AI Engineer (JHB Hybrid)

ENVIRONMENT

JOIN an applied-AI work on a structured, mentored pathway, rotating through the data engineering that feeds it as the next AI Engineer wanted by a provider of tailored Financial Solutions. You will prepare trusted data for AI workloads, help run an in-house governed AI platform, and test AI-assisted use cases under supervision and strictly inside policy. This is an engineering-and-governance internship, not a research post, and you will not be training bespoke models. What you will learn is how AI gets used safely and usefully on real, sensitive data in a regulated business. Interns who grow well here are first in line as the team expands, and the combined Data & AI Engineer role is the named destination on the team's growth path. Candidates will require foundational Python, whether from coursework, projects, or self-teaching, but you must be able to read, run, and modify a script & a basic understanding of SQL and relational data concepts.

DUTIES

·        Prepare, clean, validate, and document the datasets that AI and search workloads consume.

·        Support the in-house governed AI platform: content ingestion, indexing, configuration, and routine health checks under supervision.

·        Test and evaluate AI-assisted use cases such as summarisation, classification, search, extraction, and automation against defined success criteria.

·        Write small Python scripts and notebooks to automate repetitive data preparation and evaluation tasks.

·        Record evaluation evidence: what was tested, what the AI produced, what a human reviewer changed, and why.

·        Apply data-minimisation and anonymisation rules without exception, which means no personal information, credentials, or production data goes into unapproved tools.

·        Contribute to documentation: use-case write-ups, prompt and configuration notes, data dictionaries, and testing evidence.

·        Learn the company governance, security, privacy, and change management standards from day one.

·        Attend team ceremonies and give clear, honest progress updates on assigned tasks.

What you’ll work with –

·        A governed in-house AI platform, where you will learn to use AI tools properly, with controls, from week one.

·        Python, notebooks, and Git, giving you modern engineering habits from the start.

·        SQL Server and Microsoft Fabric, the governed data estate that feeds every AI use case.

·        Power BI, which is how results reach the business.

·        Evaluation and human-review workflows, which are how we decide whether an AI output is good enough to use.

REQUIREMENTS

·        Foundational Python, whether from coursework, projects, or self-teaching, but you must be able to read, run, and modify a script.

·        Basic understanding of SQL and relational data concepts.

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