Job Description
Job Description
We're looking for a mid-career to senior backend engineer with experience building systems in complex, regulated domains like fintech. You should be comfortable translating intricate business logic into highly reliable, precise code and have a track record of working closely with non-technical subject matter experts. Bonus points if you have experience with AI/ML tooling, DSLs, or workflow orchestration.
What you'll do
- Encode dense, natural language mortgage guidelines into executable logic using TypeScript, custom DSLs, and AI.
- Take ownership of critical underwriting systems where correctness and precision are paramount.
- Work side-by-side with mortgage experts to understand nuance, exceptions, and translate their domain knowledge into robust software.
- Build and maintain internal tooling that empowers underwriters to configure and guide automated decision-making agents.
- Design for precision, build robust test coverage, and think deeply about failure modes in a high-stakes financial environment.
- Push into uncharted territory, applying AI in ways the mortgage industry hasn't seen to make lending faster, cheaper, and more accessible.
Tech stack:
TypeScript, NestJS, GraphQL, SQL (PostgreSQL), Temporal.io
Seniority:
3+ years of experience as a SWE.
Work experience:
Worked at a VC-backed company or as founding eng (if not VC-backed), at a reputable company still growing fast (e.g., FAANG), or in FinTech (e.g., Stripe, CreditKarma), PropTech, or mortgage.
Experience gathering requirements from customers or SMEs and translating into products/features for non-technical users (e.g., fintech, insurance, logistics).
Experience designing DSLs for rule encoding is highly preferred.
Built AI or agentic tooling for non-technical users (e.g., Harvey, Abridge).
Worked on core systems in a regulated space (e.g., Treasury, Insurance).
Education:
Bachelor's degree from MIT or Waterloo.
Hard skills:
Professional backend development experience using TypeScript.