Remote AI Infrastructure Engineer (GPU) - Remote EMEA

Posted 2 months ago

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Description:

  • Fully remote position for an AI Infrastructure Engineer in the EMEA timezone.
  • Focus on building scalable, reliable, and efficient ML inference platforms for AI applications.

Requirements:

  • 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar roles.
  • Hands-on experience with model serving frameworks (vLLM, TGI, Triton).
  • Strong background in container orchestration and GPU-based workloads.
  • Proficiency in Python and infrastructure-as-code tools (Terraform, Helm).
  • Understanding of distributed systems and production reliability engineering.
  • Ability to work independently in a remote-first environment.

Benefits:

  • Ownership of critical infrastructure in a rapidly scaling AI-native cloud platform.
  • Opportunity to build foundational ML inference systems in a high-growth startup.
  • Gain expertise in next-generation AI infrastructure and large-scale model serving.

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