AI Backend Integration Architect

atmaal; Riyadh; On-site; SAR 180,000 - 240,000; Full time

Job summary

atmaal is seeking an AI Integration Engineer in Riyadh to develop high-performance backend services using Python and Node.js, and to design APIs for internal and external platforms.

You will implement secure authentication, caching with Redis/Memcached, and containerized deployments on Kubernetes environments to ensure scalability and low latency. Collaboration with frontend, data engineering, and DevOps teams is essential.

Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or related field.
• 3–7 years of experience developing backend services.
• Strong hands-on experience with Python and Node.js.
• Proven experience building and maintaining RESTful and SOAP APIs.
• Experience implementing OAuth 2.0, JWT, and RBAC for secure integrations.
• Experience with Docker, Kubernetes, CI/CD pipelines, and scalable backend architectures.
• Familiarity with Prometheus and Grafana.

Responsibilities

• Design, document, and maintain backend AI integration solutions including RESTful and SOAP APIs.
• Ensure adherence to technical standards, secure coding practices, and CI/CD pipelines.
• Oversee data ingestion, cleaning, and labeling processes to ensure data quality before model training.
• Coordinate model testing and validation, including functional, performance, and bias testing.
• Support production deployment processes and ensure proper rollback and release procedures.
• Monitor system performance and maintain monitoring dashboards to detect drift and trigger retraining workflows when required.

Job description

atmaal is seeking an AI Integration Engineer in Riyadh to develop high-performance backend services using Python and Node.js, and to design APIs for internal and external platforms.

You will implement secure authentication, caching with Redis/Memcached, and containerized deployments on Kubernetes environments to ensure scalability and low latency. Collaboration with frontend, data engineering, and DevOps teams is essential.