Full Stack Developer

Role Summary

We are currently looking for a Full Stack Developer to complement the product development team. The role is part of the SiloGen Products team, a fast growing group of software developers, data scientists, AI researchers, and sales professionals.

SiloGen's vision is to build a European flagship generative AI company - deeply rooted to European values - developing and deploying large language models (LLMs) that are accurate, trustworthy, and robust, and that can be used to solve a wide range of real-world problems.

We offer an international work environment with flexible work arrangements, support for personal development and a team of top-notch technical and business experts from whom to learn tons about the artificial intelligence industry and running a successful international business. In a fast growing company there is plenty of room for career growth, guided by your own interests, ambitions and willingness to build your way forward. What we value is a learning mindset and ability to take ownership of your own work. As a growth company, we are constantly building new ways of working as needs and requirements evolve.

What will you be doing

In this role, you will further develop our SaaS applications and APIs for leveraging the power of Large Language Models (LLMs). As a Full Stack Developer you will play a key role in making our generative AI products useful, easy to use, scalable and cost effective.

• Develop our web applications and API products with a particular focus on making effective and visually appealing user experiences that connect to underlying generative AI technologies.
• Ensure that user facing interfaces align with the team's established CI/CD procedures, documentation requirements, and overall architecture. 


Requirements

• Full-stack development with React, Next.js, Node.js, Javascript, Typescript, Python and relational databases
• API development, both as a consumer and as a provider and API documentation
• Experience with professional development procedures and tools like Atlassian tools, Github, IDEs
• Experience using vector databases, large language models
• Experience using docker, kubernetes, and cloud providers
• Full working proficiency in English (our company language)

Copyright © ReadingWaters 2025.