Sr. AWS Engineer

Join Our Client's Team as an AI Documentation & LLM Specialist! Are you passionate about leveraging cutting-edge AI to transform how businesses interact with information? Our client is seeking a highly skilled AI Documentation & LLM Specialist to design, optimize, and standardize knowledge workflows using AWS AI services. This is an exciting opportunity to work with large language models and advanced AI tools to improve documentation quality at scale. What You’ll Do: • Design and implement documentation ingestion workflows using Amazon Q Business and other AWS AI services • Develop and maintain data preprocessing pipelines, with a focus on improving data quality • Lead initiatives to standardize and enhance documentation quality across the organization • Assess response quality using ground truth analysis to optimize LLM outputs for business use cases • Establish and monitor content quality metrics to ensure high standards • Collaborate with content owners to improve documentation structure, chunking, metadata, and vectorization strategies What We’re Looking For: • Experience with AWS AI services, including Amazon Q Business and Amazon Bedrock • Knowledge of prompt engineering and RAG (retrieval-augmented generation) implementation • Understanding of content chunking, vectorization, and metadata strategies • Proficiency in Python programming • Experience in data quality assessment and content standardization methodologies • Hands-on experience with large language models (LLMs) • Strong planning, problem-solving, analytical, and communication skills • Ability to maintain a high degree of accuracy and confidentiality Why You’ll Love Working Here: • Collaborate with a forward-thinking team pushing the boundaries of AI • Influence the way large-scale knowledge and AI interact in a business context • Tackle complex challenges with innovative AI solutions If you’re ready to combine your AI expertise with hands-on work to improve content quality and LLM performance, we want to hear from you!