Knowledge Engineer (AI Data Engineer)

Description

Job Summary: We are seeking a Knowledge Engineer (RAG Data Engineer) to serve as the data architect, transforming unstructured data for AI agents using real-time RAG architectures. Key Highlights: 1. Design and optimization of Retrieval-Augmented Generation (RAG) architectures. 2. Management and curation of unstructured data for consumption by LLMs. 3. Creation of data pipelines for AI agents and cloud integration. DESCRIPTION **On behalf of our client in the Banking sector**, we are looking for a **Knowledge Engineer (RAG Data Engineer)** to act as the bridge between data and AI. You will be the architect responsible for transforming unstructured data into knowledge assets, ensuring that AI agents access accurate and optimized sources via real-time RAG architectures. ### **Responsibilities:** * **RAG Specialist:** Design and optimization of *Retrieval\-Augmented Generation* architectures. * **Unstructured Data Management:** Processing, cleaning, and curation of documents and logs for consumption by LLMs. * **Data Pipelines:** Creation of data pipelines serving as tools for AI agents. * **Cloud Integration:** Management of information sources in scalable environments. REQUIREMENTS ### **What Are We Looking For?** * **AI & Data:** Minimum **1 year** of experience with RAG solutions and **3 years** as a Data Engineer. * **Technology Stack:** Preferred experience with **Azure** and **Azure Databricks**. * **Languages:** Intermediate English (technical reading proficiency). * **Education:** Bachelor's degree in Engineering or related fields (open to non-graduates with solid experience).