RAG AI Engineer: Retrieval & Grounded GenAI

RELX; México; Presencial; MXN 520.000 - 940.000; Jornada completa

Descripción de la vacante

LexisNexis Legal & Professional, part of RELX, is seeking an AI Engineer focused on Retrieval-Augmented Generation to design, build, and optimize AI-powered experiences for our legal and professional information products.

You will work with state-of-the-art AI technologies, ensure source-grounded results, and collaborate with cross-functional teams to improve response quality while maintaining responsible AI practices.

Formación

• Hands-on experience with Retrieval-Augmented Generation (RAG) applications.
• Strong understanding of Generative AI and LLM capabilities, limitations, hallucination mitigation, and response-quality evaluation.
• Experience designing and operating vector search solutions using Qdrant, Pinecone, pgvector, LanceDB, OpenSearch vector search, or equivalent technologies.
• Ability to validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets.

Responsabilidades

• Design, build, and optimize Retrieval-Augmented Generation (RAG) applications.
• Develop and manage document ingestion, chunking, embedding generation, retrieval, reranking, and source-grounded response workflows.
• Design and operate vector search solutions using modern vector database technologies.
• Validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets.
• Collaborate with cross-functional teams to improve response quality and reduce hallucinations.
• Implement hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking techniques.
• Monitor and evaluate retrieval performance, latency, cost, and AI system quality.
• Support the development of scalable and responsible Generative AI solutions across legal and professional information products.

Conocimientos

RAG applications

LLM capabilities

Evaluation datasets

Retrieval systems

Latency optimization

Herramientas

Qdrant

Pinecone

pgvector

LanceDB

OpenSearch vector

Descripción del empleo

LexisNexis Legal & Professional, part of RELX, is seeking an AI Engineer focused on Retrieval-Augmented Generation to design, build, and optimize AI-powered experiences for our legal and professional information products.

You will work with state-of-the-art AI technologies, ensure source-grounded results, and collaborate with cross-functional teams to improve response quality while maintaining responsible AI practices.