Automation Engineer

JVR Software; Johannesburg; On-site; ZAR 700,000 - 900,000; Full time

Job summary

JVR Software is seeking an AI Platform Engineer to design, build, and maintain automation solutions that map business processes into scalable technical workflows. You will work with Sales, HR, Finance, and other departments to identify automation opportunities and translate problems into safe, cost-effective AI-enabled solutions.

The role requires 3–5 years in software automation, strong Python skills plus a typed language, API integrations, containerisation, CI/CD, and a solid grounding in data

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 3–5 years’ experience in software development, automation, or data engineering with production delivery.
• Practical experience building AI/LLM-based applications (retrieval-augmented generation, agent workflows, automation pipelines).
• Proficiency in Python plus one typed language (e.g., Java, TypeScript, C#).
• Experience integrating with ERP/CRM/ticketing/document management via APIs.
• Working knowledge of containerisation, version control, CI/CD, and monitoring.
• Familiarity with Agile, Scrum, and DevOps practices.
• Ability to engage non-technical stakeholders and deliver adopted solutions.
• Exposure to Linux, containerisation, cloud or on-prem infrastructure.
• Strong understanding of data protection, access control, and information security (POPIA).
• Relevant certifications in AI/ML, cloud platforms, or software development are advantageous.

Responsibilities

• Engage independently with business departments to map processes and identify automation opportunities.
• Translate business process problems into technical solutions with scope, risk, and benefit assessments.
• Design, build, deploy, and maintain automation agents and workflows end-to-end.
• Build and maintain components of the internal AI platform (model gateway, agent runtimes, retrieval services, integrations, user access).
• Extend shared platform capabilities to reduce cost of new automations.
• Implement governance mechanisms (authorisation rules, budgets, guardrails, audit logging).
• Own operational health of platform components (monitoring, capacity, cost, incident response, root cause analysis).
• Ensure compliance with data classification, privacy, and security requirements (POPIA).
• Define and maintain evaluation/regression suites to measure solution quality.
• Contribute to technical direction by evaluating models, tools, and approaches.
• Mentor junior engineers and share knowledge through reviews and training.
• Facilitate communication between technical and non-technical stakeholders.

Skills

Bachelor’s degree related field

Software development

Automation

Data engineering

AI/LLM-based apps

Python

Typed language (Java/TS/C#)

API integrations

Containerisation

Version control

CI/CD

Monitoring

Agile/DevOps

Stakeholder communication

Linux experience

Data protection/POPIA

AI/ML certifications (advantageous)

Education

Bachelor’s degree in Computer Science, Software/Computer/Electronic Engineering, Information Systems, or related field

Certifications in AI/ML, cloud platforms, or software development advantageous

Job description

• Engage independently with business departments (Sales, HR, Finance, Technical Support, Production, Marketing) to map processes, identify inefficiencies, and maintain a pipeline of automation opportunities.
• Translate business process problems into technical solutions with scope, risk, and benefit assessments.
• Design, build, deploy, and maintain automation agents and workflows end-to-end.
• Build and maintain components of the internal AI platform (model gateway, agent runtimes, retrieval services, integrations, user access).
• Extend shared platform capabilities to reduce cost of new automations.
• Implement governance mechanisms (authorisation rules, budgets, guardrails, audit logging).
• Own operational health of platform components (monitoring, capacity, cost, incident response, root cause analysis).
• Ensure compliance with data classification, privacy, and security requirements.
• Define and maintain evaluation/regression suites to measure solution quality.
• Contribute to technical direction by evaluating models, tools, and approaches.
• Mentor junior engineers and share knowledge through reviews and training.
• Facilitate communication between technical and non-technical stakeholders.

Job Experience and Skills Required:

• Bachelor’s degree in Computer Science, Software/Computer/Electronic Engineering, Information Systems, or related field.
• 3–5 years’ experience in software development, automation, or data engineering with production delivery.
• Practical experience building AI/LLM-based applications (retrieval-augmented generation, agent workflows, automation pipelines).
• Proficiency in Python plus one typed language (Java, TypeScript, C#, etc.).
• Experience integrating with enterprise systems (ERP, CRM, ticketing, document management) via APIs.
• Working knowledge of containerisation, version control, CI/CD pipelines, and monitoring.
• Familiarity with Agile, Scrum, and DevOps practices.
• Demonstrated ability to engage non-technical stakeholders and deliver adopted solutions.
• Exposure to Linux, containerisation, cloud or on-prem infrastructure.
• Strong understanding of data protection, access control, and information security (including POPIA).
• Relevant certifications in AI/ML, cloud platforms, or software development are advantageous.