Software Engineer (AI Enabled) – Build production AI solutions within a high-volume FinTech platform – Hybrid, Cape Town

Acuity Consultants; Cape Town; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Job summary

Acuity Consultants is seeking a Senior Software Engineer (AI Enabled) to modernise and re-platform high-volume payment systems while embedding AI features. You will work across the full SDLC, integrating LLMs, RAG, embeddings and vector search into production-ready solutions.

You’ll own AI architecture, work with relational, NoSQL and vector databases, and help codify disciplined AI adoption, tooling, reviews, and cost-conscious deployments.

Qualifications

• 7+ years in software development with delivery leadership.
• Proficient in C# and .NET 8.
• Experience deploying AI-powered apps to production.
• Experience with LLMs, RAG, embeddings, and vector search.

Responsibilities

• Modernise high-volume payment platforms and re-platform.
• Integrate AI capabilities across products.
• Own architecture for AI features and data stores.
• Define AI coding standards and code reviews.
• Support full SDLC from design to production.

Skills

C#

.NET 8

AI/LLM integration

RAG & embeddings

Vector search

Context engineering

Cloud AWS/Azure

Docker

Kubernetes

CI/CD & testing

Tools

Relational databases

NoSQL databases

Vector databases

Job description

An excellent opportunity for a Senior Software Engineer to join a high-volume FinTech environment where AI is becoming a core part of how products are built and delivered. This role offers the opportunity to deepen your experience in AI engineering by working on production use cases involving LLMs, RAG, embeddings and vector search, while being involved in the modernisation of complex payment platforms.

This Senior Software Engineer is a hybrid opportunity, 2 days’ work from home / 3 days in office

THE COMPANY

A leading South African FinTech company that is transforming the way businesses and consumers make digital payments. The business operates at significant scale, processing high volumes of payment transactions and building technology that needs to be secure, reliable and highly available.

You’ll join an engineering environment that is actively investing in modern technology and AI, giving you the opportunity to influence both the platforms being built and how engineering teams use AI to deliver products.

THE ROLE

As a Senior Software Engineer (AI Enabled), you’ll play a key role in modernising and re-platforming high-volume payment systems, while building AI directly into the products and services being developed.

You’ll work across the full software development lifecycle, from architecture and technical design through to development, testing, deployment and production support. A major part of the role will be integrating LLMs into real-world software solutions, moving beyond simple prompt-and-response applications into more sophisticated AI features using context engineering, embeddings, vector search and Retrieval-Augmented Generation (RAG).

You’ll also take ownership of the architecture surrounding these AI capabilities, working with relational, NoSQL and vector databases and ensuring solutions are scalable, secure, reliable and cost-effective.

Beyond the software itself, you’ll help define how AI is adopted across engineering. You’ll establish practical standards around the use of AI coding tools, ensure AI-generated code is properly reviewed and tested, and help the wider engineering team adopt AI in a disciplined and responsible way.

THE REQUIREMENTS

• 7+ years’ experience as a Software Engineer / Software Developer, with experience leading technical delivery
• Strong C# and .NET 8 development experience
• Strong software engineering fundamentals and hands-on experience with system design and architecture
• Proven experience building and deploying AI-powered applications into production
• Hands-on experience working with LLMs beyond basic prompt and response, including RAG, embeddings, vector search and context engineering
• Experience with relational and NoSQL databases, with exposure to vector databases
• Experience leading the migration or re-platforming of live, high-volume systems
• Strong cloud experience with AWS or Azure
• Experience with Docker and Kubernetes
• Strong understanding of CI/CD, testing, monitoring and production support