Software Implementation Engineer (AI & Agentic Workflows)

SUMMARY:
DBN000213 - 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:

1. Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.  
2. The Agentic Stack: Practical experience with LLM orchestration for AI Agents and an understanding of RAG (Retrieval-Augmented Generation) and Voice Agents.  
3. Deep proficiency in RESTful APIs and Webhook architectures. You should be comfortable architecting how systems integrate.
4. Strong ability to process, map, and transform data between disparate enterprise schemas using Excel and Python.
5. Hands-on experience with the API ecosystems of major CRMs and messaging platforms.

POSITION INFO:

Required Technical Competencies & Ability:

1. 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.
2. Enterprise Systems Integration: Oversee technical integrations with platforms that are essential to the purpose, such as payment gateways, CRMs (Salesforce, HubSpot), and communication APIs (WhatsApp, SendGrid).
3. 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.
4. Consultative Scoping: Partner with client stakeholders (from technical leads to C-suite executives) to translate business objectives into robust technical requirements.
5. 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.
6. ROI & Performance Analytics: Monitor post-launch metrics to ensure continuous improvement and demonstrate clear project value through data-driven reporting.

1. Exceptional Communication:
2. The ability to distill complex AI concepts into actionable insights for non-technical stakeholders.
3. High Focus & Discipline
4. Results-Driven