AI Engineer: Computer Vision, LLMs & ML

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.

As the founding AI engineer, you'll tackle problems that don't have Stack Overflow answers:

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

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

We're flexible on the stack, but likely:

LLM APIs: OpenAI, Anthropic, Gemini—multi-model approach

Orchestration: LangChain, LlamaIndex, or custom frameworks

Vector stores: Pinecone, Weaviate, or pgvector

ML frameworks: PyTorch, TensorFlow, or JAX

You'll help shape these choices as we build.

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)

You'll complete two quick assessments to show us what you can do.

Top scorers get interviewed. We move fast. No bureaucracy.

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