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2 часа назад

Senior Software Engineer (AI/Backend)

160 000 - 250 000$
Формат работы
onsite
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 Software Engineer (AI/Backend): Building scalable backend services, workflow engines, APIs, and event-driven systems for an AI-native IT service management platform with an accent on workflow orchestration, distributed systems, and enterprise automation. Focus on designing long-running business processes, integrating AI and LLM applications, and ensuring scalability, reliability, and observability.

Location: On-site five days a week at the Flatiron District office in Manhattan, NYC, NY

Salary: $160,000–$250,000 USD per year

Company

hirify.global is building an AI-native IT service management platform that combines graph technology, intelligent workflows, and modern software architecture to automate complex enterprise operations.

What you will do

  • Design and build scalable backend services for workflow execution and orchestration.
  • Develop reusable workflow components and APIs used across the product.
  • Build reliable, event-driven systems for coordinating long-running business processes.
  • Partner with Product and Design to deliver intuitive workflow experiences.
  • Define engineering best practices for scalability, reliability, and observability.

Requirements

  • 5+ years of professional software engineering experience.
  • Strong backend development skills in Go, Python, Java, or a similar language.
  • Experience designing distributed systems, APIs, and cloud-native applications.
  • Strong understanding of asynchronous processing and event-driven architectures.
  • Ability to work on-site five days a week from the Manhattan office.
  • Ability to work effectively in a fast-paced, collaborative startup environment.

Nice to have

  • Experience with workflow orchestration platforms such as Temporal, Cadence, Camunda, Argo, Airflow, or Dagster.
  • Experience with Kubernetes, AWS, PostgreSQL, Kafka, or Redis.
  • Experience with AI/LLM applications, agentic systems, enterprise automation, or integration platforms.

Culture & Benefits

  • Meaningful ownership of foundational systems that scale to millions of users.
  • Collaborative, experienced engineering team with significant technical influence.
  • Culture focused on craftsmanship, autonomy, and technical excellence.
  • AI is used as a development accelerator alongside human expertise.
  • Competitive compensation, equity, and benefits package.

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