Chief AI Factory Engineer

EPAM Systems; Chile; Remote; CLP 89,197,000 - 128,840,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling opportunities

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems Inc. seeks a Chief AI Factory Engineer to oversee multi-agent teams delivering shipped, accurate, and maintainable code with built-in quality controls.

You will drive architectural decisions, set acceptance criteria, and intervene when agents drift from intent, while embedding verification via tests and linters. You will break work into specs for planner, implementer, reviewer, and tester agents, monitor outputs, and report production metrics to showcase factory performance across

Qualifications

• 7+ years of professional software engineering experience, with hands-on coding and architectural design.
• Experience coordinating multi-agent workflows (planner, implementer, reviewer, tester).
• Proficiency in creating and sustaining verification pipelines (tests, linters, type checks).
• Experience reviewing code diffs, questioning automated decisions, fixing drift in outputs.
• Knowledge of software architecture, design tradeoffs and correctness principles.
• Ability to establish acceptance criteria and quality gates for automated/AI-assisted development.
• Capability to write and deploy production code independently without relying on agents.

Responsibilities

• Break down work into specs and tasks executable by agents (planner, implementer, reviewer, tester).
• Oversee agent outputs by reading diffs, questioning decisions, and intervening when needed.
• Embed verification in every loop with tests, linters, and type checks before trusting outputs.
• Establish acceptance criteria to validate agent-generated work before integration.
• Own architectural decisions and design tradeoffs while delegating code generation to agents.
• Complete tasks manually when necessary to verify agent output.
• Refine the factory setup based on daily usage and feedback.
• Provide reports on specs, tests, review outcomes, and production metrics.

Skills

Software architecture & design

Multi-agent workflow coordination

Verification pipelines & linters

Code review & debugging

Production code deployment

English proficiency

Job description

We're looking for a Chief AI Factory Engineer who will oversee, limit, and check teams of AI agents to deliver shipped, accurate, and maintainable code quickly while maintaining quality standards. In this position, you'll approach software as the end product and view agents as instruments at your disposal, maintaining architectural judgment, taking ownership of design trade-offs, and bearing responsibility for correctness in all outputs.ResponsibilitiesBreak down work into specs and tasks executable by agents, including planner, implementer, reviewer, and tester sub-agentsOversee agent output through reading diffs, questioning decisions, and intervening when an agent deviates from intentEmbed verification into every loop, using tests, linters, type checks, and review agents before trusting any outputEstablish acceptance criteria to validate agent-generated work before integrationTake ownership of architectural decisions, design tradeoffs, and correctness while delegating code generation to agentsComplete tasks manually when necessary to determine when an agent's output is incorrectContinuously refine the personal, lightweight factory setup based on daily usageGauge success through shipped repositories, defects identified, throughput, and overall code qualityProvide reports on specs, tests, review outcomes, and production metrics to showcase factory performanceRequirements7+ years of professional software engineering experience, encompassing hands-on coding and architectural designSkill in coordinating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agentsProficiency in creating and sustaining verification pipelines, including tests, linters, and type checksExperience reviewing code diffs, questioning automated decisions, and fixing agent driftKnowledge of software architecture, design tradeoffs, and correctness principlesAbility to establish acceptance criteria and quality gates for automated or AI-assisted developmentCompetence to write and deploy production code independently without depending 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.