AI Engineer Sr.

Job Description

• Skill Set : Python,LLM,Langchain,LlamaIndex,AI driven SDLC tooling,(LangChain,or similar)
• Total Experience : 5.00 to 10.00 Years
• No of Openings : 1
• Job Post Date : 08/06/2026
• Job Expiry Date : 31/08/2026
• Domain : IT
• Location : MEXICO CITY [Mexico]
• Job Reference No : 4082810

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Job Summary

AI Engineer Mid/ Senior

Build the GenAI powered product experiences and the shared AI platform infrastructure that powers them. This includes RAG pipelines over the iHerb catalog and customer reviews, LLM driven personalization, a conversational Wellness Agent, agentic workflow systems, and the evals and MLOps layer that makes AI features production grade and repeatable. Specializations within this track include: RAG and personalization, agent frork and tool use, evals and guardrails, and LLM application development for internal business functions such as marketing automation and BI agents.

What you will do:

• Design, build, and operate production AI features: RAG pipelines, LLM driven recommendations, conversational agents, or agentic workflow automation.
• Build the shared AI platform layer: retrieval infrastructure, eval frameworks, model monitoring, guardrails, and observability.
• Write LLM applications and integrations with marketing platforms, BI tools, or customer facing product surfaces.
• Evaluate model and feature quality using structured eval frameworks; iterate on prompts, retrieval strategies, and model selection using data.
• Use AI driven SDLC tooling such as Claude Code as a daily practice for both AI and non AI code.
• Coordinate with the Personalization team to align GenAI product features with existing ML personalization signals.
• Document AI system design decisions, evaluation results, and operational lessons in the shared knowledge base.

Track specific required skills:

• Python proficiency; comfortable building and operating production LLM applications.
• Hands on experience with at least one specialization: RAG and retrieval systems, LLM evaluation, agentic frameworks (LangChain, LlamaIndex, or similar), or LLM based workflow automation.
• Understanding of prompt engineering, context window management, and LLM output quality tradeoffs.
• Familiarity with vector databases, embedding models, or semantic search.

Track specific Nice to have skills:

• Experience with e commerce platforms, product catalogs, or high traffic consumer applications.
• Exposure to MLOps tooling or model deployment pipelines.
• Experience working in distributed teams across the US, China, and Latin America.

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