Artificial Intelligence Engineer

Trellis Law is the leading provider of state trial court data in the U.S., leveraging AI and Machine Learning to transform complex data into actionable insights. They are seeking a seasoned AI/ML Engineer to build scalable architecture and work on backend services, data flows, and analytics to support their rapidly growing user base and data.

Responsibilities:

• Use your experience to design features connecting natural language queries with a large corpus of legal knowledge
• Build a data architecture you are proud to highlight
• 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

Requirements:

• At least 7 years of backend engineering experience, at least 2-3 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, e.g. experience evaluating extractive and abstractive summaries
• At least 4-5 years of experience deploying custom machine learning models and working on end-to-end ML pipelines, including with unstructured data
• Python proficiency and 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
• Experience building semantic search is a plus
• Startup experience is highly valued