Forward Deployed Engineer embeds with key customers to build and deploy production AI agents for mortgage lending workflows, integrating backend/full-stack code with customer systems while owning the full development lifecycle and customer relationships. Requires 1+ years engineering and customer-facing experience with Python/Java proficiency.
140k – 200k/yr
On-site1+ YOESolutions Architecture
About the role
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 lifecycle: prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices.
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.
Requirements
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: 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.).
Works directly with customers to implement AI technology, build customizations, and own end-to-end high-stakes deployments. Requires strong coding in Python/TypeScript/JavaScript, customer-facing skills, and onsite presence in San Francisco 4 days/week.
140k – 200k/yr
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