Applied AI Engineer, Fullstack
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Role Overview
The Financial Intelligence team within Ramp’s Applied AI organization powers agentic analysis, FP&A, and book-close experiences.
The role turns complex financial data into a governed data layer that AI agents can use to create analysis and other artifacts.
This is a frontend-leaning full-stack role focused on interaction design, data-dense user experiences, APIs, and production LLM systems.
Key Skills for This Role
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About Ramp
Ramp builds financial infrastructure that automates payments, risk flagging, spend categorization, and book closing for businesses.
The company emphasizes high agency, high urgency, end-to-end ownership, and building products that shape how companies manage spending.
About the Role
The Financial Intelligence team within Ramp’s Applied AI organization powers agentic analysis, FP&A, and book-close experiences.
The role turns complex financial data into a governed data layer that AI agents can use to create analysis and other artifacts.
This is a frontend-leaning full-stack role focused on interaction design, data-dense user experiences, APIs, and production LLM systems.
What You’ll Do
- Design and ship customer-facing AI experiences end to end, from React interfaces through supporting APIs and data contracts.
- Build fast, dense, interactive, and trustworthy interfaces for agentic analysis, FP&A, and book-close workflows.
- Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces.
- Partner on API and backend design so the full stack effectively serves the product.
- Use current coding models and agentic workflows as a core part of daily software delivery.
What You Need
- Deep frontend expertise with TypeScript, React, and sophisticated state management in complex, data-intensive applications.
- Fluency with the latest AI coding models and agentic development workflows.
- Comfort working across the stack, including API design and backend systems.
- Track record of shipping polished, production-grade product experiences and owning them through ambiguity.
- Experience with BI tools, data visualization, or financial and analytics products is a bonus.
Benefits
- Benefits for full-time employees include flexible paid time off, home-office equipment ordering, a health and wellness stipend, intra-office travel support, and a weekly coffee stipend.
- United States benefits include medical, dental, and vision coverage, retirement matching, parental leave, pet insurance, and in-office perks.
- Canada benefits include health coverage, disability coverage, retirement matching, parental leave, and employee assistance services.
- United Kingdom benefits include private medical insurance, virtual healthcare, and a workplace pension.
About ramp
Finance automation platform for business.
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