AI Architect

AI/RAG Engineer (25167) "Full-stack GenAI application engineer" someone who has actually shipped a RAG product end-to-end, not just called an LLM API. search for "RAG," "semantic search," "FastAPI," "embeddings" + product shipping experience Hands-on with the full RAG pipeline: chunking strategy, embedding model selection, retrieval tuning, reranking, summarization able to speak to trade-offs at each stage Application layer strength: FastAPI, JWT/auth, API Gateway patterns, plus MongoDB/R

Graph AI Platform Engineer "Specialist, different skill tree entirely" Look for: this is not a GenAI generalist role don't try to fill it with the same candidate pool as the other two. search for "Neo4j," "TigerGraph," "knowledge graph," "GNN" treat as a distinct niche search, not a GenAI keyword search Deep graph database expertise: Neo4j and/or TigerGraph in production, GSQL or equivalent query languages Graph ML background: GNNs, DGL or PyTorch Geometric, graph embeddings/representati