Build the data and AI platform for construction equipment dealerships. Responsibilities include developing Python ingestion pipelines, orchestrating cloud workloads, maintaining canonical schemas in Databricks and PostgreSQL, resolving entities, extracting information from documents with LLMs, and building LangChain/LangGraph agent workflows. The role also involves production cloud deployment, human-in-the-loop approvals, model routing, observability, action logging, and autonomous execution safeguards.

Founding Engineer responsible for building FilmoreAI’s production AI and data platform for construction equipment dealers. The role covers agent infrastructure, model routing, LLM extraction and reasoning, canonical data modeling, entity resolution, Python data pipelines, Azure cloud orchestration, evaluation, observability, and safe human-approved write-back. The engineer will work independently in an ambiguous startup environment and use agentic development tools to ship reliable systems with strong cost, latency, accuracy, and operational guardrails.

Operate and improve data pipelines supporting construction equipment intelligence. Monitor scrapers and data feeds, diagnose failures, maintain quality gates, manage public-records acquisition and vendor relationships, and conduct SQL-based analysis for dealers and founders. Perform lead-quality reviews, document data sources, coordinate county outreach, and identify silent data failures. The role requires strong SQL, Python, spreadsheet, operational, communication, and AI-assisted workflow skills in an autonomous startup environment.