AI Engineer

Metova · posted Nov 2, 2026

Open to candidates in Argentina, Chile, Colombia, Ecuador, El Salvador and Peru

Contract · Senior

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What this job asks for

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Must have

  • •5 years AI project experience
  • •2 years autonomous agents/co-pilots
  • •Fluent technical English
  • •Python, FastAPI, asyncio, Pydantic
  • •Vector stores and RAG architectures
  • •Agent-to-Agent (A2A) architectures

Nice to have

  • •Experience with business data (accounting, finance, payroll, billing, ERP)

Tools and technologies

LangChain, LlamaIndex, AutoGen, CrewAI, Python, FastAPI, asyncio, Pydantic

Languages required

en

Read the full posting

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

RESPONSABILITIES:

  • 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.

Requirements

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 is a plus.
  • Experience working with vector stores and RAG architectures.

KNOWLEDGE AND SKILLS:

  • Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.
  • Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
  • Experience leading collaboration and technical discussions across product, UX, data, and backend teams.
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