Job: AI Engineer – Graduate Programme

Company : Network Finance; Randburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Network Finance invites application for an AI Engineer to join a high-impact team in Randburg, SA. You will develop and deploy AI voice/text bots, generative AI tools, and QA systems to enhance customer experiences.

Responsibilities include building NLP/NLU for low-resource languages, leveraging LLMs, STT/TTS, and speech analytics, and translating business needs into AI-driven solutions while contributing to ongoing research and innovation.

Qualifications

• Honours degree in AI, CS, DS or related field required.
• Master’s degree preferred for advanced roles.
• AI/ML certifications add value.

Responsibilities

• Develop and deploy AI voice/text bots, generative AI tools, and call audit QA systems
• Build NLP/NLU solutions, especially for low-resource languages
• Leverage LLMs, STT/TTS, and speech analytics to improve customer engagement
• Translate business needs into AI-driven solutions
• Contribute to continuous research, experimentation, and innovation

Skills

Python

R

Java

AI/ML

NLP

SQL/NoSQL

Education

Honours Degree in AI/CS/DS

Master’s Degree preferred

AI/ML certifications a plus

Tools

PyTorch

TensorFlow

Hugging Face

Docker

REST API

Git

MLOps

Cloud platforms (Azure/AWS/GCP)

Job description

Join a high-impact AI team focused on building innovative AI solutions that enhance voice and digital customer experiences. You'll work on production-ready voice/text bots, AI-driven QA systems, and NLP tools, including language models for under-represented African languages.

Responsibilities

• Develop and deploy AI voice/text bots, generative AI tools, and call audit QA systems
• Build NLP/NLU solutions, especially for low-resource languages
• Leverage LLMs, STT/TTS, and speech analytics to improve customer engagement
• Translate business needs into AI-driven solutions
• Contribute to continuous research, experimentation, and innovation

Qualifications

• Honours Degree in AI, Computer Science, Data Science, or a related field
• Master’s Degree preferred
• AI/ML certifications a plus
• Proficient in Python, R, or Java
• Experience with ML/NLP libraries (PyTorch, TensorFlow, and Hugging Face)
• Knowledge of conversational AI, LLMs, TTS/STT APIs
• REST API development, Git, MLOps, and cloud platforms (Azure/AWS/GCP)
• SQL/NoSQL, data pipelines, and Docker (preferred)