We are looking for an experienced Senior LLM Deployment & Inference Optimization Engineer to build and operate self-hosted inference infrastructure for LLMs, multimodal models, ASR, and TTS systems in the cloud. Your mission is to deliver a stable, low-latency, and cost-efficient inference platform that powers real-time conversations and voice interactions in AI-driven English learning classrooms. This is a senior, cross-functional engineering role focused on deploying, optimizing, and operating open-source inference engines and GPU infrastructure at scale, rather than developing inference kernels from scratch.

Responsibilities

• Design, deploy, and operate self-hosted cloud inference services for LLMs, multimodal models, ASR, and TTS systems , building highly available and elastically scalable inference infrastructure.
• Optimize and productionize open-source inference frameworks such as vLLM, SGLang, TensorRT-LLM...