Backed by Sequoia, Founders Fund and Redpoint.
About the role
We're looking for an outstanding AI Engineer with both a passion for design and experience architecting modern AI implementations. Nu's design and research function is roughly 260 people. Over the past year they have been building their own tooling: something like 100 AI-assisted solutions and 30+ local knowledge repositories, each built inside a business unit to solve that unit's problem. Most of them work. None of them talk to each other. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A track record architecting UX systems. Before AI, you designed and built the foundations of user experience at scale — design systems, component platforms, UI frameworks, front-end infrastructure used by many teams
- A love for design that shows up in your work. Since AI, you've used it to build compelling examples and more sophisticated systems than were possible before. We'd like to see them
- Agentic systems that help design scale. Ideally you've built them — agents, tooling, or infrastructure that let designers do more, faster, and better. This is the strongest signal for the role
- Evidence you've shipped. Send us GitHub, live tools, demos, and systems you can walk us through. We are not asking for a design portfolio
More about this role
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
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We're looking for an outstanding AI Engineer with both a passion for design and experience architecting modern AI implementations.
Nu's design and research function is roughly 260 people. Over the past year they have been building their own tooling: something like 100 AI-assisted solutions and 30+ local knowledge repositories, each built inside a business unit to solve that unit's problem. Most of them work. None of them talk to each other.
The Design Center of Excellence exists to turn that kind of local invention into systems the whole function can build on. It has design ops and research ops. It does not have an engineer — which means the CoE can identify a need, specify a tool, and then has no...
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