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
