Senior Full-Stack Contractor
Build an AI-native operations tool for private mortgage lenders
As a Senior Full-Stack Contractor, you'll develop an AI-driven operations tool targeting NSF collections and renewal management for private mortgage lenders. The project involves creating a CSV loan tape import feature, a case detail screen, and an LLM classification system. This role offers a unique opportunity to work directly with real data and users in a self-funded environment.
Why This Role?
Direct involvement in building a product for real users in the mortgage industry
Key Responsibilities
- Develop a CSV loan tape import feature with idempotent upsert and audit
- Create a case detail screen to manage borrower information
- Implement an LLM call to classify borrower email replies with structured outputs
- Design an activity log driven by case events for tracking purposes
Requirements
- Strong experience with Postgres and relational data modeling
- Proficiency in Next.js + TypeScript or Python + React
- Real production experience with LLMs, including structured outputs and evaluations
- Ability to defend technical opinions in writing
Required Skills
Indonesia Context
- Working Hours Overlap:
- Minimal overlap — opposite hours
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
Servicing Copilot | Senior Full-Stack Contractor | REMOTE (EST overlap required) | $5k paid bake-off → ~6 month contract | CAD $130-180/hr I'm building an AI-native operations tool for private mortgage lenders. MVP targets two workflows that eat servicing staff time: NSF collections follow-up and renewal management. I run a Canadian private lender as my day job, so the product is built against a real shop with real data and real users. Self-funded. No VCs, no board. The data model is locked (20 tables, multi-tenant by lender_id, idempotent CSV imports, append-only event log). Wireframes in progress. Hiring one engineer for the full ~6-month build via a paid bake-off: $5k flat for ~1 week of work, 2-3 candidates in parallel, winner takes the engagement. Losing candidates get paid in full and keep their work. Trial scope: CSV loan tape import with idempotent upsert + audit, one case detail screen, one LLM call classifying a borrower email reply with structured output, activity log driven by case events. Stack is contractor's choice — Postgres required, Next.js + TS or Python + React expected. Looking for senior generalists with real production LLM experience (structured outputs, evals, failure modes — not side-project tier) and strong relational data modeling judgment. Opinions you'll defend in writing. Email: info@readifinancial.com with: one paragraph on why this interests you, 1-2 links to shipped work involving a real schema + LLM in production, your rate and availability, and one question about the project. No cover letters. Search terms: postgres, multi-tenant, LLM, OpenAI, Anthropic, Next.js, TypeScript, Python, fintech, vertical SaaS, founding engineer, contract, Canada
Market data & reports
Salary & skill-demand research built from our own listings data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.