python developer for AI and ML systems

HireHi

United States

Remote

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

HireHi ищет опытного инженера бэкенда с фокусом на AI/ML для управления развёртыванием агентов от разработки до продакшена, включая контроль качества и автоматизацию.

Кандидат будет планировать окружения, реализовывать откаты, работать с AWS AgentCore и участвовать в тестах регрессии и безопасности, обеспечивая надёжность выпусков. Опыт canary/blue-green развёртываний и мониторинга обязателен.

Qualifications

  • 3+ года инженерии платформы или бэкенда в AI/ML системах
  • Опыт развёртывания в нескольких окружениях и процессов продвижения
  • Опыт с откатом и безопасной валидацией
  • Опыт с Python
  • Опыт AWS AgentCore Evaluation API
  • Опыт регрессионного тестирования агентов
  • Опыт blue-green или canary деплоймента для LLМ агентов
  • Мониторинг работоспособности агентов после развёртывания

Responsibilities

  • Разработка автоматизации Python для жизненного цикла агентов
  • Планирование и поддержка progression workflows от разработки к продакшену
  • Реализация оценки порога верификации для продвижения на QA и в прод
  • Разработка откатов до предыдущих версий с проверками
  • Валидация откатов через health checks и smoke tests
  • Управление AWS AgentCore Runtime endpoints через алиасы
  • Запуск evaluation suites против нескольких версий агентов
  • Сотрудничество по контролю качества для работы с PII безопасности и точности рабочих процессов

Skills

Python
AI/ML
Backend engineering
AWS
AgentCore API
Canaries
Blue-green
Regression testing
Health monitoring
Deployment pipelines

Tools

AgentCore
Evaluation API

Job description

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.

Условия:

No conditions specified

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