Deploy production LLMs remotely with NVIDIA inference technologies, GPU infrastructure, and Kubernetes-based settings 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 adaptable, 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 Vancouver (Canada)
🏢 FullStack
📍 Canada