Deploy production LLMs remotely with NVIDIA inference technologies, GPU infrastructure, and Kubernetes-based environments for Full Stack clients.
As a Senior AI Engineer, you will connect with United States clients through Full Stack’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, Ne Mo, Tensor RT-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 Full Stack clients.