Full Stack Engineer

Senior / Staff Full-Stack Engineer | AI-Native Fintech $200K–$350K Base + Equity | NYC or San Francisco | 5 Days In-Office, Hybrid flexibility What happens when AI stops being a feature and starts becoming the infrastructure behind how money moves? I'm looking for passionate full-stack engineers who want to build the next generation of AI-native fintech. Think intelligent financial systems, real-time decision-making, complex transaction infrastructure, and products that automate workflows previously requiring entire teams. Not another fintech dashboard. Not another AI wrapper. We're talking about rethinking how financial technology is built from the ground up. The engineering challenges sit at the intersection of AI, distributed systems, financial infrastructure, and sophisticated product engineering. We're looking for engineers who can own the entire stack, from the architecture powering complex financial workflows to the interfaces that make incredibly sophisticated technology feel effortless. What You'll Build AI-native financial products: Build intelligent applications that automate complex financial workflows, analyze data, and turn decisions into actions. Complex backend systems: Architect APIs, distributed services, transaction processing systems, and scalable infrastructure. Exceptional frontend experiences: Build fast, intuitive, highly interactive products that make complicated financial data and workflows simple. Real-time systems: Engineer products where performance, reliability, data accuracy, and low latency actually matter. 0→1 products: Take ambitious ideas from technical design to production, owning architecture, implementation, and user experience.

You don't need to be an ML researcher or a financial expert. You need to be an exceptional engineer who can turn technically complex problems into extraordinary products. Why This Space? Financial services is one of the largest, most technically complex industries in the world and much of its infrastructure still relies on fragmented systems, manual processes, and outdated workflows. AI is creating an opportunity to rebuild that infrastructure. The engineers who thrive in this environment aren't just writing code. They're designing systems, making architectural decisions, shaping product direction, and solving problems that don't have established playbooks. Small team. Massive technical ownership. Hard engineering problems. Products with real-world impact.