Trellis Law, the leading provider of state trial court data in the US, is seeking an experienced AI/LLM Engineer to join their Engineering team. This role offers an opportunity to work on cutting-edge AI and Machine Learning technologies in the legal domain.
As an AI/LLM Engineer at Trellis Law, you will:
- Design features connecting natural language queries with a large corpus of legal knowledge
- Build clean, scalable architecture to support a rapidly growing user base and data volume
- Work on backend services, data flows, and analytics
- Organize, transform, and serve large data sets in a high-speed, high-volume environment
- Build and fine-tune LLMs for domain-specific use cases
- Evaluate LLMs and LLM-based products
- Deploy custom machine learning models and work on end-to-end ML pipelines
- Collaborate with the Product team to understand and implement new features
The ideal candidate will have:
- 7+ years of backend engineering experience, with 3-4 years building products using LLMs
- 1-2 years experience fine-tuning LLMs and evaluating LLM-based products
- 4-5 years experience deploying custom ML models and working on end-to-end ML pipelines
- Python proficiency and knowledge of SageMaker and Bedrock
- Strong understanding of Machine Learning, specifically Large Language Models
- Experience mentoring other Engineers
- BS/MS in Computer Science or related field, or equivalent work experience
Trellis Law offers a flexible remote-first work culture, comprehensive health benefits, 401(k) with employer matching, and a flexible vacation policy. They value diversity and maintain an inclusive work environment.
Join Trellis Law to be part of an innovative team leveraging AI to transform the legal data landscape!