AI Engineer

Jade Global · San Jose, CA · Onsite

Level not statedEngineeringPosted today

What they ask for

LLMsPythonPyTorchAzure · nice to haveKubernetes · nice to haveSnowflake · nice to have

About the role

AI Engineer1We're building a self-service LoRA / full fine-tuning platform for LLMs, deployed on AKS. This role owns the training pipeline and data pipeline — turning raw datasets into validated training inputs and running LoRA/full fine-tuning jobs on GPU infrastructure. What you'll do • Build and improve LoRA and full fine-tuning workflows (PyTorch + PEFT + CUDA) • Own dataset ingestion, transformation, and validation • Work within existing config and logging contracts shared with other platform teams What you need • Strong Python and hands-on PyTorch experience • Experience with LoRA or full fine-tuning of LLMs • Comfort debugging CUDA/GPU training workloads • Experience building data ingestion/validation pipelines Nice to have • vLLM or LLM inference-serving experience • Azure (Blob Storage, Snowflake) experience • Basic Kubernetes familiarity

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