LLM Infrastructure Engineer

We are seeking an LLM Infrastructure Engineer with hands-on experience building the systems that power large language models. This is a full-time, hands-on engineering role focused on designing, deploying, and scaling the infrastructure behind model training, fine-tuning, and inference. You will work closely with machine learning and engineering teams to make sure models run reliably, efficiently, and cost-effectively in production. The ideal candidate understands both the demands of LLM workloads and the cloud systems needed to support them at scale.

• Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models
• Deploy and scale LLM inference services with a focus on latency, throughput, and reliability
• Manage GPU compute resources and optimize workload scheduling and utilization
• Build and maintain data pipelines that support model training and evaluation