EPAM logo

Senior ML / Evaluation Engineer

EPAM·Salary not specified

Primary stack

AWS BedrockPythonAI

Nice to have's

AWS AgentCore EvaluationAWS Bedrock GuardrailsCloudWatch metricsOpenTelemetryLangGraphStrands Agents

Job description

About the Position

Senior ML / Evaluation Engineer

Senior · Remote · Georgia, Kazakhstan, Kyrgyzstan, Turkiye, Uzbekistan, Armenia

Join the Enterprise Agent Development Platform project at EPAM. We are building a cloud-native platform that enables engineering teams to develop, deploy, and operate AI agents in production. The platform combines modern agent frameworks, AWS infrastructure, CI/CD, observability, and governance to make AI development faster and more reliable. As a Python AI Evaluation Engineer, you will own a key part of this platform: building the capabilities that measure and validate the quality of AI solutions. You will design evaluation approaches, develop custom evaluators, and integrate quality checks into the software delivery lifecycle. This role is a strong fit for an engineer who enjoys solving new GenAI challenges and turning them into practical, automated engineering solutions.

Responsibilities

  • Design and implement evaluation frameworks for LLM-based applications and AI agents
  • Develop LLM-as-a-Judge and deterministic, code-based evaluators
  • Build custom Python evaluators for quality and behavioral checks
  • Define evaluation criteria, metrics, thresholds, and acceptance rules
  • Evaluate agent behavior across individual responses, tool calls, and complete workflows
  • Work with OpenTelemetry traces and spans as evaluation data
  • Integrate evaluations into CI/CD pipelines and automated deployment gates
  • Enable continuous quality monitoring of solutions in production
  • Establish reusable evaluation patterns and engineering standards
  • Work closely with AI Engineers, Architects, and Platform Engineers to embed quality into the development process

Requirements

  • 5+ years of experience in ML Engineering, AI Engineering, or AI Platform Engineering
  • Strong Python development experience
  • Hands-on experience with LLM/GenAI evaluation
  • Experience designing and implementing evaluation frameworks
  • Experience developing custom or deterministic evaluators
  • Experience integrating AI/ML quality checks into CI/CD
  • Good understanding of LLM and AI agent architectures

Nice to Have

  • Hands-on experience with AWS AgentCore Evaluation
  • Experience with AWS Bedrock Guardrails, including PII detection
  • Knowledge of CloudWatch metrics and production monitoring
  • Experience with OpenTelemetry
  • Familiarity with LangGraph, Strands Agents, or similar agent frameworks

We Offer

  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • We invest in your growth: Leadership development, career advising, soft skills and well-being programs, Certifications, including GCP, Azure and AWS, Unlimited access to EPAM's internal learning database, Free English classes with certified teachers
  • We cover it all: Participation in the Employee Stock Purchase Plan, Monetary bonuses for engaging in the referral program, Comprehensive medical & family care package, Five trust days per year (sick leave without a medical certificate), Benefits package (sports activities, a variety of stores and services)

About the Company

We connect like-minded people: Delivering innovative solutions to industry leaders, making a global impact.

© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.

More at EPAM

All 3139 roles

Popular searches