AI Engineer: Computer Vision, LLMs & ML

your Jared; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Founding-team equity

Remote-friendly culture

Job summary

Intellus Build is hiring a founding AI engineer to turn cutting-edge LLM and vision research into field-ready tools for the construction industry. You’ll work alongside the founder and industry veterans to ship AI that moves dirt and dollars, even with limited wifi on site.

Expect an async-first, remote-friendly environment with zero bureaucracy. You will build systems that make construction sites safer and more productive, using a multi-model stack across LLM APIs, CV, and real-time data

Qualifications

• Recent graduate from top AI program (Stanford AI Lab, MIT CSAIL, or equivalent) or 2–3+ years building production ML systems.
• Strong Python skills and ability to explain complex ML concepts to non-technical stakeholders.
• Experience with RAG, embeddings and vector databases.

Responsibilities

• Build RAG systems that understand construction terminology.
• Deploy computer vision to detect safety violations from photos.

Skills

Python

PyTorch

TensorFlow

JAX

RAG

Embeddings

Vector databases

LangChain

LlamaIndex

OpenAI API

Anthropic API

Gemini API

Computer vision

Tools

PyTorch

TensorFlow

JAX

LangChain

LlamaIndex

Pinecone

Weaviate

pgvector

Job description

Work with ex-Narvar Founding CTO (Unicorn, $1B+). 6 AI patents. Enterprise AI pedigree: Google DCDE, Oracle, Macy's, Walmart Labs.

We're hiring founding team members to transform how the $12T global construction industry builds—from residential to mission-critical infrastructure.

Engineer the AI driving next-generation construction.

Location: Remote-US (San Francisco Bay Area Hybrid Preferred)

Type: Full-time

Compensation: Founding-team equity (1–2%) + base salary

Construction creates the world around us—yet still runs on WhatsApp, spreadsheets, and gut feel. Sites generate terabytes of data daily—yet none of it tells anyone what to do next.

This isn't a data problem. It's an Intelligence problem.

We're building the nervous system for construction. Think Palantir meets Procore, but actually usable by contractors. Our first customers are already begging for access.

You'll be the founding AI engineer, building alongside our founder and construction industry veterans. Async-first. Remote-friendly. Zero bureaucracy. No meetings about meetings. Just ship code that moves dirt and dollars.

You'll turn cutting-edge LLM and vision research into tools that run on dusty job sites and mobile devices.

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

You are:

• 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

• 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

• 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.