LLM Platform Engineer

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profile Job Location:

Charlotte, VT - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: LLM Platform Engineer

Location: Charlotte NC (Onsite)

Required Skills:

On-premise requirements: (Arize AI Claude Cowork GCP Terraform) Nvidia GPU Environment

Primary Skills

  • OpenShift Functions
  • OpenShift AI
  • Kubernetes
  • LLM Deployment & Serving
  • GCP
  • Terraform
  • Arize AI
  • Claude Cowork

Key Responsibilities

  • Deploy configure and manage LLM workloads in on-premise OpenShift environments.
  • Design scalable AI/ML infrastructure using OpenShift Functions and Kubernetes.
  • Build and optimize enterprise-grade GenAI platforms for inference workloads.
  • Implement model deployment scaling and monitoring strategies for LLMs.
  • Integrate observability and AI monitoring using Arize AI.
  • Automate infrastructure provisioning and platform management using Terraform.
  • Collaborate with AI/ML engineering teams to operationalize LLM solutions.
  • Support hybrid cloud integrations with GCP-based services where applicable.
  • Troubleshoot performance bottlenecks in GPU-enabled environments.

Required Qualifications

  • Strong hands-on experience with OpenShift/OCP and Kubernetes.
  • Experience deploying and managing LLMs in enterprise environments.
  • Understanding of AI/ML serving architectures and inference optimization.
  • Experience with Terraform and infrastructure automation.
  • Knowledge of AI observability and monitoring platforms.
  • Familiarity with GenAI ecosystems and enterprise AI workflows.
  • Experience with GPU orchestration and NVIDIA-based AI infrastructure.

Job Title: LLM Platform Engineer Location: Charlotte NC (Onsite) Required Skills: On-premise requirements: (Arize AI Claude Cowork GCP Terraform) Nvidia GPU Environment Primary Skills OpenShift Functions OpenShift AI Kubernetes LLM Deployment & Serving GCP Terraform Arize AI Claude Cowork K...
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