Senior AI Scientist: LLMs & RAG (Flexible Hours)

LexisNexis; Ciudad de México; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

LexisNexis Legal & Professional in Mexico City seeks a Senior II Data Scientist to lead AI solution development using LLMs, RAG, and agentic workflows. You will collaborate with product managers and domain experts to translate business needs into production-ready AI systems that scale across our platforms.

You will contribute directly to software development, design robust architectures, and drive continuous innovation while delivering high-quality AI solutions for legal and professional

Formación

• 2 to 5 years of experience in Data Scientist or similar roles.
• At least 1 year of hands-on experience building RAG-based applications and agentic AI systems.
• Ability to design end-to-end AI solution architectures including data ingestion, retrieval, generation, and evaluation components.
• Strong proficiency in Python, modern AI frameworks, cloud-based development, and software engineering best practices for production AI systems.
• Experience with NLP, document processing, search, recommendation systems, or related information retrieval problems.
• Familiarity with embeddings, vector search, and retrieval mechanisms.
• Ability to evaluate AI system performance and diagnose issues related to answer quality, retrieval, hallucinations, or model behavior.
• Experience implementing agentic workflows and multi-agent architectures.
• Proven ability to work with Product and stakeholders to understand business needs and translate them into scalable AI solutions.
• Strong communication skills in English.

Responsabilidades

• Lead the end-to-end lifecycle of AI projects (LLMs, RAG architectures, agentic workflows) from problem definition to deployment and improvement.
• Monitor, evaluate and optimize AI system performance using metrics, feedback, and experiments.
• Partner with product managers, domain experts, and stakeholders to prioritize opportunities and communicate tradeoffs.
• Contribute to software development as an individual contributor.
• Design and implement scalable AI solution architectures including data ingestion, retrieval, generation, and evaluation components.
• 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

LangChain

AI frameworks

Cloud development

NLP

Information retrieval

Embeddings

Vector search

Agentic workflows

Multi-agent architectures

English communication

Herramientas

LangChain

Google ADK

Descripción del empleo

LexisNexis Legal & Professional in Mexico City seeks a Senior II Data Scientist to lead AI solution development using LLMs, RAG, and agentic workflows. You will collaborate with product managers and domain experts to translate business needs into production-ready AI systems that scale across our platforms.

You will contribute directly to software development, design robust architectures, and drive continuous innovation while delivering high-quality AI solutions for legal and professional