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Lead AI Factory Engineer

Role overview

Qualifications

  • 5+ years of professional software engineering experience, including hands-on coding and architectural design
  • Proficiency in orchestrating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agents
  • Expertise in building and maintaining verification pipelines, including tests, linters, and type checks
  • Background in reviewing code diffs, challenging automated decisions, and correcting agent drift

Responsibilities

  • Decompose work into specs and tasks that agents can execute, including planner, implementer, reviewer, and tester sub-agents
  • Supervise agent output by reading diffs, challenging decisions, and stepping in when an agent drifts from intent
  • Build verification into every loop, incorporating tests, linters, type checks, and review agents before anything is trusted
  • Define acceptance criteria to validate agent-generated work prior to integration

Key facts

Hard skills

Other skills

  • Communication
  • Accountability
  • Quality Assurance

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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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. Responsibilities Decompose work into specs and tasks that agents can execute, including planner, implementer, reviewer, and tester sub-agents Supervise agent output by reading diffs, challenging decisions, and stepping in when an agent drifts from intent Build verification into every loop, incorporating tests, linters, type checks, and review agents before anything is trusted Define acceptance criteria to validate agent-generated work prior to integration Own architectural decisions, design tradeoffs, and correctness while agents handle code generation Perform the work by hand when needed to identify when an agent's output is wrong Tune the personal, lightweight factory setup continuously based on daily use Measure success through shipped repos, defects caught, throughput, and overall code quality Report on specs, tests, review outcomes, and production metrics to demonstrate factory performance Requirements 5+ years of professional software engineering experience, including hands-on coding and architectural design Proficiency in orchestrating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agents Expertise in building and maintaining verification pipelines, including tests, linters, and type checks Background in reviewing code diffs, challenging automated decisions, and correcting agent drift Understanding of software architecture, design tradeoffs, and correctness principles Skills in defining acceptance criteria and quality gates for automated or AI-assisted development Capability to write and ship production code independently without relying on agents English proficiency at B2 level or higher

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