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.
Summary
Design and supervise technical architecture for intelligent agent and LLM solutions, implementing MCP and A2A architectures and collaborating with product, UX, data, and backend teams. Requires 5 years of AI project experience, 2 years building autonomous agents or copilots, fluent technical English, and Python with FastAPI, asyncio, and Pydantic.
Responsibilities
Define, design, and supervise technical architecture for intelligent agent and LLM solutions; implement MCP and A2A architectures; work with MLOps on deployment and memory; collaborate with product, UX, data, and backend teams
Qualifications
5 years in AI projects; 2 years implementing autonomous agents or copilots; fluent technical English; experience with vector stores and RAG; experience leading cross-team technical discussions
Experience requirements
5 years of experience in artificial intelligence projects; 2 years implementing autonomous agents or co-pilots; experience with vector stores and RAG architectures; leading collaboration across product, UX, data, and backend teams