Ai Infrastructure Engineer

Berkeley Research Group

Fully remote
Terraform or opentofu modules
Azure kubernetes service (aks)
Python scripting fundamentals
Berkeley Research Group (BRG) is seeking a Junior AI Infrastructure Engineer to support its Virtual AI Lab initiative. The role involves designing and implementing scalable infrastructure on Azure to handle high volumes of document processing, with a focus on hands-on work and collaboration in a distributed team environment

Job Summary

  • The role focuses on building a virtual access layer for the Virtual AI Lab to enable remote access to high-performance computing resources.
  • Candidates will design and maintain Azure-based infrastructure capable of processing over 100,000 documents daily using state-of-the-art LLMs.
  • This is a hands-on junior engineering position where you will take ownership of well-scoped infrastructure tasks while learning from senior engineers.

Matching Summary

Match Score: 85

Berkeley Research Group (BRG) is seeking a Junior AI Infrastructure Engineer to support its Virtual AI Lab initiative. The role involves designing and implementing scalable infrastructure on Azure to handle high volumes of document processing, with a focus on hands-on work and collaboration in a distributed team environment.

Skills & Requirements

Must-have

  • Terraform or OpenTofu modules
  • Azure Kubernetes Service (AKS)
  • Python scripting fundamentals
  • CI/CD and GitOps workflows
  • OpenTelemetry observability

Nice-to-have

  • ArgoCD or Flux exposure
  • LangChain or Haystack familiarity
  • Prometheus and Grafana dashboards
  • Docker containerization skills
  • Self-directed learning attitude

Key Requirements

  • Bachelor's degree in Computer Science
  • 1-3 years of engineering experience
  • Strong English communication skills

Work Rights

Not specified

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