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Applied AI Engineer

RampNew York, NY (HQ), San Francisco, CAFull-timeSalary not listed · Typical pay in United StatesPosted Nov 9, 2026

This listing is for an Applied AI Engineer role at Ramp, as a remote role open to applicants in United States. The listing describes it as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for an Applied AI Engineer role at Ramp, as a remote role open to applicants in United States. The listing describes it as a full-time position.

The advert names LLM as a skill for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Benefits mentioned in the advert: health insurance, pension or retirement plan, paid time off and parental leave.

Dev Global Jobs found this job on Ashby on Nov 9, 2026.

Employer
Ramp
Location
Remote (United States)
Job type
Full-time
Pay
Not stated by the employer
Found
Nov 9, 2026 on Ashby
Employer text
635 words, about 3 min to read
Skills named in the advert
LLM
Before you apply
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  • Mirror the skills the advert names (LLM) in your CV where you really have them; applicant tracking systems look for these words.
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Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 9, 2026
Pay benchmark
Average wage, United States
$86,977 average / year

Source: OECD Average annual wages, 2025

Job description

About the role

Full text from the employer, as published on Ashby, arranged into sections. Nothing added or removed.

01ABOUT 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.

02ABOUT 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.

03WHAT 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

04WHAT 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

05BENEFITS 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

06UNITED 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 expense coverage to NYC or SF (if needed)

07CANADA

  • 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

08UNITED 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

09REFERRAL INSTRUCTIONS

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

10OTHER 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

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