AI Engineer
Jade Global•San Jose, CA
About The Position
We're building a self-service LoRA and full fine-tuning platform for LLMs, deployed on AKS. This role owns the training and data pipelines: turning raw datasets into validated training inputs and running LoRA and full fine-tuning jobs on GPU infrastructure.
Requirements
- Strong Python skills and hands-on PyTorch experience.
- Experience with LoRA or full fine-tuning of LLMs.
- Comfort debugging CUDA/GPU training workloads.
- Experience building data ingestion and validation pipelines.
Nice To Haves
- vLLM or LLM inference-serving experience.
- Azure experience, including Blob Storage and Snowflake.
- Basic Kubernetes familiarity.
Responsibilities
- Build and improve LoRA and full fine-tuning workflows using PyTorch, PEFT, and CUDA.
- Own dataset ingestion, transformation, and validation.
- Work within existing configuration and logging contracts shared with other platform teams.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
