Sub-prime lending platform with real-time bidding and AI-driven underwriting
Hive Financial Systems is a 7-year-old sub-prime lender leveraging .NET, SQL Server, Kubernetes, and Azure infrastructure to automate credit decisions across public and private data sources. The company is actively deploying AI agents into production workflows while simultaneously refactoring legacy systems—a pattern that signals growing pains in scaling from manual underwriting to automated risk assessment. Hiring is accelerating with engineering-heavy focus (4 of 5 open roles), concentrated at senior and lead levels, indicating a shift toward platform maturation rather than headcount expansion.
Notable leadership hires: Lead Generation Manager
Hive Financial Systems operates in sub-prime consumer lending, serving borrowers underserved by traditional banks despite low interest rates and available institutional capital. The company uses a .NET and SQL Server tech stack on Azure, building real-time bidding and yield optimization systems that process ping-post and ping-tree configurations. Core projects include AI agent deployment, platform architecture from zero, and implementation playbooks. The company is headquartered in Atlanta and operates with approximately 11–50 employees across engineering and marketing, hiring in both the US and India.
.NET, C#, SQL Server, Kubernetes, Azure DevOps, Python, Angular, React, MongoDB, and ASP.NET Core. Architecture emphasizes real-time bidding and API-driven workflows.
Real-time bidding optimization, yield modeling, ping-post/ping-tree configuration, AI agent deployment for workflows, platform architecture, and a Peach pilot user experience.
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