Applied AI Engineer, Fullstack

Ramp; United States; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Flexible PTO

Unlimited AI token usage

Health and wellness stipend

Budget for intra-office travel

Weekly coffee stipend

100% medical, dental & vision insurance

Job summary

Ramp is seeking a Frontend Engineer to design and ship AI-driven financial experiences. You will work on creating customer-facing interfaces that are interactive and trustworthy. Your expertise in TypeScript and React will help in building efficient, data-dense applications.

This role is crucial in turning complex financial data into seamless user experiences, contributing directly to how companies manage their finances.

Ramp offers extensive benefits including flexible PTO and comprehensive health care packages.

Qualifications

• Deep frontend expertise in TypeScript and React.
• Fluency with AI coding models and workflows.
• Comfort working across stack including API design.
• Track record of shipping polished product experiences.
• Bonus: experience with data visualization or financial products.

Responsibilities

• Design customer-facing AI experiences from React UI to APIs.
• Build BI-quality interfaces for financial analysis and workflows.
• Own client-side state and rendering challenges.
• Partner on API and backend system design.
• Utilize latest coding models in daily work.

Skills

TypeScript

React

State Management

AI Development Workflows

Data Visualization

Tools

Business Intelligence Tools

Job description

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 $200B in annualized spend flows in and out of 70,000+ 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 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 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

Benefits available to all full‑time Ramp employees (Global)

• Flexible PTO
• Unlimited AI token usage
• Centralized home‑office equipment ordering
• Health and wellness stipend
• Budget for intra‑office travel
• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In‑office perks: lunch, snacks, drinks, and more
• Relocation support to NYC or SF (as needed)

Canada

• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite
• Virtual GP and at‑home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.