Location: San Jose, CA
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
Additional Locations: Irving, TX
Job description provided by Jade Global.
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