Posting record
First seen today
- Metova's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
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Last checked Nov 4, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 5+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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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