Senior AI Engineer - Multi-Agent & LLM Architect

Metova; México; Presencial; MXN 1,094,000 - 1,642,000; Jornada completa

Descripción de la vacante

A leading company in Mexico is seeking an experienced AI Engineer to define and design intelligent agent architectures. The role requires 5 years in AI projects, knowledge of business data in accounting and finance, and expertise in vector stores. Responsibilities include supervising architectural solutions based on skilled agents and integrating various frameworks. The ideal candidate will work closely with product, UX, and data teams to meet business needs, applying their solid Python skills and MLOps knowledge.

Formación

• 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents.
• Experience with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.
• Practical knowledge of MCP and A2A protocols.

Responsabilidades

• Define and supervise the technical architecture of solutions based on intelligent agents.
• Implement MCP and A2A architectures for multi-agent coordination.
• Collaborate closely with multiple teams to map business needs to intelligent agent architectures.

Conocimientos

Experience in artificial intelligence projects

Fluent technical English

Experience with business data in accounting/finance domains

Experience with vector stores

Handling frameworks such as LangChain or similar

Solid command of Python

Knowledge of MLOps

Herramientas

FastAPI

Docker

Kubernetes

Descripción del empleo

A leading company in Mexico is seeking an experienced AI Engineer to define and design intelligent agent architectures. The role requires 5 years in AI projects, knowledge of business data in accounting and finance, and expertise in vector stores. Responsibilities include supervising architectural solutions based on skilled agents and integrating various frameworks. The ideal candidate will work closely with product, UX, and data teams to meet business needs, applying their solid Python skills and MLOps knowledge.