robusta
AIPlatformEngineer
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“AI Platform Engineer at robusta. Skills: AI Platform Engineering, MLOps, deployment, configuration, operational management. 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”
What You'll Achieve.
enable reliable AI model serving, orchestration, and integration across production environments; ensuring platform reliability, environment management, operational support, and smooth deployment processes for AI-powered systems and services
Industry & Context.
Excellent troubleshooting and problem-solving capabilities
Fluent in both Arabic and English
What They're Looking For.
Must Have
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, understanding of deployment workflows, operational support, and production environment management, 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
What You'll Do.
Support the deployment
and ongoing maintenance of AI platform components and services
Enable and support AI model serving
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
and operational support for AI-related services and deployments
Manage access control
environment configuration
and deployment coordination activities
Participate in deployment planning
and production operations activities
Contribute to improving platform scalability
and operational efficiency
How You'll Work.
Team & Collaboration
work closely with engineering, backend, and data teams; Collaborate closely with backend, platform, and data engineering teams
Communication Scope
Fluent in both Arabic and English
Process & Methodology
deployment planning, release support
Full Job Description
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, ML
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