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 versatile, 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 teamsDeploy and self-host LLMs on production GPU infrastructureServe and scale inference workloads across GPU clustersOperate Kubernetes environments using NVIDIA GPU OperatorImplement guardrails for production LLM applicationsRequirements: Five or more years of relevant professional experienceAdvanced English and a four-year college degreeHands-on NVIDIA NIM, Ne Mo, Tensor RT-LLM, and Triton experienceUnderstanding of LLM inference optimization and model servingFull-time work authorization without visa sponsorshipApply NVIDIA inference, LLM deployment, and GPU operations expertise as a remote Senior AI Engineer with Full Stack clients.#J-18808-Ljbffr