Developer/Technical Lead for Start-Up

Developer Scope of Work Project Overview & Engagement Terms Domexa Labs for MyCondoCompliance (mycondocompliance.com). MyCondoCompliance is an enterprise and consumer-facing web platform built to aggregate, OCR, analyze, and report on condominium association compliance data throughout Florida (starting with Miami-Dade County). 1. Key Engagement Expectations: Dedicated Weekly Support: We require reliable, continuous development capacity week-over-week to support platform growth, new features, maintenance, and internal system updates. Flexible Monthly Hours: Hours will flex on a month-to-month basis depending on business priorities, product release cycles, and current backlogs. Minimum 2-3 hours/week, not to exceed 15hrs/week. Rapid Turnaround & Steady Communication: We operate in a fast-paced environment. Quick turnarounds on hotfixes, active updates on tasks, and daily/structured communication are critical. Language Requirement: Excellent, professional verbal and written English is a strict requirement for technical syncs, documentation, and coordination. 2. Technical Infrastructure & DevOps Architecture The MVP is complete, live, and deployed. You will inherit the following technical ecosystem: Infrastructure Stack: - Code Repository: Managed via GitHub. - Front-end Hosting: Deployed and managed on Netlify. - CI/CD: Automatically triggers deployment to production on master branch updates, and to staging/dev on dev branch updates. - Back-end Hosting & Infrastructure: Managed on Digital Ocean inside a Kubernetes environment. - DNS Administration: Managed on Digital Ocean. - Third-Party API Integrations: - Mapbox: Powers map-based search and property discovery. - Mailgun: Handles transactional email delivery. - Chatbase: Integrated for natural language querying and chat functionality. - TipTap: Rich text editor powering board notes and internal editing. 3. Scope Evolution & Core Pipelines As our incoming developer, you will be expected to maintain, debug, and expand upon the core features built during our initial execution phases. A. Data Pipelines & OCR Ingestion Engine - Website Scraper/ETL: Continuous ingestion pipelines that pull structured condo data and metadata from county public registers. - Normalization Engine: Ingestion pipeline that categorizes incoming unstructured documents into strict schemas - OCR & Vectorization: All ingested documents are automatically processed via an OCR layer, and the resulting plaintext is indexed into a vector database for semantic search and Retrieval-Augmented Generation (RAG). B. Autonomous AI Processing Agents We run specialized Python/Node microservices to process aggregated document metadata: - Granular Extraction: AI agents systematically query vector databases to extract critical datapoints - Audit Trails & Provenance: Each extracted datapoint must carry verification properties—linking back directly to the document source, specific page/snippet, and extraction timestamp. C. Portal Tiering & Client Features - Consumer Interface: Detailed property pages, dynamic scoring components, PDF report compilation and downloads. - Enterprise Interface: Multi-tenant web app allowing real estate, financial, and legal clients to access deep search, structured list filtering (e.g., filtering condos by unit counts, reserve posture, specific clauses such as "Kauffman language", and termination criteria), and batch export controls. - Admin Dashboard: Tracks user engagement metrics, domain lookups, purchase histories, and mailing list extractions.