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Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Builds and deploys production AI systems including LLM-powered features, agents, and RAG for underwriting, pricing, and risk evaluation in insurance. Requires 5+ years backend experience, hands-on AI product shipping, and familiarity with LLMs and vector DBs.