AI Platform Engineer - Hybrid - KSA - (10 Months) - RTG
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About the Role
Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers.
Key Skills for This Role
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Overview
Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers.
We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.
About The Role
- We are looking for an AI Platform Engineer to support the deployment, configuration, and operational management of AI platform components within our solution ecosystem.
- In this role, you will work closely with engineering, backend, and data teams to enable reliable AI model serving, orchestration, and integration across production environments.
- You will play a key role in ensuring platform reliability, environment management, operational support, and smooth deployment processes for AI-powered systems and services.
- Key Responsibilities* Support the deployment, configuration, and ongoing maintenance of AI platform components and services.
- Enable and support AI model serving, orchestration, and operational workflows across different environments.
- Configure and maintain environments required for AI systems and integrations.
- Support the integration of AI services into the broader system architecture and backend platforms.
- Monitor platform reliability, operational stability, and environment performance.
- Assist with troubleshooting, issue resolution, and operational support for AI-related services and deployments.
- Manage access control, environment configuration, and deployment coordination activities.
- Collaborate closely with backend, platform, and data engineering teams to ensure smooth delivery and operations.
- Participate in deployment planning, release support, and production operations activities.
- Contribute to improving platform scalability, automation, and operational efficiency.
Requirements
- 4 to 6 years of relevant professional experience.
- Experience in AI Platform Engineering, MLOps, Platform Enablement, or similar engineering roles supporting AI systems in production environments.
- Experience supporting model deployment, environment configuration, service integration, and operational troubleshooting.
- Strong understanding of deployment workflows, operational support, and production environment management.
- Strong coordination and collaboration skills across backend, platform, and data engineering teams.
- Excellent troubleshooting and problem-solving capabilities.
- Ability to work in fast-paced and cross-functional technical environments.
- Language Requirements* Fluent in both Arabic and English.
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