AI Engineer

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 specializing in accounting software is looking for a highly skilled AI Engineer to join the team.

REQUIREMENTS

• 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots.
• Fluent technical English.
• Experience working with business data in domains such as accounting, finance, payroll, billing, or ERP.
• Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.

KNOWLEDGE AND SKILLS

• Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar.
• Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status.
• Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
• Knowledge of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining.
• Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components (Nice to Have).

RESPONSIBILITIES

• Define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs, integrating tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks.
• Implement MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous flows within business environments.
• Work with the MLOps team and execution environments that enable continuous agent updating and deployment, including memory management, context, and long-term planning.
• Collaborate closely with product, UX, data, and backend teams to map business needs to intelligent agent architectures.