Job Description

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

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

What You Bring

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

Nice to Have

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

What Darwoft Offers

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

Explore this and other opportunities at:

www.darwoft.com/careers