5 дней назад
Senior MLOps Developer (AWS AgentCore Runtime)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior MLOps Developer (AWS AgentCore Runtime): Building reliable versioning and lifecycle management for LLM agents as immutable deployment units with an accent on CI/CD workflows, evaluation gates, promotion controls, and AWS ECR artifact management. Focus on designing multi-environment agent releases, validating rollback behavior, managing signed ARM64 images, and integrating evaluation metadata with agent registries.
Location: Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, or Ukraine. Flexible work formats are available: remote, hybrid, or office-based.
Company
is a global software engineering company that builds data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Develop immutable versioning workflows for agent container images, prompt configurations, tool bindings, and policy associations.
- Design and maintain CI/CD pipelines with evaluation gates for AI systems before production promotion.
- Implement agent promotion workflows across development, QA, and production environments.
- Support rollback patterns and validate that restored agent versions continue to work correctly.
- Manage AWS ECR practices, including ARM64 tagging, lifecycle policies, and image signing.
- Integrate agent versions with registries and maintain evaluation and promotion metadata while collaborating on runtime endpoint management.
Requirements
- 5+ years of MLOps or DevOps engineering experience with AI or ML systems.
- Experience with versioning and lifecycle management for LLM agents or ML models.
- Experience with immutable artifact versioning at enterprise scale using ECR or model registries.
- Experience designing CI/CD pipelines with quality gates for AI systems.
- English is evaluated during the communication and technical assessments.
Nice to have
- Hands-on experience with AWS AgentCore Runtime versioning.
- Experience with Langfuse, LangSmith, or PromptLayer.
- Experience with multi-environment agent promotion, version comparison, and regression detection.
Culture & Benefits
- Flexible remote, hybrid, and office-based work formats with equipment and secure access provided.
- Vacation according to local law, paid sick leave, and time off for state holidays.
- Health insurance support and mental health programs.
- Coverage of IT certification costs and access to professional learning platforms, mentoring, and expert courses.
- Corporate events, workplace comfort support, and a people-focused environment built around flexibility and professional growth.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments covering English and relevant technologies.
- Project-team interview and possible client interview preparation.
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