AI Engineer; Assistant

Position: AI Engineer (Assistant)
Job Summary
:
Build.inc is focused on revolutionizing the built world through agentic AI, streamlining complex workflows in institutional real estate and infrastructure. The role involves developing the Build Assistant, a product that utilizes geospatial data and enhances user experience while ensuring reliability and performance in real-world scenarios.

Responsibilities
:

• 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.

Qualifications
:
Required
:

• Strong product sensibility

• Ability to execute on product sensibility

• Experience in designing, building, and deploying AI-native products

• Experience with complex geospatial data, models, and workflows

• Ability to build a non-deterministic, multi-agent orchestration layer

• Experience translating institutional real estate and infrastructure workflows into a clean ontology

• Experience owning and shipping full-stack features end-to-end

• Ability to build user interfaces on top of design systems

• Experience working directly with domain experts and customers

• Ability to solve problems at the intersection of AI systems and the physical world

• Experience building software that scales in usage and complexity

• Bias toward robustness, observability, and long-term maintainability

• Relentless in asking the right questions to set direction

• Obsessive about excellence

• Long-term commitment to projects

• Full ownership of outcomes

• Passion for the built world

• Integrity in decision-making

• Ability to work with trusted colleagues

• Desire to see results from actions taken

Company
:
AI for the Built World:
Build has created the agentic AI stack for institutional real estate development, automating complex development workflows 90% faster than humans to accelerate the world’s most important built projects - digital infrastructure, energy, industrial - from concept to completion. Founded in 2024, the company is headquartered in San Francisco, CA, US, , with a team of 11-50 employees. The company is currently Early Stage.