Senior DevOps / Platform Engineer - AI Agent Platform

New
E
EPAMAI agent platforms
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English proficiency at B2 level or higher
Experience
5+ years of experience in MLOps or DevOps engineering with AI/ML systems
Required Skills
AWSCI/CDDevOpsMLOps

Requirements

  • Have 5+ years of experience in MLOps or DevOps engineering with AI/ML systems.
  • Have hands-on experience with deployment, promotion, or rollback workflows specifically for AI agents, such as agent evaluation gates, version comparison, or endpoint management.
  • Have experience in versioning and lifecycle management for LLM agents or ML models.
  • Have experience with immutable artifact versioning at enterprise scale using ECR and model registries.
  • Have experience designing CI/CD pipelines with quality gates for AI systems.
  • Have English proficiency at B2 level or higher.
  • AWS AgentCore Runtime versioning experience is a plus.
  • Familiarity with agent evaluation frameworks such as Langfuse, LangSmith, or PromptLayer is a plus.
  • Experience with multi-environment agent promotion patterns is a plus.
  • Skills in agent version comparison and regression detection are a plus.

Responsibilities

  • Define and maintain the agentic versioning model, treating the agent container image, prompt configuration, tool bindings, and policy associations as an immutable unit.
  • Manage AWS AgentCore Runtime versioning, including automatic version creation on image push and endpoint management for DEFAULT and named endpoints.
  • Design and enforce the agent promotion workflow from dev to qa to prod, embedding evaluation gates before production release.
  • Establish rollback patterns that restore previous agent versions and validate that the prior version remains functional.
  • Configure AWS ECR for agent images, including ARM64 tagging, lifecycle policies, and image signing.
  • Integrate with the Agent Registry to register agent versions with metadata such as evaluation results and promotion status.
  • Collaborate with engineering teams to standardize versioning and lifecycle practices across the agent estate.
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