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Backend Developer – AI Document Generator + Rare Event Validator (Python)
We’re building an AI simulation tool that generates realistic financial document sets (invoices, receipts, GL entries) to test audit workflows. We’re looking for a backend developer to help us generate structured document outputs, inject rare and common errors, and validate coverage diversity. What you’ll build: * A DocumentAgent module to generate internally consistent financial document sets * Controlled error injection logic (e.g., overpayments, GL misclassification, missing receipts) * A RareEventValidator that analyzes scenario coverage and flags gaps or repetitions * Structured outputs in .txt, .csv, and .json with metadata for QA and audit * Optional: lightweight PDF rendering for human review and testing You’ll work from: * Clear simulation specs and architecture diagrams * A well-defined data contract (input config → document bundle + metadata) * Sample outputs and company profiles Tech stack: * Python 3 * JSON/CSV logging * Optional: WeasyPrint, ReportLab for PDF output Timeline: * Start mid-to-late July. * ~40–60 hours total over 4–6 weeks. * Flexible pacing, async friendly.