AI Summary
Design and develop cutting-edge AI systems, combining AI, infrastructure, and human-centered design. Work with engineers, tech leads, and the CTO to create scalable and reliable products. Shape the technical direction and bring ambitious AI concepts to life.
Key Highlights
Design and develop cutting-edge AI systems
Combine AI, infrastructure, and human-centered design
Work with engineers, tech leads, and the CTO
Create scalable and reliable products
Shape the technical direction and bring ambitious AI concepts to life
Technical Skills Required
Benefits & Perks
Relocation to Riyadh/Dubai
Relocation package
Visa sponsorship
Job Description
**This role requires relocation to Riyadh/Dubai**
You’ll shape the technical direction and bring ambitious AI concepts to life, turning prototypes into scalable, reliable products that power next-generation customer experiences. Working closely with engineers, tech leads, and the CTO, you’ll design systems that combine cutting-edge AI, strong infrastructure, and human-centred design.
Experienced Required:
AI Engineering
- Hands-on experience building complex, production-grade LLM-based systems across real-world use cases.
- Advanced prompt engineering skills, with a strong intuition for how models interpret, prioritise, and follow instructions in multi-step and long-context workflows.
- Deep understanding of LLM evaluation—recognising the limits of off-the-shelf metrics and able to design custom evaluation frameworks that measure what truly matters.
- Experience designing agentic systems, including task decomposition, tool creation and orchestration, and reliability engineering for non-deterministic workflows.
- Actively engaged with the evolving AI ecosystem—tracking research, experimenting with new capabilities, and translating emerging ideas into practical solutions.
- Comfortable going beyond established patterns to design novel approaches when existing techniques are insufficient.
Software Engineering
- Strong grasp of software engineering fundamentals, including clean abstractions, separation of concerns, and writing maintainable, extensible code.
- Solid architectural judgment, with the ability to design systems that scale in complexity without sacrificing clarity or reliability.
- Fluency in Python, including its idioms, trade-offs, and edge cases.
- Comfortable owning systems end-to-end in production, including cloud infrastructure, observability, CI/CD, and operational lifecycle management.