Staff Applied AI Engineer

Job Summary

To set the technical direction for transforming unstructured insurance data into structured, explainable facts at scale, the full-time Staff Applied AI Engineer will lead applied AI initiatives focused on document extraction, classification, and entity matching, while working remotely.

Key responsibilities

• Lead the technical, data, and project aspects of key applied AI initiatives, ensuring accuracy, cost-efficiency, and reliability
• Own the evaluation infrastructure and set architectural decisions across data science and backend systems
• Partner with product and business owners to tie model outputs directly to customer value and drive firm-wide decisions

Required qualifications

• 8+ years of engineering experience, with 5+ years in building and operating ML or LLM systems in production
• Proven track record as the technical lead on a major applied AI initiative or product
• Deep expertise in LLM-based systems, including structured extraction and classification
• Mastery of applied machine learning, NLP, statistics, and proficiency in Python and its data libraries
• Experience with AWS and serverless technologies, and a strong understanding of cloud environments