Most AI jobs out there fall into two categories:
Endless prototypes that never ship, or
AI strategy roles where nothing gets built.

This one is neither.

You’ll be joining a company where AI isn’t a side project. It’s the direction of travel. They’ve got an established products, plenty of customers, real data, and a backlog of AI problems that need solving properly, not with another POC that gathers dust.

So they’re not looking for theorists, hype merchants, or people who’ve lived their whole career inside Jupyter notebooks. They want who's got the scars and learnt through doing (and failing), someone who knows how to get things out the door and keep them running.

What you’ll be doing

You won’t be researching the future of artificial intelligence. You’ll be building things for real humans today.

Designing and building machine learning systems from scratch, the whole thing, not just the model.

Working heavily with LLMs and foundation models:



classification, document understanding, forecasting, the fun stuff and the fiddly stuff.

Getting features into production, not almost there if product just signs off.

Deploying, monitoring, evaluating, retraining, and making sure it all behaves itself in production.

Using AWS properly: S3, Sage Maker, Bedrock, Lambda, the lot.

Helping shape the MLOps patterns other teams will follow.
Working with product people who care about customer problems, not academic benchmarks.

Being a grown up voice in a team that is still forming its habits and standards.

If you like being thrown ambiguous problems and figuring out what to do, you’ll enjoy this. If you need a ticket for every decision, you won’t.

Who this suits

Ideally you're a software

📌 Principal Ai Engineer Melbourne (Australia)
🏢 Just Digital People
📍 Australia