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3 дня назад

Staff Platform Engineer (AI)

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

Staff Platform Engineer (AI/AWS): Designing and maintaining an enterprise-scale serverless platform to support LLM-powered applications for contract lifecycle management with an accent on scalability, cloud-native architecture, and AI integration. Focus on optimizing LLM capacity at scale, improving IaC stacks, and enhancing internal developer workflows.

Location: Remote (United States)

Company

hirify.global is a global leader in data-first contract lifecycle management (CLM) software, providing a flexible Agreement Platform (DAP) to manage the end-to-end contract process.

What you will do

  • Build and maintain software applications within a suite of enterprise products.
  • Collaborate with AI engineers to efficiently utilize and scale commercial LLM APIs.
  • Drive architecture and cloud-engineering decisions for a serverless AWS platform.
  • Develop and optimize Infrastructure-as-Code (IaC) stacks, CI/CD pipelines, and observability tools.
  • Mentor junior team members and improve internal developer workflows and best practices.
  • Troubleshoot complex issues across the entire application stack and lead incident response efforts.

Requirements

  • Bachelor's degree in Computer Science, IT, or equivalent professional experience.
  • Minimum 8 years of professional software engineering experience.
  • Minimum 3 years in a tech lead, architecture lead, or management role.
  • Proficiency with Python and experience building cloud-native applications using AWS serverless (Lambda, API Gateway, DynamoDB).
  • Deep understanding of Git, Postgres, CloudFormation/SAM, and RESTful API design.
  • Must be based in the United States.

Nice to have

  • Experience building applications on top of LLMs using commercial APIs.
  • Familiarity with Python data science libraries (numpy, scipy, scikit-learn, pandas).
  • Expertise in Postgres query optimization and database indexing.
  • Interest in application and cloud security.

Culture & Benefits

  • Focus on healthy work/life balance with floating holidays.
  • Quarterly, no-questions-asked wellness days.
  • Support for various Employee Resource Groups (ERGs) to foster diversity and inclusion.
  • Working philosophy centered on the belief that excellent employee experience (EX) drives excellent customer experience (CX).

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