LexisNexis Legal & Professional is seeking an AI Engineer focused on Retrieval-Augmented Generation to design, build, and optimize RAG applications for source-grounded, trustworthy information in legal and professional tech.
You will work with vector databases like Qdrant, Pinecone, or OpenSearch vector search, develop ingestion and embedding workflows, and collaborate across teams to improve response quality while reducing hallucinations.