Learning Systems Engineer

peopleworth

13d

About The Position

At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group. The Learning Systems Engineer will safeguard the technical integrity of an AI Engineering learning programme, ensuring that code, integrations and learner development environments are reliable, reproducible and ready for delivery. This is a hands-on technical assurance and support role for someone who combines strong engineering discipline with patience, clear communication and a genuine interest in education. The role does not own subject-matter expertise or curriculum authorship. Its focus is to verify, maintain and support the technical systems through which learning is built and delivered.

Requirements

Demonstrated experience in software testing, technical quality assurance, code review or a closely related engineering role
Strong ability to read, run, test and debug code written by other developers
Proficiency with Python and confidence troubleshooting dependency, configuration and runtime issues
Practical understanding of AI application patterns, including large language model APIs, retrieval-augmented generation and agent-based workflows
Proficiency with Git-based development workflows, repository management and continuous integration and deployment practices
Experience configuring and troubleshooting developer environments, APIs, databases, hosting services and system integrations
Strong systems-thinking capability, with the ability to identify dependencies, risks and likely failure modes across a technical toolchain
Experience using AI-assisted development tools and the ability to support non-technical colleagues in adopting them responsibly
Clear, patient communication skills and confidence supporting learners and stakeholders during time-sensitive live delivery
A calm and responsive approach to resolving technical issues under pressure
A genuine interest in learning, education and the effective use of technology to support learner outcomes

Nice To Haves

Experience with some of the following would be valuable: GitLab, GitLab CI/CD, GitLab Duo, Claude, Claude Code, Python 3.12, uv, PostgreSQL, pgvector, Render, Google Cloud Run, Streamlit, Canvas, LLM APIs, H5P, GitLab Pages or GitHub Pages

Responsibilities

Verify that code, technical activities and model solutions run successfully from end to end in the approved target environment before progressing to formal content and academic review
Test integrations between learning storyboards, externally developed code, repositories, learner environments and the Canvas learning management system
Identify technical gaps, dependency issues and failure points where learning content, code and platform components connect
Set up and maintain learner repositories, environment configurations, API connections and supporting developer tooling across cohorts
Ensure learner environments remain stable, reproducible and appropriately version-controlled throughout development and live delivery
Define clear technical acceptance criteria for work produced by external technical contributors and review outputs against those standards
Provide front-line technical support to learners during live delivery, diagnosing and resolving environment, code and integration issues in real time
Respond rapidly to technical incidents during delivery windows so that learning sessions can continue with minimal disruption
Coach Learning Experience Designers and other non-technical colleagues to use Git, AI-assisted workflows and developer environments confidently in their day-to-day work
Build lightweight internal automations and AI-assisted routines that reduce repetitive testing, validation and build activities
Contribute practical technical input into decisions about portfolio publishing, development environments and other elements of the learning technology stack