Software Engineer – AI-Native

Donnes

. Partner with Product to understand requirements, business rules, exceptions, dependencies, and impacts .

Posted 9/29/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals, including architecture, data modeling, and APIs, while effectively utilizing AI tools throughout the development lifecycle. Capable of breaking down complex problems and systematizing information to create structured solutions in a fast-paced startup environment.

Highest-signal resume keywords

Software Development LifecycleAI Tools in Software DevelopmentCloud Systems KnowledgePython ProgrammingTypeScript Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureData ModelingAPIsVersion ControlCode ReviewTestingDeploymentDistributed ArchitecturesServerless ArchitecturesEvent-Driven Architectures

Soft Skills

Analytical ThinkingCritical ThinkingProblem-SolvingAutonomyInitiative

Tools & Technologies

AWSAI AgentsCloud Provider

Industry Keywords

FintechLendingFinancial ServicesStartup Environment

Tech Stack

Tools & technologies

AWSCloudPythonTypeScript

About the role

Key responsibilities & impact

Partner with Product to understand requirements, business rules, exceptions, dependencies, and impacts
Break down complex problems and turn them into structured systems and solutions
Use AI agents extensively throughout the development process by providing context, objectives, and constraints, and iterating on the results
Participate in designing and evolving the architecture, including onboarding flows, back-end integrations, asynchronous communications, and different application components
Critically assess AI-generated approaches and code, identifying potential security, performance, concurrency, database, and maintainability issues
Work across different application layers, without a rigid division between front-end and back-end
Implement, test, review, and follow features through to production
Investigate anomalous behavior and root causes using logs, metrics, and traces
Make decisions in still-ambiguous scenarios by testing approaches and rapidly refining solutions

Requirements

What you’ll need

Experience in software development and understanding of the development lifecycle, including version control, code review, testing, and deployment
Strong software engineering fundamentals, including architecture, data modeling, APIs, and how web applications work
Analytical and critical thinking, with the ability to break down complex problems, ask the right questions, and evaluate different solution paths
Ability to systematize information by turning rules, scenarios, and exceptions into logical structures that can be translated into software
Knowledge of software architecture and cloud systems, including concepts related to distributed, serverless, and/or event-driven architectures
Experience with at least one cloud provider
Experience using AI tools in software development, with an openness to working intensively with coding agents throughout the development lifecycle
Ability to quickly learn new technologies and business contexts
Product mindset, autonomy, and initiative to address problems that do not always come with a ready-made specification
Comfortable working in a startup environment with a fast pace of execution and dynamic priorities
Preferred: recurring, advanced experience with coding agents
Preferred: knowledge of Python, TypeScript, and AWS
Preferred: experience building products from their early stages or working in startup environments
Preferred: experience with systems involving multiple integrations and complex business rules
Preferred: experience in fintech, lending, or financial services