AI Engineer (Assistant)

Build Technologies
San FranciscoPosted 27 March 2026

Job Description

AI Engineer (Assistant) 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 This role sits at the intersection of product, infrastructure, and user experience. You will turn the Build Assistant, Dougie, into a world-class product: turning the world’s best geospatial data and tooling layer into something usable, powerful, and trusted by institutions. Strong product sensibility is not optional; the ability to execute on it is a force multiplier. You’ll work closely with James SE https://www.linkedin.com/in/james-stirrat/ and Ben McClusky https://www.linkedin.com/in/ben-mcclusky-ba7b12171/. You can expect to: - Design, build, and deploy the Build Assistant: an AI-native product that sits on top of complex geospatial data, models, and workflows, and makes them usable through a single coherent interface. - Build a non-deterministic, multi-agent orchestration layer that coordinates tools, data sources, and human input to deliver reliable outcomes in ambiguous, real-world scenarios. - Translate institutional real estate and infrastructure workflows into a clean ontology that agents and humans can operate against. - Own and ship full-stack features end-to-end, from agent behavior and orchestration to UI, performance, and production reliability. - Build beautiful, opinionated user interfaces on top of Build’s design systems, where clarity, speed, and trust matter more than novelty. - Work directly with domain experts and customers to pressure-test assumptions and ensure the assistant delivers real leverage, not demos. - Solve unsolved problems at the intersection of AI systems and the physical world, where correctness, explainability, and failure modes matter. - Build software that scales in both usage and complexity, with a bias toward robustness, observability, and long-term maintainability. 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. Performance and teamwork are the core of Build’s operation. We look for those who are able to do both, who often exhibit a particular ability for; - Velocity: You are relentless in asking the right questions to set direction. Once you find the right direction you go all-in. - Excellence: You obsess with being the best. For you, excellence is a non-negotiable standard rather than an aspiration. - Long time horizons: You choose to be in something for the long run, because that’s where most of the returns are realized. - Ownership: You take full owners ... (truncated, view full listing at source)
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