Golang Developer with DevOps/LLM Experience - Remote / Telecommute

Job Description: Required Skills: • Proficiency in Golang for building scalable and performant backend services. • Deep experience building services in modern cloud environments on distributed systems (i.e., containerization (Kubernetes, Docker), infrastructure as code, CI/CD pipelines, APIs, authentication and authorization, data storage, deployment, logging, monitoring, alerting, etc.) • Experience working with Large Language Models (LLMs), particularly hosting them to run inference. • Strong verbal and written communication skills. • Candidates job will involve communicating with local and remote colleagues about technical subjects and writing detailed documentation. • Experience with building or using benchmarking tools for evaluating LLM inference for various models, engine, and GPU combinations. • Familiarity with various LLM performance metrics such as prefill throughput, decode throughput, TPOT, and TTFT. • Experience with one or more inference engines: e.g., vLLM, SGLang, and Modular Max. • Familiarity with one or more distributed inference serving frameworks: e.g., llm-d, NVIDIA Dynamo, and Ray Serve etc. • Experience with client and NVIDIA GPUs, using software like CUDA, ROCm, AITER, NCCL, Client, etc. • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing etc. • Develop and maintain an inference platform for serving large language models optimized for the various GPU platforms they will be run on. • Work on complex AI and cloud engineering projects through the entire product development lifecycle (PDLC) - ideation, product definition, experimentation, prototyping, development, testing, release, and operations. • Build tooling and observability to monitor system health, and build auto tuning capabilities. • Build benchmarking frameworks to test model serving performance to guide system and infrastructure tuning efforts. • Build native cross platform inference support across NVIDIA and client GPUs for a variety of model architectures. • Contribute to open source inference engines to make them perform better on DigitalOcean cloud. Apply tot his job