Software Implementation Engineer (AI and Agentic Workflows) – Durban (Hybrid)
Durban - South Africa
Job Summary
Software Implementation Engineer (AI and Agentic Workflows) Durban (Hybrid)
Our client is seeking a meticulous and result-driven Software Implementation Engineer to join their team in this high-impact engineering and consultative position.
Our client is seeking a meticulous and result-driven Software Implementation Engineer to join their team in this high-impact engineering and consultative position.
Responsibilities:
- Agentic Architecture: Design and deploy multi-step autonomous workflows using modern orchestration frameworks (e.g. LangGraph CrewAI or PydanticAI) to manage end-to-end customer journeys
- Enterprise Systems Integration: Lead deep-level integrations with CRMs (Salesforce HubSpot) and communication APIs (WhatsApp SendGrid). You will be responsible for defining the Tools and Functions that agents use to interact with the real world
- Event-Driven Automation: Build and orchestrate AI agents utilising Webhooks and Triggers to ensure near real-time data synchronisation between LLM outputs and client databases
- Agentic Evaluation (Evals) & 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 (HITL) handoffs
- Consultative Scoping: Partner with client stakeholdersfrom technical leads to C-suite executivesto translate vague business objectives into robust scalable technical requirements
- Performance & ROI Analytics: Monitor post-launch observability metrics (latency token cost task completion rates) to demonstrate clear business value through data-driven reporting
Requirements
- The Agentic Stack: Deep practical experience with LLM Orchestration RAG (Retrieval-Augmented Generation) and Function Calling. You understand the difference between a simple chain and a cyclic reasoning-based agent
- Integration Mastery: Expert proficiency in RESTful APIs Webhook architectures and managing asynchronous data flows
- Data Literacy: Strong ability to process map and transform disparate enterprise schemas using Python and the pragmatic use of Excel for data cleaning
- Technical Diplomacy: Exceptional communication skills. You can explain probabilistic outputs to a non-technical stakeholder without losing their trust
- Operational Discipline: High focus and the ability to manage complex implementation timelines in a fast-paced remote environment
Due to the high volume of applications received only suitable candidates who meet the criteria of this vacancy will be contacted.
Required Experience:
Unclear Seniority
About Company
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