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Senior Fullstack Engineer AI-Enabled (React/Node/Python/AI) · LATAM

Location: Anywhere in LATAM Job Type: Remote Project: AI-enabled software development / Global projects Time Zone: ARG English Level: B2 / C1

Get to Know Us Darwoft

At Darwoft , we build digital products with heart. We're a Latin American tech company focused on creating impactful, human-centered software in partnership with companies around the globe. Our remote-first culture is built on trust, continuous learning, collaboration, and a strong sense of community.

We're passionate about technology, but even more about people. If you're looking to join a team where your ideas matter, your technical judgment is valued, and your impact is real — welcome to Darwoft .

About the Role

We're looking for a Senior Fullstack Engineer AI-Enabled to join global, remote-first projects from LATAM. This role is designed for an engineer who already understands that modern software development is changing — and who actively uses AI as a core part of their engineering workflow.

This is not about simply using Copilot. We're looking for a builder with strong product thinking, solid engineering fundamentals, and the ability to orchestrate AI tools such as Cursor, Claude Code, agentic workflows, MCP servers, and LLM-based development flows to build high-quality software faster and more strategically.

You'll work across the full product lifecycle, from architecture and backend services to frontend experiences, AI-assisted prototyping, testing, documentation, and production-ready delivery.

What You'll Be Doing

• Lead end-to-end development of complete product features, from architecture and database design to polished user interfaces.
• Build scalable, maintainable applications using modern fullstack technologies.
• Use AI-assisted development tools to accelerate implementation, refactoring, test generation, debugging, and documentation.
• Orchestrate AI agents and advanced development workflows while maintaining strong human review and technical accountability.
• Design and maintain Model Context Protocol — MCP — servers to allow AI tools to interact securely with technical systems and business data.
• Validate AI-generated code to ensure quality, security, performance, and maintainability before production deployment.
• Collaborate with product, engineering, and business stakeholders to rapidly prototype and validate ideas.
• Contribute to development standards, reusable AI workflows, and engineering practices that improve team productivity.
• Work with cloud infrastructure, CI/CD pipelines, containers, and production environments.
• Stay current with emerging AI development tools, LLM capabilities, software engineering trends, and security best practices.

What You Bring

• 8+ years