Fullstack Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, develop, and maintain full-stack applications encompassing front-end, back-end, databases, APIs, and cloud services.

• Utilize modern AI development tools to incorporate intelligence and automation into products.

• Manage projects from start to finish with autonomy and complete ownership of deliverables.

• Adhere to best practices in development methodology, testing, CI/CD, and code quality.

• Construct, test, and deploy production-ready systems that prioritize security, scalability, and performance.

• Collaborate with design teams to create clean, intuitive, and visually appealing user experiences.

• Continuously refine architecture and processes for enhanced efficiency, automation, and reliability.

• Partner closely with cross-functional teams to realize innovative AI-powered products.

⛳️ Requirements

• Strong experience in building and scaling modern applications.

• Profound proficiency in the latest AI development tools alongside a comprehensive understanding of LLMs and AI functionality.

• Self-motivated and able to thrive with ownership of tasks.

• Passionate about creating products from the ground up.

• Strong emphasis on quality, security, performance, and user experience.

• Extensive expertise with AI development tools and frameworks.

• Significant experience in delivering production-grade applications utilizing robust processes and best practices.

• Demonstrated ability to work independently with a sense of ownership and accountability.

• Experience in launching products, including deployment, monitoring, and post-launch optimization.

• Strong focus on security, performance optimization, scalability, and automation.

• Proficiency in Python.

• Skills in database design (SQL/NoSQL).

• Experience in REST API development.

• Competence in JavaScript/TypeScript.

• Knowledge of HTML5.

• Familiarity with CSS.

• Experience with React or similar frameworks.

• AWS experience preferred.

• Familiarity with Docker.

• Knowledge of Kubernetes.

• Experience with CI/CD pipelines.

• Understanding of Infrastructure as Code.

• Knowledge of Claude Code / OpenAI Codex.

• Familiarity with Agentic AI frameworks.

• Experience with RAG pipelines.

• Experience in microservices or event-driven architectures.

• Knowledge of data engineering pipelines.

🏝️ Benefits

• Equity Package: Meaningful ownership in a startup that is already exceeding expectations.

• Career Growth: Clear paths for advancement, mentorship from seasoned engineering/AI leaders, and opportunities to shape your role as we expand.

• Creative Autonomy: Freedom to experiment, iterate, and lead initiatives.

• Collaborative Culture: Work closely with the founder and engineering leaders.

• Bonus