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Senior ML/Evaluation Engineer

EPAM Systems

Role overview

Qualifications

  • 5+ years ML engineering or AI platform engineering
  • LLM evaluation framework design and implementation
  • Custom evaluator implementation for deterministic quality checks
  • CI/CD deployment gate design for ML model or agent quality

Responsibilities

  • AWS AgentCore Evaluation (on-demand mode for CI/CD gates, online mode for production sampling)
  • LLM-as-judge evaluator design (built-in AgentCore evaluators — helpfulness, correctness)
  • Custom code-based Lambda evaluators (Python — deterministic checks)
  • Evaluation levels (TRACE for per-response, TOOL_CALL for per-invocation, SESSION for workflow)

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are building an Enterprise Agent Development Platform, a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities AWS AgentCore Evaluation (on-demand mode for CI/CD gates, online mode for production sampling) LLM-as-judge evaluator design (built-in AgentCore evaluators — helpfulness, correctness) Custom code-based Lambda evaluators (Python — deterministic checks) Evaluation levels (TRACE for per-response, TOOL_CALL for per-invocation, SESSION for workflow) OTel spans from AWS AgentCore Observability as evaluation input Enterprise evaluation standard authoring (mandatory dimensions, pass/fail criteria) Requirements 5+ years ML engineering or AI platform engineering LLM evaluation framework design and implementation Custom evaluator implementation for deterministic quality checks CI/CD deployment gate design for ML model or agent quality Nice to have AWS AgentCore Evaluation API hands-on (CreateEvaluation, GetEvaluationResult) AWS Bedrock Guardrails for PII detection evaluator integration CloudWatch metrics output from AgentCore Evaluation for online mode

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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