AI Engineer

Posted Yesterday
5 Locations
Remote
Senior level
Information Technology • Mobile • Software
The Role
Design and supervise technical architectures for intelligent agents and LLMs, implement MCP and A2A multi-agent flows, integrate vector stores and RAG, collaborate with MLOps for continuous deployment, memory and context management, and work with product, UX, data, and backend teams to align solutions with business needs.
Summary Generated by Built In

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.

Skills Required

  • 5 years of experience in artificial intelligence projects
  • 2 years in the implementation of autonomous agents or co-pilots
  • Fluent technical English
  • Experience with business data in accounting, finance, payroll, billing, or ERP domains
  • Experience with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures
  • Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel
  • Practical knowledge of MCP and A2A protocols, tool use, memory management, and conversation state
  • Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures
  • Knowledge of MLOps practices: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining
  • Experience with Golang, Java, or C# (.NET) for high-performance components
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The Company
HQ: Franklin, TN
81 Employees
Year Founded: 2006

What We Do

Metova is a privately held leading technology company creating custom world-class mobile, web, and Internet of Things technology services for customers looking to respond to a disruption in their industry or looking to make waves as the disruptor. We build amazing things for companies that disrupt and innovate, have been building custom software solutions since 2006, and can help anyone do the same. We help companies transform their business through technology to meet the growing expectations of the customers they have and the customers they want. By helping identify their needs, we can define and build the experiences they expect, align with business goals to streamline workflows, and increase revenues while delighting customers.

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