Founding Applied AI Engineer at Kastle

Kastle is building AI agents 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 efficiently using AI-driven voice agents. Backed by $2.3M from Y Combinator, Commerce Ventures, and executives from Snapdocs, Google, and WePay, we are redefining loan servicing with AI.

As a Founding Applied AI Engineer, you will play a crucial role in integrating advanced AI technologies into Kastle's platform. You'll work on fine-tuning large language models (LLMs), designing AI workflows for highly regulated enterprises, and ensuring our AI agents deliver precise, compliant, and effective 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. You'll be working directly with customers, seeing your work in production, and collecting feedback while having high ownership and autonomy in shaping the company's technical direction.

The role involves working with cutting-edge AI technologies, including LLM fine-tuning, prompt engineering, and building robust AI-driven workflows. You'll be responsible for ensuring AI solutions meet regulatory standards while maintaining high performance and accuracy. This is an opportunity to join a well-funded startup at an early stage, working closely with a world-class founding team backed by top investors.

The ideal candidate will bring strong technical skills in Python, TensorFlow/PyTorch, and deep learning frameworks, combined with practical experience in deploying AI models to production. You'll need to balance technical expertise with business understanding, as you'll be bridging AI capabilities with real-world mortgage servicing needs while ensuring compliance with industry regulations.