Software Engineer (AI & Applied ML) at Kalepa

Kalepa

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Kalepa (operating under kalepa.com, legally Kalepa Corporation) is the premier, enterprise-grade professional AI underwriting platform, commercial insurtech pioneer, and automated workflow orchestration powerhouse engineered to act as the definitive, high-velocity submission processing, risk evaluation, and portfolio steering layer for top-tier commercial insurers, managing general agents (MGAs), and global reinsurance giants. Founded by technology and operational data veterans, the company completely eliminates the severe systemic friction of modern commercial insurance risk assessment—where underwriters lose critical premium momentum, drown in vast amounts of unstructured text across hundreds of disconnected document types, and make high-stakes pricing choices under severe information ambiguity—by deploying a sophisticated, context-aware AI operating matrix. Moving far beyond traditional, passive keyword-matching optical character recognition (OCR) tools or generic large language models (LLMs) that lack deep industry context, Kalepa natively unifies autonomous document parsing (handling ACORD forms, schedules of values, and complex loss runs), real-time hazard/fraud exposure flagging, predictive pricing model integrations, and structured quote-and-binder creation into a single high-availability, professional-grade workspace. Trusted by industry titans and specialist syndicates—including Berkley, Munich Re Specialty, Bowhead, Canopius, Paragon, and Secura—the platform delivers massive, empirically validated financial performance, including a 40% reduction in quote turnaround timelines, a 5% to 15% improvement in absolute bind rates, and a 960 basis point improvement in combined loss-to-premium ratios. Experiencing rapid market expansion, the high-growth insurtech platform has secured over $16 million in elite institutional venture financing across multiple capital iterations, anchored by foundational investments from tier-one investment houses including IA Ventures, Inspired Capital, and prominent strategic operators. Under the hood, its technology core utilizes advanced LLM-based ingestion pipelines, distributed asynchronous serverless processing frameworks, automated sanctions and compliance screening modules, and robust data enrichment engines designed to ingest billions of highly unstructured public domain and third-party data points daily, delivering an explainable, decision-ready \"single pane of glass\" view for complex risk factors without losing field operational velocity. What sets Kalepa apart is its uncompromising dedication to replacing subjective, slow manual submission sorting with absolute underwriting predictability, explicit risk clarity, and rapid premium generation velocity; by bridging the gap between performance-intensive machine learning data analysis and front-end underwriting agility, the enterprise remains the definitive cornerstone of modern algorithmic risk management and global insurance technology transformation.