Full-Stack Developer for AI Doc Analytics
Budget: $250 – $750 USD
### *Job Title:* Full-Stack Developer (Lovable, Supabase & AI Integration) – 2-Week Sprint
*Project Overview:*
We are finalizing an AI-powered document intelligence and analytics library. The frontend skeleton is built using *Lovable (Next.js/React), and the backend is powered by **Supabase (PostgreSQL). We need an experienced, fast-moving full-stack developer to connect the UI, optimize database structures, integrate advanced AI APIs, and complete the production deployment within a strict **2-week timeline*.
### *Key Responsibilities:*
* *AI Pipeline Integration:* Build Supabase Edge Functions to handle file parsing, structured metadata extraction via *Claude 4.6, and vector embedding generation via **Voyage AI*.
* *Vector Search & DB Optimization:* Implement semantic search using pgvector and an HNSW index via Supabase RPC functions. Finalize relational database schemas, foreign keys, and strict Row Level Security (RLS) policies.
* *Frontend Completion:* Connect existing Lovable UI components to the Supabase backend (file upload states, active filtering, and dynamic dashboards).
* *Performance Engineering:* Implement asynchronous execution patterns (EdgeRuntime.waitUntil) to handle heavy AI workloads without hitting API Gateway timeouts.
### *Technical Stack:*
* *Frontend:* React, Next.js, Tailwind CSS (Lovable workflow)
* *Backend:* Supabase (Auth, Storage, Database, Edge Functions)
* *Database:* PostgreSQL, pgvector, HNSW indexing, PL/pgSQL
* *APIs:* Anthropic Claude (4.6), Voyage AI
### *Project Timeline & Deliverables:*
* *Days 1–4:* Database schema finalization, constraint mapping, and RLS security audit.
* *Days 5–9:* Core asynchronous processing pipeline (Upload > AI Extraction > Embedding > DB Storage).
* *Days 10–12:* Frontend-to-backend integration, search filters validation, and UI state tuning.
* *Days 13–14:* End-to-end testing, error handling optimization, and final deployment.
*Engagement:* Fixed-fee, 2-week contract. Requires daily async progress updates and high availability.
*Project Overview:*
We are finalizing an AI-powered document intelligence and analytics library. The frontend skeleton is built using *Lovable (Next.js/React), and the backend is powered by **Supabase (PostgreSQL). We need an experienced, fast-moving full-stack developer to connect the UI, optimize database structures, integrate advanced AI APIs, and complete the production deployment within a strict **2-week timeline*.
### *Key Responsibilities:*
* *AI Pipeline Integration:* Build Supabase Edge Functions to handle file parsing, structured metadata extraction via *Claude 4.6, and vector embedding generation via **Voyage AI*.
* *Vector Search & DB Optimization:* Implement semantic search using pgvector and an HNSW index via Supabase RPC functions. Finalize relational database schemas, foreign keys, and strict Row Level Security (RLS) policies.
* *Frontend Completion:* Connect existing Lovable UI components to the Supabase backend (file upload states, active filtering, and dynamic dashboards).
* *Performance Engineering:* Implement asynchronous execution patterns (EdgeRuntime.waitUntil) to handle heavy AI workloads without hitting API Gateway timeouts.
### *Technical Stack:*
* *Frontend:* React, Next.js, Tailwind CSS (Lovable workflow)
* *Backend:* Supabase (Auth, Storage, Database, Edge Functions)
* *Database:* PostgreSQL, pgvector, HNSW indexing, PL/pgSQL
* *APIs:* Anthropic Claude (4.6), Voyage AI
### *Project Timeline & Deliverables:*
* *Days 1–4:* Database schema finalization, constraint mapping, and RLS security audit.
* *Days 5–9:* Core asynchronous processing pipeline (Upload > AI Extraction > Embedding > DB Storage).
* *Days 10–12:* Frontend-to-backend integration, search filters validation, and UI state tuning.
* *Days 13–14:* End-to-end testing, error handling optimization, and final deployment.
*Engagement:* Fixed-fee, 2-week contract. Requires daily async progress updates and high availability.