AI Engineer - Workflows
Build, New York City
- Pay
- $120K – $240K • Offers Equity
- Work type
- Onsite
- Level
- Not stated
- Area
- ML / AI engineering
- Posted
- Aug 29, 2026
About the role
ABOUT BUILD
AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion.
Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.
To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms.
Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.
ABOUT THE ROLE
Build's outputs are only as good as the operations that produce them. Every deliverable we ship is composed from modular operations and capabilities, and the quality of those modules is the quality of the company.
This role owns them: building new operations, improving the ones that underperform, and maintaining the library that everything else composes from. The bar is not 'plausible' or 'mostly right'.
You are accountable for a senior professional at a Tier 1 institution acting on Build's output without question.
You can expect to:
- Build and own the modular operations that compose Build's workflows
- Find where outputs fall short of the bar, and fix the underlying capability
- Build the evaluation harness that proves whether a change made things better
- Work with domain experts to encode what 'correct' actually means
- Reduce the human review a workflow needs without lowering the standard
- Keep the capability library composable as it grows
- Spend as much time on failure analysis as on building
- Own quality end-to-end, from prompt to delivered artifact
The individual we're looking for has built evaluations rather than just run them, and is comfortable that the bar here is set by someone else's expertise rather than their own.
HOW TO WIN AT BUILD
Growing Build requires a radically different approach to company building. As a company we're focused on one outcome: winning. That means we move fast, work with intensity, and demand excellence from ourselves. We operate with intensity but create an environment that allows for a lot of fun together. The result is that we're one of the fastest shipping teams in vertical AI, partnering with the best to automate the world around us.
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