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Software Engineer (AI)

79 000 - 119 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle
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
Software Engineer (AI): Building and operating backend services for Relativity’s generative AI platform with an accent on distributed systems, cloud infrastructure, and scalable AI traffic management. Focus on designing multi-region, multi-cloud services, asynchronous job orchestration, distributed processing, and reliability at high throughput.

Location: Illinois, United States; hybrid/remote

Salary: $79,000–$119,000 annually, plus annual performance bonus and long-term incentives

Company

hirify.global builds hirify.globalOne, an AI-powered cloud platform for legal data intelligence used in litigation, investigations, regulatory inquiries, and other high-stakes legal work.

What you will do

  • Design, build, and operate performant, scalable, and secure backend services for the aiR generative AI platform.
  • Develop high-throughput systems for AI workloads, including asynchronous job orchestration and distributed processing.
  • Build multi-region, multi-cloud services that route and manage AI traffic across regions and providers.
  • Collaborate with software engineers to deliver reliable systems operating at massive scale.
  • Write unit and integration tests, apply static analysis, and improve testing strategies.
  • Improve engineering tools, workflows, and practices through process enhancements and pair programming.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
  • Experience building backend services with C#, Python, or similar languages.
  • Understanding of software engineering disciplines and the ability to work across multiple application layers.
  • Strong foundational knowledge of distributed systems, scalability, and backend service design.
  • Experience with automation, engineering design, problem solving, quality assurance, system integration, troubleshooting, and process improvement.

Nice to have

  • Understanding of DevOps principles and experience with GitHub Actions.
  • Experience with LLM APIs, generative AI systems, Azure, or other cloud platforms.
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures.
  • Familiarity with domain-driven design, event-driven architecture, and AI-assisted coding tools.

Culture & Benefits

  • Work on foundational AI platform systems and high-throughput distributed services.
  • Collaborative environment focused on engineering fundamentals, shared ownership, and continuous learning.
  • Health and retirement programs, wellness resources, and discretionary time off.
  • Parental leave, company-wide breaks, home office stipend, and equity program.

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