Applied AI Engineer
AI summary of the role
Join Ramp's Applied AI team to build and ship full-stack AI projects including AI Agents, RAG, structured extraction, and LLM inference infrastructure.
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’ll bring
- 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
Technologies
AI Agents · Retrieval-Augmented Generation · Structured Extraction · jsonformer · LLM inference · fine-tuning · full-stack · web frameworks · backend systems · cloud infrastructure
About Ramp
All-in-one finance platform (cards, AP, travel, treasury, procurement) that uses AI agents to automate spend decisions for 50,000+ businesses.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 $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 model [... source excerpt omitted ...] 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 LL
Employer postings · Data from · Sources