Location
Remote (Argentina, Colombia, Chile, Ecuador, El Salvador, Peru)
Employment
Contractor
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026. Metova scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Metova is a custom software and AI product development company based in Bentonville, Arkansas, with a second hub in Guadalajara, Mexico, building mobile apps, websites, connected hardware systems and AI features for clients such as SiriusXM and TruGreen. Founded in 2006, it says it has worked with more than 200 brands and delivered apps with over 250 million downloads, with engineers spread across 21 US states. Through its Metova Talent recruiting arm in Guadalajara it also fills vacancies for Mexican client companies, so its board lists B2B sales representatives, drivers, seamstresses and kitchen staff alongside data engineers, test engineers and recruiters.
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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