We have partnered with a large, established family conglomerate in Saudi Arabia to hire an AI Engineer.

This is a business with deep roots, significant assets and a leadership team that has made a serious commitment to embedding AI across its operations. The scale of what is being built here is rare, and for an AI Engineer at this stage of their career, the exposure, complexity and longevity of the work on offer is genuinely compelling.

This is a hands-on role for someone who builds AI systems that ship and perform in production, across a diverse portfolio of business functions.

About the role:

• Design, build and deploy production-grade AI and ML systems across multiple business units within the Group
• Develop LLM-based applications including RAG pipelines, agentic workflows and tool-use systems that solve real business problems
• Build and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architecture
• Work with vector databases, embedding models and retrieval frameworks to deliver accurate, scalable AI solutions
• Ensure deployed systems meet production standards across performance, reliability, observability and cost efficiency
• Collaborate with product, data and engineering stakeholders to translate business requirements into well-architected AI solutions

Desired Candidate Profile

• 3 to 5 years of hands-on experience in AI or ML engineering with a clear track record of deploying systems into production
• Strong Python skills and practical experience with frameworks such as TensorFlow, PyTorch or Hugging Face
• Hands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvector
• Familiarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patterns
• Solid understanding of cloud platforms including AWS, Azure or GCP
• Strong communicator comfortable working across technical and non-technical teams