Agentic AI Engineer

ATS Client

Johannesburg

On-site

ZAR 900,000 - 1,500,000

Full time

14 days+

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Job summary

Red Ember Recruitment is seeking an experienced Agentic AI Engineer to lead the design, implementation and integration of AI solutions that transform business operations. You will embed AI into workflows, automate processes, and build enterprise integrations to boost productivity and decision making.

The role covers AI enablement, agent development, solution architecture, process automation, knowledge solutions and governance with a focus on scalable, secure production systems.

Qualifications

  • Bachelor’s degree in Computer Science, AI, Software Engineering, Information Systems, Data Engineering or Analytics.
  • Minimum 5 years’ experience implementing AI solutions in a commercial environment.
  • Experience integrating enterprise systems using APIs and micro services.
  • Ability to translate business requirements into scalable technical solutions.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Identify and implement high‑impact AI use cases across the business.
  • Drive AI adoption and embed AI into day‑to‑day business operations.
  • Support roll‑out and optimization of AI platforms and tools.
  • Design, build, and deploy AI agents and autonomous workflows.
  • Develop intelligent assistants using Large Language Models (LLMs).
  • Create multi‑agent workflows to automate complex processes.
  • Monitor and optimise AI agent performance.
  • Design scalable AI solutions and secure API integrations.

Skills

Python
C#
TypeScript
SQL
Problem solving
Analytical thinking
Stakeholder management
Communication

Education

Bachelor’s degree in Computer Science
Bachelor’s degree in Artificial Intelligence
Bachelor’s degree in Software Engineering
Bachelor’s degree in Information Systems
Bachelor’s degree in Data Engineering
Bachelor’s degree in Analytics

Tools

REST APIs
Micro services
Git
LangChain
Semantic Kernel
OpenAI APIs
Azure AI
Copilot Studio

Job description

Job Description

Red Ember Recruitment is recruiting an experienced Agentic AI Engineer for our client. This is an exciting opportunity for a highly skilled AI professional to lead the design, implementation, and integration of cutting‑edge AI solutions that drive business transformation.

The successful candidate will play a key role in embedding Artificial Intelligence into business operations by developing AI agents, intelligent workflows, automation solutions, and enterprise integrations that improve productivity, enhance decision‑making, and create measurable commercial value.

AI Enablement
  • Identify and implement high‑impact AI use cases across the business.
  • Drive AI adoption and embed AI into day‑to‑day business operations.
  • Support the roll‑out and optimisation of AI platforms and tools.
  • Facilitate AI training sessions and user adoption initiatives.
AI Agent Development
  • Design, build, and deploy AI agents and autonomous workflows.
  • Develop intelligent assistants using Large Language Models (LLMs).
  • Create multi‑agent workflows to automate complex business processes.
  • Monitor, optimise, and maintain AI agent performance.
AI Solution Architecture
  • Design scalable AI solutions aligned with business requirements.
  • Develop secure API integrations and micro services.
  • Build production‑ready AI applications and proof‑of‑concept solutions.
  • Ensure solutions follow best practices for scalability, security, and maintainability.
Process Optimisation & Automation
  • Analyse business processes and identify automation opportunities.
  • Improve workflows through AI‑driven automation.
  • Measure business improvements and operational efficiencies.
Knowledge & Data Solutions
  • Develop AI‑powered knowledge management systems.
  • Implement Retrieval‑Augmented Generation (RAG) solutions.
  • Improve access to organisational knowledge and documentation.
Commercial Intelligence
  • Develop AI‑driven sales and customer insights.
  • Support predictive analytics, forecasting, and lead scoring.
  • Integrate AI into CRM and commercial workflows.
Governance & Responsible AI
  • Ensure compliance with data privacy and AI governance standards.
  • Maintain AI documentation and governance records.
  • Promote responsible and ethical AI implementation.
Requirements
Qualifications
  • Bachelor's Degree in:
  • Computer Science.
  • Artificial Intelligence.
  • Software Engineering.
  • Information Systems.
  • Data Engineering.
  • Analytics.
Experience
  • Minimum 5 years' experience in:
  • Artificial Intelligence.
  • Software Engineering.
  • Automation.
  • Systems Integration.
  • Data Engineering.
  • Enterprise Technology.
  • Proven experience implementing AI solutions in a commercial environment.
  • Experience integrating enterprise systems using APIs and micro services.
  • Ability to translate business requirements into scalable technical solutions.
Technical Skills
Programming Languages
  • Python
  • C#
  • TypeScript
  • SQL
AI Technologies
  • Microsoft Copilot & Copilot Studio.
  • Azure AI / Azure OpenAI.
  • OpenAI APIs.
  • Claude AI.
  • Prompt Engineering.
  • Retrieval‑Augmented Generation (RAG)
  • AI Agents & Agentic Workflows.
  • Large Language Models (LLMs)
Development & Integration
  • REST APIs.
  • Micro services.
  • Git.
  • Database Design.
  • System Architecture.
  • Data Modelling.
Experience working with:
  • Microsoft 365.
  • Microsoft Graph API.
  • Power Platform.
  • CRM systems.
  • ERP systems.
  • NetSuite.
  • Workflow Automation Platforms.
  • Business Intelligence Platforms.
  • LangChain.
  • Semantic Kernel.
  • Predictive Analytics.
  • Digital Twin Modelling.
  • Process Mining.
  • SaaS platforms.
Core Competencies
  • Strong analytical and problem‑solving skills.
  • Systems thinking.
  • Commercial acumen.
  • Excellent stakeholder management.
  • Strong communication and interpersonal skills.
  • Ability to translate technical concepts for business users.
  • Strong documentation skills.
  • Innovative mindset with a passion for emerging technologies.
  • Ability to manage multiple projects in a fast‑paced environment
  • Results‑oriented with a strong focus on execution.
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