Senior DevOps / Platform Engineer - AI Agent Platform
New
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EPAMAI platform
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
- AWSDockerCI/CDMLOps
Requirements
- Have 5+ years of experience in MLOps or DevOps engineering with AI/ML systems.
- Bring hands-on experience with deployment, promotion, or rollback workflows for AI agents, such as agent evaluation gates, version comparison, or endpoint management.
- Have experience with 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.
- Nice to have: hands-on experience with AWS AgentCore Runtime versioning.
- Nice to have: familiarity with agent evaluation frameworks such as Langfuse, LangSmith, or PromptLayer.
- Nice to have: experience with multi-environment agent promotion patterns.
- Nice to have: skills in agent version comparison and regression detection.
Responsibilities
- Define and maintain an immutable agent versioning model covering container images, prompt configuration, tool bindings, and policy associations.
- Manage AWS AgentCore Runtime versioning, including automatic version creation on image push and DEFAULT and named endpoint management.
- Design and enforce agent promotion workflows from dev to qa to prod, with evaluation gates before production release.
- Establish rollback patterns that restore previous agent versions and validate their functionality.
- Configure AWS ECR for agent images, including ARM64 tagging, lifecycle policies, and image signing.
- Integrate with the Agent Registry to automatically register agent versions with evaluation results and promotion status metadata.
- Collaborate with engineering teams to standardize agent versioning and lifecycle practices.
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