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Applied AI Engineer

Ramp · New York, NY (HQ)

$204k - $352k/yrRemoteMid levelEngineeringEngineeringApplied AIPosted 23 months ago
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About this role

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 WH

Excerpt from the posting Ramp published. Read the full description on their site before applying.

Skills this posting mentions

Full Stack DevelopmentCloud InfrastructureArtificial Intelligence

About Ramp

Ramp is an all-in-one financial operations platform designed to save businesses time and money. Combining corporate cards, expense management, bill payments, accounting automation, procurement, travel, treasury, and more, Ramp empowers finance teams to do their best work. More than 70,000 companies, from family-owned farms to space startups, have saved $10B and 27.5M hours with Ramp since its founding in 2019. Investors include Founders Fund, Thrive Capital, Khosla Ventures, Sequoia, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies - Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One - as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies. Visit our website for a full list of US state licenses & disclosures: https://ramp.com/legal/state-disclosures

All 126 openings at Ramp

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