[Hiring] AI Engineer: Computer Vision, LLMs & ML @Intellus Build

Role Description

Intellus Build is the Infrastructure of Truth—the AI-native operating system that connects dirt to dollars.

The Problem:

• Construction sites generate terabytes of unstructured data daily—photos, documents, videos, sensor readings.
• Currently, this valuable information goes to waste.

Your Mission:

• Build AI systems that transform construction chaos into actionable intelligence.

What You'll Build:

• Build RAG systems that understand construction terminology—teach AI the difference between 'pour concrete' and 'poor concrete'.
• Deploy computer vision that detects safety violations from grainy phone photos taken at 6 AM.
• Create AI assistants that answer 'What's the status of the Stanford dorm project?' by reasoning across blueprints, contracts, RFIs, and daily photo logs.
• Design real-time progress tracking that works even when construction sites have terrible WiFi.
• Build domain-aware AI that makes construction sites safer and more efficient.
• Build verification systems that track equipment from PO to energization across complex supply chains.

Qualifications

• Recent graduate from top AI program (Stanford AI Lab, MIT CSAIL, or equivalent) OR 2–3+ years building production ML systems.
• Focused on practical AI applications, not just research demos.
• Comfortable with the full ML stack: data processing → model selection → deployment → monitoring.
• Able to move quickly—you prototype in hours, not weeks.

Requirements

• Must Have:
• Shipped at least one LLM-based application used by real users.
• Experience with RAG, embeddings, and vector databases.
• Strong Python skills plus PyTorch, TensorFlow, or JAX.
• Ability to explain complex ML concepts to non-technical stakeholders.
• Nice to Have:
• Computer vision experience (YOLO, Segment Anything, etc.).
• Published ML research or Kaggle competition medals.
• Experience with construction, manufacturing, or industrial datasets.
• Track record of optimizing inference costs.

Benefits

• Real-world impact: Your models will help prevent workplace injuries and save lives.
• Unique datasets: Access to proprietary construction data that competitors don't have.
• Greenfield opportunity: Define the AI strategy from day one.
• Domain expertise: Work directly with construction industry veterans.
• Mission-critical scale: Your models will power verification for facilities where downtime isn't an option.
• Pedigree: A Stanford StartX company (elite sub-1% accelerator).

Company Description

Intellus Build is an equal opportunity employer. We welcome candidates from all backgrounds.