Intermediate Automation Engineer

Network Finance; Randburg; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Network Finance is seeking an experienced AI & Automation Platform Engineer to partner with Sales, HR, Finance, Technical Support, Production, and Marketing to build scalable automation solutions in Randburg. You will design, deploy, and continuously improve AI agents and workflows, owning solutions through their lifecycle.

You will develop core components of an internal AI platform, including model routing, agent runtimes, knowledge services, integrations, and user access layers, while

Qualifications

• Bachelor degree in CS/engineering or related field.
• 3–5 years in software development, automation, or data engineering.
• Experience building AI or LLM-based applications, including retrieval-augmented generation.
• Proficiency in Python and another typed language (Java/TS/C#).
• Experience integrating with ERP/CRM via APIs and CI/CD pipelines.

Responsibilities

• Partner with departments to identify inefficiencies and prioritise automation.
• Translate requirements into AI and automation solutions with scope and risk assessments.
• Design, build, deploy, and improve automation agents and workflows.
• Develop core components of the internal AI platform and ensure governance.
• Monitor platform operations, performance, costs, and incidents.
• Mentor junior engineers and promote knowledge sharing.
• Maintain technical documentation covering architecture and procedures.

Skills

Software Development

Automation

Data Engineering

AI applications

Education

Bachelor Degree in Computer Science / Engineering

Tools

Python

Java

TypeScript

C#

ERP APIs

CI/CD

Docker

Agile/Scrum

Job description

Key Responsibilities:

• Partner with departments such as Sales, HR, Finance, Technical Support, Production, and Marketing to identify inefficiencies and maintain a prioritised automation pipeline.
• Analyse business processes and translate requirements into well-defined AI and automation solutions, including scope, risk, data, and benefit assessments.
• Design, build, deploy, and continuously improve automation agents and workflows, owning solutions throughout their lifecycle.
• Develop and maintain core components of the internal AI platform, including model routing, agent runtimes, knowledge services, integrations, and user access layers.
• Build reusable platform capabilities that enable scalable, cost-effective automation across the business.
• Implement governance controls, including authorisation, guardrails, audit logging, budgets, and performance evaluation frameworks.
• Monitor and support platform operations, managing performance, capacity, costs, incidents, and root cause resolution.
• Ensure compliance with data privacy, security, and information classification requirements.
• Define and maintain testing, evaluation, and regression frameworks to measure solution quality and drive continuous improvement.
• Lead adoption activities through training, demonstrations, documentation, and post-deployment support.
• Evaluate emerging AI technologies and contribute recommendations for platform enhancements and future direction.
• Mentor junior engineers, conduct technical reviews, and promote knowledge sharing across the team.
• Maintain clear technical documentation covering architecture, integrations, solutions, and operational procedures.
• Act as a bridge between technical and business stakeholders, ensuring mutual understanding of requirements, constraints, and objectives.

Job Experience and skill required

• Bachelor Degree in Computer Science, Software Engineer, Computer Engineer, Information Systems, Electronic Engineering or related
• Min 3 - 5 years experience in Software Development, Automation, Data Engineering or related
• Practical experience building artificial intelligence or LLM based applications, including retrieval-augmented generation, agent workflows or automation pipeline
• Proficiency in Python and at least one additional typed programming language (Java, Typescript, C# or similar
• Experience integrating with enterprise systems such as ERP (SAP), CRM, ticketing or document management platforms through APIs
• Working knowledge of containerisation, version control, CI/CD pipelines and monitoring in a production environment, software methodology (Agile, Scrum, DevOps)