Deploy production LLMs remotely with NVIDIA inference technologies, GPU infrastructure, and Kubernetes-based environments for FullStack clients. As a Senior AI Engineer, you will connect with United States clients through FullStack’s talent network. The work involves integrating with client teams on flexible, project-based development assignments. You will apply AI/ML engineering, software engineering, and machine learning infrastructure expertise to complex systems. Key Responsibilities:

Integrate directly into client engineering and design teams Deploy and self-host LLMs on production GPU infrastructure Serve and scale inference workloads across GPU clusters Operate Kubernetes environments using NVIDIA GPU Operator Implement guardrails for production LLM applications Requirements:

Five or more years of relevant professional experience Advanced English and a four-year college degree Hands-on NVIDIA NIM, NeMo, TensorRT-LLM, and Triton experience Understanding of LLM inference optimization and model serving Full time work authorization without visa sponsorship Apply NVIDIA inference, LLM deployment, and GPU operations expertise as a remote Senior AI Engineer with FullStack clients.

📌 Senior NVIDIA LLM Inference Engineer (Toronto)
🏢 FullStack
📍 Toronto