LLM Engineer

• Design challenging, domain-relevant tasks across GPU kernels, performance profiling, debugging, and inference serving, and write accurate, well-structured solutions
• Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, training infrastructure, and framework-level topics
• Evaluate MLOps and ML systems tasks and solutions and provide clear, written technical feedback
• Develop guidelines and detailed rubrics or evaluation frameworks covering kernel-level optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs
• Collaborate with subject matter experts to keep training data consistent and accurate
• Contribute to AI model training and evaluation work by writing and assessing MLOps and ML systems tasks and solutions for frontier AI training data

LLM Engineer jobs in Canada

MLOps Engineer, LLM Systems, Serving, GPU Kernels, Profiling