AI Engineer — Production ML & Secure Deployments

Agile Bridge; Pretoria; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Agile Bridge is seeking an AI Engineer to turn promising models into secure, scalable AI capabilities. You will design architectures, train and evaluate models, and integrate them into software systems while improving production performance.

Collaborate with data scientists, software engineers and platform teams; focus on production readiness, data quality, latency, security and responsible AI. Expect to build maintainable services, CI/CD pipelines, and monitor AI workloads.

Qualifications

• A bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics or a related quantitative field.
• Typically 3-5 years' relevant experience building and operationalising machine learning or deep learning capabilities.
• Strong Python capability and evidence of sound software-engineering practice.
• Hands-on experience developing, evaluating and improving machine learning or deep learning models.
• Experience integrating model-backed capabilities into a software or production environment.
• The judgement to balance model quality with latency, scalability, reliability, security, maintainability and cost.

Responsibilities

• Translate product and technical requirements into model objectives, architecture decisions and measurable acceptance criteria.
• Select, implement and train machine learning, deep learning, transformer or foundation-model approaches suited to the problem.
• Prepare training and evaluation data, including preprocessing, feature or representation engineering and dataset versioning.
• Run controlled experiments, tune models and evaluate accuracy, robustness, generalisation and computational efficiency.
• Package model-backed capabilities as maintainable services, APIs, libraries or platform components.
• Build or contribute to CI/CD and MLOps pipelines for testing, registration, release and environment promotion.
• Deploy and monitor AI workloads, responding to drift, latency, failures, resource constraints and cost concerns.
• Embed security, responsible AI, traceability and clear technical documentation throughout the model lifecycle.
• Research emerging methods and adopt them only where benchmarking demonstrates meaningful value.

Skills

Python

Software engineering

REST APIs

SQL

PyTorch

TensorFlow

scikit-learn

Git

Docker

CI/CD

Education

Bachelor's degree in Computer Science or related field

Honours or Master's degree (desirable)

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Git

Kubernetes

REST APIs

Job description

Agile Bridge is seeking an AI Engineer to turn promising models into secure, scalable AI capabilities. You will design architectures, train and evaluate models, and integrate them into software systems while improving production performance.

Collaborate with data scientists, software engineers and platform teams; focus on production readiness, data quality, latency, security and responsible AI. Expect to build maintainable services, CI/CD pipelines, and monitor AI workloads.