LLM/ML Engineer (Inference) at Reducto

Philosophy: You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them. Experience: You have deep expertise in Python and PyTorch, with a strong foundation in low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale. You're experienced with modern inference systems like TGI, vLLM, TensorRT-LLM, and Optimum, and comfortable creating custom tooling for testing and optimization. Approach: You combine technical expertise with practical problem-solving. You're methodical in debugging complex systems and can rapidly prototype and validate solutions. Architecting and implementing robust, scalable inference systems for serving state-of-the-art AI models Optimizing model serving infrastructure for high throughput and low latency at scale Developing and integrating advanced inference optimization techniques Working closely with our research team to bring cutting-edge capabilities into production Building developer tools and infrastructure