Lead AI Engineer — Productivity Systems

About Us

Nu is one of the largest digital financial platforms in the world with more than 122 million customers across Brazil Mexico and Colombia. Guided by our mission to fight complexity and empower people we are redefining financial services in Latin America and this is still just the beginning of the purple future were building.

Listed on the New York Stock Exchange (NYSE: NU) we combine proprietary technology data intelligence and an efficient operating model to deliver financial products that are simple accessible and human.

Our impact has been recognized by global rankings such as Time 100 Companies Fast Companys Most Innovative Companies and Forbes Worlds Best Bank. Visit our institutional pagehttps:// the Role

We are looking for an engineer who has already built with AI in production. You have shipped LLM-powered systems (agents copilots RAG pipelines or AI-driven automations) you know what breaks when they meet real users and you know how to make them reliable enough for business-critical workflows.

Your day-to-day is applied AI engineering: designing agentic workflows integrating LLMs into internal tools and business processes building evaluation and guardrail layers and turning manual high-friction workflows into AI-assisted ones that thousands of Nubankers depend on.

This is not an infrastructure role. You will not spend your days on Terraform IAM policies or email deliverability. Cloud fluency helps but the core of this job is the AI layer prompts context agents evaluations integrations and the product judgment to know where AI genuinely helps versus where deterministic automation is the right answer.

Key Responsibilities

Applied AI & Agentic Systems

• Design build and ship LLM-powered agents and workflows that automate complex internal processes end-to-end.
• Work hands-on with frontier models and the modern AI stack: tool/function calling structured outputs MCP RAG multi-agent orchestration.
• Own the full lifecycle of an AI system: from problem discovery and prototype to production hardening monitoring and iteration.

Evaluation & Reliability

• Build evaluation harnesses guardrails and quality feedback loops so AI systems can be trusted in production not just demoed.
• Define what good looks like for non-deterministic systems and instrument it: evals regression suites human-in-the-loop review where it matters.

Intelligent Workflow Automation

• Use orchestration platforms (e.g. n8n) and custom integrations as delivery vehicles for AI-in-the-loop automation across business units.
• Integrate enterprise platforms (Slack Google Workspace Jira internal APIs) into coherent AI-assisted workflows.

AI Adoption & Governance

• Drive the technical strategy for AI adoption within engineering and business workflows.
• Develop governance frameworks that make AI coding assistants and agents safe compliant and effective balancing developer freedom with security and operational risk.

Multiplier Work

• • Create Golden Paths reference implementations and documentation that let other teams build AI workflows safely on their own.
  • For Lead/IC6: act as the technical reference for applied AI in the domain influence architecture beyond the immediate team mentor senior engineers and partner with ITSec and Privacy to align AI solutions with company policy.
  • For Senior/IC5: execute complex AI projects with high autonomy identify workflow bottlenecks worth automating and mentor mid-level engineers.

What are we looking for

Must Have Demonstrated Applied AI Experience

• Shipped LLM systems in production: at least one real system with an LLM at its core an agent copilot RAG application or AI-driven automation used by real users not a proof of concept.
• Hands-on AI engineering: practical fluency with prompt and context engineering tool/function calling structured outputs and agent frameworks or orchestration patterns.
• Evaluation mindset: experience measuring and improving AI output quality evals test sets feedback loops and an honest understanding of failure modes (hallucination drift prompt injection).
• Solid software engineering foundation: proficiency in Python TypeScript or Clojure; strong API and integration skills; the discipline to ship maintainable systems not notebooks.
• AI product sense: the judgment to identify which problems deserve an LLM which need deterministic automation and which should not be automated at all.

Nice to Have

• Experience with workflow automation platforms (n8n Zapier or custom orchestration engines).
• Exposure to cloud services (AWS) and infrastructure-as-code.
• Familiarity with AI developer tooling (Claude Code Cursor Copilot) and AI governance practices.

Behavioral & Strategic Skills

• Builder bias: you prototype fast validate with real users and harden what works.
• Governance-aware: you understand that efficiency must be balanced with security and you can design AI systems that are safe by default without destroying velocity.
• Multiplier: you enjoy documenting your work creating Golden Paths and teaching others how to use what you build.
• Comfortable with ambiguity: AI capabilities shift monthly; you treat that as an opportunity to re-solve problems better not as churn.

Location

• Miami United States
• Palo Alto United States
• Washington DC United States

OurBenefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package if applicable.

Work Model for this Role

Hybrid 23 times/week: Our hybrid work model brings us to the office at least twice a week on strategic days designed to maximize team connection and collaboration. For more details visithttps:// Disclosures

• Palo Alto: Total compensation includes base salary RSUs and benefits. Base salary range: $11712 - $17568