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Builds and optimizes a distributed inference framework for AI workloads, focusing on intelligent routing, auto-scaling, and observability in a Kubernetes-native environment using Go, Python, or Rust.
Designs and builds AI agent systems that orchestrate LLM/multimodal models, tools, and execution environments into closed-loop cognitive–planning–execution workflows for physical-world applications.
Senior SRE/DevOps Engineer designs, builds, and optimizes large-scale AI accelerator clusters (GPU/NPU) and Kubernetes infrastructure for an AI software company operating hundreds of nodes in its own data center.
Builds and runs large-scale LLM training systems in production, focusing on reinforcement learning, reasoning, code generation, and synthetic data pipelines using PyTorch, CUDA, and DeepSpeed.
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