AI Engineer (Hybrid)

About the role

The AI Engineer will design and develop AI‑powered solutions across natural language, speech, image, document and structured data use cases. You will work closely with product, engineering and business teams to turn AI experiments into reliable, production‑ready features.

Key responsibilities

• Design and implement AI pipelines for text, audio, images, scanned documents, PDFs, forms and tables.
• Evaluate models on quality, speed, cost, reliability, scalability and business fit.
• Deploy AI services to production and integrate them with web, mobile, backend and internal systems.
• Monitor, test and optimise AI system performance through continuous iteration.
• Mentor engineers, review technical decisions and contribute to AI architecture best practices.

Required profile

• Hands‑on experience building AI systems with modern machine‑learning and deep‑learning models.
• Strong programming skills, especially in Python.
• Experience developing APIs, backend services and production‑ready software.
• Good understanding of model evaluation, data preparation, system design and deployment.
• Familiarity with servers, containers, databases and version control.
• Ability to research, compare and select suitable AI models and tools for business needs.

Required skills

• Python
• APIs / backend development
• Docker & containers
• Linux
• Git
• Cloud platforms
• Large language models
• Speech‑to‑text & text‑to‑speech
• Computer vision & OCR
• Multimodal AI
• GPU inference
• Arabic language AI (plus)