Build and improve LoRA and full fine-tuning workflows for LLMs on GPU infrastructure deployed on AKS. Own dataset ingestion, transformation, validation, and training pipelines while maintaining shared configuration and logging contracts. The role requires strong Python and PyTorch experience, hands-on LLM fine-tuning, CUDA/GPU debugging, and data pipeline development. Preferred experience includes vLLM, Azure Blob Storage, Snowflake, and Kubernetes.
AI Engineer1
We'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
Jade Global San Jose, California, USA Office
2001 Gateway Pl, San Jose, California, United States, 95110 1076
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