Forward Deployed Engineer

About Kastle

Kastle is building the AI operating system for consumer lending, starting with mortgage. We power $5M+ in transactions every single day and work with some of America’s largest mortgage lenders, helping them scale their contact center and compliance operations using AI voice agents.

About the Role

As a Forward Deployed Engineer, you’ll be the technical owner and project leader of our most important accounts. You’ll embed deeply with customers, translate business workflows into production grade AI agents, and manage the customer relationship and roadmap.

Responsibilities

• Build, configure, and launch AI agents on Kastle’s platform to handle real borrower workflows

• Write production-grade backend and full-stack code (Python, Java, TypeScript) to integrate with loan servicing systems, data sources, and telephony platforms.

• Own the full agent development life cycle: prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.

• Scope ambiguous customer asks, prototype quickly, and iterate into stable deployments.

• Act as the technical face of Kastle in key accounts, building trust through speed, empathy, and impact.

• Feed customer learnings back into the core product, influencing roadmap and reusable tooling.

What We’re Looking For

• At-least 1 year of engineering experience, and 1 year of customer facing experience.

• Proficiency in Python, Java, or similar; comfortable building APIs and backend systems.

• Bias toward outcomes: you care more about unblocking customers and delivering value than perfect abstractions.

• Strong work ethic; very high attention to detail; can own a project end-to-end with limited or no guidance.

• Customer-centric: confident working directly with business leaders as well as engineers.

Nice to Have

• Previous customer-facing engineering role (forward deployed, solutions engineer, etc.).

Interview Process

• 15 min interview with CEO

• 1 hour live coding interview with CTO/Founding Engineer

• 1 hour AI agent design interview with CTO

• 1 day onsite at HQ