Generative AI Engineer — Data Pipelines & MLOps

SupportFinity™; Johannesburg; On-site; ZAR 900,000 - 1,700,000; Full time

Job summary

iqbusiness seeks a highly skilled AI Engineer with strong data engineering foundations to design, build, and operationalise AI solutions in modern cloud environments.

This role focuses on scalable AI systems, robust data pipelines, MLOps, and AI application development, translating AI architecture into measurable business value. You will work across Azure/AWS/GCP, implement RAG, embeddings, and vector databases while ensuring governance and cost efficiency.

Qualifications

• Degree in CS, data, or engineering.
• 3+ years consulting experience.
• GenAI experience with 1–2 years.
• 7+ years in data/engineering.
• Experience deploying AI/ML and data pipelines.

Responsibilities

• Build and deploy ML models and Generative AI applications.
• Design and maintain data pipelines for ML workloads.
• Develop RAG pipelines including embeddings and indexing.
• Implement CI/CD for ML/AI and scalable inference.
• Engage stakeholders and translate requirements into solutions.

Skills

AI/ML eng

GenAI/LLM

RAG pipelines

Data pipelines

MLOps

Cloud platforms

CI/CD

Stakeholder mgmt

Business value

Communication

Knowledge graphs

Azure/AWS/GCP

Education

CS/Data/Engineering degree

Tools

Azure ML

AWS SageMaker

Containerisation

IaC

Vector DBs

Embeddings

Job description

iqbusiness seeks a highly skilled AI Engineer with strong data engineering foundations to design, build, and operationalise AI solutions in modern cloud environments.

This role focuses on scalable AI systems, robust data pipelines, MLOps, and AI application development, translating AI architecture into measurable business value. You will work across Azure/AWS/GCP, implement RAG, embeddings, and vector databases while ensuring governance and cost efficiency.