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.
Just sent you the email with two shipped work in production (plus Github repo with engineering notes for them), rate, availability, and the question about the project.
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