Founding Engineer $180,000 - $250,000 + Equity

Founding Engineer $180,000 - $250,000 + Equity New York City In person $180,000 - $250,000 + equity Build the systems that verify, underwrite and collect the invoices behind $7 trillion of American receivables. Why were building this The role You would work directly with our CTO, on an engineering team where youll be given high responsibility. You own systems end to end, and you own the lenders who use them - onboarding, expansion, and the calls where you find out which of your assumptions survive a credit team. There is no layer between engineering and the customer here, and this is an opportunity to have full ownership over what you build

The work is unforgiving in a specific way

a verification that is wrong is money gone. Our CEO, automated credit underwriting for banks and PE desks, and before that moved Morgan Stanleys payments platform onto Kubernetes. Our CTO, built the recommendation models in Bloombergs terminal and has published twice on causality in large-scale datasets at tier-1 AI conferences. Your first 90 days Month one. In production in week one. You own one of the systems above. Month two. You are on lender calls, and you can take a verification failure from report to root cause to fix without help. Month three. You own a system end to end - including what it costs to run and what happens when it breaks at 2am. What you will build Knowledge ingestion engine. A huge portion of your work will be building the engine that makes verification possible at scale. Every signal - blurry receipts, Excel sheets, portal data retrieved by browser agents, payment histories, fraud indicators - has to be ingested, normalized, and synthesized into a single coherent picture of whether an invoice is real and whether it will be paid. This is the foundation everything else runs on. Portal agents. Building a general, self-adapting browser agent, that can navigate across over 1500 portals to pull the approvals a verification depends on. Through 2FA, constantly adapting portal UI and at the scale of verifying 10s of thousands of invoices at once. Risk engine. A living view of the lending book that updates on every invoice funded and every payment received, instead of a credit decision frozen at origination. Greenfield. Voice collections. You will build the voice layer that collects on invoices the way a great human collector would. Not automated reminders. A voice agent that knows the history of the debtor relationship, understands the right moment to call, and has the judgment to adapt the conversation in real time. Evaluation. Extending our eval suite. Nothing ships on vibes, and this is why our customers trust us as the best-in-class. Stack Backend Python Frontend TypeScript, React, Next.js Infrastructure AWS, Terraform, Docker Skills Distributed & scalable system design, building production grade AI agents and evaluation pipelines, search & retrieval systems, time series models / analysis. You are not expected to have shipped all of this. You are expected to be dangerous in most of it within a month. Who this is for You might be a fit if You have taken something from zero to production and owned it after it shipped. You have experience in any of these areas, and understand the challenges building the following would involve: Zero to one in finance or another heavily regulated industry Voice AI over real telephony, on a genuinely hard problem, e.g. navigating dialpads, being transferred on call, and handling transferring to the lender themselves with context. Agentic systems that do more than let an LLM answer questions over a pile of documents You have worked at a startup and know how important to the company, a founding engineer is. You know what a cliff is. Strong computer science fundamentals. We index heavily on what youve built. Nice to haves Python and TypeScript across the stack Evaluation-driven development for LLM systems Experience building for the financial services. Not a fit if You want to stay away from a forward-deployed role - you will be on lender calls. An intense, in-person work environment is not the season of life you are in. We are early, the market is $7 trillion, and the speed we are moving at is why we work so intensely. You want a defined scope. Most of what you build here has no precedent. Compensation and process Salary $180,000 - $250,000 USD base, depending on experience Equity Meaningful founding-engineer equity. Real numbers on the first call. Location New York City, in person Work authorization You must already be authorized to work in the US. We can take on an H-1B transfer. Reports to our CTO The interview process Apply and we reply within 24 hours. Screening call Paid work trial Interview with our CEO Offer One to two weeks start to finish. Please Apply By CV or Resume