Lead Python AI Engineer

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 220.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling & certification courses

Global career opportunities

Volunteer opportunities

Descripción de la vacante

EPAM Systems, Inc. in Colombia seeks a Lead AI Engineer to design production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment.

You will shape agent architectures, ensure observability, and collaborate with distributed stakeholders to ship high-quality outcomes. You will build tool-calling agents, implement read-only data access via Model Context Protocol, develop FastAPI services, and optimize SQL for analytics while maintaining secure, reliable operations

Formación

• 5+ years of production software development experience with Python
• 2+ years of hands-on experience building LLM integrations or AI agents
• Strong leadership and project ownership for end-to-end production services
• Advanced Python 3.11+ skills with AsyncIO and clean architecture practices
• Strong FastAPI skills for backend microservices and tool APIs

Responsabilidades

• Design production-grade AI agent architectures and tool interfaces
• Build scoped AI agents with tool-calling and structured outputs
• Implement read-only Model Context Protocol servers exposing enterprise data
• Develop FastAPI services and asynchronous task handlers for low-risk actions
• Write and optimize SQL for analytic cost datasets with partitioning and clustering constraints
• Establish unit/integration tests and ensure monorepo engineering standards
• Coordinate peer code reviews and govern design quality across teams

Conocimientos

Python programming

AsyncIO

LLM integrations

Code quality leadership

Herramientas

FastAPI

SQL

Docker

LangChain

Google Vertex AI

BigQuery

Descripción del empleo

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.ResponsibilitiesDesign production-grade AI agent architectures and tool interfaces aligned to platform standardsBuild scoped AI agents with tool-calling, structured outputs, and robust prompt/tool orchestrationImplement read-only Model Context Protocol servers that securely expose enterprise datasets to agentsDevelop FastAPI services and asynchronous task handlers to support low-risk actions and ticket generationWrite and optimize SQL for normalized cost datasets while respecting partitioning and clustering constraintsImplement health and readiness probes, structured JSON logging, and distributed tracing for observabilityEstablish unit and integration tests co-located with capability modules to protect critical flowsCoordinate peer code reviews and enforce monorepo structure and engineering excellence practicesCollaborate with product and architecture stakeholders to refine requirements and deliver measurable resultsRequirements5+ years of production software development experience with Python2+ years of hands-on experience building LLM integrations or AI agentsLead-level technical leadership experience guiding design and code qualityStrong project ownership skills for delivering production-grade services end to endAdvanced Python 3.11+ skills with AsyncIO and clean architecture practicesStrong FastAPI skills for building backend microservices and tool APIsStrong SQL skills for authoring and optimizing analytical queriesSolid Docker skills for packaging and running services reliablyHands-on Google Agent Development Kit experience for agent and tool developmentModel Context Protocol experience implementing safe, read-only data access patternsUpper-Intermediate English proficiency (B2) for cross-team collaborationNice to haveGoogle Cloud BigQuery experience optimizing large partitioned datasetsGoogle Vertex AI experience integrating hosted models and evaluation workflowsCI/CD experience building automated test and release pipelinesTerraform experience provisioning and managing cloud infrastructure as codeLangChain experience building agent workflows and tool integrationsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.