Software Full Stack Developer

08 set - Sicilia
Viceversa

Company Description

Viceversa is an innovative fintech company supported by international investors, that envisions a new way of funding based on transparency and technology to support companies in a sustainable and ethical growth. Our platforms allows lenders to manage full cycle of lending products, with a full data-driven approach and augmented capabilities thanks to use of proprietary and public AI / ML models.

As an Augmented Full Stack Engineer (f/m/d) you made AI coding agents part of your daily practice, shipping across the full stack, and know how to build products where the agent is part of the interface.

You will design, develop, and maintain scalable web applications that power our funding platform. You will work across the full stack, implementing user-facing features, building robust APIs, and integrating services to support seamless customer journeys and internal tools. You will be part of the Tech and Product Team, working closely with Data Science, actively contributing to Viceversa's Data Driven vision and product development strategy.





This is a full-time hybrid role based in the London Area, United Kingdom, with a mix of in-office collaboration and work-from-home flexibility.

Excellent Knowledge of TypeScript and of a modern front-end framework (React, Next.Js);

Excellent Knowledge of Python, ideally with FastAPI;

Good Knowledge of REST API design;

Knowledge of SQL and of relational data modelling (PostgreSQL);

Experience withcloud platforms (in particular GCP), security-conscious development, and performance optimization is beneficial.

Practical experience with AI coding agents (e.Claude Code) in a real codebase;

Solid understanding of software engineering best practices, including testing, code reviews, version control, and continuous integration.

Ability to collaborate in cross-functional teams, communicate clearly, and contribute to technical discussions and architectural decisions.

Comfort working in a hybrid environment in the L

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