Ai Engineer (Entry) 1071

Opensource Intelligent Solutions

Pretoria

On-site

ZAR 350,000 - 550,000

Full time

2 days ago
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Job summary

Opensource Intelligent Solutions seeks an AI Engineer to design and build AI solutions in an enterprise setting, leveraging LLMs, AI Agents, and RAG techniques.

You will work with tools like Microsoft Copilot, LangGraph, Semantic Kernel, and Azure AI in collaboration with SAP, ServiceNow, Teams, and SharePoint to deliver scalable AI applications.

Qualifications

  • Master's Degree or higher in Computer Science, Engineering, Statistics, Artificial Intelligence, or a related field
  • Practical experience with LLMs, NLP, Generative AI, or Applied Machine Learning

Responsibilities

  • Help design, build, and integrate AI solutions powered by LLMs, AI Agents, and Retrieval-Augmented Generation (RAG)
  • Work in enterprise environments using cutting-edge technologies
  • Collaborate across teams to implement AI solutions and maintain code quality

Skills

LLMs & Prompting
RAG architectures
Git & DevOps
Analytical skills
Communication

Education

Master's degree in CS/Engineering/AI

Tools

Microsoft Copilot
LangGraph
Semantic Kernel
Azure AI
SAP
ServiceNow
Teams
SharePoint

Job description

Ready to build AI solutions that solve real business challenges?
We're looking for an ambitious AI Engineer to join a leading enterprise environment and help design, build, and integrate next-generation AI solutions powered by Large Language Models, AI Agents, and Retrieval-Augmented Generation (RAG).
This is an exciting opportunity to work with cutting-edge technologies including Microsoft Copilot, LangGraph, Semantic Kernel, Azure AI, SAP, ServiceNow, Teams, and SharePoint.

  • 2-4 years of experience in Software Development, AI, Machine
  • Learning, or Data Engineering
  • Understanding of Large Language Models (LLMs) and Prompt Engineering
  • Knowledge of RAG architectures and enterprise AI applications
  • Experience using Git and modern development practices
  • Excellent analytical, communication, and problem-solving skills
Qualifications
  • Master's Degree or higher in Computer Science, Engineering, Statistics, Artificial Intelligence, or a related field
  • Practical experience through projects, internships, research, or commercial work involving LLMs, NLP, Generative AI, or Applied Machine Learning
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