AI Engineer

Johannesburg, South Africa | Posted on 07/29/2026

Reverside is an established IT services provider deliveringhigh-quality Software Development, IT Resourcing, Digital Transformation, and Systems Support solutions. We are always looking for skilled professionals tojoin our growing team and contribute to innovative technology projects acrossvarious industries. We are seeking an experienced AI Engineer to design, build,deploy, and maintain enterprise AI and machine-learning solutions.

The role focuses on AI Engineering, MLOps, LLMOps, Databricks, cloud platforms, and scalable AI architectures, covering the fullAI product lifecycle from data preparation and model development through todeployment, monitoring, governance, and optimisation.

Key Responsibilities:

• Design and develop scalable AI/ML and LLM solutions.
  
• Build MLOps and LLMOps pipelines usingDatabricks, MLflow, Delta Lake, and Spark.
  
• Develop and deploy machine learning models andAI applications in production environments.
  
• Build RAG, LLM, agentic, and multi-modal AIsolutions.
  
• Develop feature engineering, data pipelines,model-serving, and inference solutions.
  
• Implement CI/CD, monitoring, governance,security, and responsible AI practices.
  
• Develop prompts, agents, tools, chains, and AIworkflows with appropriate guardrails.
  
• Build and optimise vector search and retrievalsolutions.
  
• Collaborate with Data Engineering, Data Science,business, and clinical stakeholders.
  
• Provide technical leadership and mentoring to AIand data teams.
  

Mandatory Skills:

• 7–10 years' AI / Machine Learning Engineering
  
• Python & SQL
  
• Databricks & MLflow
  
• MLOps & LLMOps
  
• Machine Learning & Feature Engineering
  
• RAG & LLM Applications
  
• LangChain / AI Agents
  
• Prompt Engineering
  
• Vector Search & Embeddings
  
• Model Serving & Deployment
  
• AI/ML Monitoring & Governance
  

Advantageous Skills:

• Mosaic AI
  
• Unity Catalog
  
• Healthcare / Clinical Data
  

Qualifications:

• Honours, Master's, or PhD in Data Science,Statistics, Computer Science, Engineering, Mathematics, or related field.
  
• Relevant certifications in Python, AWS,Microsoft, Machine Learning, Databricks, Big Data, or Cloud technologies.
  

Core Competencies:

• Strong analytical and problem-solving skills
  
• AI solution architecture and engineering
  
• Strong communication and stakeholder engagement
  
• Business and technical problem-solving
  
• Ability to work in Agile environments
  
• Technical leadership and mentoring
  
• Strong understanding of AI governance, security,and responsible AI