Senior AI Engineering Lead

Talent Seed San Francisco Bay Area
Relocation
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AI Summary

Shape technical direction, design and develop AI systems, and collaborate with engineers and CTO to create scalable and reliable products.

Key Highlights
Technical direction and system design
Developing AI systems using Python
Collaboration with engineers and CTO
Key Responsibilities
Design and develop AI systems using cutting-edge AI, strong infrastructure, and human-centred design
Collaborate with engineers, tech leads, and CTO to create scalable and reliable products
Technical Skills Required
AI Engineering Hands-on experience building LLM-based systems Prompt engineering LLM evaluation Software engineering Python programming
Benefits & Perks
Relocation to Riyadh or Dubai provided
Relocation package provided

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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