Staff Applied AI Engineer Infra DevOps
Posted Updated
Description
You will onboard customers onto AI products and guide their deployment and integration. You will design production infrastructure from GPU stacks through back-end and front-end interfaces, deploy and scale AI applications, contribute to open-source codebases, and provide technical guidance during pre-sales discussions.
Responsibilities
- Onboard customers onto products and guide deployment and integration
- Ensure production infrastructure from GPU stacks to back-end and front-end interfaces
- Deploy AI applications for consumer and industrial use cases
- Collaborate on complex customer projects involving deployment, scaling, inference, and fine-tuning
- Contribute to open-source codebases
- Participate in pre-sales calls and provide technical product guidance
Requirements
- Fluency in English and Korean
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8+ years of DevOps or Site Reliability Engineering experience
- Experience deploying and managing AI-based products in production
- Python proficiency
- Experience with Docker and Kubernetes
- Experience with CI/CD pipelines and automated deployment tools
- Understanding of AWS, Azure, GCP, and on-premises infrastructure
- Experience with Terraform or Ansible
- Ability to explain complex technical concepts to technical and non-technical audiences
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances