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
• 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 Desired Candidate Profile

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.