AI Engineer
Jade Global
- Location
- Onsite (San Jose, California)
- Employment
- Full-time
- Level
- Mid Level
Posted Today
About the role
Jade Global is building a self-service platform for LLM fine-tuning, deployed on Azure Kubernetes Service. The role focuses on owning the training and data pipelines to transform raw datasets into validated inputs for LoRA and full fine-tuning workflows.
Skills
Python
PyTorch
LoRA
Fine-tuning
LLMs
CUDA
GPU
Data ingestion
Data validation
AKS
Kubernetes
vLLM
Azure
Blob Storage
Snowflake
Full job details
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