Job VC
Senior Full-Stack Engineer(Python/React/Next)
Technologies
Description
We are looking for a senior full-stack engineer with proven experience in AI-powered document workflows.
Requirements
5+ years of software development experience
Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
Experience with PDF processing: extraction, parsing, classification at scale
Comfortable in fast-moving, small-team environments with high autonomy
Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)
Nice to Have
Direct experience in real estate tech or legal tech products
E-signature or document execution workflow experience
Background in deal or transaction management platforms
Key Responsibilities
Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
Implement document state analysis — execution status detection, document categorization, follow-up identification
Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
Work autonomously and communicate proactively — own features end-to-end
Required Tech Stack
Next.js / React — primary framework (frontend and API)
Python — basic understanding
Supabase — database and authentication
Vercel — deployment infrastructure
Claude API (Anthropic) — AI layer; strong prompt engineering skills required
TypeScript — used throughout the codebase
Requirements
5+ years of software development experience
Hands-on experience building production-grade AI document pipelines — not just LLM API integration, but full pipeline design and reliability
Comfortable working with legal/commercial document structures — contracts, agreements, leases — at a level where no explanation of the basics is needed
Experience with PDF processing: extraction, parsing, classification at scale
Comfortable in fast-moving, small-team environments with high autonomy
Familiarity with AI-assisted development tools (Claude Code, Cursor, or similar)
Nice to Have
Direct experience in real estate tech or legal tech products
E-signature or document execution workflow experience
Background in deal or transaction management platforms
Key Responsibilities
Build AI pipelines to ingest and process document knowledge bases (regulations, contract templates, legal frameworks) and generate structured rules and logic
Develop document understanding features: summarization, classification, party identification, payment terms, key dates, and required actions from uploaded PDFs
Implement document state analysis — execution status detection, document categorization, follow-up identification
Contribute across the deal intelligence stack: contract creation, e-signing workflows, payment triggers, file management, and compliance tracking
Work autonomously and communicate proactively — own features end-to-end
Required Tech Stack
Next.js / React — primary framework (frontend and API)
Python — basic understanding
Supabase — database and authentication
Vercel — deployment infrastructure
Claude API (Anthropic) — AI layer; strong prompt engineering skills required
TypeScript — used throughout the codebase