100% Remote Golang Developer with Devops/LLM exp. || W2 Consultant

Hi, Hope you are doing well, Please find the job description given below and let me know your interest. Position: 100% Remote Golang Developer with Devops/LLM exp. || W2 Consultant Location: Remote Duration: 6-12 months Visa: Only USC, GC Job Description We are looking for devs with general cloud services / distributed services experience, with LLM experience as a secondary skill. GPU experience is now low on the list of preferred skills: Dedicated Inference Service 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, bolthires/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. Your 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 AMD and NVIDIA GPUs, using software like CUDA, ROCm, AITER, NCCL, RCCL, etc. • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing etc. What You'll Be Working On- • 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 AMD GPUs for a variety of model architectures. • Contribute to open source inference engines to make them perform better on DigitalOcean cloud. Thanks & Regards, Gaurav Gaur Email: [email protected] | Phone : 972-645-9280 LinkedIn: DMS Vision ,INC 4645 Avon Lane, Suite 210 Frisco, TX 75033 Apply tot his job Apply tot his job