Applied AI Engineer
Ramp
Applied AI Engineer at Ramp is a full time role based in Remote · New York City, NY, USA (remote). The listing states pay of $204k–$352k. It was published on 12 January 2026 and was open at last check.
| Role | Applied AI Engineer |
|---|---|
| Company | Ramp |
| Location | Remote · New York City, NY, USA (remote) |
| Employment type | Full Time |
| Pay (as listed) | $204k–$352k |
| Published | 12 January 2026 |
| Status | Open at last check |
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 Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you.
What You’ll Do
- Ship full-stack AI projects end to end
- Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning
- Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp
- Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams
What You Need
- Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure
- A track record of working on full-stack AI projects, particularly those involving production use cases of LLMs
- Experience building backend systems and infrastructure that can support AI-driven products
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- 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 email addresses and will never ask for payment or sensitive personal information during the hiring process.
Create your free OnJob profile to apply — we'll take you to Ramp's application after sign-up. · Posted 12 Jan 2026.
Applied AI Engineer at Ramp — questions answered
What does the Applied AI Engineer role at Ramp pay?
The Applied AI Engineer at Ramp listing states pay of $204k–$352k for the Remote · New York City, NY, USA (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Is the Applied AI Engineer role at Ramp remote?
Yes — Ramp advertises this Applied AI Engineer role as remote, tied to Remote · New York City, NY, USA, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Ramp before you apply.
Is the Applied AI Engineer role at Ramp still open?
The Applied AI Engineer posting at Ramp was open at OnJob's last check of the employer's careers page, having been published on 12 January 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Applied AI Engineer role at Ramp?
Apply to the Applied AI Engineer at Ramp role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Ramp's own application page. Creating a profile is free and needs no card.
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