Senior full-stack developer needed, ai compliance mvp

senior full-stack developer needed for ai compliance mvp i’m looking for a senior full-stack developer to build the mvp of an **ai-powered compliance review platform for small businesses**. the product will allow a company to upload contracts, policies, and internal documents. the system will analyze them against a predefined set of compliance rules and return potential issues, explanations, and recommended actions. ### mvp scope * email/password + google authentication * organizations with multiple team members * role-based access: owner, admin, member * create/manage multiple organizations * document upload for pdf/docx files * background processing for uploaded documents * extract and chunk document text * ai analysis using openai * configurable compliance rules/checklists * results grouped by severity: critical, warning, informational * each finding should reference the relevant document section/page * users can mark findings as resolved/ignored * dashboard showing compliance score and unresolved findings * document/version history * search and filtering across findings * stripe subscription with monthly plans * basic usage limits per organization * responsive dashboard ### suggested stack next.js + typescript postgresql/supabase openai api stripe s3-compatible object storage background jobs/queue for document processing the architecture should be designed so that ai processing is **asynchronous** and a large document upload doesn't block the user's request. ### important this is an mvp, so i don't want unnecessary features or over-engineering. i care about clean architecture, reliable document processing, proper multi-tenant data isolation, and code that can be extended after the mvp. **to prove you actually read this post:** start your proposal with 'compliance mvp'. then answer this specific question in 3–5 sentences: a user uploads a 150-page pdf. extracting the text succeeds, but the ai analysis fails halfway through. how would you design the processing pipeline so we can retry the failed part without processing the entire document again? generic ai-generated proposals will be ignored.