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AI Engineer

Software Implementation Engineer; AI & Agentic Workflows

Job in Pretoria, 0002, South Africa
Listing for: HC Recruit
Full Time position
Listed on 2026-01-14
Job specializations:
  • Software Development
    AI Engineer
Job Description & How to Apply Below
Position: Software Implementation Engineer (AI & Agentic Workflows)

DBN
000213 - Software Implementation Engineer (AI & Agentic Workflows) - Pretoria

Purpose of the Job:
To lead the way in the "Agentic Era." Your goal is to design, implement, and optimize self-sufficient AI agents that serve as our enterprise clients' digital workforce.

Required Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • The Agentic Stack: Practical experience with LLM orchestration for AI Agents and an understanding of RAG (Retrieval-Augmented Generation) and Voice Agents.
  • Deep proficiency in RESTful APIs and Webhook architectures. You should be comfortable architecting how systems integrate.
  • Strong ability to process, map, and transform data between disparate enterprise schemas using Excel and Python.
  • Hands-on experience with the API ecosystems of major CRMs and messaging platforms.
    • Required Technical Competencies & Ability:
  • Agentic Workflow Design:
    Create multi-step autonomous behaviors (such as automated follow-ups, lead qualifying, and complex inquiry resolution) where AI agents oversee complete client journeys.
  • Enterprise Systems Integration:
    Oversee technical integrations with platforms that are essential to the purpose, such as payment gateways, CRMs (Salesforce, Hub Spot), and communication APIs (Whats App, Send Grid).
  • Event-Driven Automation:
    Create and manage AI agents, making use of Webhooks and Triggers to provide real-time data synchronization between client databases and AI agents.
  • Consultative Scoping:
    Partner with client stakeholders (from technical leads to C-suite executives) to translate business objectives into robust technical requirements.
  • Testing & Reliability:
    Design rigorous testing protocols to ensure AI agents operate within enterprise guardrails, handling edge cases with high confidence and seamless "human-in-the-loop" handoffs.
  • ROI & Performance Analytics:
    Monitor post-launch metrics to ensure continuous improvement and demonstrate clear project value through data-driven reporting.
    • Behavioral Competencies:
  • Exceptional Communication:
  • The ability to distill complex AI concepts into actionable insights for non-technical stakeholders.
  • High Focus & Discipline
  • Results-Driven
    • PLEASE NOTE:
    Should you not hear back from us within the next 2 weeks, please consider your application as unsuccessful.
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