AI Engineer

<p></p><p>A leading company in Mexico specializing in accounting software is looking for a highly skilled AI Engineer to join the team.</p><p>REQUIREMENTS:</p><ul> <li>5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots.</li> <li>Fluent technical English.</li> <li>Experience working with business data in domains such as accounting, finance, payroll, billing, or ERP.</li> <li>Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.</li> <li> </li></ul><p><strong>KNOWLEDGE AND SKILLS:</strong></p><ul> <li>Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar.</li> <li>Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status.</li> <li>Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.</li> <li>Knowledge of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining.</li> <li>Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components (Nice to Have).</li> </ul><p></p><p><strong>RESPONSABILITIES:</strong></p><ul> <li>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.</li> <li>Implement MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous flows within business environments.</li> <li>Work with the MLOps team and execution environments that enable continuous agent updating and deployment, including memory management, context, and long-term planning.</li> <li>Collaborate closely with product, UX, data, and backend teams to map business needs to intelligent agent architectures.</li> </ul>