Role Overview
Ramp is hiring a mid-level Applied AI Engineer, Fullstack. This is a full-time remote role, with the team based in New York, NY (HQ). Part of Ramp's Risk hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Risk roles is $110k-$148k (based on 132 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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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.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
About Ramp
Ramp
ramp.com
78 other open roles at Ramp on TryApplyNow.
Frequently Asked Questions
How do I apply for the Applied AI Engineer, Fullstack position at Ramp?
Use the Apply button above to submit your application directly to Ramp. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Applied AI Engineer, Fullstack role at Ramp remote?
Yes. This is a remote role. The team is based in New York, NY (HQ), but the position itself does not require relocating to that office.
What does a Applied AI Engineer, Fullstack at Ramp earn?
Ramp has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Applied AI Engineer, Fullstack role at Ramp posted?
This role was posted on June 24, 2026 (18 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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