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3 дня назад

Advanced Software Engineer - AI Platform

103 000 - 155 000$
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

Текст:
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TL;DR
Advanced Software Engineer - AI Platform (Python/cloud-native/AI): Building and operating distributed, scalable cloud services and experimentation infrastructure for AI-powered legal data solutions with an accent on APIs, event-driven architecture, data platforms, and reliability. Focus on designing full-stack services and pipelines that process petabytes of data weekly, improving observability and performance, and supporting incident response at scale.

Location: Illinois, United States; hybrid/remote

Salary: $103,000–$155,000 per year, plus annual performance bonus, long-term incentives, and equity program

Company

hirify.global builds AI-powered cloud software for legal data intelligence, helping law firms, corporations, and government agencies organize information, discover relevant evidence, and support high-stakes legal work.

What you will do

  • Design, develop, and operate secure, distributed, scalable full-stack cloud services processing petabytes of data weekly.
  • Build performant and accessible user interfaces, backend services, and data pipelines.
  • Develop clean, testable, and maintainable code using modern tooling and CI/CD.
  • Build tools and infrastructure for the AI Platform’s Experimentation Infrastructure team to accelerate experimentation.
  • Collaborate with engineering, product, and design partners on AI-powered legal data solutions.
  • Contribute to code reviews, service ownership, observability, on-call rotations, and incident response.

Requirements

  • 3+ years of experience designing, building, and operating cloud-native distributed systems.
  • Hands-on experience with APIs, event-driven architecture, and data platforms.
  • Experience developing cloud-based distributed services.
  • Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD.
  • Security- and reliability-focused approach with strong cross-functional collaboration skills.
  • Experience with technologies such as Python, Docker, Azure, Kubernetes, Databricks, MLflow, GitHub, and GitHub Actions.

Nice to have

  • Experience with performance or cost optimization.
  • Familiarity with AI development tools such as Cursor or Claude Code.

Culture & Benefits

  • Continuous delivery, strong observability, and end-to-end ownership.
  • Health and retirement programs, wellness resources, and discretionary time off.
  • Parental leave, two annual company breaks, and a home office stipend.
  • Volunteer opportunities and company-sponsored charitable programs.
  • Career exposure across distributed systems and AI-enabled workflows.

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