Building a compliance-heavy document intelligence platform for a professional services firm. This is a real full-stack build, not a workflow or chatbot.
What we're building:
- Web-based platform with secure document upload, processing dashboard, and reporting
- OCR pipeline for extracting data from financial documents (PDFs, scans)
- Custom parsers for structured data extraction from financial statements
- RAG system for natural language document interrogation ("chat with your documents")
- LLM-powered categorization and analysis engine
- Court-ready report generation (Excel/PDF)
- Full audit trails and compliance layer
Tech stack:
- Frontend: Next.js, TypeScript, Tailwind
- Backend: Python, FastAPI, Celery
- AI/ML: LangChain, Azure OpenAI, Azure Document Intelligence
- Vector DB: Pinecone or pgvector
- Cloud: Azure (App Service, Blob Storage, PostgreSQL)
- Auth: Azure AD
Must-have experience:
- RAG architecture (not just tutorials - production deployments)
- Python backend with FastAPI
- PDF parsing and text extraction (messy real-world documents)
- Azure cloud services
- Next.js frontend
Nice to have:
- Financial document processing
- Compliance/audit logging systems
- Professional services or legal-tech experience
Compliance is a big concern for this project.
Timeline: 4-5 months Budget: Fair rates for senior work. This is a real build with ongoing maintenance.
When reaching out, include:
- Examples of RAG systems you've deployed in production
- Your experience with PDF/document processing
- Tech stack you'd recommend and why
- Your rate and availability
Offshore devs welcome if you have strong English communication and can overlap with North American hours for syncs.
Keep winning 🏆