Назад
23 часа назад

Senior/Staff Applied AI Engineer (DevOps/SRE)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
SK
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

Senior/Staff Applied AI Engineer (DevOps/SRE): Deploying and managing high-performance AI models for enterprise customers with an accent on infrastructure optimization, GPU stack management, and scalable production environments. Focus on bridging the gap between cutting-edge AI research and real-world industrial applications through robust DevOps practices and direct customer collaboration.

Location: Must be based in Seoul (On-site)

Company

A pioneering AI company democratizing high-performance, open-source models and enterprise-grade AI solutions.

What you will do

  • Onboard customers and provide technical guidance on deployment and integration of AI products.
  • Ensure optimal production setups ranging from low-level GPU stacks to infrastructure and interfaces.
  • Deploy state-of-the-art AI applications for diverse industrial use cases.
  • Collaborate with researchers and product engineers on complex scaling and inference tasks.
  • Contribute to open-source codebases for inference and fine-tuning.
  • Participate in pre-sales calls to provide technical expertise to various stakeholders.

Requirements

  • Fluent in English and Korean
  • 5+ years of experience in a DevOps or Site Reliability Engineering role
  • Experience deploying and managing AI-based products in production
  • Proficiency in Python
  • Strong experience with Docker, Kubernetes, and CI/CD pipelines
  • Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
  • Experience with IaC tools like Terraform or Ansible

Nice to have

  • Experience as a Customer Engineer, Forward Deployed Engineer, or Solutions Architect
  • Familiarity with AI frameworks such as PyTorch or TensorFlow
  • Contributions to open-source projects in DevOps or AI

Culture & Benefits

  • Collaborative, low-ego, and team-spirited environment
  • Opportunity to work on high-stakes projects with global impact
  • Exposure to cutting-edge AI research and enterprise-scale deployments
  • Dynamic, innovation-driven workplace

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