Staff AI Engineer

Kastle AI Inc

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in building and deploying ML/AI systems in production environments
  • Strong proficiency in Python and deep learning frameworks like TensorFlow or PyTorch
  • Experience with LLM orchestration frameworks such as LangChain or LlamaIndex
  • Proven track record of shipping end-to-end AI systems integral to company operations
  • Strong product mindset to convert business requirements into AI solutions
  • Excellent communication skills for collaboration across product, engineering, and compliance teams

Responsibilities

  • Fine-tune and deploy LLMs for real-time voice interactions with borrowers
  • Design and iterate on prompt strategies to optimize AI performance and ensure compliance
  • Create high-quality evaluations using proprietary datasets to benchmark AI agent performance
  • Train and implement domain-specific AI models for the consumer lending sector
  • Ensure AI solutions meet regulatory standards and are scalable
  • Build robust AI-driven workflows that integrate seamlessly with loan servicing platforms
  • Monitor performance metrics and continuously improve AI agent quality and borrower experience

Benefits

  • Opportunity to work with a world-class team building a generational AI company
  • Ability to make swift impacts on features affecting millions of customers
  • Competitive compensation with meaningful equity in a high-growth company
  • High ownership and direct influence on product direction and company culture
  • Free health and wellness membership
  • Robust medical, vision, and dental coverage
  • 401(K) plan offering
  • Paid company meals
  • Team offsites for bonding and collaboration
Full Job Description
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
  • 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


What We're Looking For
  • 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


Why join Kastle
  • Opportunity to work with a world class team building a generational AI company that will redefine how every loan in America is made and managed
  • Ability to move fast while your work impacting millions of customers. Add a new feature in a few days and ship it to top 10 lenders the next week.
  • Competitive Compensation + Meaningful Equity at a high growth company
  • High ownership and direct input on product direction, company culture, and how the FDE function scales


Other Perks and 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

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