Software Implementation Engineer

University of Fort Hare; Cape Town; On-site; ZAR 350,000 - 520,000; Full time

Job summary

University of Fort Hare seeks a Software Implementation Engineer to design autonomous AI workflows and architect integrations with enterprise systems. You will work across stakeholders to translate business needs into scalable AI solutions and ensure reliable, ROI-driven automation.

The role emphasizes hands-on engineering, real-time data sync, and a consultative approach to delivering measurable outcomes within an in-person team environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience working with AI agents and LLM orchestration.
• Understanding of Retrieval-Augmented Generation (RAG) and voice-based AI systems.
• Strong proficiency in REST APIs and webhook-based architectures.
• Ability to map, process, and transform data using Python and Excel.
• Experience integrating with CRM and messaging platform APIs.

Responsibilities

• Design and build multi-step, autonomous AI workflows.
• Enable AI agents to manage full customer journeys such as lead qualification, follow-ups, and complex query handling.
• Lead integrations with critical platforms such as CRMs (e.g., Salesforce, HubSpot), payment gateways, and communication APIs.
• Architect seamless connections between AI systems and enterprise tools.
• Develop and orchestrate workflows using webhooks and triggers.
• Ensure real-time data synchronisation across systems and AI agents.
• Collaborate with stakeholders across all levels, from technical teams to executives.
• Translate business needs into scalable technical solutions.
• Build and execute testing frameworks to ensure stability and accuracy.
• Design systems that handle edge cases and incorporate human-in-the-loop processes where required.
• Monitor and optimise deployed solutions.
• Use data-driven insights to demonstrate impact and continuously improve performance.

Skills

AI agents orchestration

LLM orchestration

REST APIs

Webhook architectures

Python

Excel

CRM APIs

Education

Bachelor’s degree in Computer Science or Engineering

Tools

OpenAI

Google Gemini

ElevenLabs

n8n

Job description

Monthly Cost To Company (Market related)

About the Role

We are operating at the cutting edge of Artificial Intelligence and Enterprise Architecture—shaping how modern businesses run through autonomous AI systems. As a Software Implementation Engineer, you will play a key role in building and deploying intelligent AI agents that function as a digital workforce for enterprise clients. This is not a traditional support or maintenance role. It is a high-impact, hands‑on engineering and consultative position where you will design systems that don’t just respond—but act. From triggering workflows to integrating with core business platforms, your work will directly drive efficiency, automation, and measurable ROI.

Agentic Workflow Design

• Design and build multi-step, autonomous AI workflows
• Enable AI agents to manage full customer journeys such as lead qualification, follow‑ups, and complex query handling

Enterprise Systems Integration

• Lead integrations with critical platforms such as CRMs (e.g., Salesforce, HubSpot), payment gateways, and communication APIs
• Architect seamless connections between AI systems and enterprise tools

Event-Driven Automation

• Develop and orchestrate workflows using webhooks and triggers
• Ensure real‑time data synchronisation across systems and AI agents

Consultative Scoping

• Collaborate with stakeholders across all levels, from technical teams to executives
• Translate business needs into scalable technical solutions

Testing & Reliability

• Build and execute testing frameworks to ensure stability and accuracy
• Design systems that handle edge cases and incorporate human‑in‑the‑loop processes where required

Performance & ROI Tracking

• Monitor and optimise deployed solutions
• Use data‑driven insights to demonstrate impact and continuously improve performance

Requirements

Technical Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience working with AI agents and LLM orchestration
• Understanding of Retrieval-Augmented Generation (RAG) and voice‑based AI systems
• Strong proficiency in REST APIs and webhook‑based architectures
• Ability to map, process, and transform data using tools such as Python and Excel
• Experience integrating with CRM and messaging platform APIs

Professional Attributes

• Strong communication skills with the ability to simplify complex technical concepts
• High attention to detail and structured problem‑solving approach
• Self‑driven with a strong focus on delivering measurable results
• A builder mindset with a passion for creating impactful solutions

Tools & Technologies

You’ll work with a modern AI and automation stack, including:

• AI Models: OpenAI, Google Gemini, ElevenLabs
• Orchestration: n8n, serverless functions (GCP, Cloudflare)
• Infrastructure: Serverless cloud environments, vector databases, and event‑driven systems
• Agent Platforms: Nineteen58 Agent Platform

Culture & Environment

• Join a fast‑growing, high‑impact team at the forefront of AI innovation
• Work in a collaborative, in‑person environment that prioritises speed and creativity
• Gain exposure to enterprise‑level projects and cutting‑edge technologies
• Enjoy a merit‑driven culture where growth is directly linked to performance and impact
• Limited hybrid flexibility available for high‑performing team members

Please note that only suitable candidates will be contacted.