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AI Is Hiring in Property: The New Jobs in Aussie Proptech

4 min readBrett Iredale

REA, Domain, Ray White and Lendi are all hiring AI talent for property right now. Here's what these new roles look like and how to get into them.

Everyone's asking whether AI will take jobs in real estate. I'd rather look at what's actually happening. And right now, some of Australia's biggest property names are hiring AI people.

This is the exponential age arriving in property, and it's creating a whole new class of property careers.

Who's hiring right now

A quick look at recent job ads shows how seriously the industry is taking AI:

  • REA Group posted a Staff Software Engineer, Machine Learning role on 5 October, based in Melbourne or Sydney, to "shape the intelligent core" of its platform. REA describes its consumer experiences as "AI-led" across the whole property journey.
  • Domain (now part of CoStar) is hiring a Senior Manager, AI/ML Engineering in Sydney, posted 8 October. The role owns the machine learning that values Australian homes and an "agentic AI platform" the rest of the business builds on.
  • Ray White is advertising for a Senior Data Scientist to build AI, machine learning, LLM and agentic solutions, hybrid in Sydney or Melbourne.
  • Lendi Group wants a Senior Data Scientist in applied machine learning for home lending and property services.
  • EY-Parthenon advertised earlier this year for an AI Senior Consultant to help shape the future of real estate. That role has now closed, but the ad said it all: "You don't need real estate experience, we've got that part covered."

Portals, agency groups, lenders and consultancies. That's the whole property ecosystem putting money into AI talent.

The word to watch: agentic

Two of those ads use the word "agentic". In plain English, that means AI that doesn't just answer questions but actually does tasks: booking inspections, drafting replies, pulling data from several systems, and handing over to a human when it should. Ray White's ad even asks for someone to design "appropriate human review" into these workflows.

That's the right approach. The future isn't robots replacing agents. It's agents, property managers and analysts with very capable digital helpers doing the boring bits.

What this means if you're not a data scientist

You don't need to write code to benefit. Here's how I see the shift playing out for everyday property roles:

  • Sales agents who use AI to write listings, prep appraisals and follow up leads will have more time for the face-to-face work that wins listings.
  • Property managers can use AI to draft routine emails, summarise inspection notes and keep on top of compliance. That's a big deal in a job with real burnout problems.
  • Valuers and analysts will work alongside automated valuation models, checking and explaining the numbers rather than crunching every one by hand.
  • Marketing and operations people who can set up and run AI tools are becoming the quiet heroes of many agencies.

The skill that matters most isn't coding. It's knowing what good looks like, and using the tools to get there faster.

Let's be realistic

AI won't fix everything. These tools make mistakes, rental and privacy rules still apply, and clients still want a trusted human when they're making the biggest financial decision of their lives. The best employers know this, which is why these job ads talk about testing, evaluation and responsible AI.

But being realistic doesn't mean sitting still. The people who learn these tools now will be the team leaders of 2028.

How to get into AI in property

  1. If you're technical, learn the property data. Valuations, listings, lending and rental data are the core of these roles. Ads ask for Python, SQL, machine learning and cloud skills.
  2. If you're in property, get hands-on with AI tools. Grok Bot, ChatGPT and Claude are all good places to start. Try one, and pick whichever suits you.
  3. Build small wins. Automate one task in your week, then tell your manager what it saved. That's a CV line and an interview story.
  4. Talk the language. Terms like LLM, agentic workflow and automated valuation model come up in interviews now. Know what they mean.
  5. Look sideways. Lenders, consultancies and portals all hire for property knowledge plus tech skills. Your real estate background can be the edge, not the barrier.

The bottom line

AI isn't the end of property careers. It's opening new ones, and making the existing ones a lot more interesting. I find that genuinely exciting.

Browse the latest property and proptech jobs on PropertyRoles, and set up a job alert so you hear about the next AI role first.

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