The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.
A leading company in Mexico specializing in accounting software is looking for a highly skilled AI Engineer to join the team.
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.
- Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.
KNOWLEDGE AND SKILLS:
- Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar.
- Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status.
- Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
- Knowledge of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining.
- Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components (Nice to Have).
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.
Top Skills
Asyncio
Autogen
Chroma
Crewai
Docker
Fastapi
Kubernetes
Langchain
Llamaindex
Pinecone
Pydantic
Python
Semantic Kernel
Weaviate
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The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
