Lead AI Engineer

Talent Seed; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A cutting-edge tech firm is seeking a skilled AI Engineer to shape the technical direction of innovative AI products. The role involves turning ambitious concepts into scalable systems that enhance customer experiences. Candidates should have hands-on experience with building LLM-based systems, strong software engineering fundamentals, and a deep understanding of evaluation frameworks. The position requires creative problem-solving within a collaborative environment. Relocation to Riyadh or Dubai is necessary for this role.

Qualifications

• Hands-on experience with LLM-based systems is essential.
• Strong intuition for model interpretation and instruction following is required.
• Experience designing evaluation frameworks that go beyond standard metrics is important.
• Engagement with the AI ecosystem and experimenting with new capabilities is a must.
• Ability to design systems that are scalable and maintainable is essential.

Responsibilities

• Shape the technical direction and bring AI concepts to life.
• Turn prototypes into scalable products for customer experiences.
• Design systems that incorporate AI with user-centered design principles.

Skills

Building complex LLM-based systems

Prompt engineering

Custom evaluation frameworks

Designing agentic systems

Engagement with AI ecosystem

Novel design approaches

Software engineering fundamentals

Architectural judgment

Fluency in Python

End-to-end systems ownership

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.