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 You're probably a fit if 3+ years of professional engineering experience, including at least one production system you owned end-to-end (data model → API → UI) Strong full-stack fundamentals: a modern backend language, solid SQL/relational design , and a modern frontend framework, we care more about judgment than any specific stack You've shipped LLM API integrations into production (OpenAI, Anthropic, etc.) structured, task-specific automation, not chatbot demos You've worked with OCR / document extraction and turned messy scans into clean, queryable data You know when a simple regression beats a fancy model, and when AI doesn't earn its complexity You use AI coding assistants (Claude Code, Copilot) daily and ship faster because of it You genuinely enjoy sitting down with a dispatcher or plant manager, understanding their manual process, and turning it into software they actually adopt You're self-directed and comfortable being the first engineer Bonus points: manufacturing/logistics/construction software, route optimization or constraint problems, anomaly detection on time-series data, AI-assisted procurement tools. You're probably not a fit if You want a large engineering org, a defined career ladder, and someone else deciding the architecture You need a product manager between you and your users You're only interested in fully remote work

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.

Benefits:

401(k) 10% Match Bereavement leave Dental insurance Health insurance Paid holidays Paid sick time Paid time off Referral program Relocation assistance Retirement plan Application Question(s): 3-5 sentences about a system you built end-to-end and what changed for the people using it. That paragraph matters more to us than the resume.

Education:

Bachelor's (Required) Ability to

Commute:

Wallingford, CT 06492 (Required)

Work Location:

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Founding Software Engineer AI & Operations (Full-Stack)