Staff Software Engineer - Digital Experience Platform

Architect the DXP Studio pipeline: Design and lead the end-to-end architecture for the Figma → DXP Spec → BDC code generation flow, ensuring vendor-agnostic abstractions (DXP Spec Protocol), NuDS component fidelity, and production-ready output quality.

Lead AI agent integration & orchestration: Define how AI agents (codegen, QA, design-mapping, etc.) are composed, executed, and supervised inside DXP; drive decisions on LLM provider abstraction, context-assembly strategies, MCP tool surfaces, and execution environments.

Own the DXP Dictionary and knowledge architecture: Architect the knowledge base that turns generic AI into Nubank-aware agents — how NuDS specs, tokens, canonical patterns and domain knowledge are ingested, structured, and consumed by generation and validation pipelines.

Drive cross-platform integration: Lead the technical integration model with NuDS (component catalog & tokens), BDC/Core (patterns & services), HPP (widget / homepage infrastructure), and App Excellence (observability & quality metrics), defining clear contracts that position DXP as an orchestrator on top of existing platforms.

Establish quality-at-generation-time: Design automated quality enforcement for generated experiences — NuDS compliance, token correctness, accessibility rules, structural integrity, golden tests — so governance happens by default at generation time, not via manual post-hoc review.

Set technical strategy and roadmap: Contribute to the 6–18 month technical strategy for DXP, translating strategic bets into executable plans, identifying architectural risks and trade-offs between POCs and long-term scalability.

Multiply engineering excellence: Mentor engineers within DXP and partner teams (NuDS, BDC, Mobile Platform), lead design reviews and RFCs, and raise the bar for AI-augmented development practices across Nubank.

Must Have

Genuine obsession with AI tools and workflows — deep, hands-on, daily experience with LLMs, AI agents and modern AI-powered dev tools (e.g., Claude Code, Cursor, Copilot, custom agents, MCP servers); you are the person who has tried new tools before others even ask about them.

Strong software architecture skills , with experience designing multi-component platform systems that integrate AI/LLM capabilities into production workflows.

Deep understanding of design-to-code pipelines, design systems or component-driven UI development , ideally bridging design tooling (e.g., Figma) and code generation.

Practical experience with AI/LLM integration in software products : prompt engineering, agent orchestration, context management, RAG architectures and/or MCP tool development.

Proven ability to lead cross-functional technical initiatives involving multiple teams and stakeholders, driving alignment and delivery in ambiguous environments.

Excellent communication skills , translating complex architectural decisions into clear narratives for Product, Design and senior leadership.

Product-minded mindset , balancing technical excellence with pragmatic delivery — comfortable proving value via POCs before scaling platform capabilities.

Experience with Nubank’s stack or similar patterns : BDC (Backend-Driven Content), and broader mobile/frontend ecosystems.

Will be a Plus

Experience with Flutter at the intersection of design systems and code generation.

Hands-on experience building or integrating AI coding agents (e.g., Claude Code, Devin, Cursor) into team workflows.

Familiarity with workflow orchestration platforms , agent farms or multi-agent systems.

Understanding of analytical architectures , experimentation platforms, feature flags and progressive rollout strategies for generated experiences.

Prior experience productizing internal developer tools or platforms that serve large engineering orgs.

Contributions to open-source AI developer tools or active presence in the AI-for-developers community.

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/

If you want to define how an AI-native bank designs and ships product experiences — turning agentic workflows, design systems and code generation into everyday tools for hundreds of teams — we’d love to hear from you.

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.