AI Search & Knowledge Graph Engineer (RAG / LLM Systems)

Key Responsibilities

• Develop and enhance AI-powered semantic search capabilities, including natural-language query understanding and contextual response generation.


• Design and implement retrieval-augmented generation pipelines (RAG/GraphRAG), including vector embeddings and semantic indexing.


• Build and maintain graph database models and queries using Neo4j (Cypher) or equivalent technologies.


• Integrate LLM services (e.g., Azure OpenAI) via secure and scalable APIs.


• Develop backend services using Node.js, TypeScript, or similar frameworks.


• Support SQL-based reporting, analytics, and data extraction across SQL Server, MySQL, or Oracle.


• Design and maintain ETL workflows for data ingestion, normalization, and enrichment across multiple content sources.