Senior AI Engineer

Talent Seed United Kingdom
Visa Sponsorship Relocation
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AI Summary

Shape the technical direction and bring ambitious AI concepts to life by designing systems that combine cutting-edge AI, strong infrastructure, and human-centred design. Develop and maintain complex, production-grade LLM-based systems across real-world use cases. Collaborate with engineers, tech leads, and the CTO to turn prototypes into scalable, reliable products.

Key Highlights
Shape technical direction and bring AI concepts to life
Design systems combining AI, infrastructure, and human-centred design
Develop and maintain complex LLM-based systems
Technical Skills Required
Python AI Engineering LLM-based systems Prompt engineering Custom evaluation frameworks Agentic systems Task decomposition Tool creation and orchestration Reliability engineering
Benefits & Perks
Relocation to Riyadh or Dubai
Visa sponsorship
Relocation package

Job Description


This role requires relocation to Riyadh or 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.


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