AI Integration Engineer - Build Scalable AI APIs

Placements24; Upington; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Professional development

Upington location environment

Job summary

Placements24 in Upington seeks an AI Integration Engineer to bridge AI development with existing systems. You will design APIs, integrate AI models, and ensure scalable deployment across platforms, collaborating with AI/ML teams and software engineers.

The role emphasizes practical software engineering principles, AI/ML concepts, and experience with cloud platforms and containers to improve operational efficiency and drive AI adoption within the organization.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Proven experience in software integration, API development, and system architecture.
• Understanding of AI/ML concepts and ability to work with AI models.
• Proficiency in Python, Java, and C++.
• Experience with cloud platforms and containerization technologies is a plus.

Responsibilities

• Design and implement APIs and integrations for AI models and platforms.
• Collaborate with AI/ML teams and software engineers to ensure smooth AI solution integration.
• Develop and maintain robust, scalable, and efficient integration systems.
• Troubleshoot and resolve issues related to AI system integrations.
• Document integration processes and best practices for AI deployment.

Skills

Python

Java

C++

API development

Cloud platforms

Containerization (Docker/Kubernetes)

Education

Bachelor's degree in Computer Science / Software Engineering

Tools

Docker

Kubernetes

Job description

Placements24 in Upington seeks an AI Integration Engineer to bridge AI development with existing systems. You will design APIs, integrate AI models, and ensure scalable deployment across platforms, collaborating with AI/ML teams and software engineers.

The role emphasizes practical software engineering principles, AI/ML concepts, and experience with cloud platforms and containers to improve operational efficiency and drive AI adoption within the organization.