Junior Software Engineer (AI-Enabled)

About the role

Meet Ozow

Ozow is a leading fintech company that's redefining digital payments in South Africa and beyond. We're dedicated to making payments more accessible, secure, and convenient for both businesses and consumers. As a fast-growing player in the financial technology sector, Ozow fosters a culture of innovation, diversity, and inclusivity. We believe in pushing the boundaries of what's possible and are committed to making a positive impact on the world through our payment solutions.

More about this Ozow fantastic position

Ozow is seeking a Junior Software Engineer (AI Enabled) to join our development team. You'll help build and maintain the solutions that power our digital payment platforms, learning from experienced engineers as we replatform and modernise our systems with AI. You'll use AI tools from day one, and we'll help you use them well: with discipline, care and an understanding of the code you ship.

This is an early-career, hands-on engineering role, not an agentic AI role. Your focus is building software with AI, rather than designing autonomous, long-running agent workflows.

Your role and responsibilities

Software Development

- Work with cross-functional teams to build and maintain software solutions that meet high-quality standards and business requirements.

AI-Enabled Replatforming

- Contribute to replatforming existing systems onto modern, AI-native services, migrating well-defined pieces of functionality under the guidance of senior engineers.

AI Feature Development

- Help build features that integrate with large language models (LLMs), learning techniques such as context management, embeddings and retrieval-augmented generation (RAG).

Coding

- Write clean, efficient and maintainable code following our coding standards, using AI coding tools to learn and move faster while understanding and being able to explain everything you commit.

Responsible AI Delivery

- Follow the team's standards for using AI safely across the software development lifecycle, including checking AI-generated output and protecting sensitive and payment data.

Technical Problem Solving

- Investigate and fix bugs and technical issues, escalating early when you're stuck.

System Architecture

- Learn how our systems are designed for scalability, security and performance, and apply those principles in the features you build.

Code Reviews

- Take part in code reviews, both receiving feedback on your code and reviewing others' to build your understanding of the codebase.

Testing and Quality

- Write unit tests for your code and help test features end to end, including AI features whose outputs are not always the same.

DevOps and Deployment

- Learn and use our CI/CD pipelines, containers and cloud environments (AWS or Azure) to get your code safely into production.