AI Engineer

Who we are: Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless. We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we’re excited to talk to you! Position Summary: The AI Engineer will work within the Research & Development (R&D) subdomain of Coterie’s broader Data and Analytics (DnA) department to build, test and deploy intelligent systems that enhance business operations, customer and product capabilities. This role combines applied machine learning, software engineering and responsible AI practices to deliver reliable, scalable and secure AI-enabled solutions in production environments. Key Responsibilities: Partner with DnA teammates, software engineers and business stakeholders to deliver high-impact, AI-enabled solutions Integrate AI capabilities into internal tools, customer-facing products and operational workflows using APIs, cloud services and modern software development practices Implement secure and compliant AI systems that align with company policies, regulatory expectations and responsible AI principles Productionalize AI and machine learning solutions including generative AI, natural language processing, predictive modeling and automation workflows Evaluate model performance, reliability, safety, bias, latency, cost and business impact; help establish monitoring and feedback loops for continuous improvement Assist with the documentation of technical decisions, system architectures and model assumptions Stay current on emerging AI tools, frameworks, model capabilities and industry best practices; recommend and implement pragmatic adoption strategies Required Qualifications: Bachelor’s degree or equivalent professional experience in Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics or a related quantitative field Intellectual curiosity Hands-on experience building machine learning or AI-powered applications Hands-on experience working with large language models, prompt engineering, embeddings, vector databases,...

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