Applied AI Engineer

**About Corgi** Corgi is a full-stack insurance carrier building better, faster insurance products for startups. We’re not a broker, so we underwrite and issue policies directly, with fewer handoffs and less friction. Cutting out intermediaries lets us tailor coverage to how companies actually operate and price risk more efficiently. We build insurance products from the ground up, using AI and software to automate the workflows traditionally handled by large teams of brokers, underwriters, TPAs, accountants, and operations staff. Our goal is not to incrementally improve insurance, it is to rebuild the industry infrastructure itself. We move quickly, care deeply about talent density, and hire people who want to solve difficult problems with unusually high ownership. **About the Role** We're hiring an Applied AI Engineer to build and deploy AI systems that power our insurance companies and internal operations. You will work closely with engineering, product, operations, and leadership to develop AI-powered products and automate complex workflows across underwriting, claims, finance, compliance, and internal tooling. This is a highly hands-on role for someone who enjoys experimenting with emerging AI technologies, shipping quickly, and turning cutting-edge models into reliable production systems. **What You'll Do** * Build and deploy AI-powered applications, agents, and automation systems. * Design and implement LLM-based workflows across underwriting, claims, finance, and internal operations. * Develop AI systems that can reason over documents, extract structured information, and execute complex tasks. * Experiment with foundation models, fine-tuning, retrieval-augmented generation (RAG), and agentic architectures. * Build evaluation frameworks to measure model accuracy, reliability, latency, and performance. * Integrate AI capabilities into existing software systems, APIs, and internal tools. * Work closely with domain experts to identify opportunities to replace manual processes with AI-driven workflows. * Improve the scalability, reliability, and cost efficiency of production AI systems. * Stay at the forefront of AI research and translate emerging capabilities into real products. **Who You Are** * Strong software engineering fundamentals with a deep interest in AI and machine learning. * Comfortable building with LLMs, experimenting with new models, and deploying AI systems into production. * Curious about how AI can fundamentally transform traditional industries. * Comfortable working in ambiguity, iterating quickly, and solving open-ended technical problems. * High ownership and bias toward execution. * Excited to work closely with operators, engineers, and domain experts. * Motivated by building AI systems that have measurable real-world impact. **Preferred Experience** * 3+ years of software engineering, machine learning, or applied AI experience. * Strong proficiency in Python and experience with modern AI/ML frameworks. * Experience building applications using LLM APIs, including OpenAI, Anthropic, or open-source models. * Familiarity with agent frameworks, tool calling, RAG, embeddings, and vector databases. * Experience with model evaluation, prompt engineering, fine-tuning, or inference optimization. * Familiarity with backend development, APIs, and cloud infrastructure (AWS preferred). * Built and experimented with personal AI projects, agents, or open-source tools. * Experience deploying AI or ML systems into production. * Experience in fintech, insurance, or workflow automation is helpful but not required. **Why Join** * Build foundational AI systems for a new kind of insurance company. * Work directly with senior leadership and core operators. * Apply cutting-edge AI technologies to complex, real-world problems. * High ownership and visibility from day one. * Competitive compensation and equity. * Opportunity to help define how insurance infrastructure is built in the AI era. * Office corgi (we have a couple!)