ARK Infotech Spectrum
ARK Infotech Spectrum

LLM Inference & GPU Systems Consultant

Charlotte, NC, US • Posted 2 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
6 Months
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LLM Systems Engineer
  • NVIDIA H200
  • KV Cache
  • OpenShift AI
  • GPU
  • RunAI
  • vLLM
  • TensorRT-LLM

Summary

Role : LLM Inference & GPU Systems Consultant

Location  : Charlotte , NC ( Locals only)

 

We are seeking an AI Infrastructure Runtime Engineer to build and maintain large-scale on-prem LLM infrastructure. This is an enterprise private GenAI environment running on NVIDIA H200 GPU clusters and an OpenShift AI deployment ecosystem. You will manage production inference internally, including self-hosting open-source LLMs like Llama. We are focused exclusively on inferencing; this role involves no model training infrastructure or fine-tuning pipelines.

Key Responsibilities
NVIDIA GPU Runtime Optimization: Drive extreme runtime efficiency and optimization for the token generation pipeline. Specifically manage prefill/decode optimization and KV cache management.
Inference Serving: Deploy and manage inference engines including vLLM and TensorRT-LLM.
Hardware Utilization: Optimize GPU throughput tuning, batching strategies, and latency optimization. Manage workload orchestration using RunAI and Kubernetes GPU orchestration.
Model Lifecycle Management: Oversee the complete Hugging Face model lifecycle, including model onboarding, deployment, and retirement.
Platform Operations: Operate and maintain the OpenShift AI ecosystem as the primary container platform for GenAI workloads.

Required Qualifications
8+ years experience working as an LLM Systems Engineer or AI Infrastructure Runtime Engineer.
8+ years hands-on experience with NVIDIA H200 clusters and runtime optimization techniques (KV Cache, prefill/decode).
Proficiency in OpenShift AI and GPU orchestration tools like RunAI.
Strong experience with modern inference frameworks, specifically vLLM and TensorRT-LLM.
Proven track record managing the Hugging Face deployment lifecycle.
Must be onsite at client in Charlotte, NC at least 3 days/week

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90970970
  • Position Id: 8973788
  • Posted 2 hours ago
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