Applied AI Engineer, Fullstack
ABOUT THE ROLE
The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of.
This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role.
WHAT YOU’LL DO
- Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them
- Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy
- Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces
- Partner on API and backend design so the full stack serves the product, not the other way around
- Use the latest coding models and agentic workflows as a core part of how you ship every day
WHAT YOU NEED
- Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications
- Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it
- Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity
- A track record of shipping polished, production-grade product experiences and owning them through ambiguity
- Bonus: experience with BI tools, data visualization, or financial/analytics products