AI Engineer; Technology​/Mining

Our client is a growing technology company that revolutionises mining logistics across South Africa. Their platform connects mines and hauliers, automating vehicle tracking, order management and weighbridge operations using NFC technology and IoT devices integrated with AWS Cloud.

Our client is seeking an AI Engineer to develop and deploy AI-powered models, chatbot interactions and intelligent automation solutions that transform mining operations across South Africa. You'll focus on large language models (LLMs), vector search, AI-driven verification and scalable AI deployment to improve security, process automation and decision‑making in real‑world industrial environments.

Their core values include Focus on the Mission, Respect, Excellence, Integrity and working as One Team.

Job Type: Permanent, Full-time

Workplace: Hybrid / Remote

Location: Lonehill, Sandton, South Africa

• Strong experience with LLMs and NLP including GPT-4, OpenAI API, and fine‑tuning transformer models
• Proficiency with vector databases such as Pinecone and Postgre
  
  SQL pgvector
• Experience with Retrieval‑Augmented Generation (RAG) for AI‑powered knowledge retrieval and document search
• Hands‑on experience with chatbot development including AI‑powered integrations for Whats App, web and API‑based automation
• Strong computer vision skills using OpenCV, PyTorch, Tensor Flow for facial recognition and image analysis
• Experience with AI API development and deploying AI services using FastAPI, Flask or GraphQL
• Knowledge of cloud and edge AI deployment on AWS and on‑premise devices
• Proficiency with Docker for packaging and deploying AI models in scalable environments
• Strong problem‑solving skills and ability to build innovative AI solutions for real‑world applications
• Excellent communication skills and ability to collaborate effectively with cross‑functional teams
• Ability to work independently and take ownership of AI challenges in industrial environments

• Experience with AI workflow automation tools such as n8n, Lang Chain, Auto Gen
• Knowledge of AI task automation including Whats App AI agents and business process automation
• Experience with business process AI integration for form processing and decision‑making automation
• Familiarity with AI workflow deployment and task orchestration pipelines
• Experience with AWS IoT Green grass for deploying AI models at edge locations with intermittent connectivity
• Experience in the mining or industrial sector
• Familiarity with Agile development methodologies

• Technical Variety :
  Work across diverse AI technologies including LLMs, computer vision, and edge computing, providing exposure to cutting‑edge AI applications
• Real‑World Impact :
  Build AI solutions that directly affect mining operations, with immediate visibility of how your AI models perform in industrial environments
• Growth Environment :
  Join a rapidly expanding company entering new markets (Namibia and Botswana), with opportunities to shape AI development practices
• Complex Problem Solving :
  Navigate multi‑site environments where AI must operate with intermittent connectivity and integrate with existing hardware systems
• Innovation Leadership :
  Opportunity to grow into a Lead AI Engineer role as AI adoption expands across mining operations

• Be passionate about AI development and continuously self‑learn through tutorials, courses and personal projects outside of work hours
• Take initiative in problem‑solving, building innovative AI solutions for complex industrial challenges
• Embrace collaboration and knowledge sharing, contributing to our client’s collective technical growth
• Stay updated on AI trends, LLM advancements and automation best practices
• Be willing to share in team responsibilities, including occasional after‑hours support when needed
• Adapt positively to changing priorities and evolving project requirements
• View AI development as more than just a day job, continuously evolving your skills and expertise

This is a full‑time, on‑site position based in our client’s Lonehill, Sandton office. Core hours of 8 : 00 AM to 3 : 00 PM apply for all team members.…