V
Staff Applied AI Engineer
Virtual Vocations Inc
30 minutes ago
Full-time
On-site
New York City, New York, United States
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
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