AI Engineer
Metova
$0-$0 / yr
Salary
el salvador
Region
ASAP
Start Date
About Metova
At Metova, we understand the evolving landscape of work in the digital age. We offer tailored career development services to empower talented individuals to explore diverse opportunities and nurture their skills. By going beyond key work experience and technical skills, we align your professional and personal interests to help you achieve meaningful career growth. With a flexible, positive work environment, we equip our team with the tools and resources to build cutting-edge software, while fostering continuous learning and innovation to drive both our company and clients forward.
About this 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.