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6 дней назад

Senior Agentic AI Platform Engineer

159 100 - 270 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Agentic AI Platform Engineer (AI/platform engineering): Building shared platform services that enable product teams to build, release, evaluate, operate, and scale production-grade AI agents with an accent on orchestration, runtime execution, integrations, and reliability. Focus on designing reusable distributed systems, improving observability and developer tooling, and supporting testing, releases, incident response, and post-launch operations.

Location: Remote within the United States, Texas

Salary: USD $159,100–$270,900 per year

Company

hirify.global develops software and technology solutions for the real estate and property management industry.

What you will do

  • Design, build, integrate, test, and operate platform services for production AI agents used by multiple product teams.
  • Implement reusable capabilities for agent orchestration, runtime execution, tool integrations, workflow automation, observability, and reliability.
  • Partner with product, platform, QA/Eval, operations, and support stakeholders to release agent capabilities with strong quality and operational readiness.
  • Improve developer tooling, monitoring, logs, metrics, dashboards, alerts, and debugging workflows.
  • Support regression testing, production support, incident response, release discipline, and continuous improvement after launch.
  • Contribute to technical designs, code reviews, rollout plans, reliability improvements, and engineer mentoring.

Requirements

  • Strong backend or platform engineering experience with distributed systems, infrastructure services, workflow systems, execution platforms, integrations, or developer platforms.
  • Experience building reliable production systems with focus on testing, observability, performance, supportability, and maintainability.
  • Familiarity with asynchronous execution, service coordination, APIs, stateful systems, monitoring, deployment pipelines, or production support.
  • Ability to own delivery, quality, support, and escalation within a pod-based engineering model.
  • Interest in LLMs, AI agents, model-driven products, workflow automation, or agentic AI platform patterns.
  • Strong collaboration and communication skills across engineering, product, QA/Eval, operations, and customer-facing teams.

Culture & Benefits

  • Remote work arrangement within the United States.
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus eligibility.

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