Senior AI Engineer Consultant

Key Responsibilities:

• Build enterprise-grade LLM applications using techniques such as RAG, tool calling, structured generation, prompt engineering, and agentic workflows.
• Implement and optimize LLM inference, including model serving, quantization, caching, batching, and GPU utilization where relevant.
• Develop LLM evaluation frameworks covering accuracy, relevance, hallucination, safety, latency, and cost.
• Work with open-source and commercial foundation models and assess their suitability for specific use cases.
• Build reusable components for enterprise AI applications, including knowledge retrieval, model gateways, evaluation pipelines, and agent orchestration.

Qualifications

Required Qualifications & Skills:

• Deploy AI/ML workloads to cloud, on-premise, and hybrid environments.
• Work with Docker, Kubernetes, GPU infrastructure, and cloud AI/ML services.
• Implement model versioning, experiment tracking, monitoring, logging, and automated deployment pipelines.
• Optimize AI workloads for scalability, reliability, latency, and cost.
• Troubleshoot production AI systems and continuously improve system performance

Education:

Bachelor's degree in computer science, Software Engineering, Computer Information Systems (CIS), AI and Data.

Professional Experience

• 7+ years of experience in AI Engineering.

• Experience working with [Clients / Government / Consulting / GCC / Saudi market].

Soft Skills

• Strong communication and presentation skills.

• Strong stakeholder management and interpersonal skills.

• Analytical and problem-solving capabilities.

• Consulting and client-facing mindset.

• Ability to work independently and collaboratively.

• Strong organizational and time-management skills.

Additional Information

Language Requirements

• Arabic Speakers
• English

Location & Employment Details

• Location: Riyadh
• Employment Type: Full-time.