AI Engineer

Join

Jade Global

in

San Jose, CA (onsite)

to build practical LLM customization tooling. This AI Engineer role focuses on creating a

self-service LoRA and full fine-tuning platform

for models deployed on

AKS . You will own the end-to-end training and data workflows, from dataset ingestion and validation through to running

GPU training jobs , helping platform teams deliver fine-tuned models through consistent config and logging contracts. What you'll do

Build and iterate on

LoRA

and

full fine-tuning

workflows using

PyTorch

with

PEFT

and

CUDA Own

dataset ingestion , including

transformation

and

validation

to ensure training-ready inputs Operate within existing

configuration

and

logging

contracts shared with other platform teams What you'll bring

Strong Python

experience with hands-on

PyTorch Experience fine-tuning LLMs using

LoRA

and or

full fine-tuning Comfort debugging

CUDA

and

GPU training

workloads Experience building

data ingestion and validation pipelines Tools and technologies

You'll work across

Python ,

PyTorch ,

PEFT ,

CUDA , and

LoRA , alongside

Kubernetes

on

AKS . The platform stack also includes

vLLM ,

Azure Blob Storage , and

Snowflake . Nice to have

vLLM

or

LLM inference-serving

experience Azure

experience, including

Blob Storage

and

Snowflake Basic Kubernetes

familiarity

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