Artificial Intelligence Engineer

Somewhere in a very small, very online Slack, about ten people are trying to do to wealth management what systematic trading did to Wall Street over a decade ago. The founder spent 15 years inside systematic trading desks, watching the old market-making model get out-computed until it simply stopped existing. He's convinced the same disruption is about to hit a $140 trillion industry still run on spreadsheets, gut feel, and advisors who spend 80% of their day maintaining portfolios instead of talking to clients. The team has built a real-time signal bank that watches markets and client accounts, an execution layer that acts on what it sees the moment a human says \"go,\", and mapped the entire advisory workflow into 46 discrete, computable pieces. Early mandates are signed. Capital is committed. A demo in front of some serious names is taking place and they're one hire short of walking in fully loaded. This isn't a \"join the platform team\" role. It's 1 senior seats at a ~10-person, pre-Series A company, working directly alongside a technically sharp CTO who knows systems inside and out but not markets, which is exactly the gap they're hiring for. They want someone who's actually sat close to a live trading desk: market data, signal generation, execution infrastructure, the stuff that doesn't forgive sloppy code. Python-first, genuinely AI-native (the execution layer isn't a slide, it's in production and getting sharper by the week). The founder is upfront that he hires for character first and technical bar second (the bar is still real). People who are \"happy on a team\", under pressure, readily available and communicative rather than going dark for three days, will do best in this environment. Equity is the very real play here, and it's described internally as \"outsized\" for this stage, because we're talking single digit whole numbers not basis points. If guaranteed comp tops your wishlist, this isn't the fit. If \"get in early on the thing that eats an entire industry\" does, it might be. Their HQ is in NYC and they run a hybrid work model of 2 days in office each week but would not want to rule out exceptional talent looking for more flexibility, based on the Eastern Seaboard. #J-18808-Ljbffr QNT Partners