001H - Senior Fullstack Engineer AI-Enabled (React/Node/Python/AI) · Senior · Re

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 of hands-on experience in fullstack software engineering. - Strong experience with TypeScript, React, Next.js, Node.js, 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 - Argentina's public holidays - English classes - Referral program - Access to learning platforms Explore this and other opportunities at:

www.darwoft.com/careers