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Forward Deployed Engineer (AI Infrastructure)

systemsGo · Tokyo, Japan · Onsite

Weak hiring record · median 342 days open

9292

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 87% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Forward Deployed Engineer (AI Infrastructure) at systemsGo. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Location

Tokyo, Japan

About the Role

Our client is a global technology company developing next-generation AI infrastructure solutions. They are seeking a Forward Deployed Engineer to support the deployment, integration, and operation of large-scale AI systems within customer environments across Japan.

Key Responsibilities

  • Deploy and integrate AI infrastructure solutions in customer environments.
  • Manage and optimize Kubernetes-based platforms and Helm deployments.
  • Troubleshoot issues across AI platforms, distributed systems, networking, and infrastructure.
  • Develop automation tools, scripts, and operational workflows.
  • Collaborate closely with customers and internal engineering teams to ensure successful deployments and ongoing operations.
  • Serve as a trusted technical advisor throughout implementation and production support.

Required Qualifications

  • 5+ years of experience in Infrastructure Engineering, Platform Engineering, SRE, MLOps, Machine Learning Engineering, or related roles.
  • Strong software engineering skills with advanced Python proficiency.
  • Experience with Linux, Kubernetes, Helm, CI/CD, and infrastructure automation.
  • Solid understanding of distributed systems and cloud-native technologies.
  • Experience supporting production environments and troubleshooting complex systems.
  • Fluent Japanese and professional-level English communication skills.

Preferred Qualifications

  • Experience with AI/ML infrastructure, HPC, or large-scale compute environments.
  • Knowledge of AI serving frameworks such as vLLM or SGLang.
  • Experience with accelerator-based computing (GPU/AI hardware).
  • C++ development experience.
  • Enterprise customer-facing experience.

Language

  • Japanese: Business level
  • English: Business level

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