Staff Software Engineer, AI Agents — Purple Journey

Nubank

São Paulo

Presencial

BRL 765 000 - 1 071 000

Tempo integral

14 dias+
Gerador de candidaturas

Uma candidatura feita para esta oferta — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Health Insurance
Life Insurance
Extended maternity and paternity leave
Nucleo learning platform
NuLanguage
NuCare
Vacations
Work-from-home Allowance
Equity at Nubank

Resumo da oferta

Nubank, the leading digital bank in Latin America, seeks a Staff Software Engineer, AI Agents to own end-to-end agent orchestration and engineering quality. You will design, build and maintain production AI agents operating across products, handling sensitive People data with strong privacy controls.

You will mentor engineers, collaborate with Product, People, Data, Security and platform teams, and help scale AI-enabled experiences for Nubank's global operations in a hybrid work model.

Qualificações

  • Proven Staff-level technical leadership delivering complex software systems in production.
  • Hands-on experience with production agent or LLM systems, including orchestration, tool use, structured outputs and real-world failure modes.
  • Strong backend and systems engineering across multiple services, contracts, authentication, authorization and data flows.
  • High bar for quality and operability, including evaluations, testing, monitoring and incident response.
  • Experience designing systems that handle sensitive data, privacy constraints and human-in-the-loop product decisions.
  • Ability to work through ambiguity, make architectural trade-offs and influence senior stakeholders.
  • Strong written and verbal communication skills in English.
  • Willingness to work in a hybrid model from an approved Nubank office location.

Responsabilidades

  • Designing the orchestration model for agents across product surfaces and services.
  • Creating and evolving agents for real People workflows, including tools, contracts, identity, scope and failure modes.
  • Establishing a strong engineering quality bar through evaluations, testing, observability, cost and latency controls, privacy, authorization, CI gates and incident readiness.
  • Building reliable infrastructure to process data from multiple internal platforms (Slack, Google Docs, Confluence).
  • Defining standards for architecture, reviews, skills and contracts followed by other engineers and coding agents.
  • Partnering with Product, People, Data, Security, Compliance and platform teams to align technical decisions with business needs.
  • Mentoring engineers and raising the technical bar across a growing team.
  • Supporting safe adoption of AI-powered products by engineers and non-engineers.

Conhecimentos

Staff leadership
LLM systems
Backend engineering
Observability
Privacy data
Architectural trade-offs
English
Hybrid work

Ferramentas

Slack
Google Docs
Confluence

Descrição da oferta de emprego

About Nu

Nu is the leading digital bank in Latin America, serving 140 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

About the role

Purple Journey is Nubank’s AI-first platform for performance, talent and learning. Its agents support experiences across assessments, calibration, always-on coaching, leveling and mobility - not as a single chatbot, but as a system that managers and Nubankers can trust.

As a Staff Software Engineer, AI Agents, you will own how these agents work end to end: orchestration, agent design and the engineering quality bar. You will help ensure that new agents ship as reliable, secure and maintainable products - not one-off demonstrations.

This role combines deep backend and systems engineering with production AI. You will work with sensitive People data, human-in-the-loop workflows and high-exposure stakeholders across Brazil, the United States and Canada.


You’ll be responsible for
  • Designing the orchestration model: how agents are composed, routed, scheduled, handed off to humans and operated across product surfaces and services.

  • Creating and evolving agents for real People workflows, including tools, contracts, identity, scope, failure modes and regeneration strategies - not only prompts.

  • Establishing a strong engineering quality bar through evaluations, testing, observability, cost and latency controls, privacy, authorization, versioning, CI gates and production incident readiness.

  • Building reliable infrastructure to process data from multiple internal platforms, including collaboration and knowledge systems such as Slack, Google Docs and Confluence.

  • Defining standards that other engineers and coding agents can follow across architecture, reviews, skills and contracts.

  • Partnering with Product, People, Data, Security, Compliance and platform teams to align technical decisions with business and user needs.

  • Mentoring engineers and helping raise the technical bar across a growing, cross-functional team.

  • Supporting the safe adoption of AI-powered products by engineers and non-engineers across Nubank.

We are looking for a person who has

Required

  • Proven Staff-level technical leadership delivering complex software systems in production.

  • Hands-on experience with production agent or LLM systems, including orchestration, tool use, structured outputs and real-world failure modes.

  • Strong backend and systems engineering experience across multiple services, contracts, authentication, authorization and data flows.

  • A high bar for quality and operability, including evaluations, testing, monitoring, incident response and continuous improvement.

  • Experience designing systems that handle sensitive data, privacy constraints and human-in-the-loop product decisions.

  • Ability to work through ambiguity, make architectural trade-offs and influence senior stakeholders.

  • Strong written and verbal communication skills in English.

  • Willingness to work in a hybrid model from an approved Nubank office location.

Nice to have

  • Experience with People, HR, talent, performance or learning products.

  • Experience building AI systems in regulated or privacy-sensitive environments.

  • Familiarity with agent evaluation frameworks, prompt and context management, tool contracts or multi-agent architectures.

  • Experience working across international teams and multiple time zones.

Location for this opportunity

This role can be based in an approved Nubank hub in:

  • Brazil

  • United States

  • Canada

Specific office location will be confirmed during the process.

Work Model for this Role
  • 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 connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Our Benefits

Benefits vary by country and local regulations, but generally include:

  • Health Insurance

  • Life Insurance

  • Extended maternity and paternity leaves

  • Nucleo - our learning platform of courses

  • NuLanguage - our language learning program

  • NuCare - our mental health and wellness assistance program

  • Vacations

  • Work-from-home Allowance

  • Opportunity of earning equity at Nu

Additional benefits and eligibility details will be shared during the process.

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.

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