At a glanceSummarised by Seekless from the posting.
Must have8
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
Fluent in both Arabic and English
About the company
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
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Support the deployment, configuration, and ongoing maintenance of AI platform components and services.
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Enable and support AI model serving, orchestration, and operational workflows across different environments.
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Configure and maintain environments required for AI systems and integrations.
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Support the integration of AI services into the broader system architecture and backend platforms.
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Monitor platform reliability, operational stability, and environment performance.
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Assist with troubleshooting, issue resolution, and operational support for AI-related services and deployments.
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Manage access control, environment configuration, and deployment coordination activities.
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Collaborate closely with backend, platform, and data engineering teams to ensure smooth delivery and operations.
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Participate in deployment planning, release support, and production operations activities.
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Contribute to improving platform scalability, automation, and operational efficiency.
Requirements
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4 to 6 years of relevant professional experience.
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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.