Hybrid AI Software Engineer for Scalable Systems

Placements24; Pretoria; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Professional development

Job summary

Placements24 is seeking a skilled AI Software Engineer in Pretoria to build and optimize intelligent systems. You will implement AI algorithms, develop scalable software, and collaborate with research teams to bring cutting-edge AI technologies to life.

You will work on production-ready ML workflows, deploy AI-powered applications, and contribute to a collaborative engineering culture with hybrid work options. A strong foundation in software engineering and ML is required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of professional software development experience with AI or ML integration.
• Proficiency in Python, Java, or C++.
• Experience with ML frameworks (TensorFlow, PyTorch, Keras).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong understanding of algorithms, data structures, and design patterns.

Responsibilities

• Develop, test, and deploy AI-powered software applications and services.
• Integrate ML models into production systems for performance and reliability.
• Write clean, maintainable code following software engineering best practices.
• Collaborate with data scientists to optimize ML workflows.
• Design scalable data pipelines for training and inference.
• Troubleshoot and debug AI components and systems.

Skills

Python

ML frameworks

TensorFlow

PyTorch

Java

C++

Cloud

Docker

Kubernetes

Education

Bachelor's degree in CS/Engineering

Master's degree (preferred)

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Placements24 is seeking a skilled AI Software Engineer in Pretoria to build and optimize intelligent systems. You will implement AI algorithms, develop scalable software, and collaborate with research teams to bring cutting-edge AI technologies to life.

You will work on production-ready ML workflows, deploy AI-powered applications, and contribute to a collaborative engineering culture with hybrid work options. A strong foundation in software engineering and ML is required.