Applied AI Engineer
Role Overview
This Applied AI Engineer role involves full-stack development to build and integrate AI infrastructure, including projects like AI Agents and Retrieval-Augmented Generation. It is open to all levels, focusing on production use cases of large language models (LLMs) and enhancing engineering processes to scale AI solutions across the company. The hire will work on real-world applications, contributing to innovation within the Applied AI team.
Perks & Benefits
The role is fully remote with a centralized home-office equipment ordering benefit, and it offers flexible PTO, health and wellness stipends, and budget for intra-office travel. Benefits include 100% medical, dental, and vision insurance for employees, partially covered for dependents, along with 401k matching, fertility HRA, and parental leave. Career growth is supported through work on groundbreaking AI applications and a collaborative team environment, with relocation support available to NYC or SF if needed.
Full 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 $100B in annualized spend flows in and out of 50,000+ 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 (for U.S.-based full-time employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees
Health and Wellness stipend
In-office perks: lunch, snacks, drinks, and more
Budget for intra-office travel
Relocation support to NYC or SF (as needed)
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.
Ramp Applicant Privacy Notice
Similar jobs
Found 6 similar jobs