Senior AI Engineer (Python)

EPAM Systems; Colombia; Hybrid; COP 120,000,000 - 200,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Job summary

EPAM Systems 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.

Responsibilities include building tool APIs, MCP-enabled access, and high-quality backend services.

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).

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

AI agents

SQL

REST API design

MCP knowledge

English (B2)

Project ownership

Tools

Docker

Job description

EPAM is a leading global 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 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.

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

Requirements

• 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 skills 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)

Nice to have

• Google Cloud BigQuery
• Google Vertex AI
• LangChain
• LangGraph
• Terraform

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.