Fullstack Developer (AI)

TL;DR

Fullstack Developer (AI): Developing frontend features, backend services, and APIs for AI-native enterprise solutions with an accent on scalable architecture and AI integration. Focus on building responsive UI components, optimizing database interactions, and implementing AI-assisted engineering workflows.

Location: Remote (Must be based in Argentina, Brazil, or Colombia)

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Develop and maintain frontend features, backend services, APIs, and data integrations.
• Implement product requirements and UX designs using established architectural patterns.
• Build reusable, responsive, and accessible user-interface components.
• Develop backend business logic, database interactions, and background processes.
• Create and maintain unit, integration, component, and end-to-end tests.
• Collaborate with DevOps and QA to resolve deployment issues and validate acceptance criteria.

Requirements

• 3 to 6 years of professional software development experience.
• Proficiency with JavaScript, TypeScript, and React (or other modern component frameworks).
• Backend development experience using Node.js, Python, Java, or C#.
• Experience building/consuming REST APIs and writing SQL queries.
• Experience with Git, pull requests, and team-based development workflows.
• Must be based in Argentina, Brazil, or Colombia.

Nice to have

• Experience with AWS or other major cloud providers and PostgreSQL.
• Knowledge of event-driven systems, message queues, or asynchronous processing.
• Experience with AI APIs, prompt-based applications, or AI-assisted development tools.
• Experience working on multi-tenant SaaS platforms.
• Experience in an Agile or iterative product-development environment.

Culture & Benefits

• Opportunity to shape real-world AI-driven projects across various industries.
• Part of a global team with cross-continental collaboration.
• Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards.