AI Engineering Jobs in Saudi Arabia
There are 57 open AI Engineering jobs in Saudi Arabia on freehire right now. 5 of them were posted recently. The skills employers ask for most often are ai, python and machine-learning.
Most requested skills
- ai 95%
- python 72%
- machine-learning 65%
- api 60%
- cloud 56%
- llm 47%
- docker 44%
- rag 40%
How the work is done
- Remote 2 · 4%
- Hybrid 1 · 2%
- Onsite 1 · 2%
Visa sponsorship offered in 100% of the 5 postings that state a position on it.
Seniority
- Senior 16
- Lead 3
- Staff 3
- Intern 1
- Junior 1
Who is hiring
- 1000+ employees 6
- 11-50 employees 3
- 501-1000 employees 1
AI Systems Architect - LLM & Vector Infrastructure
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.


Backend Engineer - Applied AI
Backend Engineer for Eazli, an AI-native marketplace in Jeddah, building scalable APIs and AI-integrated services for home products/services. Core tech: Python, FastAPI, PostgreSQL, Kafka, Redis, Kubernetes, and AWS.
AI Engineer
Build and deploy AI models to improve diagnostics and hospital workflows using Python, TensorFlow, and PyTorch.
AI Engineer
Build and ship AI-powered features for a corporate expense management platform, integrating LLMs, RAG, and agent workflows to automate finance operations like expense categorization and policy enforcement.
AI Engineer
Build and maintain AI infrastructure and cloud environments for government AI projects, including MLOps pipelines, model serving, and security protocols.
AI Engineer
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…
Applied AI Engineer: End-to-End ML & MLOps
Build and deploy end-to-end machine learning systems in Python to improve user experience and collaborate with cross-functional teams.
Generative AI Expert
Design and deploy generative AI models (LLMs, ML) to transform HR and corporate services at a large government enterprise, advising leaders and building AI teams.
Senior Forward Deployed AI Engineer
Build cloud-native enterprise apps that integrate AI features like LLMs, RAG, and agents, working with customer teams to solve real business problems.
AI Engineer: Build & Deploy Real-World AI Solutions
Design, develop, and deploy AI-powered solutions to enhance business processes and products using machine learning and data analysis.
AI Software Engineer — ML Models & Deployment (Remote)
Design, build, and deploy AI models and algorithms for client needs, collaborating with data scientists and engineers to integrate AI into applications.
AI Engineer, Saudi Arabia
AI Engineer leads technical sales, demos, and integrations, builds AI agents, and manages a regional team to deploy and localize AI solutions for customers.
AI Engineer: Build Predictive ML Solutions
Design and deploy AI/ML models using Python, TensorFlow, and PyTorch to build predictive solutions and drive digital transformation across industries.
Senior AI Engineer
Build and deploy generative AI features (LLMs, RAG) and traditional ML models, owning the full lifecycle from data pipelines to production deployment.
Senior AI Engineer
Build production-grade AI agents and retrieval systems using Microsoft Foundry, Azure AI Search, and MCP for enterprise clients in the Middle East and Africa.
Senior AI Engineer - Professional Services - KSA
Build and deploy AI solutions for enterprise customers, including predictive models, GenAI chatbots, and agentic AI systems using Python, LangGraph, and Kubernetes.
AI Engineer
Build and deploy AI models for a Jeddah hospital, using Python and ML frameworks to improve diagnostics and patient care.
Senior AI Engineer - Saudi National
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
Senior AI & GenAI Engineer — ML, LLMOps, RAG
Design, develop, and deploy ML and Generative AI solutions for a gold and base metals company, focusing on model robustness and business problem-solving.
Applied AI Engineer
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.