Ramp
Senior
Ship BI-tool-quality React interfaces sitting on top of production LLM agent systems
Ramp's Financial Intelligence team needs a frontend-leaning engineer who owns customer-facing surfaces for agentic financial analysis, FP&A, and book-close end to end — from React UI through the API and data contracts feeding it. This interview digs into complex client-side state for data-dense, agent-driven, real-time surfaces, plus fluency with AI coding tools as a daily workflow.
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What this interview tests
- React and TypeScript at production scale
- Complex client-side state for data-dense/real-time surfaces
- Agentic/LLM-driven UI patterns (streaming, partial updates)
- API and data contract design collaboration
- Daily fluency with AI coding models and agentic dev workflows
- Ownership through ambiguity
Common question themes
Describe the most complex client-side state problem you've solved and why
Tell me about a UI you built for a data-dense or BI-style workflow
How have you designed a frontend experience around an LLM agent's output
Walk me through how you use AI coding tools in your day-to-day workflow
Tell me about a time you shaped an API contract, not just consumed one
Describe shipping a production-grade feature end to end under ambiguity
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