Junior AI Engineer

Network Finance; Randburg; On-site; ZAR 300,000 - 480,000; Full time

Job summary

Network Finance in Randburg, South Africa, seeks a junior Automation Engineer to map processes across departments and identify AI-driven improvements. You will build automation workflows on the internal AI platform, collaborating with IT, Sales, HR, Finance and Production.

You will develop with Python, explore AI/LLM APIs, and implement ERP/CRM integrations. A Bachelor’s degree in CS or related field and 0–2 years of experience are required; training is provided.

Qualifications

• Bachelor's degree in a computer science or related field.
• 0–2 years’ experience in software development, automation, data engineering or related discipline (academic, internship or project work considered).
• Proficiency in Python and at least one AI/LLM framework or API.
• Working knowledge of version control, relational databases and web APIs.

Responsibilities

• Observe, document and map business processes with departments.
• Identify AI/automation opportunities to reduce manual effort, cycle time or errors.
• Build, test and deploy automation agents and workflows on the internal AI platform.
• Maintain platform components and integrate with ERP/CRM/ticketing systems.
• Monitor usage, cost and performance; escalate incidents as needed.
• Prepare evaluation and regression test sets for deployed automations.
• Ensure data classification, access control, privacy and audit compliance.

Skills

Python

AI/LLM frameworks

version control

relational databases

web APIs

Education

Bachelor’s degree in Computer Science or related field

Tools

ERP

CRM

Job description

Key Responsibilities

• Work alongside business departments (Sales, HR, Finance, Technical Support, Production, Marketing) to observe, document and map processes.
• Assist in identifying and prioritising opportunities where AI and automation can reduce manual effort, cycle time or error rates.
• Build, test and deploy automation agents and workflows on the internal AI platform.
• Contribute to the development and maintenance of platform components including model gateway, agent run times, retrieval services, tool integrations and user access surfaces.
• Implement and maintain integrations between the AI platform and business systems (ERP, CRM, ticketing, knowledge sources).
• Monitor platform usage, cost and performance; resolve routine issues and elevate incidents as required.
• Prepare and maintain evaluation and regression test sets for deployed automations.
• Apply data classification, access control, privacy and audit requirements to all automation solutions.
• Document processes, solutions and design decisions for knowledge retention.
• Provide first-line support and guidance to departmental users of deployed automations.
• Participate in code reviews, design discussions and knowledge-sharing sessions.
• Stay updated on developments in AI models, tooling and automation practices.
• Communicate progress, risks and blockers clearly to managers and stakeholders.

Job Experience and Skills Required

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Electronic Engineering or related field
• 0–2 years’ experience in software development, automation, data engineering or related discipline (academic, internship or project work considered)
• Practical exposure to Python and at least one AI/LLM framework or API
• Working knowledge of version control, relational databases and web APIs