Software Engineer
Posted 7 Oct 2026
Advertised as “Senior Software Engineer (AI-Enabled)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
- Employment
- On-Site
No salary listed for this role.
Study levelDiploma or higher
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 Senior Software Engineer (AI Enabled) to join our development team. You'll lead the design and delivery of the solutions that power our digital payment platforms, with AI built into both what we deliver and how we deliver it. You'll shape how AI models are integrated as we replatform and modernise our systems, set the standard for disciplined use of AI tools across the software development lifecycle, and help the wider team adopt these ways of working.
This is a senior, hands-on engineering role, not an agentic AI role. Your focus is building and modernising software with AI, rather than designing autonomous, long-running agent workflows.
Your role and responsibilities
Software Development
- Lead the design and delivery of software solutions with cross-functional teams, translating business problems into technical approaches that meet high-quality standards.
AI-Enabled Replatforming
- Lead the replatforming of existing systems onto modern, AI-native services, defining the migration approach, sequencing and risk controls so current platforms stay live, stable and secure.
AI Feature Development
- Design and build features that integrate with large language models (LLMs) beyond simple request and response, including context engineering, embeddings and retrieval-augmented generation (RAG).
- Own the data layer behind AI features, including embeddings and vector search, alongside relational and NoSQL data stores.
Coding
- Write clean, efficient and maintainable code that sets the example for the team, using AI coding tools to move faster without lowering the bar on quality, security or testing.
Responsible AI Delivery
- Define and maintain the team's standards and guardrails for using AI safely across the software development lifecycle, from design and coding to testing, review, deployment and documentation.