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 in Ottawa employer: FullStack
FullStack is an exceptional employer that offers life-changing career opportunities for talented software professionals across Canada. With a strong focus on diversity and inclusion, employees benefit from competitive pay, 100% remote work, and the chance to collaborate with leading startups and Fortune 500 companies. The company fosters a culture of continuous learning and growth, ensuring that every team member can thrive in their career while contributing to impactful AI-driven projects.
