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AI Engineer at Metova

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Autonomous Agents, Co-Pilots, Technical English, Business Data, Vector Stores, RAG Architectures, LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, Python, FastAPI, MLOps, Docker, Kubernetes

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

The AI Engineer will define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs. They will collaborate with various teams to map business needs to intelligent agent architectures and implement multi-agent coordination.