AI Full-Stack Engineer - Cloud & ML Innovator

Belay Talent Solutions; Sandton; On-site; ZAR 900,000 - 1,400,000; Full time

Job summary

Belay Talent Solutions seeks an AI Full Stack Engineer in Johannesburg North to design and deploy AI-powered applications, intelligent automation, and cloud-based platforms. You’ll work across the full development lifecycle, combining software engineering, Generative AI, and systems integration.

You’ll build front-end and back-end systems, APIs, and automation solutions, deploying in Azure, AWS, or GCP environments, and applying DevOps best practices to deliver business transformation.

Qualifications

• Degree in a related field as listed.
• 3–5 years of full-stack development experience.
• Experience building production-ready applications.
• Experience with AI, Generative AI, ML, automation, or intelligent solutions.
• Strong cloud experience (Azure, AWS, or GCP).
• Experience building REST APIs and integrating systems.

Responsibilities

• Design, build, and deploy AI-powered applications and intelligent assistants.
• Develop scalable front-end and back-end solutions.
• Build APIs and integrate internal and external business systems.
• Develop automation and machine learning solutions to improve business processes.
• Deploy and support applications in Azure, AWS, or GCP environments.
• Implement DevOps best practices, CI/CD pipelines, and cloud deployments.
• Collaborate with business stakeholders to turn ideas into innovative solutions.
• Research emerging AI technologies and contribute to digital transformation initiatives.

Skills

Analytical mindset

Problem solving

Independent working

Excellent communicator

Education

Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, IT, or related field

Tools

Python

JavaScript/TypeScript

React/Angular

Node.js /.NET

SQL & Database Design

REST APIs

Git

Azure

AWS

GCP

Docker

Kubernetes

Job description

Belay Talent Solutions seeks an AI Full Stack Engineer in Johannesburg North to design and deploy AI-powered applications, intelligent automation, and cloud-based platforms. You’ll work across the full development lifecycle, combining software engineering, Generative AI, and systems integration.

You’ll build front-end and back-end systems, APIs, and automation solutions, deploying in Azure, AWS, or GCP environments, and applying DevOps best practices to deliver business transformation.