AI Systems & Operations Graduate

Location: Sydney, NSW
Employment Type: Full time
Experience Level: Graduate / Early Career
Work Arrangement: Primarily office based, with attendance at selected Sydney project sites
Start Date: As soon as available

About AGC Interior

AGC Interior is a Sydney based commercial interior design and fit out company delivering workplace, retail and commercial projects across Australia.

Alongside our construction and design operations, we are developing our own internal digital platform, Dotplan, together with automation, AI assisted workflows and knowledge systems designed to improve how projects and business operations are managed.

We are looking for a high potential graduate or early career technologist who wants hands on experience working across AI, software, automation and real business operations.

About the Role

This is not a traditional graduate software development role and it is not a helpdesk position.

You will work directly with management and operational teams to understand real business problems and help turn them into practical digital solutions.

Your work may include AI assisted development, GitHub workflows, software testing, automation, workflow analysis, technical documentation, internal systems support and selected project site activities.

You will also learn how to use modern AI coding tools such as Codex, Claude Code, Cursor or equivalent tools as part of a structured engineering workflow.

We are looking for someone who is curious, technically capable and comfortable learning unfamiliar systems quickly.

What You Will Work On

You may be involved in:

Using AI coding agents to inspect repositories, understand existing systems and assist with approved development work.
Working with Git and GitHub using branches, commits, pull requests, diffs and code reviews.
Testing software changes and verifying that expected behaviour is achieved.
Reproducing bugs, investigating technical issues and documenting findings clearly.
Supporting development and improvement of Dotplan and related internal systems.
Working with automation platforms and APIs to connect business processes.
Mapping workflows across sales, project delivery, documentation and internal operations.
Identifying repetitive tasks that could be automated or simplified.
Preparing technical documentation, test evidence and handover notes.
Supporting staff with authorised internal systems when required.
Attending selected Sydney project sites to observe workflows, capture digital evidence and test mobile processes.

What We Are Looking For

You do not need to know our entire technology stack before joining.

We are more interested in your learning speed, problem solving ability and how you approach unfamiliar technical problems.

You should have:

A genuine interest in AI assisted software development and automation.
Working knowledge of Git and GitHub.
Understanding of concepts such as branches, commits, pull requests, merges and diffs.
Ability to read and make basic modifications to code.
Confidence using, or willingness to become comfortable using, a terminal.
Basic understanding of APIs, databases or structured data.
A disciplined approach to testing and verifying technical work.
Strong written and verbal English communication.
Curiosity, initiative and willingness to investigate problems independently.
Willingness to work across technology, documentation and real operational workflows.
Ability to attend our Sydney office and project sites when required.
Australian work rights suitable for full time employment.

Experience With AI Coding Tools

Experience using tools such as Codex, Claude Code, Cursor, GitHub Copilot or similar AI coding tools is highly regarded.

However, we are not simply looking for someone who can generate code using AI.

We want someone who can:

Understand the problem before making changes.
Inspect an existing codebase.
Review AI generated changes.
Understand and assess code diffs.
Test the result.
Identify errors or unexpected behaviour.
Verify that the final solution actually works.

Candidates who have not used these tools extensively may still be considered if they demonstrate strong technical fundamentals and the ability to learn quickly.

Helpful but Not Essential

Exposure to any of the following would be useful:

Computer Science, Software Engineering, IT, Information Systems, Data, Automation or a related degree.
GitHub projects or personal software projects.
Next.js or React.
TypeScript or JavaScript.
Python.
PostgreSQL or SQL.
APIs and integrations.
Vercel.
n8n or other automation platforms.
Google Workspace.
AppSheet.
Cloud platforms.
Software testing or QA.
AI or machine learning projects.

A current Australian driver licence and ability to travel to Sydney project sites would also be helpful.

A NSW White Card may be required for certain project site activities and can be obtained before relevant site access.

Mandarin language skills may assist with some internal communication but are not required.

Who This Role Would Suit

This opportunity may suit:

A recent Computer Science, Software Engineering, IT or Information Systems graduate.
A graduate who has built projects independently outside university coursework.
Someone who enjoys experimenting with AI development tools.
A junior developer who wants broader exposure than a traditional coding role.
A technically minded graduate interested in automation and business systems.
Someone who enjoys understanding how technology connects with real business operations.

You do not need several years of professional experience.

Strong personal projects, university projects, GitHub activity, internships or other evidence that you can build, learn and solve problems will be considered.

Career Development

This role is designed to develop into broader responsibility over time.

During your first months, you will work with existing systems, documentation and supervised technical tasks while learning AGC's operating environment.

As your capability grows, you will increasingly take ownership of:

Technical investigations
Testing and QA
Small system improvements
Automation
Workflow analysis
AI assisted development
Internal system documentation

The longer term development path is toward an AI Systems & Automation Engineer role with increasing responsibility for selected internal systems and workflows.

Recruitment Process

Shortlisted candidates will normally complete:

1. Initial phone screening
A short discussion about your background, projects, technical interests and availability.

2. Structured interview
A deeper discussion about how you approach technical problems, Git, AI tools, testing and learning unfamiliar systems.

3. Practical assessment
A practical GitHub and AI coding exercise using a sanitised, non production repository.

The assessment is designed to evaluate how you think, investigate, use tools and verify your work, rather than how much syntax you can memorise.

How to Apply

Please submit your resume through the university careers platform.

Where available, we strongly encourage you to include:

GitHub profile
Portfolio
Personal or university project
Deployed application
Automation project
Other examples of technical work you personally contributed to

When describing projects, tell us what you personally built, what tools you used and how you tested or verified that it worked.

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