AI Engineer
Ecuador · today
Design, supervise and implement LLM-based intelligent agent architectures, including MCP and A2A multi-agent coordination, and deploy them with the MLOps team. Collaborate with product, UX, data and backend teams to map business needs to agent solutions.
- Workplace
- Remote
- Seniority
- Senior
- Experience
- 5+ years
Skills
About the 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. Originally posted on Himalayas
Posted Nov 9, 2026