Founding Software Engineer - AI & Operations (Full-Stack)

United Concrete•Wallingford, CT

11d•Onsite

About The Position

We make precast concrete — the stuff underneath roads, buildings, and utilities across the Northeast. Our plants run on spreadsheets, memory, and paper. We're hiring one engineer to change that, with full ownership of architecture, stack, and roadmap. You won't inherit legacy code. You won't ship features into a backlog nobody reads. You'll build systems that people 50 feet from your desk use every day — and they'll tell you, immediately and honestly, whether they work. Why this role is different You choose the stack. Green-field. Data model to UI, it's yours. AI is the job, not a bolt-on. Real problems waiting for it: We recently caught a $6,000 forklift parts invoice that a 5-minute manual price check found for half the cost. We want an OCR + LLM pipeline that catches every one of those automatically. We have 10+ years of sales history and no forecasting. Every busy season, high-demand products stock out. You'll build the model that flags shortfalls before they happen. A heater once ran all winter and nobody noticed until the bill review — years later. You'll build anomaly detection on energy and utility data so that never happens again. Direct P&L impact. Your code will save real money, measurably, within months — not "improve engagement metrics." You'll work across the whole business: production scheduling, dispatch and truck routing (including oversized loads), job cost accounting, predictive maintenance, procurement, and compliance. What you'll build (first 12–18 months) AI invoice auditing — OCR + LLM pipeline that extracts line items from scanned vendor invoices and checks them against market pricing, with human review where errors are costly Demand forecasting — ML/time-series models on a decade of sales data, cross-referenced with mold inventory, to recommend what to pour next Unified inventory & job costing — one system for raw materials, finished goods, labor hours, and purchases tied to specific jobs Route & load planning — truck routing by weight capacity, trailer selection for over-weight/over-width loads, freight costs flowing into job cost sheets Predictive maintenance — evaluate our existing MaintainX deployment (keep it, replace it, or integrate it — your call), then use maintenance history to flag high-wear parts before they fail Compliance & alerts — fleet registrations, insurance, inspections, and real-time shipping/receiving notifications

Requirements

3+ years of professional engineering experience.
Experience owning at least one production system end-to-end (data model → API → UI).
Strong full-stack fundamentals: a modern backend language, solid SQL/relational design, and a modern frontend framework.
Shipped LLM API integrations into production (OpenAI, Anthropic, etc.).
Experience with OCR / document extraction.
Understanding of when simple regression is better than complex models.
Daily use of AI coding assistants (Claude Code, Copilot).
Ability to understand manual processes and translate them into adopted software.
Self-directed and comfortable being the first engineer.
Genuine enjoyment of working directly with users like dispatchers or plant managers.

Nice To Haves

Manufacturing/logistics/construction software experience.
Route optimization or constraint problem experience.
Anomaly detection on time-series data.
AI-assisted procurement tools.

Responsibilities

Build systems that people use every day and get immediate feedback.
Develop an OCR + LLM pipeline for automated invoice auditing.
Create ML/time-series models for demand forecasting.
Build a unified system for inventory and job costing.
Develop truck routing and load planning solutions.
Evaluate and implement a predictive maintenance system.
Create compliance alerts for fleet management and notifications for shipping/receiving.