Senior Full-Stack Engineer – Legal AI / RAG Platform
Tasks
- Build async document ingestion pipelines
- Design secure multi tenant SaaS architecture
- Develop document chunking and embedding workflows
- Develop in app document viewer
- Ensure auditable grounded AI outputs
- Implement RAG with citation traceability
- Implement deep linking to cited source locations
- Implement tenant isolation and access control
- Implement vector search with metadata filtering
- Integrate managed cloud services
- Integrate read only e discovery connectors
- Optimize retrieval accuracy for large document sets
- Participate in architecture decisions
- Separate ingestion retrieval and generation layers
- Write production quality well tested maintainable code
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Async Processing | Azure | Citation Traceability | Disco | Distributed Systems | Document chunking | Document ingestion | E-Discovery | Email processing | Embeddings | GCP | Knowledge graphs | LLM APIs | Metadata filtering | Multi-tenant | Multi-tenant architecture | PDF | PGVector | Pinecone | Prompt engineering | RAG | Relational databases | RelativityOne | Retrieval-Augmented Generation | Secure SaaS | Spreadsheets | Tenant Isolation | Tenant architecture | Vector Search | Weaviate | Word
Education
N/A
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