Hamza

Ai Engineer

i2c • Temps plein

Feb 2023 - Present • 3 yrs 3 mos

As an AI Engineer, I work at the intersection of cutting-edge research and real-world AI applications. My role focuses on designing and implementing scalable solutions using Large Language Models (LLMs) and advanced data engineering tools. Developed and deployed end-to-end Retrieval-Augmented Generation (RAG) pipelines to enhance context-aware responses in AI systems. Designed custom embedding and clustering algorithms for domain-specific data processing. Engineered agentic AI workflows capable of autonomous task execution and dynamic decision-making. Hands-on experience with vector databases and graph-based RAG systems for efficient information retrieval. Conducted research on emerging AI algorithms and industry trends to integrate the latest advancements into our solutions. Built robust data pipelines using ETL tools like Mistral and Unstructured.io to transform unstructured data into AI-ready formats. Applied prompt engineering techniques to fine-tune model behavior and improve output reliability across various use cases. Collaborated cross-functionally with data scientists, ML engineers, and product teams to drive innovation and accelerate AI adoption. Currently working on advanced RAG architectures, hybrid search strategies, and optimization of vector databases for large-scale, production-ready deployments.