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Learning Systems Engineer

Intro

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.

Role Overview

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.

Key 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

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
  • 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

Benefits

  • Collaborative, people-centered performance culture.
  • Opportunities to grow in a fast-paced environment.
  • - Meaningful work supporting dependable and accessible learning experiences.

    Our Recruitment Process
    The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.
    1. Application Submission: Complete the online form and answer brief application questions.
    2. Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
    3. Video Interview Stage: You’ll be invited to record short responses to 3–4 role-specific questions.
    4. Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
    5. Final Shortlist & Verification: Reference and background checks are completed.
    6. Offer & Contracting: Successful candidates receive formal offers and contract documents.
    7. Pre-boarding & Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.

Throughout every stage, we value clear communication, respectful engagement, and timely feedback.

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What this application asks

workable

First name, Last name, Email, Headline, Phone, Address, Photo, WhatsApp Number (use country code starting with +), Education, Experience, Summary, Resume, Cover letter, Salary Expectations, expressed in your local currency, indicated per annum., Notice Period / Availability to take on this opportunity if you are successful., How many hours are you available to commit to a new role (keep in mind that this question does not reflect the role's capacity - please see advert for details), This process may require the submission of a short video interview, likely as a first round. This is a critically important part of our standard hiring processes., In which country do you intend to work (where you have working rights)? Note that the employer cannot provide sponsorship to any candidate who does not have working rights via residency or an appropriate visa., What are your work preferences from the list below? (Note that this does not guarantee that the employer will be able to accommodate)

  • Do you have professional experience testing, reviewing or debugging code written by other developers? Yes or No yes / no
  • Briefly describe your experience using Python in development, testing or technical support environments. written answer
  • Have you worked with Git-based repositories and CI/CD pipelines in a professional setting? Yes or No yes / no
  • Which AI application patterns have you worked with, such as LLM APIs, retrieval-augmented generation or agents? written answer
  • Have you configured or maintained reproducible developer environments for multiple users or cohorts? Yes or No yes / no
  • Briefly describe an environment, deployment or integration issue you diagnosed and resolved. written answer
  • Have you provided direct technical support to learners, customers or non-technical users during live or time-sensitive activities? Yes or No yes / no
  • Which of the listed technologies have you used professionally: GitLab, Claude Code, uv, PostgreSQL, pgvector, Render, Google Cloud Run, Streamlit, Canvas or H5P? written answer
  • Are you comfortable coaching non-technical colleagues in Git, developer environments and AI-assisted workflows? Yes or No written answer

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