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.
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About the role
Our mission is to evolve the platform architecture and workflows that let Insurance scale across more customers, more products, and new markets, and to close the gap between AI capabilities built centrally and their reliable adoption in production.
As a Staff Software Engineer - Insurance, you will be a senior technical leader across two connected fronts: diagnosing and evolving our service architecture as the platform scales, and leading the rollout of AI/agentic tooling across the team's engineering workflow, from spec and code generation to testing and validation.
You will operate at platform scale, building infrastructure and practices other teams depend on, while partnering closely with Product, Data, Security, Compliance, and Insurance partners. You'll be part of a lean, entrepreneurial team that delivers outsized business impact while protecting millions of customers, sitting at the intersection of embedded insurance, Nu's most important customer surfaces, and our insurer partners. This team is also one of the earliest adopters of agentic engineering within Nubank, putting you at the center of how that transformation actually happens.
You’ll be responsible for
Diagnosing and evolving our platform architecture to remove constraints on scale, supporting a growing user base, expanding product portfolio, and global expansion.
Providing AI-first engineering leadership, setting the standards and practices for how the team builds and evolves with AI/agentic tooling.
Cutting through ambiguity, surfacing trade-offs and aligning cross-functional teams (Product, Data, Security, Compliance, Insurance partners) around clear outcomes.
Ensuring observability for AI systems and platform services in production (tracing, logging, alerting).
Mentoring engineers on technical approach across both architecture and AI/agentic best practices, raising the team's execution level over time.
Evaluating and incorporating both internal (Nubank) and external AI tools and agents into our workflows, based on what best fits our needs.
Partnering with Nubank's central AI/platform teams and other BUs to share learnings and stay aligned on tooling direction.
Enabling more Nubankers to safely contribute to AI-powered products over time (engineers and non-engineers)
Embedding responsible, auditable practices in everything shipped, across platform and AI systems alike, per applicable regulations and internal risk standards.
We are looking for a person who has
Required
Proven technical leadership as a senior/staff engineer delivering high-impact, large-scale software systems in production.
Track record of mentoring and uplifting peers on technical approach and AI-native workflows.
Strong systems/platform engineering experience: architecture, CI/CD, test automation, able to evolve infrastructure to support reliable adoption of new technology.
Genuine interest and foundational knowledge of AI/LLM concepts, ready to build hands-on fluency with our agentic tooling.
Ownership mindset for rolling out AI/agentic tooling across a team, driving adoption of testing, CI/CD validation, and evaluation practices, not just personal use.
Strong full-stack thinking: ability to design maintainable codebases and APIs that bridge model inference/orchestration layers with user-facing surfaces.
Experience navigating ambiguous, cross-functional projects that require coordination across multiple business units and stakeholders.
Demonstrated strategic acumen, linking technical initiatives to business drivers such as operational efficiency, risk, and customer acquisition or engagement.
Experience in fintech or other regulated industries (e.g., financial services, insurance, payments) or similarly complex domains.
Advanced English for daily collaboration in a global environment.
Nice to Have
AI-first mindset with professional experience implementing LLMs, generative AI, agentic patterns and/or RAG systems in real-world products.
Solid understanding of prompt engineering, tool calling, context management, and agent loops, with ability to contribute to shared agent libraries and commands.
Experience building or contributing to automated test/CI-CD evaluation frameworks that catch and fix failures with minimal human intervention.
Background in insurance or embedded insurance products.
Experience scaling products across international markets and languages.
Familiarity with Portuguese and/or Spanish to read or review customer-facing copy (optional).
Prior experience in AI-first startups or big-tech environments with strong AI/ML teams.
Location for this opportunity
São Paulo, Buenos Aires
Hybrid 2–3 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, visit https://building.nubank.com/nu-hybrid-work-model/
For this role, we offer a competitive, global-level package that currently includes:
Competitive compensation and company equity
Bi-annual trips to Brazil to build relationships with coworkers
Top-tier Medical Insurance
Top-tier Dental and Vision Insurance
Generous time off and company holidays
Life Insurance and AD&D
Extended maternity and paternity leaves
NuLanguage – our language learning program
NuCare – our mental health and wellness assistance program
Specific benefits may vary slightly by country and will be detailed during the process.
If you want to help evolve the architecture and AI-powered workflows that let Nubank’s Insurance platform scale across products and markets — combining deep systems thinking with hands-on agentic engineering — we’d love to hear from you.
Apply now to be our Staff Software Engineer – Insurance.
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