AI-Driven Frontend Engineer - Fullstack for Data-Intense UI

Ramp Financial

New York (NY)

Hybrid

USD 204,000 - 352,000

Full time

14 days+

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Benefits offered by this job

Flexible paid time off
Home-office equipment provided
Wellness stipend
Relocation assistance to NYC/SF

Job summary

Ramp Financial is hiring an Applied AI Engineer, Fullstack to deliver customer-facing AI experiences using React and TypeScript. You will collaborate on API and backend design in a hybrid New York environment, shipping polished interfaces and data-driven workflows for FP&A and book-close processes.

The role emphasizes frontend focus with cross-stack responsibilities, experience with AI coding models, and a track record of delivering production-grade product experiences.

Qualifications

  • Extensive frontend expertise in TypeScript and React for data-heavy apps.
  • Experience with AI coding models and agentic development workflows.
  • Ability to work across the stack including APIs and backend design.
  • Track record of shipping production-grade product experiences.

Responsibilities

  • Develop end-to-end customer-facing AI experiences from UI to APIs.
  • Create dense, interactive interfaces for data-intensive workflows.
  • Own client-side state and rendering across real-time surfaces.
  • Collaborate on API and backend design to support product goals.
  • Apply modern coding models and agentic workflows daily.

Skills

TypeScript
React
State management
AI coding models
API design
Backend systems
Production-grade
BI tools

Tools

BI tools
Data visualization

Job description

Ramp Financial is hiring an Applied AI Engineer, Fullstack to deliver customer-facing AI experiences using React and TypeScript. You will collaborate on API and backend design in a hybrid New York environment, shipping polished interfaces and data-driven workflows for FP&A and book-close processes.

The role emphasizes frontend focus with cross-stack responsibilities, experience with AI coding models, and a track record of delivering production-grade product experiences.

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