Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

ABOUT KASTLE

Kastle is building the AI employee for banks. We work with some of America's largest financial institutions, helping them scale their contact center and compliance operations using autonomous AI Agents that process payments, originate loans, and help customers get a world class experience during the biggest financial decisions of their lives. We've processed over $2 billion in transactions and are backed by Insight Partners and Y Combinator. If you are interested in building AI that is applied in the real world where precision, reliability, and performance matter and redefine access to credit across the world, apply below.

We just raised a $24M Series A and are growing fast!

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