1 day ago
Mexico City, MexicoSenior
Responsibilities
- Design, build, and optimize Retrieval-Augmented Generation 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 with reproducible evaluation datasets.
- Implement hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking techniques.
- Monitor retrieval performance, latency, cost, and AI system quality.
- Support scalable and responsible Generative AI solutions across legal and professional information products.
- Collaborate with cross-functional teams to improve response quality and reduce hallucinations.
Requirements
- Hands-on experience with RAG applications, including ingestion, chunking, embeddings, retrieval, reranking, and source-grounded responses.
- Strong understanding of Generative AI and LLM capabilities, limitations, hallucination mitigation, and response-quality evaluation.
- Experience designing and operating vector search solutions with 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.
- Preferred experience building AI agents or multi-step workflows with tool use, memory, and human review.
- Familiarity with Google ADK, LangChain, LiteLLM, or MCP.
- Experience with hybrid search strategies and reranking.
- Experience applying RAG or Generative AI to legal, financial, publishing, or other highly regulated content domains.
- Knowledge of LLM observability, including monitoring latency, cost, retrieval performance, and unsafe or unsupported outputs.
Benefits
- Flexible working hours.
- Wellbeing initiatives.
- Shared parental leave.
- Study assistance and sabbaticals.
- Country-specific benefits.
- Accessible hiring process with accommodation support available.
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.