Intermediate AI Automation Engineer

Recruiter:

Network Recruitment

Job Ref:

ITE008038/Danni

Date posted:

Wednesday, September 9, 2026

Location:

Johannesburg, South Africa

SUMMARY:

A technology-focused organisation is seeking a talented Intermediate AI Automation Engineer to join its growing engineering team. This is a remote position.

This is an exciting opportunity for an experienced software or automation engineer who enjoys combining technical expertise with business engagement. You will work directly with stakeholders across multiple business functions to identify inefficiencies, design intelligent automation solutions, and deliver measurable operational improvements through AI-powered technologies.
The successful candidate will own automation initiatives from discovery through to deployment and adoption, while contributing to the ongoing development and operation of a sophisticated internal AI platform that supports enterprise-wide automation.

About the Role
As an Intermediate Automation Engineer, you will serve as the bridge between business challenges and technical solutions. You will engage directly with departments across the organisation to understand processes, identify improvement opportunities, and implement AI-enabled solutions that deliver tangible value.
Working with a high-performing engineering team, you will help shape the future of the organisation's automation capabilities while contributing to the development of scalable, secure, and governed AI infrastructure.

POSITION INFO:
Key Responsibilities Partner with departments including Sales, Human Resources, Finance, Technical Support, Production, and Marketing to analyse business processes and identify automation opportunities. Quantify inefficiencies and develop prioritised pipelines of potential automation initiatives. Design, develop, deploy, and maintain end-to-end automation solutions throughout their lifecycle. Build and support AI-powered workflows, agent-based solutions, and intelligent process automation capabilities. Contribute to the development and maintenance of core AI platform components, including: Model gateways Agent runtimes Retrieval and knowledge services Integration layers User-facing platforms Develop reusable platform capabilities to enable scalable delivery across business functions. Implement governance controls, evaluation frameworks, monitoring, audit logging, and security standards. Maintain the operational health, performance, availability, and cost efficiency of assigned platform components. Ensure compliance with data protection, privacy, and information security requirements. Develop and maintain regression and evaluation suites to measure solution quality and business impact. Deliver user enablement activities, including training, demonstrations, documentation, and adoption support. Participate in technology evaluations and contribute to technical roadmap discussions. Mentor junior engineers through code reviews, coaching, and knowledge-sharing initiatives. Produce and maintain clear technical documentation and operational procedures. Minimum Requirements Bachelor's Degree in: Computer Science Software Engineering Computer Engineering Information Systems Electronic Engineering Or a related technical field Minimum 3 to 5 years' experience in software development, automation, data engineering, or a related discipline. Proven experience delivering production-ready solutions that are actively used within a business environment. Hands-on experience building AI or Large Language Model (LLM)-based applications. Experience with: Retrieval-Augmented Generation (RAG) Agent-based workflows Automation pipelines Strong Python development skills. Proficiency in at least one additional programming language such as: Java TypeScript C# Experience integrating with enterprise platforms such as ERP, CRM, ticketing, or document management systems using APIs. Working knowledge of: Git and version control systems CI\/CD pipelines Containerisation technologies Production monitoring tools Understanding of Agile, Scrum, and DevOps practices. Experience engaging directly with business stakeholders and translating requirements into adopted solutions. Knowledge of data protection, information security, and access control principles. Technical Expertise AI & Automation AI application development and orchestration. Agent engineering and workflow design. Retrieval-augmented generation (RAG) solutions. Large language model integration and evaluation. Automation lifecycle management. Platform Engineering Containerised application deployment and operations. Infrastructure and platform monitoring. Performance optimisation and troubleshooting. Scalable AI platform architecture. Systems Integration API development and integration. ERP, CRM, document management, and enterprise platform connectivity. Secure and governed system interactions. Advantageous Experience Exposure to technologies such as: LangGraph LiteLLM Qdrant pgvector Langfuse n8n Temporal Docker Kubernetes vLLM Apply today!or equivalent modern AI and automation toolchains.

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