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AI Engineer

Metova · Remote
RemoteFull-timeTechnologyMid Level$102,000–$138,000/yr
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About the AI Engineer role

AI Engineer positions focus on delivering results in their domain. This page aggregates open AI Engineer roles and what employers typically expect.

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: - 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.

Salary estimate

$102,000 – $138,000/yr
Provided by the employer.

Skills for this role

PythonAccountingPayroll

Resume tips for AI Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show AI Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical AI Engineer problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About Metova

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