Artificial Intelligence Engineer

AIQU; Riyadh; On-site; SAR 350,000 - 550,000; Full time

Job summary

AIQU in Riyadh seeks a Senior AI Engineer for Professional Services to design, deploy, and optimize AI-powered applications for client projects. You will build production-grade AI solutions, fine-tune models, and collaborate with customers to translate requirements into scalable architectures.

The role emphasizes hands-on development with Python, data science libraries, REST APIs, and MLOps, along with cloud-native practices and secure, reliable software delivery.

Qualifications

• Masters or PhD in Computer Science, Statistics, Artificial Intelligence, Engineering or related quantitative field.
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
• Familiarity with the DataRobot AI Platform is a strong plus.
• Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
• Strong proficiency in Python and common data science libraries.
• Experience with Generative AI technologies and LLMs.
• Knowledge of agentic AI lifecycle and deployment at scale.
• Experience building REST APIs to serve ML models and GenAI logic.
• Containerization with Docker and deployment on Kubernetes.
• Secure application development practices including OAuth and secrets management.

Skills

Python

Pandas

Scikit-learn

NumPy

Generative AI

LLMs

MLOps

Docker

Kubernetes

REST APIs

Education

Masters or PhD in CS/Statistics/AI/Engineering

Tools

DataRobot

LangGraph

CrewAI

Job description

We are hiring for one of our clients for the below requirement in Riyadh

Role: Senior AI Engineer - Professional Services

Employment Type: Permanent, with one of our clients

Work Location: Riyadh, KSA

Notice Period: Immediate joiners to a maximum of 15-30 days of notice

Required Experience:

• Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.
• Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
• Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
• DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.
• MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
• Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).
• Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,
• Solid understanding of the end-to-end agentic AI lifecycle from building agents in framework(s) like LangGraph or CrewAI, to at scale deployment and monitoring.
• Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.
• Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).
• Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.
• Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.
• Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems