A leading company in Mexico specializing in accounting software is looking for a highly skilled AI Engineer to join the team.
The AI Engineer will 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.
The role involves implementing MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous flows within business environments.
The AI Engineer will work with the MLOps team and execution environments that enable continuous agent updating and deployment, including memory management, context, and long-term planning.
Collaboration with product, UX, data, and backend teams is essential to map business needs to intelligent agent architectures.
Requirements:
Candidates must have 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots.
Fluency in technical English is required.
Experience working with business data in domains such as accounting, finance, payroll, billing, or ERP is necessary.
Candidates should have experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.
Knowledge of handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar is essential.
Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status is required.
A solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures is necessary.
Knowledge of MLOps, including CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining is required.
Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components, is a nice to have.
Benefits:
The position offers the opportunity to work in a leading company in the accounting software industry.
The role provides a chance to work with cutting-edge technologies and frameworks in artificial intelligence.
Employees will have the opportunity to collaborate with diverse teams, enhancing their professional experience.
The company promotes continuous learning and development in the field of AI and MLOps.