Expert, AI Engineering

Job description

We are looking for an Applied LLM Engineer to design, fine-tune, and integrate large language models into practical internal applications such as AI assistants, knowledge systems, and workflow automation tools. You will play a key role in leveraging LLMs to build different AI Agents to enhance employee productivity, simplify information retrieval, and enable intelligent task automation. Job's Responsibilities Design and Architect LLM-Powered Internal Productivity Tools - Design the overall system architecture for complex LLM applications, ensuring scalability, security, and seamless integration with existing data sources and internal APIs. - Prototype and validate LLM applications through iterative testing with internal user groups. - Select appropriate models frameworks and create implementation roadmaps for LLM initiatives. - Ensure solutions adhere to security, privacy, and compliance standards for internal data. Develop and Optimize RAG Systems for Enterprise Knowledge Management - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, from document ingestion and chunking to vector indexing (e.g. using FAISS, Milvus, or tools from cloud providers etc.) and intelligent retrieval with re-ranking. - Design and optimize retrieval strategies, including hybrid search and re-ranking mechanisms. - Continuously experiment with and implement advanced techniques to improve retrieval accuracy, answer relevance, and system latency. - Own the health and evolution…