.

Formación

• 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.
• Proven REST API design skills including 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 downstream use.
• Implement read-only MCP server capabilities for safe access to enterprise datasets.
• Develop asynchronous task handlers that trigger low-risk actions or tickets via an action gateway.
• Write and optimize SQL queries against cost datasets with proper partitioning and clustering.
• Implement observability standards including health probes, structured JSON logging, and trace propagation.

Conocimientos

Python

AsyncIO

LLM integrations

SQL analytics

REST APIs

Observability

Herramientas

Docker

MCP

LangChain

LangGraph

Terraform

Google Cloud BigQuery

Google Vertex AI

Descripción del empleo

EPAM Systems, Inc. is seeking a Senior AI Engineer 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. The role emphasizes hands-on development, security-conscious data access, and robust testing with peer reviews.