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Added 3 mins ago
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Project Engineering Coordinator
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 18 mins ago
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Python Developer
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Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Python Engineer/Application Developer
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- Full-time
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…(environmental, mechanical, and electrical stresses), signal quality and data integrity, interface reliability, long-duration and endurance performance, fault injection and recovery, and…
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Nubank

AI Engineer, Design

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

About Nu

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.

Visit our Institutional Page

About The Role

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

Nubank'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 one to build it.

This is that hire: the first engineer in the CoE, and the person who architects the systems that let design at Nubank scale. You'll work directly with the designers and researchers who use what you build, and the person who scopes a system is the person who builds it.

What You'll Work On

NuBrain - the first priority. A global knowledge system for the design and research function, consolidating the 30+ local repositories that already exist. The hard part is not merging content; it's the context architecture - how retrieval is structured, how token consumption stays sane, and how content reaches people and agents at the moment it's useful.

New tools that enable superlative creative marketing and brand expressions at scale. As Nubank scales globally, we are inventing new ways to express our brand in the product and through our marketing. Instead of hiring fleets of marketing designers in every country, we aim to build tools that enable consistent high quality creative expression to be driven centrally.

Canonicalizing what already exists. 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.

Deciding the shape of the answer. 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.

What You'll Do

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.

What We're Looking For

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.

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.

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.

Backgrounds that tend to fit

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.

What This Role Is Not

Not a designer who codes. The engineering bar is the bar.
Not a generalist backend or infrastructure role. UX systems experience is core.
Not customer-facing mobile product work. This is internal systems and tooling for the design function.
Not a research or modeling role. (The "design modeling" profile - building the models AI consumes - is a different conversation, later.)

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here

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More about this job

Responsibilities

Architect and build AI-powered systems and tools for Nubank’s design and research function, including NuBrain, creative marketing tools, and the consolidation of existing local solutions. Own the tooling roadmap, work directly with designers and researchers to scope and ship solutions, instrument them with metrics and observability, and communicate technical trade-offs across the organization.

Requirements

The role calls for a deeply experienced AI engineer with recent experience building AI systems and a track record architecting UX foundations such as design systems, UI platforms, or front-end infrastructure. Strong candidates have built agentic tools for designers, can lead projects across stakeholders without relying on formal authority, and can demonstrate shipped work through code, tools, demos, or systems.

Skills

AI Engineering
AI Systems Architecture
Agentic Systems
UX Systems Architecture
Design Systems
UI Platforms
Front-End Infrastructure
MCP Servers
Knowledge Retrieval
Token Optimization
Rate Limiting
Response Latency Optimization
Observability
Metrics Instrumentation
Technical Roadmapping
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Engineering
Agentic Systems
NuBrain
Knowledge Systems
Knowledge Repositories
Context Architecture
Retrieval
Token Consumption
Rate Limiting
Response Latency
MCP Servers
Claude Skills
AI Agents
Design Systems
UI Frameworks
Component Platforms
Front-End Infrastructure
UX Systems
Creative Marketing
Brand Expression
Design Operations
Research Operations
Metrics
Observability
Technical Roadmaps
Stakeholder Management
Internal Tools
Platform Architecture

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