Background

FinSense Africa was founded in 2017 to solve a growing challenge in the financial sector; integrating legacy systems with modern technologies. We began by connecting critical systems through secure APIs and middleware solutions, helping institutions improve efficiency and reduce complexity. As client needs evolved, so did we, expanding into bespoke sol...

Role Context

As an AI Engineer, this hands-on technical role builds, integrates and ships the AI services that power the organization's multi-year AI Workforce Transformation. Working under the direction of the Senior Manager, AI Engineering and the Principal AI Engineers, the role implements components of the AI platform – from orchestration workflows to LLM Gateway integrations – embedding AI into key workflows.

Responsibilities

The position requires solid software-engineering fundamentals and a working knowledge of modern AI/ML tools. It exists to turn architectural designs and standards into reliable, production-ready AI capabilities that elevate operational productivity and augment human work, leveraging unique datasets.

This is a role that requires the engineer to apply security, privacy and responsible-AI controls in everyday delivery – in line with “AI in the Loop / Human in the Loop” philosophy – escalating risks and ensuring AI is implemented safely, ethically and effectively.

Qualifications & Requirements

Education

A Bachelor’s degree in Computer Science, Software Engineering or related field (a Master’s degree in AI/ML or Data Science is a plus)

Experience

2–4 years’ software-engineering experience including hands-on exposure to AI/ML or data-intensive applications.

• Builds, integrates and ships AI services.
• Implements components of the AI platform (orchestration workflows, LLM Gateway integrations).
• Embeds AI into key workflows.
• Turns architectural designs and standards into reliable, production-ready AI capabilities.
• Applies security, privacy and responsible-AI controls.
• Escalates risks and ensures AI is implemented safely, ethically and effectively.

• Software-engineering fundamentals
• Working knowledge of modern AI/ML tools
• Hands-on exposure to AI/ML or data-intensive applications
• Security, privacy and responsible-AI controls

• Bachelor’s degree in Computer Science, Software Engineering or related field
• Master’s degree in AI/ML or Data Science (a plus)