Nubank
Senior Staff Engineer, AI Core
Palo Alto · Staff+
Sponsorship not specifiedDetected 3 days ago
PythonJavaGoFlutteriOSAndroidBackend DevelopmentFull-Stack DevelopmentCode ReviewAWSMachine LearningMentoring
About the role
- Integrate AI/ML model outputs into consumer-facing applications, ensuring real-time performance and reliability.
- Make decisive technical trade-offs that balance innovation, scalability, and operational excellence.
- Staff/Staff Engineer shipping complex, large-scale consumer-facing mobile applications.
Responsibilities
- Lead the technical architecture and design decisions for AI Private Banker's full-stack platform, ensuring scalability and performance across mobile and backend systems.
- Build and maintain Flutter mobile applications that deliver seamless conversational AI experiences to millions of users across iOS, Android, and Web.
- Design and implement distributed backend services that power recommendation engines, conversational AI integration, and real-time personalization.
- Collaborate with product, design, and data teams to translate ambitious product goals into clear, phased technical roadmaps.
- Drive engineering best practices across the team through code reviews, technical mentorship, and architectural guidance.
- Own the technical strategy for deploying and maintaining a unified user experience across multiple platforms and markets.
- Strong track record of designing, building, and operating high-throughput, fault-tolerant backend services using microservices architecture and event-driven design.
- You'll own the full stack from Flutter mobile apps that reach millions of users to distributed backend systems that process real-time recommendations and conversational AI interactions.
- 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.
- Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process.
Requirements
- Proven ability to take complete technical ownership of a major product area, making informed trade-offs on architecture and implementation.
Nice to have
- Experience in the FinTech or highly regulated industry.
- Familiarity with cloud-native development (AWS).
- Proficiency in one or more backend languages suitable for high-scale applications (e.g., Go, Java, Python, Clojure).
- Track record of scaling mobile applications across multiple global markets
- 20 days off, 14 company holidays, and a great culture that emphasizes work-life balance.
Skills
- For more details, visit https://building.nubank.com/nu-hybrid-work-model/
- Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
Compensation
- Total compensation includes base salary, RSUs, and benefits.
Benefits
- Top Tier Medical Insurance
- Top Tier Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Our learning platform of courses
- Our language learning program
- Our mental health and wellness assistance program
- Health Saving Account and Flexible Spending Account
- Total compensation includes base salary, RSUs, and benefits.
Company info
- At Nu, the AI Private Banker is our intelligent financial partner that helps millions of customers understand their finances, make confident decisions, and take action seamlessly.
- We are looking for a person who has
- 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.