Principal AI Engineer [Dubai / Riyadh]

Talent Seed; Montreal (administrative region); On-site; CAD 166,000 - 250,000; Full time

Job summary

A leading technology firm is seeking a candidate to shape the technical direction of AI products and bring ambitious concepts to life. Responsibilities include designing systems that integrate advanced AI with human-centred design. The ideal candidate has hands-on experience building complex, production-grade LLM systems and advanced prompt engineering skills. This role requires relocation to Riyadh or Dubai, offering opportunities to work on cutting-edge technology while collaborating closely with engineers and tech leads.

Qualifications

• Hands-on experience with production-grade AI systems.
• Strong intuition for model instruction and workflows.
• Designing effective evaluation frameworks for LLMs.
• Experience designing agentic systems with task decomposition and orchestration.
• Active engagement with evolving AI ecosystem and translating ideas into practical solutions.
• Ability to design novel approaches when existing techniques fall short.

Responsibilities

• Shape the technical direction for AI products.
• Work closely with engineers and tech leads.
• Design reliable systems combining AI and human-centred design.

Skills

Building complex, production-grade LLM-based systems

Advanced prompt engineering

LLM evaluation frameworks design

Designing agentic systems

Engagement with AI ecosystem

Novel approaches in design

Software engineering fundamentals

Architectural judgment

Fluency in Python

Cloud infrastructure management

Tools

Python

CI/CD

Cloud infrastructure

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:

• 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.