AI/LLM Engineer

At least 7 years of backend engineering experience At least 2-3 years of which were spent building products using LLMs At least 1-2 years of experience fine-tuning LLMs for domain-specific and otherwise custom use-cases At least 1-2 years of experience building or using tooling to evaluate LLMs and LLM-based products At least 4-5 years of experience deploying custom machine learning models and working on end-to-end ML pipelines, including with unstructured data Experience building semantic search is a plus Python proficiency Working knowledge of SageMaker and Bedrock Strong understanding of Machine Learning, specifically Large Language Models Have mentored other Engineers in multiple projects BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience

Design features connecting natural language queries with a large corpus of legal knowledge Build a data architecture Use unstructured data to build large scale data sets Work on a team dedicated to ML and Data Science with ownership of multiple projects and products Collaborate with the Product team to understand new features