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 Y Combinator, Commerce Ventures, and executives from Snapdocs, Google, and WePay, we are redefining lending with AI.
About the RoleAs 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 DoAI 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 (TensorFlow, PyTorch)
Experience with LLM orchestration frameworks (LangChain, LlamaIndex, 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.