Software Engineer | AI-Native

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Partner with Product to understand requirements, business rules, exceptions, dependencies, and potential impacts before translating them into technical solutions.

• Break down complex and ambiguous problems into structured systems, workflows, and implementation plans.

• Use AI coding agents extensively throughout development by providing appropriate context, objectives, constraints, and iterative feedback.

• Contribute to the design and evolution of application architecture, including onboarding flows, backend integrations, asynchronous communication, and distributed components.

• Review and critically evaluate AI-generated code and approaches, identifying risks related to security, performance, concurrency, databases, reliability, and maintainability.

• Work across different layers of the application, contributing to both frontend and backend functionality rather than operating within rigid technical boundaries.

• Implement, test, review, deploy, and monitor features throughout their full lifecycle.

• Investigate anomalous system behavior and production issues using logs, metrics, traces, and other diagnostic information.

• Make informed technical decisions in situations where requirements or solutions are not fully defined, testing approaches and adapting quickly as new information emerges.

• Help establish scalable engineering practices and contribute to the evolution of the product and technical architecture.

Requirements

• Professional experience in software development and a solid understanding of the software development lifecycle, including version control, code reviews, testing, and deployment.

• Strong software engineering fundamentals covering architecture, data modeling, APIs, web applications, and system design.

• Strong analytical and critical-thinking skills, with the ability to decompose complex problems, ask effective questions, and evaluate alternative solutions.

• Ability to systematize business rules, scenarios, and exceptions into logical structures that can be translated into reliable software.

• Knowledge of software and cloud architecture, including distributed systems, serverless architectures, and/or event-driven systems.

• Hands-on experience with at least one major cloud provider.

• Experience using AI tools in software development and willingness to work intensively with coding agents throughout the development lifecycle.

• Ability to learn new technologies, systems, and business domains quickly.

• Strong product mindset, autonomy, and initiative, particularly when working with incomplete specifications or ambiguous problems.

• Comfort working in a fast-moving startup environment with changing priorities and a high pace of execution.

• Experience using coding agents regularly and at an advanced level is a strong advantage.

• Knowledge of Python, TypeScript, and AWS is a plus.

• Experience building products from early stages or working in startup environments is valuable.

• Experience with products involving multiple integrations and complex business rules is beneficial.

• Previous experience in fintech, credit, or financial services is considered an advantage.

Benefits

• Remote work model in Brazil.

• Contractor/PJ engagement.

• Opportunity to build an AI-native financial product from its early stages.

• Hands-on exposure to AI coding agents and modern software development practices.

• Broad technical ownership across architecture, development, integrations, cloud infrastructure, deployment, and production operations.

• Direct collaboration with Product and other stakeholders to shape both technical solutions and business outcomes.

• High autonomy in a fast-moving startup environment.

• Opportunity to influence engineering architecture and development practices as the product evolves.

• Exposure to complex challenges in credit, financial technology, artificial intelligence, and distributed systems.