AI Engineer (Generalist)

Build Technologies
San FranciscoPosted 27 March 2026

Job Description

AI Engineer (Generalist) 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 We’re looking for an AI engineer who can own end‑to‑end agent and product workflows, from prototype to production, in close partnership with our customers and internal experts. If you get energy from thinking about how to craft novel products around long running agents, visual reasoning and context engineering.. You'll enjoy this role. You can expect to; - Design, build, and deploy production-grade AI agents using Python & LangGraph, as well as other modern AI frameworks, focused on delivering customer outcomes. - Work directly with domain experts and customers to translate complex real estate workflows into production-grade software that delivers real outcomes. - Own and ship full-stack features end-to-end. You'll own meaningful problems end-to-end, decide how the work gets done, and be accountable for the outcomes. - Solve hard, unsolved problems at the intersection of AI and the physical world. There's no playbook for what we're building. - Build software that scales. You'll champion reliability, write tests that matter, and take pride in shipping code that holds up in production. 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 ownership of the outcomes. You’re meticulous in your pursuits and believe you can actively shape your environment rather than adapt to it. - Customers: You have a passion for the built world and those who shape it. You probably have a quirky hobby or story that relates to your love for building. - Integrity: You chose to do the right thing even when it isn’t easy. - Trust: You only work with people you can trust because it’s the only way to do truly extraordinary things. - Yield: You have a burning need to see a result on every action you take and you’re always looking for routes to do more with less. WHAT WE OFFER - Radical autonomy, ... (truncated, view full listing at source)
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