> Markdown version of [/jobs/ext/3716000-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3716000-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** Ai, Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $200,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Databases, Distributed Systems, Python (Programming Language), Node.Js, Software Engineering, Systems Architecture, TypeScript, Real Time Systems, ReactJS, Large Language Models, Backend, Agentic-AI, Event Driven Architecture, Low Latency, Real Time Data, Front End Software Development, Golang - **Published:** October 13, 2026 - **Apply:** https://www.juju.com/job/2_163950404 ## About the Role A true 50/50 full-stack engineer. Not a frontend engineer who occasionally writes APIs. Not a backend engineer who can tweak a React component. Someone genuinely exceptional on both sides. * 5+ years of professional software engineering experience * Strong frontend engineering experience with React, TypeScript, and modern frontend architecture * Deep backend experience with Python, Node.js, Go, or similar languages * Experience designing and scaling APIs, distributed systems, and production services * Strong understanding of databases, data modeling, and system architecture * Proven experience building complex products end-to-end * Experience owning meaningful 0*1 engineering initiatives * Strong product instincts and the ability to make thoughtful technical tradeoffs * Comfortable working in fast-moving, high-ownership engineering environments Bonus points for: * Fintech, payments, trading, banking infrastructure, or financial data platforms * AI agents, LLM-powered applications, or intelligent automation * Real-time data systems, event-driven architectures, or high-throughput infrastructure * Founding engineering or early-stage startup 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. ## Description * 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.