🧠 About Zinco

At Zinco, we’re building the back-office of the future for millions of small businesses: accounting, taxes, payroll, financing — all AI-Powered by cutting-edge technology and a team of advisors who truly understand what matters to clients.

Technology powers everything. But real impact comes from people.


🎯 Your mission

As a Full Stack Engineer, your mission is to build the interfaces, systems, and tools that drive Zinco’s internal platform and client-facing experiences.

You’ll work across front-end and back-end to create fast, elegant, and highly usable dashboards, data tools, and automations. You’ll help bring clarity and control to complex financial, tax, and payroll workflows — with precision and speed.

This role is perfect for someone who codes fast, ships often, and cares deeply about both technical excellence and product usability.

You’ll play a key role in defining our tech foundations and helping shape the future team. This is a great opportunity to have an outsized impact from day one.


🚀 What you’ll do

Develop and maintain back-end systems in Python, using FastAPI and Pydantic.
Design and automate workflows that process documents, handle emails, and interact with APIs — using tools like n8n, Langchain, MCP, and OCR.
Contributing to the deployment and monitoring of services, we currently use Railway for deployment.
Ensure systems are secure, scalable, and resilient.
Write clean, maintainable code — fast — and take ownership from idea to release.
Design and implement dashboards, chat experiences and tools used by our teams and clients.
Collaboration on ML pipelines or intelligent systems — experience with ML and MLOps is a plus.


🧬 What we’re looking for

Based in Madrid - remote work is fine, but we love our office vibes!
Experience with Python (FastAPI, Pydantic, Pandas) and JavaScript (ReactJS or similar frameworks).
Experience with deployment pipelines and infrastructure.
Passionate about experimenting with AI-powered developer tools like Cursor, Windsurf, or similar to accelerate coding and problem-solving.
Hands-on experience with tools like MCP, Langchain, CrewAI, n8n, or similar agent/workflow frameworks.
Deep understanding of data security and privacy, especially when dealing with sensitive client information.
Pragmatic and fast: you move with urgency, write clean code, and prioritize impact.