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Applied AI Engineer, Fullstack

Ramp

Applied AI Engineer, Fullstack is a still-open role at Ramp on Jobrow. Location: Hybrid · New York, NY (HQ) · New York City · NY · USA. Listed pay: $204k–$352k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$204k–$352k
Workplace
Hybrid
Location
New York, NY (HQ) · New York City · NY · USA
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends.

  • Function: Machine learning
  • Seniority: mid
  • typescript
  • react

Location & pay

Hybrid · New York, NY (HQ) · New York City · NY · USA Listed pay on Jobrow: $204k–$352k.

Source

Jobrow reads the public Ashby board for Ramp. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. 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 appli

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