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Head of Engineering

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Smart Bricks
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 GBP Yearly GBP 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Build the Engineering Organisation Powering AI for Real Estate

Location:

London

About Smart Bricks

Smart Bricks is building the intelligence layer for real estate.

Every year, trillions of dollars are invested across residential, commercial and alternative real estate using fragmented systems, disconnected data and manual workflows. We're building an AI-native platform that enables investors, developers, lenders, governments and Fortune 500 companies to source opportunities, underwrite investments, perform due diligence and manage portfolios using AI.

Alongside our software platform, we're building an Applied AI Lab that works directly with some of the world's largest real estate organisations to redesign complex institutional workflows using AI.

Every customer engagement generates institutional knowledge. Every deployment strengthens the platform. Every improvement compounds across every future customer.

We’ve raised over $5 million, led by Andreessen Horowitz (a16z), and are backed by some of the world’s leading technology ecosystems, including Techstars, Google, NVIDIA and Microsoft through their AI and startup programmes.

We’re now building our founding leadership team in London. Our London team is based at Balderton Capital, one of Europe’s leading venture capital firms, putting us alongside some of Europe’s most ambitious founders, investors and technology companies.

We’re looking for an exceptional Head of Engineering to build the engineering organisation and technical foundations behind the next generation of Smart Bricks.

Why exceptional engineers join us

$5M+ raised, led by Andreessen Horowitz (a16z)

Backed by Google, NVIDIA, Microsoft and Techstars

Building our core team in London at Balderton Capital

Building production AI agents and infrastructure, not another LLM wrapper

Solving problems for some of the world’s largest real estate organisations

Opportunity to build an engineering organisation from the ground up

The Role

This isn’t a role for someone who wants to manage an established engineering organisation.

You’ll build one.

As Head of Engineering, you’ll own the technical foundations of Smart Bricks: the architecture, engineering organisation, infrastructure and standards that underpin everything we build.

You’ll work directly with the Founder & CEO, Head of Product and Head of Applied AI to turn complex institutional workflows into scalable AI-native software.

In the early days, you’ll be deeply hands‑on: writing production code, making architecture decisions, reviewing pull requests, debugging systems and shipping alongside the team.

As we scale, you’ll recruit and lead an exceptional engineering organisation around you.

The decisions you make in your first year will influence every product we build, every enterprise customer we serve and every engineer who joins after you.

What You’ll Own

Build the Engineering Organisation

Recruit and lead the founding engineering team in London.

You’ll define our hiring bar, engineering principles, development practices and technical culture from the beginning.

We’re building a culture centred around:

  • Ownership and craftsmanship
  • First-principles thinking
  • Simplicity and pragmatism
  • Speed without sacrificing quality
  • High agency and low ego

The goal is simple: build an engineering organisation where exceptional people do the best work of their careers.

Architect the Smart Bricks Platform

Own the technical architecture of our institutional AI platform.

You’ll design foundations that allow us to experiment rapidly today without constraining what Smart Bricks can become tomorrow.

That includes:

  • Agent orchestration and workflow engines
  • Knowledge and retrieval infrastructure
  • Data and reasoning systems
  • Enterprise APIs and integrations
  • Evaluation infrastructure
  • Observability and monitoring
  • Security and permissions
  • Cloud and deployment infrastructure

You’ll make the architectural decisions that determine how the platform scales across customers, markets, asset classes and use cases.

Build AI‑Native Infrastructure

Traditional SaaS architecture isn’t enough for what we’re building.

You’ll design infrastructure for software in which AI agents reason, retrieve information, call tools, execute…

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