We're solving one of the largest problems in the physical world: housing that's too slow and too expensive to build. The $2 trillion construction industry runs on human expertise that doesn't scale - so we're
building the AI that understands what to build and how to build it .
We start with the costliest problems for general contractors - the multi-million-dollar decisions that Claude cannot solve. Tyce Agent wins more projects and estimates costs on multi-million-dollar builds live at one of the landmark construction companies today.
We just closed a 7-figure round and are hiring to build the best AI platform for construction.
Competitive salary and equity.
What You'll Do You'll own the AI core of the product - how we ingest, understand, retrieve, and reason over customers' documents. This is the heart of our moat, and it's where the hardest, most interesting problems live.
Building a
Context/Knowledge Graph
around our customers knowledge bases - process messy PDFs, Excels into AI-native context representation
Improve on our
agent harness
- agentic search and any unique tools as part of our platform
Build the
evaluation harness
that keeps quality high as we ship rapid.
Ship latest AI featureas day-to-day alongside the founders and shape the AI roadmap.
We're on a modern, lean stack:
FastAPI, PostgreSQL, Pydantic-AI, Logfire, AWS , with a
React Router / TypeScript
frontend.
Required Qualifications
Mid-to-senior level of AI/engineering experience.
Strong in
Python ; comfortable shipping production systems, not just notebooks.
Hands-on experience building and
evaluating
LLM/RAG or ML systems.
Go-getter mindset, personal agency, fast learner, excellent verbal and writing skills.
Nice-to-have Qualifications Having any of these is a strong plus — tell us your superpower:
Built and
evaluated
an AI agent / RAG system for real-world performance.