Staff AI Engineer
About the role
Founding Applied AI Engineer role at Kastle, building the AI platform for consumer lending with real-time voice interactions, regulatory compliance, and scalable AI workflows.
Responsibilities
- 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 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
Qualifications
- 3+ 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 end to end AI systems that is at the core of company operations
- Strong product mindset and ability to translate business requirements into AI solutions
- Excellent communication skills to collaborate across product, engineering, and compliance teams
Skills
Benefits
- Free Health and Wellness Membership
- Robust medical, vision, & dental coverage
- 401(K) plan offering
- Paid Company Meals
- Company offsites to get to know the team
About Kastle
AI agents for mortgage servicing
Kastle is an AI voice agent for mortgage servicing. We help servicers collect payments, verify new borrowers, and qualify new loan inquiries over the phone. Rishi and Nitish met at UIUC where they graduated with degrees in systems engineering and computer science. Rishi was the founding Product Manager for Redfin’s Mortgage Marketplace at 22 and grew the business from $3M to $6M in revenue in 9 months. Nitish patented Verkada’s motion search system and was the youngest tech lead at the company at 23. While building Redfin's Mortgage Marketplace Rishi realized traditional lenders didn't have the infrastructure to service online inquiries and were losing customers. Nitish and Rishi are building Kastle to help traditional financial services companies better interface with their customers.
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