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About the Role

We are looking for an AI engineer to build agentic workflows that customers use in production. This is a hands-on engineering role focused on turning ambiguous, high-value real estate workflows into reliable product experiences. You will work directly with customers, domain experts, designers, and engineers to understand workflows and build AI-powered systems. You should be excited by the intersection of product engineering and applied AI, including long-running agents, context engineering, document intelligence, visual reasoning, workflow orchestration, human-in-the-loop review, evals, observability, and product surfaces that make agent work understandable and trustworthy. This role involves shipping production software, owning customer outcomes, and defining AI-native product engineering in the built world.

Responsibilities

Design and ship production AI workflows for real estate design, acquisitions, diligence, planning, and project execution.
Work directly with customers and internal experts to map complex workflows into software systems with clear inputs, outputs, edge cases, and success criteria.
Build agents that reason across leases, zoning documents, site plans, drawings, financial models, market comps, investment memos, permits, emails, and project history.
Own full-stack product features end to end, from backend workflow logic to user-facing review, approval, and collaboration surfaces.
Design context strategies that help agents use the right documents, prior decisions, domain constraints, tool outputs, and user intent at the right time.
Build retrieval, extraction, structured-output, and tool-calling flows that are robust enough for expert users.
Create evals for document understanding, grounded reasoning, workflow completion, visual QA, accuracy, latency, and customer usefulness.
Inspect traces, debug failures, improve prompts and workflows, and turn customer feedback into measurable system improvements.
Partner with the core AI and infrastructure team to improve agent reliability, observability, evaluation, and developer velocity.
Raise the product quality bar for AI systems that need to be inspectable, explainable, and trusted.

Requirements

You are a strong product-minded software engineer who has shipped production systems used by real users.
You have built with LLM APIs, agent frameworks, structured outputs, tool calling, RAG, document processing, or workflow systems.
You are comfortable with Python and modern backend systems, and you can move across the stack when needed.
You can take a vague customer problem, ask the right questions, identify the workflow, and turn it into a product that works.
You care about agent quality beyond prompts: evals, traces, regressions, edge cases, latency, cost, and user trust.
You like working with domain experts and learning the details of complex industries.
You move fast, but you do not confuse a compelling demo with a reliable production system.
You have good product taste and care about making complex AI behavior understandable to users.

Skills

LLM APIs
Agent frameworks
Structured outputs
Tool calling
RAG
Document processing
Workflow systems
Python
Backend systems
Evals
Traces
Regressions
Edge cases
Latency
Cost
User trust
LangGraph
LangChain
Temporal
Workflow engines
Vector databases
Reranking
Document AI
Multimodal models
Agent observability tools
AI products in real estate
AI products in construction
AI products in infrastructure
AI products in finance
AI products in legal
AI products in insurance
AI products in logistics
Human-in-the-loop systems
Review workflows
Confidence surfaces
Expert feedback loops

Benefits

Real ownership
A steep learning curve
Exceptional teammates
Meaningful equity
A chance to shape the physical world

About the Company

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.
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 will stay in control, but they will operate with far more leverage.
We are backed by leading investors and operators, including executives from Blackstone and OpenAI, alongside top venture firms.
We are building a generational company at the intersection of AI and the physical world.
Build is a high-ownership environment.
We care about speed, judgment, taste, customer impact, and the quality of the systems we ship.
Our customers operate in high-stakes environments where better software can change the pace of real-world projects, so we work with urgency and care.
The people who thrive here take ownership, think clearly, act with integrity, and hold a high bar for their work.
They are comfortable with ambiguity, direct feedback, ambitious goals, and close collaboration with customers.
They know that trust, judgment, and teamwork are what make speed sustainable.