Ramp is the ultimate platform for modern finance teams. Combining corporate cards with expense management, bill payments, vendor management, accounting automation and more, Ramp's all-in-one solution is designed to save businesses time and money, and free finance teams to do the best work of their lives. Our mission is to help build healthier businesses, and its working: over 25,000 businesses on Ramp to save an average 5% and close their books 8x faster.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables tens of billions of dollars in purchases each year.
Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, 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 companiesStripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital Oneas well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. In 2023, Ramp was named Fast Companys #1 Most Innovative Company in North America, LinkedIns #1 Top Startup in the U.S., a CNBC Disruptor, and a TIME100 Most Influential Company.
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 ), 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.
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.
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.
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 $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support for NY
Pet insurance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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