
Kastle is a workflow automation tool for mortgage lenders and servicers. Our cutting-edge technology automates sales, collections, and customer service interactions, enhancing operational efficiency…

Kastle is a workflow automation tool for mortgage lenders and servicers. Our cutting-edge technology automates sales, collections, and customer service interactions, enhancing operational efficiency…
What they do: AI agents and workflow automation for mortgage and consumer lending (call automation, collections, borrower engagement)
Stage: YC S24, pre-seed / early stage
Founded / HQ: Founded 2024; San Francisco
Founders: Rishi Choudhary (CEO) and Nitish Poddar (CTO)
Employees: Approximately 5
Mortgage lending and servicing operational workflows (call automation, collections, borrower engagement, regulatory compliance).
2024
Software Development
$125k
Participant in Y Combinator Summer 2024
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About Kastle Kastle is building AI operating system for consumer lending, starting with mortgage. We work with some of America's largest mortgage lenders, helping them scale their contact center and compliance operations using AI-driven voice agents. Backed by $2.3M from Y Combinator, Commerce Ventures, and executives from Snapdocs, Google, and WePay, we are redefining lending with AI.
About The Role As a Founding Applied AI Engineer, you'll be instrumental in building the technical foundation of Kastle's AI platform. You'll fine-tune large language models, design AI workflows for highly regulated enterprises, and ensure our voice agents deliver precise, compliant, and effective borrower interactions.
This role is ideal for an engineer who is passionate about applied AI, eager to solve real-world challenges, and excited to build the technical foundation of an early-stage AI startup.
What You'll Do
What We're Looking For
Why join Kastle Build what banks run on: Your code powers real borrower interactions at top-10 mortgage lenders—live in production from day one
Act like a founder: High ownership and autonomy with direct input on product, technical direction, and company culture
Learn fast: Daily customer exposure with rapid feedback loops—see your work deployed within days
Strong upside: Competitive salary, meaningful early-stage equity, and relocation support
Great team: Work alongside founders and engineers from Verkada, NVIDIA, Apple, Intuit, and Redfin.
Compensation Range: $180K - $250K
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