Senior AI Engineer - LLMs, RAG & Agentic Workflows (Hybrid)

LexisNexis; United States; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

LexisNexis Legal & Professional is seeking a Senior II Data Scientist in Mexico City to lead AI projects using LLMs, RAG, and agentic workflows. You will work with product managers and domain experts to translate business needs into scalable, production-ready AI solutions.

The role emphasizes end-to-end solution architecture, embedding retrieval, and AI performance analytics, with a hybrid work approach requiring commuting to the Reforma office.

Qualifications

• 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 and explain end-to-end AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
• Strong proficiency in Python, LangChain, and cloud-based development with production AI practices.
• Experience working with NLP, document processing, search, or 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.
• Strong communication skills in English, including the ability to explain technical concepts to different audiences.
• Willing to commute to our Reforma office for a hybrid work schedule.

Responsibilities

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

Skills

Python

NLP

English communication

Cloud-based development

End-to-end AI solutions

Tools

LangChain

Google ADK

Job description

LexisNexis Legal & Professional is seeking a Senior II Data Scientist in Mexico City to lead AI projects using LLMs, RAG, and agentic workflows. You will work with product managers and domain experts to translate business needs into scalable, production-ready AI solutions.

The role emphasizes end-to-end solution architecture, embedding retrieval, and AI performance analytics, with a hybrid work approach requiring commuting to the Reforma office.