2-Week Paid PoC — Backend AI System for Indian Equities (Audit-Grade Research) Description: I am hiring a backend engineer for a 2-week paid Proof of Concept (PoC) to build a small working version of an automated investment research system for Indian equities (NSE/BSE). This is not a trading bot, not a dashboard, and not a scraping project. It is a backend-only system that: Automatically ingests official NSE/BSE filings Downloads and stores PDFs Computes SHA256 hashes Validates and parses documents Enforces BUY/HOLD rules in Python (not prompts) Generates research briefs with evidence Runs with zero manual data handling PoC Scope (2 Weeks) The PoC will cover 3–5 Indian defence stocks only. You must deliver: Automated PDF ingestion (no manual uploads, no scraping) Hashing + timestamping + duplicate prevention Structured parsing with schema validation Simple Python rule engine (example: BUY blocked if <2 filings) One research brief per stock System health report (jobs run, failures, missing data) Tech Preference Python, PostgreSQL, Pydantic, LlamaParse (or equivalent) Budget Fixed-price PoC: $300–$600 Milestone-based payments Important This PoC is a qualification stage. Only developers who pass will be considered for the full project. To Apply, Answer These: How will you discover NSE/BSE PDFs without scraping? Where will SHA256 hashing happen in your pipeline? How will you enforce BUY rules in backend code? How will the system fail safely if data is missing? Share one similar backend/compliance project. Low-effort applications will be ignored.