Senior AI Scientist - RAG & Agentic LLMs

RELX; Ciudad de México; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

LexisNexis Legal & Professional, part of RELX, is seeking a Senior II Data Scientist to lead AI initiatives leveraging LLMs, RAG, and agentic AI systems. You will translate complex business needs into scalable, production-ready software and collaborate with product managers and domain experts.

You will design architectures for data ingestion, retrieval, generation, and evaluation, and drive end-to-end project lifecycles from experimentation to deployment, while optimizing performance with robust

Formación

• 2 to 5 years of experience in Data Scientist or similar roles.
• Hands-on experience building RAG-based applications and agentic AI systems (≥1 year).
• Ability to design end-to-end AI solution architectures (data ingestion, retrieval, generation, evaluation).

Responsabilidades

• Lead the end-to-end lifecycle of AI projects (LLMs, RAG, agentic workflows) from problem definition to deployment.
• Monitor, evaluate and optimize AI system performance using metrics and experimentation frameworks.
• Partner with product managers and stakeholders to translate business needs into scalable AI solutions.
• Contribute directly to software development as an individual contributor.
• Design and implement scalable AI solution architectures (data ingestion, retrieval, generation, evaluation).
• Build and enhance RAG-based applications and AI-powered products.
• Collaborate across teams to solve information retrieval and NLP challenges.
• Support continuous improvement of AI systems through experimentation and testing.

Conocimientos

Python

NLP

English communication

RAG architectures

Agentic AI systems

Cloud-based development

Production software practices

LLMs

Herramientas

LangChain

Google ADK

Vector search

Retrieval

Descripción del empleo

LexisNexis Legal & Professional, part of RELX, is seeking a Senior II Data Scientist to lead AI initiatives leveraging LLMs, RAG, and agentic AI systems. You will translate complex business needs into scalable, production-ready software and collaborate with product managers and domain experts.

You will design architectures for data ingestion, retrieval, generation, and evaluation, and drive end-to-end project lifecycles from experimentation to deployment, while optimizing performance with robust