Job Opportunities API

The short version 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 $6,000 forklift parts invoice that a 5-minute manual price check found for half the cost. We want an OCR + LLM pipeline that catches every one of those automatically. We have 10+ years of sales history and no forecasting. Every busy season, high-demand products stock out. You'll build the model that flags shortfalls before they happen. A heater once ran all winter and nobody noticed until the bill review — years later. You'll build anomaly detection on energy and utility data so that never happens again. Direct P&L impact. Your code will save real money, measurably, within months — not "improve engagement metrics." You'll work across the whole business: production scheduling, dispatch and truck routing (including oversized loads), job cost accounting, predictive maintenance, procurement, and compliance. What you'll build (first 12–18 months) AI invoice auditing — OCR + LLM pipeline that extracts line items from scanned vendor invoices and checks them against market pricing, with human review where errors are costly Demand forecasting — ML/time-series models on a decade of sales data, cross-referenced with mold inventory, to recommend what to pour next Unified inventory & job costing — one system for raw materials, finished goods, labor hours, and purchases tied to specific jobs Route & load planning — truck routing by weight capacity, trailer selection for over-weight/over-width loads, freight costs flowing into job cost sheets Predictive maintenance — evaluate our existing MaintainX deployment (keep it, replace it, or integrate it — your call), then use maintenance history to flag high-wear parts before they fail Compliance & alerts — fleet registrations, insurance, inspections, and real-time shipping/receiving notifications Logistics Location: 173 Church Street, Yalesville, CT — onsite with the people you're building for (adjust if hybrid flexibility is approved) Compensation: [$X–$Y base] + [benefits summary] (strongly recommend posting a range — it materially improves reply and apply rates) Process: intro call → technical deep-dive on a system you built → short practical exercise (invoice-extraction design) → meet the plant team → offer. Two weeks, start to finish, if you move fast.