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Founding Deployed Engineer
Jack & Jill
New York · On-site Full-time Lead $180k – $250k/yr 3d ago
About the role
Company Description
BUILD, Inc. - AI for the Built World, backed by Blackstone and OpenAI executives.
Job Description
As a Founding Deployed Engineer, you will bridge the gap between AI capabilities and real-world execution for institutional real estate. You will own the entire deployment lifecycle, from scoping ambiguous problems with stakeholders to shipping production-grade agents. This is a high-impact role for a generalist ready to automate the global physical infrastructure landscape.
Location
New York City, USA
Why this role is remarkable:
- Work at a high-velocity seed-stage startup with $8.5M in funding from premier investors like OpenAI and Blackstone C-suite members.
- Gain a true founder’s track experience by building from zero and influencing the core engineering culture of a generational vertical AI company.
- Directly impact the physical world by automating workflows for trillion-dollar asset managers and global infrastructure developers, seeing your code turn into real-world projects.
What you will do:
- Design, build, and deploy production-grade AI agents using Python and LangGraph to automate complex real estate acquisitions and development workflows.
- Partner directly with customer stakeholders to translate messy, real-world requirements into scoped, shippable solutions with explicit success criteria.
- Build robust data collection and automation pipelines using web scraping, browser agents, and voice agents to enable end-to-end autonomous workflows.
The ideal candidate:
- Possesses 2-6 years of professional experience with a proven track record of shipping and maintaining production-grade AI/ML systems in a fast-paced environment.
- Demonstrates strong full-stack capabilities and comfort working across the stack, from agent behavior and data workflows to infrastructure and platform concerns.
- Exhibits an ownership mindset with the ability to navigate high-stakes environments and communicate technical trade-offs clearly to non-technical institutional stakeholders.
Skills
AILangGraphMLPython
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