About Build
Build is creating the agentic AI stack for the built world. We help institutional real estate teams automate complex development and acquisitions workflows so important projects can move from concept to completion faster, with less cost, delay, and operational drag.
Our customers include some of the largest built-world institutions: alternative asset investors, developers, infrastructure owners, energy companies, industrial operators, and public-sector partners. Their work shapes the physical world, but the workflows behind it are still slow, fragmented, document-heavy, and dependent on expert coordination.
We believe the next generation of built-world software will not just organize work. It will help do the work. Agents will reason across documents, drawings, financial models, market data, approvals, constraints, and expert judgment. Human experts stay in control, but they operate with far more leverage.
We are backed by leading investors and operators, including executives from Blackstone and OpenAI, alongside top venture firms.
The role
Before a single foundation is poured, someone has to figure out whether the building works at all. Block and test fits are where development feasibility lives or dies: where GFA, massing, setbacks, parking ratios, loading, and planning constraints either stack up into a viable scheme or they don't.
Build automates this process for institutional developers and investors. Our agents run block fits at speed across multiple sites, configurations, and planning scenarios. The domain expert makes sure the outputs are right, and that the judgment behind them is sound.
"The AI does the work. The domain expert makes it right."
This role is for someone who has spent years producing and reviewing block and test fits in a real development, planning, or design context. You know what a viable scheme looks like before you've finished drawing it. You understand the planning constraints that kill deals and the design moves that save them.
You'll review, validate, and steer AI-generated feasibility work across live client engagements, and help define what good judgment looks like in practice.
What you'll do
Execute test fits at 10x the speed using Build's internal tooling
Review and validate AI-generated block fits and test fit outputs for accuracy, feasibility, and planning compliance
Apply practitioner judgment to massing, GFA calculations, site coverage, setbacks, parking, servicing, and planning constraints
Identify where AI outputs are incorrect, incomplete, or inconsistent with local planning policy or development norms
Collaborate with Build's engineering and domain teams to improve workflow accuracy and output quality over time
Produce written assessments, feasibility notes, and scheme commentary where needed
Help articulate what 'correct' looks like: the assumptions, constraints, and judgment calls that determine whether a scheme is viable
What we're looking for
5+ years producing block fits, test fits, or development feasibility work at an architect's practice, developer, planning consultancy, or real estate advisory firm
Strong working knowledge of planning policy and development constraints in one or more major markets (UK, US, or European cities preferred)
Proficiency in the tools used to produce and review block fits: AutoCAD, Revit, Rhino, or equivalent
The ability to explain why a scheme works or doesn't, not just produce it
Clear, direct written communication. Our workflows are asynchronous and our clients move fast.
Comfort working with AI-generated outputs and improving them, not just reviewing from a distance
Preference for flexible, contract-based engagements over traditional employment
How it works
Fully remote, contract-based
Engagements vary in scope and duration: some short-term, some ongoing retainers
Hourly rate: $75-$200 depending on experience and scope. Exceptional expertise goes higher.
Ongoing collaborations structured as monthly retainers where volume justifies it
Assessment: CV review and a paid work sample if there's a fit