Applied AI Engineer

About RampRamp 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 RoleThe 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.What You’ll DoShip full-stack AI projects end to endBuild and integrate components for AI infrastructure, supporting production-level inference and fine-tuningDevelop and improve engineering processes, tools, and systems to scale AI solutions across RampCreate tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teamsWhat You NeedProficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructureA track record of working on full-stack AI projects, particularly those involving production use cases of LLMsExperience building backend systems and infrastructure that can support AI-driven productsBenefits available to all full-time Ramp employees (Global)Flexible PTOCentralized home-office equipment orderingHealth and wellness stipendBudget for intra-office travelWeekly coffee stipendUnited States100% medical, dental & vision insurance coverage for you, with partial coverage for dependentsOne Medical annual membership401(k), including employer match on contributions made while employed by RampFertility HRA (up to $10,000 per year)Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% payPet insuranceIn-office perks: lunch, snacks, drinks, and moreRelocation support to NYC or SF (as needed)CanadaGroup medical, dental, and vision coverage through Sun LifeLife, AD&D, and disability coverageFertility 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 payEmployee Assistance Program and virtual care through Lumino HealthUnited KingdomPrivate medical insurance through Freedom EliteVirtual GP and at-home care via eMed x LiviWorkplace pension through Penfold, with salary sacrifice optionParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced payReferral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.Other noticesPursuant 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 NoticeCompensation Range: $204.4K - $352KLocationNew York, NY (HQ); San Francisco, CAEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringCompensation$204.4K – $352K • Offers EquityThe final compensation will depend on the location and level at which the candidate is hired.