# AI Engineer

**Company:** [InnovationTeam](http://jobs.workable.com/companies/vvNKGHBooWSi4tNAk4nwu5.md)
**Location:** Riyadh, Saudi Arabia
**Workplace:** on site
**Employment type:** Full-time
**Department:** IT

[Apply for this job](http://jobs.workable.com/view/f7959ed2-e3ec-4800-8380-4b659e5270de)

## Description

Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment — GCP for public-cloud workloads, Humain sovereign cloud for classified data.

## Requirements

Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases.

**  
Run pre-deployment evaluation**

Accuracy baselines, regression and safety testing; evidence to justify GPU allocation.

  
Optimize inference — quantization, batching, context sizing — against measured usage.

  
Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC.

  
Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing.

  
Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift.

  
Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL).

## Benefits

5 years ML/AI engineering, in production LLM deployment with knowledge in

  
Python, PyTorch, Hugging Face

  
Kubernetes in production; GPU-served inference

  
GCP Vertex AI or any equivellent cloud