AI Engineer📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
Job Description
About Mozn and the AI Engineer Role
Mozn is a leading Enterprise AI company specializing in Financial Crime Prevention and Enterprise Knowledge Intelligence. We are seeking a Full-time AI Engineer to join our diverse and collaborative team in Riyadh, Riyadh Province. This role is suitable for professionals with 2-5 years of experience who are dedicated to building AI solutions that deliver tangible business value.
Role Overview
The AI Engineer will lead the design, deployment, and optimization of machine learning and generative AI solutions. This position involves applying advanced ML techniques to solve real-world challenges for government and enterprise clients across Saudi Arabia, contributing to the advancement of intelligent enterprises.
Key Responsibilities
- Design, build, and scale machine learning models and infrastructure.
- Deploy deep learning and generative models into production for public and private sector projects.
- Optimize ML training and inference for performance, latency, and scalability.
- Monitor, retrain, and improve deployed ML models.
- Drive consultation efforts, providing expert guidance to client stakeholders.
- Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations.
- Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data.
- Develop backend services and APIs to expose AI capabilities securely and reliably.
- Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions.
- Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms.
Required Qualifications
- 3-5 years of professional experience in an AI engineering or related role.
- Strong track record of successfully delivering projects across public and private sectors.
- Demonstrated end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment.
- Ability to independently build functional AI applications from prototype through production.
Technical Expertise
- Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices.
- Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services.
- Experience building data ingestion, transformation, and processing pipelines.
- Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces.
- Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services.
- Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery.
Company Culture
Mozn cultivates a culture that emphasizes excellence and meaningful impact. The team is diverse and collaborative, focused on building AI that delivers business value, builds trust, and empowers organizations with augmented intelligence. We offer an environment that supports autonomy to enable team members to perform their best work.
Requirements
- Requires 2-5 Years experience
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