Build enterprise-grade LLM applications using techniques such as RAG, tool calling, structured
Implement and optimize LLM inference, including model serving, quantization, caching, batching, and
Develop LLM evaluation frameworks covering accuracy, relevance, hallucination, safety, latency, and
Work with open-source and commercial foundation models and assess their suitability for specific
Build reusable components for enterprise AI applications, including knowledge retrieval, model

🎯 Requirements

Bachelor's degree in computer science, Software Engineering, Computer Information Systems (CIS), AI
7+ years of experience in AI Engineering.
Experience working with Clients / Government / Consulting / GCC / Saudi market.
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

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