Founding Applied AI Engineer

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.

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.

• AI Model Integration:
  Fine-tune and deploy LLMs for real-time voice-based borrower interactions
• Prompt Engineering:
  Design and iterate on prompt strategies to optimize AI performance and compliance
• Evaluate LLMs and AI Agents:
  Build high quality evals using our proprietary datasets to benchmark AI agent performance and run experiments
• Custom AI Solutions:
  Train and implement domain-specific AI models for consumer lending
• Scalability & Compliance:
  Ensure AI solutions meet regulatory standards (FDCPA, RESPA, TILA) and scale efficiently
• Data Pipelines & APIs:
  Build robust AI-driven workflows that integrate seamlessly with loan servicing platforms
• Continuous Optimization:
  Monitor performance metrics and continuously improve agent quality and borrower experience

• 2+ years building and deploying ML/AI systems in production environments
• Strong proficiency in Python and deep learning frameworks (Tensor Flow, PyTorch)
• Experience with LLM orchestration frameworks (Lang Chain, Llama Index, or similar)
• Track record of shipping AI products that real users depend on
• Strong product mindset and ability to translate business requirements into AI solutions
• Excellent communication skills to collaborate across product, engineering, and compliance teams

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.