AI engineer for design systems

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. We're looking for an outstanding AI Engineer with both a passion for design and experience architecting modern AI implementations.

• A global knowledge system for the design and research function, consolidating the 30+ local repositories that already exist.
• New tools that enable superlative creative marketing and brand expressions at scale.
• Roughly 100 AI solutions have been built locally by designers and researchers. Someone needs to understand what they are, decide what becomes standard for the function, and retire the rest before the duplication compounds.
• Plugin, MCP server, agent, Claude skill, or a full platform — that call is yours to make and defend. Part of the job is telling the CoE that the tool they asked for should be something else.
• Architect and build the systems design at Nubank runs on — increasingly agentic ones.
• Sit with designers and researchers, understand the need underneath the request, and turn it into something scoped and buildable.
• Stand up or reuse the infrastructure, write the code, and ship it to the function.
• Instrument what you build. Metrics and observability are part of the deliverable, not a follow-up.
• Own the roadmap for CoE tooling: prioritize, sequence, say no, and keep things moving without a PM behind you.
• Be the technical voice in a design organization — make trade-offs legible to people who don't read code.

• An outstanding, deeply experienced AI engineer.
• This is an engineering hire first. You've spent years building systems other people build on, and recent years working with AI models on things like token consumption, rate limiting, response latency, MCP servers, and other modern AI engineering challenges.
• 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.
• A protagonist.
• You'll serve a 260-person function as a centralized hub. That means navigating stakeholders, leading projects, and pushing work through an organization that doesn't report to you. You drive the work yourself rather than relying on someone else to run the project.
• 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.
• Будет плюсом: 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; Design systems and UI platform engineers at design-led product companies; Engineers at design tooling companies; Engineers who have been building AI and agentic tools for designers — in their day job, in open source, or in public; Founders and technical leads who were the engineer behind a design-led product

• Условий в вакансии нет