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. Were 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.

Were passionate about technology but even more about people. If youre 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

Were 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. Were 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.

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

What Youll 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 of hands-on experience in fullstack software engineering.
• Strong experience with TypeScript React NestJS and Python / FastAPI.
• Solid understanding of software architecture system design APIs databases and scalable application development.
• Advanced experience with PostgreSQL ideally including pgvector or semantic search capabilities.
• Experience with Redis or similar caching/data structure technologies.
• Hands-on experience with cloud platforms such as AWS or Azure.
• Familiarity with containers and orchestration tools such as Docker and Kubernetes.
• Strong testing mindset including experience with tools such as Playwright Jest Pytest or similar.
• Experience using AI-assisted development tools such as Cursor Agent Mode Claude Code Windsurf or similar platforms.
• Strong understanding of prompt engineering context management and AI-assisted software delivery.
• Familiarity with RAG architectures agent orchestration LangGraph CrewAI or LLM API integrations.
• Awareness of token usage AI model costs performance trade-offs and privacy risks.
• Strong judgment to evaluate reject or improve AI-generated outputs when needed.
• English level B2/C1 for technical collaboration in global teams.

Nice to Have

• Experience building AI-powered products or internal developer tools.
• Experience designing MCP servers or custom AI workflow integrations.
• Knowledge of secure AI usage policies data privacy and intellectual property protection.
• Experience with DevSecOps practices.
• Experience working in high-autonomy product-oriented teams.
• Exposure to multi-agent development workflows.
• Experience with performance optimization in AI-assisted development environments.
• Strong interest in the future of software engineering AI-native development and human-in-the-loop engineering practices.

What Darwoft Offers

• Contractor agreement with payment in USD
• 100% remote work
• Argentinas public holidays
• English classes
• Referral program
• Access to learning platforms

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