Project Title Web Application for Financial Data Processing (Lean MVP – 2 Week Sprint) Project Description We are building a lean MVP web application that processes structured financial data and produces structured outputs to support internal review workflows. The system includes AI-assisted components implemented as specialised agents, coordinated to automate parts of the data processing and validation flow. This engagement is a time-boxed MVP sprint (2 weeks) focused on validating workflows and technical feasibility. High-Level Scope Upload and validate structured data files (CSV / Excel) Capture basic contextual information through simple forms Apply automated processing using AI agents (details shared privately) Surface warnings, confidence indicators, and review flags Allow users to review, adjust, and approve outputs Generate structured outputs for download (PDF / Word) (Detailed logic, agent responsibilities, and examples will be shared with shortlisted candidates.) Technical Expectations Web-based application Clean, modular codebase Clear separation between UI, processing logic, and AI agents Secure handling of uploaded data AI agents implemented in a way that allows future extension or replacement Ideal Candidate Strong full-stack developer (or small team) Experience with data-heavy web applications Comfortable working with AI-assisted features (LLMs, rules, or agents) Able to deliver focused functionality within a short, fixed timeline Good communicator and pragmatic problem solver Deliverables Working MVP deployed to a staging environment Source code Basic setup / run documentation Handover walkthrough Timeline & Budget Timeline: 2 weeks (fixed) Budget: Open to proposals (Lean MVP, scope-controlled)