Nubank

Lead AI Engineer — Productivity Systems

Palo Alto

Sponsorship not specified$12k-$18kDetected 3 days ago

TypeScriptPythonAWSTerraformLLMsRAGAgentic AIJira

About 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.
You will not spend your days on Terraform, IAM policies, or email deliverability.

Design, build, and ship LLM-powered agents and workflows that automate complex internal processes end-to-end.
Own the full lifecycle of an AI system: from problem discovery and prototype to production hardening, monitoring, and iteration.
Build evaluation harnesses, guardrails, and quality feedback loops so AI systems can be trusted in production - not just demoed.
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.
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.
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.
Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process.

Must Have - Demonstrated Applied AI Experience
proficiency in Python, TypeScript, or Clojure
you understand that "efficiency" must be balanced with "security," and you can design AI systems that are safe by default without destroying velocity.
Solid software engineering foundation: proficiency in Python, TypeScript, or Clojure

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
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.
Comfortable with ambiguity: AI capabilities shift monthly
you treat that as an opportunity to re-solve problems better, not as churn.
Miami, United States

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.

Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia.
The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey, promoting financial access and advancement with responsible lending and transparency.

This listing is sourced directly from Nubank's careers page and normalized into a canonical job model.