Learning Systems Engineer: AI Learning Platform QA

peopleworth; Cape Town; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Collaborative, people-centered perfomm

Opportunities to grow in a fast-paced

Meaningful work supporting dependable

Job summary

peopleworth is seeking a Learning Systems Engineer to safeguard the technical integrity of an AI engineering learning programme. This hands-on role focuses on verifying, maintaining and supporting the technical systems through which learning is built and delivered.

You will work with Learning Experience Designers and developers to ensure reproducible environments, test integrations, and provide front-line support during live sessions while promoting responsible use of AI tools.

Qualifications

• Demonstrated experience in software testing, quality assurance or related engineering role.
• Strong ability to read, run, test and debug code written by other developers.
• Proficiency with Python and confident troubleshooting dependency, configuration and runtime issues.
• Practical understanding of AI patterns, including LLM APIs and agent-based workflows.
• Familiarity with Git-based development workflows, repository management and CI/CD practices.
• Experience configuring and troubleshooting developer environments, APIs, databases and system integrations.
• Strong systems-thinking with ability to identify dependencies, risks and failure modes across a technical toolchain.
• Experience using AI-assisted development tools and supporting non-technical colleagues in adopting them.
• Clear, patient communication and ability to support learners during live delivery.
• Calm, responsive approach to resolving technical issues under pressure.

Responsibilities

• Verify that code, activities and model solutions run end-to-end in the target environment before content review.
• Test integrations between learning storyboards, code, repositories, learner environments and Canvas LMS.
• Identify gaps and failure points where learning content, code and platform components connect.
• Set up and maintain learner repositories, environment configurations and developer tooling across cohorts.
• Ensure learner environments remain stable, reproducible and version-controlled during development and live delivery.
• Define technical acceptance criteria for external contributors and review outputs against those standards.
• Provide front-line technical support to learners during live delivery, diagnosing issues in real time.
• Respond rapidly to incidents during delivery windows to minimise disruption.
• Coach Learning Experience Designers to use Git and AI-assisted workflows confidently.
• Build lightweight automations and AI-assisted routines to reduce repetitive testing and build actions.
• Contribute technical input into decisions about portfolio publishing and development environments.

Skills

Software testing

Code debugging

Technical communication

Learner support

Tools

Python

Git-based workflows

APIs

PostgreSQL

CI/CD

Render

Google Cloud Run

GitLab CI/CD

LLM APIs

Claude

Canvas LMS

Job description

peopleworth is seeking a Learning Systems Engineer to safeguard the technical integrity of an AI engineering learning programme. This hands-on role focuses on verifying, maintaining and supporting the technical systems through which learning is built and delivered.

You will work with Learning Experience Designers and developers to ensure reproducible environments, test integrations, and provide front-line support during live sessions while promoting responsible use of AI tools.