Ruby on Rails Developer

About Us

Our dynamic Ed Tech company in South Africa is searching for the coding expertise of a dedicated and passionate remote Ruby on Rails Developer to join our fast-paced agile environment.

Role Overview

You’ll be responsible for maintaining and developing a mature Ruby on Rails application (cambrilearn.com). This involves working closely with other developers and our product owner to translate high-level architectural specs into robust implementation. We’re specifically looking for a developer who is AI-forward.

Responsibilities

• Maintaining and developing a mature application built in Ruby on Rails.
• Working closely with Business Analysts to formulate high-level architect specifications for implementation.
• Designing, building and maintaining efficient and clean Ruby code.
• Integrating multiple data sources and databases into one system.
• Providing steer and guidance for UI design, implement reactive front-end application, integration services and back end.
• Implementing automated testing platforms and unit tests.
• Designing robust, scalable and secure features.
• Promoting a learning culture by sharing knowledge and experience gained through project delivery and training.

Requirements

• BSc Degree in Computer Science or similar.
• 5-10 Years Ruby on Rails experience or similar object-oriented programming languages.
• Modernising or developing cloud native web applications to meet business needs.
• Extensive experience debugging and optimising applications.
• Extensive experience in Postgre SQL, My SQL.
• Cloud application design, development and deployment.
• A knack for writing clean, neat and dependable code.

AI-First Development Requirements

• Fully committed to using AI in your daily workflow to speed up development while improving quality.
• Deep experience with modern AI coding tools.
• Strong ability to use AI well (clear prompting, iteration, validation, and knowing when not to trust AI output).
• Solid understanding of responsible AI usage in a production environment.

Bonus Experience

• Integrating AI/LLM capabilities into products (e.g., Open AI/Anthropic APIs, prompt design, basic eval patterns, observability).
• Experience building internal AI dev accelerators (prompt libraries, reusable agent workflows, CI automation using AI, etc.).