Software Implementation Engineer (AI and Agentic Workflows) – Durban (Hybrid) at Accountancy Placements

• 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 stakeholders—from technical leads to C-suite executives—to 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