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AI Infrastructure Engineer - Remote

Posted 22 weeks ago
DevOps / Sysadmin
Full Time
New Zealand

Overview

Autohive is building the future of AI-driven work automation. Our platform enables users to discover, build, and deploy AI agents that work together to eliminate toil and maximize productivity. We are designing highly scalable AI infrastructure to support this vision—and we need an exceptional engineer to help us do it.

In Short

  • Build and manage AI infrastructure
  • Optimize cloud infrastructure for AI workloads
  • Ensure scalability, security, and efficiency
  • Focus on automation
  • Work in a non-cookie-cutter DevOps role
  • Utilize AWS for infrastructure management
  • Collaborate with teams to enhance productivity
  • Drive the future of AI-driven work automation
  • Engage in engineering mindset for problem-solving
  • Contribute to the development of AI agents

Requirements

  • Strong experience with AWS
  • Deep understanding of AI service operations
  • Experience in managing cloud infrastructure
  • Ability to optimize for AI workloads
  • Strong focus on automation
  • Engineering mindset
  • Passion for AI technologies
  • Ability to work collaboratively
  • Problem-solving skills
  • Experience in a fast-paced environment

Benefits

  • Opportunity to work on cutting-edge AI technology
  • Collaborative work environment
  • Focus on innovation and automation
  • Potential for career growth
  • Work with a talented team
  • Flexible working conditions
  • Contribute to meaningful projects
  • Competitive salary
  • Access to training and development
  • Work-life balance initiatives
Autohive logo

Autohive

Autohive is at the forefront of AI-driven work automation, dedicated to creating a platform that empowers users to discover, build, and deploy AI agents. The company focuses on eliminating repetitive tasks and enhancing productivity through a highly scalable AI infrastructure. Autohive seeks innovative engineers who possess a deep understanding of AI service operations and are passionate about optimizing cloud infrastructure for AI workloads, emphasizing scalability, security, and efficiency.

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