AI Engineer (mid-level/senior)

Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.

We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.

As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.

This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.

You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value

What You’ll Do

AI & Agent Development

• Design, develop, and optimize AI Agents
• Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
• Research and optimise the way we do things
• Contribute to the development of the Lucidya AI Agent platform

Production & Scalability

• Deploy AI models into production environments with a focus on scalability, performance, and reliability.
• Collaborate on MLOps practices to support continuous integration, monitoring, and improvement.
• Ensure AI systems integrate smoothly with existing platforms and workflows.

Cross-Functional Collaboration

• Work closely with software engineers, product managers, and domain experts
• Translate business problems into effective AI solutions with measurable outcomes.
• Contribute to solution design for enterprise solutions and long-term deployments.

Governance & Quality

• Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations.
• Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders.
• Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.