AI Engineer
Jade Global
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- Location
- San Jose, United States
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 4
- 1 day ago
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Career path
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About the company
Jade Global
Information technology and services · 1,001 to 5,000 employees
What you'll do
- Build and improve LoRA and full fine-tuning workflows
- 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
- vLLM or LLM inference-serving experience (preferred)
- Azure (Blob Storage, Snowflake) experience (preferred)
- Basic Kubernetes familiarity (preferred)
Key skills
PythonPyTorchLoRAfull fine-tuningCUDA/GPU trainingdata ingestion/validation pipelinesvLLMLLM inference-servingAzureBlob StorageSnowflakeKubernetes
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Read the full posting here
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