Lead Software Engineer, AI Agents & Orchestration

About Nu

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.

The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our Institutional Page

At Nubank, AI is not a "bolt on" feature. It is existential to our next phase of growth. We are transforming into an AI native company, where intelligent systems don t just support our products; they define them. As a Lead Software Engineer in AI Agents & Orchestration, you will be at the heart of this metamorphosis.

You will lead the technical direction for embedding Generative AI and LLMs into the lives of over 130 million customers. This role isn t about working in an isolated lab; it s about building production grade, agentic workflows and RAG pipelines that scale across multiple markets. You will leverage our specialized GenAI Platform including: inference services, evaluation frameworks, and orchestration layers to move from experimentation to global impact at "Nu-speed."

• Agency & Transformation:
  You aren t just a cog in a machine; you are an architect of the AI Native Bank.
• Scale that Matters:
  Your code will power financial empowerment for a population larger than most countries.
• The AI Multiplier:
  You will work within a formal framework that measures and rewards the productivity gains and innovation you unlock via AI.

• Lead the AI Architecture:
  Define the technical roadmap for AI native applications, ensuring our LLM integrations are scalable, cost effective, and highly reliable.
• Build Agentic Workflows:
  Design and implement complex agentic systems and RAG patterns that provide hyper-personalized financial experiences.
• Drive Engineering Excellence:
  Set the "canonical" standards for AI development at Nu, promoting reusable components
• Collaborate Across Surfaces:
  Partner with Product, Design, and Data Science to embed LLM capabilities across mobile, web, and internal operations tools.
• Optimize for Quality:
  Establish rigorous evaluation (QA) and monitoring practices for AI outputs to ensure safety, accuracy, and human in the loop integrity.
• Mentor and Scale:
  Actively participate in hiring and mentoring, fostering a high performance culture within our internal AI Academy and technical guilds.
• Strategic Decision Making:
  Balance short term delivery with medium term platform stability, making critical tradeoffs on model selection and system complexity.

Required

• Technical Leadership:
  Track record as a lead delivering high impact, large scale software systems.
• AI First Mindset:
  Professional experience implementing LLMs, Generative AI features, or RAG patterns in a production environment.
• Full Stack Thinking:
  Proficiency in building maintainable codebases and API designs that bridge model inference layers with user facing surfaces.
• Complex Problem Solving:
  Experience navigating ambiguous projects that require coordination across multiple business units and stakeholders.
• Strategic Acumen:
  Ability to link technical AI initiatives to core business drivers like operational efficiency and customer acquisition.

• Ecosystem
  
  Experience:
  
  Familiarity with PyTorch, Tensor Flow, or Python based AI tool chains.
• Modern Stack:
  Experience with Flutter (Mobile) or cloud-native infrastructure (AWS/Azure).
• Domain Expertise:
  Background in Fin Tech or highly regulated industries where "Responsible AI" and data privacy are paramount.
• Global Scale:
  Experience scaling products across diverse international markets and languages.

• Remote work, with quarterly trips to Sao…