AI Engineer

Reverside; Johannesburg; On-site; ZAR 1,200,000 - 1,900,000; Full time

Job summary

Reverside in Johannesburg is seeking an experienced AI Engineer to design, build, deploy and maintain enterprise AI/ML solutions across diverse industries. The role emphasizes AI engineering, MLOps/LLMOps, Databricks, and scalable AI architectures from data prep to deployment and governance.

The ideal candidate will lead end-to-end AI product lifecycles, collaborate with cross-functional stakeholders, and guide data teams in a fast-paced environment.

Qualifications

• 7–10 years' AI/ML engineering experience.
• Proficiency in Python and SQL.
• Experience with Databricks and MLflow.
• Hands-on with MLOps and LLMOps.
• Strong ML feature engineering background.
• Experience with RAG and LLM applications.
• Familiarity with LangChain and AI agents.
• Expertise in prompt engineering and vector search.
• Experience with model serving & deployment.
• Knowledge of AI monitoring and governance.

Responsibilities

• Design and develop scalable AI/ML and LLM solutions.
• Build MLOps and LLMOps pipelines using Databricks, MLflow, Delta Lake, and Spark.
• Develop and deploy ML models and AI applications in production.
• Build RAG, LLM, agentic, and multi-modal AI solutions.
• Develop data pipelines, feature engineering, model-serving and inference.
• Implement CI/CD, monitoring, governance, security and responsible AI practices.
• Develop prompts, agents, tools, chains and AI workflows with guardrails.
• Build and optimise vector search and retrieval solutions.
• Collaborate with data engineering, data science and business stakeholders.
• Provide technical leadership and mentoring to AI and data teams.

Skills

AI/ML engineering

Python

SQL

Databricks

MLflow

MLOps

LLMOps

RAG & LLM applications

LangChain

Prompt engineering

Vector search

Model serving

AI governance

Education

Honours/Masters/PhD in Data Science/Statistics/CS/Engineering/Mathematics

Tools

Databricks

MLflow

Delta Lake

Spark

Unity Catalog

Job description

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