Software Implementation Engineer (AI and Agentic Workflows)

Software Implementation Engineer (AI and Agentic Workflows)

Our client is looking for two detail-oriented, results-driven Software Implementation Engineers to join their team: one in Johannesburg and one in Ballito.

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