This role requires relocation to 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, robust infrastructure, and human-centred design.

Experience 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.

📌 Lead AI Engineer [Dubai] (Montreal)
🏢 Talent Seed
📍 Montreal