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Currently available for select engagements

Hire AI Developer for Real Estate
Senior, direct, no layers

An AI developer builds practical AI features on top of your existing business: document processing, predictions, recommendations, and search over your own data. Built for real estate workflows, not a generic brief.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Real Estate — AI Developer

A senior ai developer for real estate

Real estate is won in the gap between an enquiry and a response. A buyer messages about a listing on a Saturday evening, a seller asks for a valuation while comparing agents, and a landlord weighs who will actually follow up. The agency that responds first, with useful answers and a viewing booked, usually wins the instruction, and the agency that replies on Monday often finds the buyer has already moved on.

An AI developer builds practical AI features on top of your existing business: document processing, predictions, recommendations, and search over your own data. The work is scoped to one workflow at a time, so you get a feature your team actually uses instead of a demo that never reaches production. For real estate, valuation estimates, listing descriptions, and enquiry triage are the obvious first candidates, because they consume hours and run on data the agency already holds.

Behind each sale sits a long chain of handoffs: valuation, listing preparation, photography, portal publication, enquiries, viewings, offers, negotiation, and conveyancing. When that chain runs on inboxes, spreadsheets, and memory, listings go stale, viewings double-book, follow-ups slip, and principals cannot see which enquiries are live and which have gone cold. Browse all hire engagements or book a free discovery call to test the fit before any scope is agreed.

What you get

What this engagement covers for real estate

  • Use-case selection from your real workflows —, ranked by hours saved and data available, not by what looks impressive in a demo.
  • Data preparation on the slice the feature needs: cleaning —, labelling, and access rules, so the model learns from your business rather than generic text.
  • Prototype on your own records first —, measured against your current manual process before any wider rollout is agreed.
  • Retrieval and grounding over your documents —, so answers and drafts cite your sources instead of inventing details.
  • Integration with the tools your team already opens every day —, so the feature sits inside the workflow instead of beside it.
  • Evaluation —, guardrails, and monitoring after launch, with a human check kept in place wherever a mistake would cost money or trust.
Tools and systems

Built around the tools real estate actually runs on

MLS is the listing data backbone that feeds portals and keeps listing information consistent. Zillow is the portal where most buyers start, and where enquiry speed and listing quality decide who gets the call. Realtor.com is a second major buyer channel, with its own lead routing and listing presentation rules. Follow Up Boss is the CRM many teams use to route, assign, and follow up portal and website enquiries. kvCORE is a platform combining CRM, websites, and marketing automation for brokerages and teams. Sierra Interactive is a website and CRM platform built around IDX search and lead capture for agents. BoomTown is a lead generation and CRM system used by teams running paid buyer and seller campaigns. DocuSign is electronic signatures for offers, disclosures, and listing paperwork. Dotloop is transaction management for documents, checklists, and compliance on each deal. ShowingTime is viewing scheduling and feedback collection, so showings and agent feedback stay in one place. Matterport is 3D tours and floor plans that let buyers shortlist seriously before booking a viewing.

Work starts from the systems the agency already runs. New tools are added only where they remove a real bottleneck, and every integration is judged on whether enquiries get answered faster and the pipeline stays visible.

A typical instruction moves from valuation to listing, from listing to portal enquiries, from enquiries to viewings, and from viewings to offers. Each step has a different owner and a different system, which is why the work that matters most is often the unglamorous middle: routing enquiries, scheduling viewings, chasing feedback, and keeping the pipeline visible to everyone who touches it.

How it works

From kickoff to delivery for real estate

  1. Discovery and data review

    We map the workflow, look at the data it actually produces, and pick one feature with a measurable success test.

  2. Prototype on real records

    A working version runs on your own cases, scored against how the job is done today, before anything is rebuilt around it.

  3. Integrate and harden

    The feature is wired into your tools with permissions, logging, and fallback behaviour for low-confidence outputs.

  4. Launch and measure

    It goes live to a slice of the work, results are reviewed weekly, and scope expands only on evidence.

Outcomes

What changes for real estate

The result worth measuring is simple: faster first response, fewer enquiries lost between systems, viewings booked without double-booking, and a pipeline the principal can read at a glance. Nothing here needs a new system for its own sake; the gain comes from the existing chain working without gaps.

For this engagement specifically, the gain is fewer hours spent on repetitive reading, sorting, and drafting, with a human check kept where it matters. The measure of success is agreed at scope stage, in terms your business already tracks, and reviewed as the work lands rather than asserted at the end.

Why Omer

Why hire Omer

  • AI scoped to a real workflow, with a human check where a mistake would cost money.
  • Senior-only delivery: one person owns the work, its decisions, and its handover.
  • Fixed scope agreed before build, so you know what is included and what is not.
  • Direct communication throughout, with no account layers between you and the person doing the work.
  • Documentation and handover, so the work keeps running and can be maintained after the engagement.
FAQ

Questions, answered

Do we need a lot of clean data to start?
No. Most engagements start with one messy but real dataset: past enquiries, documents, or job records. We clean only the slice the first feature needs, prove it works, and expand from there. If the data genuinely cannot support the feature, that is established in discovery, before build money is spent.
How do you handle MLS and portal data?
Work uses the feeds, exports, and integrations the brokerage already has, through the MLS, IDX providers, and CRM connections that are properly available. Data is never scraped or misrepresented, and listing accuracy stays the brokerage's responsibility, with the system built to surface errors rather than hide them.
What about advertising and fair housing rules?
Content and targeting are kept factual and compliant: no steering language, no discriminatory targeting, and claims about areas, schools, or values are checked before publication. Where rules vary by market, the brokerage's own compliance guidance governs, and anything uncertain is flagged rather than published.
How does an engagement start?
A discovery call first, where we discuss the real estate work, the systems already in place, and the outcome that matters. If the fit is right, you receive a fixed scope to approve before any build starts, with the measures of success written into it.
What do you need from us to start?
Access to the tools the real estate work already runs on, a named contact who can answer workflow questions, and an honest picture of where the process breaks today. The less that is hidden in discovery, the fewer surprises appear during build.
Currently available for select engagements

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