Job Description

Our client is seeking an innovative senior AI engineer who bridges cutting-edge artificial intelligence with robust cloud platform engineering to build next-generation AI services!
Design, deploy, and optimize AI solutions using managed LLMs, RAG architectures, vector databases, and GPU-accelerated Kubernetes on Azure cloud infrastructure!
The ideal candidate is a forward-thinking platform engineer with 5+ years of DevOps experience who combines deep expertise in cloud operations (Azure, Kubernetes, Terraform) with passion for AI technologies (LangChain, LangGraph, CoPilot), excels at optimizing performance and costs, and thrives on supporting developers while pioneering AI-driven solutions on enterprise-scale platforms!
? Senior AI/Platform engineering with Azure, Kubernetes, and LLMs
? Hybrid and remote working flexibility with 1960 flexible annual hours
? Cutting-edge AI platform role with GPU orchestration and RAG systems
POSITION: Contract: 01 March 2026 - 31 December 2028
EXPERIENCE: 6-8 Years related experience
COMMENCEMENT: 01 March 2026
LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation
TEAM: AI Platform Engineering
Qualifications / Experience

• Relevant IT Degree
• 5+ years in essential skills as a Platform or DevOps Engineer

Essential Skills Requirements

• Cloud: Azure (AZ-104)
• Databases: SQL Language using PostgreSQL
• Container Orchestration: Kubernetes (CKAD)
• Infrastructure as Code: Terraform/Open Tofu
• Programming Languages: Python
• Templating Tools: Helm, Kustomize
• Operating Systems: Advanced Linux
• Version Control: Advanced Git and GitHub Enterprise
• CI/CD: Create, Manage and support Shared Workflows
• Monitoring: Grafana, Loki, Prometheus

Advantageous Skills Requirements
AI Topics:

• CoPilot, Claude Code
• MCP Model Context Protocol
• Lang Chain
• Lang Graph
• Lang Smith
• Orchestration models in Kubernetes using GPU accelerated node pools
• BMAD Method
• Vector Databases

Platform Topics:

• Fast Api
• SQL alchemy / SQL Model

Role Requirements

• Day to day cloud operations
• Design, Build and Test new cloud configurations
• Optimize Performance, Operational Excellence and Costs within our teams cloud environments
• Developer Support regarding Platform Topics
• Design, Build and Test AI services using REST and managed LLMs
• Host, Manage and Tune deployed LLMs in Kubernetes GPU Enabled node pool
• Design, Build and Test an AI RAG using vector database

NB:
South African citizens/residents preferred. Valid work permit holders will be considered. By applying, you consent to be added to the database and to receive updates until you unsubscribe. If you do not receive a response within 2 weeks, please consider your application unsuccessful.
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Skills Required