AI Engineer

Metova; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm is looking for a highly skilled AI Engineer to define and implement cutting-edge solutions using intelligent agents and LLMs. This full-time position requires solid expertise in artificial intelligence, Python, and collaborative work with product and UX teams. Ideal candidates would have experience in business data domains such as accounting or finance and be capable of integrating various frameworks seamlessly.

Qualifications

• 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots.
• Practical knowledge of MCP and A2A protocols.
• Familiarity with MLOps including CI/CD.

Responsibilities

• Define and supervise the technical architecture of intelligent agents.
• Implement MCP and A2A architectures for multi-agent coordination.
• Collaborate with product and UX teams to align business needs.

Skills

Experience in artificial intelligence projects

Fluent technical English

Experience with business data in accounting/finance domains

Handling frameworks like LangChain, LlamaIndex

Solid command of Python

Tools

FastAPI

Docker

Kubernetes

Job description

Overview

A leading company in Mexico specializing in accounting software is looking for a highly skilled AI Engineer to join the team.

Qualifications

• 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)

Responsibilities

• 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• IT Services and IT Consulting