Lead AI Factory Engineer

EPAM Systems; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Professional development

Job summary

EPAM Systems in Colombia seeks a Lead AI Factory Engineer to direct fleets of AI agents to produce shipped, correct, and maintainable code at speed. You will own architectural decisions, define acceptance criteria, and supervise agent outputs while developers provide hand-tuned validation and production-grade results across all outputs.

Join a global team delivering international projects and cutting-edge AI tooling, with an emphasis on quality, correctness, and scalable software architecture.

Qualifications

• 5+ years of professional software engineering experience with hands-on coding and architecture.
• Experience orchestrating multi-agent workflows (planner, implementer, reviewer, tester).
• Expertise in verification pipelines with tests and type checks.
• Ability to challenge automated decisions and correct agent drift.
• Strong understanding of software architecture, tradeoffs, and correctness.
• Ability to write and ship production code independently.
• English at B2 level or higher.

Responsibilities

• Decompose work into specs and tasks that agents can execute.
• Supervise agent output by reading diffs and challenging decisions.
• Build verification into every loop with tests, linters, and type checks.
• Define acceptance criteria to validate agent-generated work.
• Own architectural decisions and design tradeoffs.
• Perform work by hand when needed to validate agent output.
• Tune the factory setup based on daily use.
• Measure success via shipped repos, defects caught, throughput, and code quality.
• Report on specs, tests, review outcomes, and production metrics.

Skills

Multi-agent workflows

Verification pipelines

Architectural design

Code reviews

Diff analysis

Tests and linting

Production-grade coding

English proficiency

Tools

Git

CI/CD

Linters

Job description

We are seeking a Lead AI Factory Engineer to direct, constrain, and verify fleets of AI agents in order to produce shipped, correct, and maintainable code at speed without sacrificing quality. In this role, you will treat software as the product and agents as tools in your workshop, holding architectural judgment, ownership of design trade-offs, and accountability for correctness across every output.ResponsibilitiesDecompose work into specs and tasks that agents can execute, including planner, implementer, reviewer, and tester sub-agentsSupervise agent output by reading diffs, challenging decisions, and stepping in when an agent drifts from intentBuild verification into every loop, incorporating tests, linters, type checks, and review agents before anything is trustedDefine acceptance criteria to validate agent-generated work prior to integrationOwn architectural decisions, design tradeoffs, and correctness while agents handle code generationPerform the work by hand when needed to identify when an agent's output is wrongTune the personal, lightweight factory setup continuously based on daily useMeasure success through shipped repos, defects caught, throughput, and overall code qualityReport on specs, tests, review outcomes, and production metrics to demonstrate factory performanceRequirements5+ years of professional software engineering experience, including hands-on coding and architectural designProficiency in orchestrating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agentsExpertise in building and maintaining verification pipelines, including tests, linters, and type checksBackground in reviewing code diffs, challenging automated decisions, and correcting agent driftUnderstanding of software architecture, design tradeoffs, and correctness principlesSkills in defining acceptance criteria and quality gates for automated or AI-assisted developmentCapability to write and ship production code independently without relying on agentsEnglish proficiency at B2 level or higherWe 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.