Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой
подготовься к отклику
ai-инструменты
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
The project manages AI agent deployments from development to production with validation and quality controls. It automates promotions, rollbacks, endpoint management, and regression detection to improve release confidence.
задачи
Develop Python automation for agent lifecycle operations;
Plan and maintain environment progression workflows from development to production;
Implement evaluation gate enforcement for promotions to QA and production;
Develop rollback mechanisms to revert production agents to previous versions;
Validate rollbacks with health checks and smoke tests;
Manage AWS AgentCore Runtime endpoints using default and named aliases;
Run evaluation suites against multiple agent versions to detect regressions;
Collaborate on quality checks for PII safety and workflow accuracy.
требования
3+ Years of platform or backend engineering with AI and ML systems;
Experience with multi-environment deployment and promotion workflows;
Experience with rollback automation and safety validation;
Experience with quality gate enforcement in deployment pipelines;
Experience with Python;
Hands-on experience with AWS AgentCore Evaluation API;
Experience with agent regression testing and version comparison;
Experience with blue-green or canary deployment patterns for LLM agents;
Experience with agent health monitoring after deployment.
