Has recognizable company experience but has switched roles frequently and their Android background doesn't align closely with what we're looking for.
Strong on paper, but reviewing their professional history raises concerns for this role. All recent positions at major tech companies were contract roles, and there is a pattern of frequent moves between them.
No-show for scheduled interview
Not interested in the front-end engineering role; mentioned a more senior technical position but did not follow up.
Candidate withdrew from the process.
The candidate's prior experience in a similar industry role did not demonstrate sufficient technical depth, and their communication style lacked engagement.
Some promising qualities, but lacks sufficient full-time experience; background is primarily internships.
Lacks direct applied AI engineering and customer-facing implementation experience.
Tweets, press, and people that show why this team is worth your time.
Kastle is hiring 4 Forward Deployed Engineers — the technical face of Kastle inside its most important enterprise mortgage accounts. The hire embeds directly with customers (top-10 mortgage lenders), translates their compliance-heavy workflows into production AI agents on Kastle's platform, and owns the customer relationship end-to-end.
The first month is really just spent embedding yourself in the product — you have to be enough of an expert on the product that you can talk to the enterprises. The archetype — a strong software engineer who wants to be in the room with customers, not a solutions consultant who dabbles in code.
What You'll Own
- 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, document best practices to speed future projects
- Scope ambiguous customer asks — prototype quickly, iterate into stable deployments
- Act as the technical face of Kastle in key accounts — build trust through speed, empathy, impact
- Feed customer learnings back into the core product — influence roadmap and reusable tooling
Requirements
- 3+ years of professional engineering experience — Sweet spot 3-5 years including 1+ year of customer-facing engineering experience
- Strong Python, Java, or TypeScript — comfortable building APIs and backend systems
- Strong work ethic + very high attention to detail
- Owns projects end-to-end with limited or no guidance
- Customer-centric confidence — comfortable with both business leaders and engineers
- SF-based or willing to relocate immediately — 5 days/week in-person
- Genuine interest in the mortgage / lending space
- Cracked with AI tooling — Claude / Cursor / Codex daily
Profile (in priority order) Tier 1 — Software Engineers Who Want to Be Client-Facing
- Engineers with strong technical chops who've either done customer-facing work or are actively looking for it Tier 2 — Palantir Forward-Deployed Engineers
- Direct archetype match on client-facing engineering muscle Tier 3 — Applied Engineers at AI Agent Companies Tier 4 — Impressive Fast-Moving Startups
- Series A-C startups with product velocity and customer exposure Tier 5 — Big Tech with Zero-to-One Signal
Strong Bonuses
- Previous customer-facing engineering role — FDE, solutions engineer, sales engineer (JD nice-to-have)
- Prior mortgage, lending, or fintech domain experience
- Voice agent, telephony, or contact-center infrastructure experience
- YC founding engineer at a company that grew
- Compliance-heavy vertical AI shipping — legal AI, healthcare AI, financial AI
Location and Visa
- H-1B transfer OK, TN OK
- OPT is a hard no
- O-1 acceptable