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Title: AI Engineer (RAG, Guardrails, LangChain/LangGraph) for Law Firm Intake + Knowledge Base + Drafting
Description (copy/paste):
We’re implementing AI inside a law firm platform. We need an AI engineer to build:
AI intake assistant (guided Q&A + summary + routing)
RAG knowledge base (Q&A over firm-approved documents)
Drafting assist (template-driven first drafts with guardrails)
Responsibilities
Design and implement RAG pipeline (chunking, embeddings, retrieval, reranking if needed)
Implement permissions-aware retrieval (only show docs allowed for that user/matter)
Guardrails: refusal patterns, “no legal advice,” citations to sources, safe prompts
Evaluation + test set + monitoring (quality, hallucination checks)
Integrate with the app backend (API endpoints)
Preferred
Python + FastAPI, LangChain/LangGraph, vector DB (pgvector/Pinecone/Weaviate), Postgres
Experience with production LLM systems and cost controls
Paid Trial (Required)
First 5–7 days deliver:
Working RAG...