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3 дня назад

AI Engineer

Формат работы
remote (только Ecuador/Colombia/Argentina)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Argentina/Chile/Colombia +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer (LLM/Autonomous Agents): Designing and implementing intelligent-agent and LLM solutions for accounting software with an accent on multi-agent architectures, RAG, and agent deployment. Focus on MCP and A2A coordination, long-term memory and planning, and integrating asynchronous Python services with product, UX, data, and backend teams.

Location: Remote from Ecuador, Colombia, Argentina, Chile, Peru, or El Salvador

Company

Accounting software company operating in Mexico.

What you will do

  • Define, design, and supervise technical architectures for intelligent-agent and LLM-based solutions using LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks.
  • Implement MCP and A2A architectures for multi-agent coordination and autonomous business workflows.
  • Collaborate with MLOps on execution environments for continuous agent updating and deployment, including memory, context, and long-term planning.
  • Translate business needs into intelligent-agent architectures with product, UX, data, and backend teams.

Requirements

  • 5 years of experience in artificial intelligence projects, including 2 years implementing autonomous agents or copilots.
  • Fluent technical English.
  • Experience with vector stores and RAG architectures.
  • Knowledge of LangChain, LlamaIndex, AutoGen, CrewAI, or similar frameworks.
  • Strong Python skills and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
  • Experience leading collaboration and technical discussions across product, UX, data, and backend teams.

Nice to have

  • Experience with business data in accounting, finance, payroll, billing, or ERP domains.

Culture & Benefits

  • Remote contract position available from the listed Latin American countries.
  • Cross-functional collaboration with product, UX, data, backend, and MLOps teams.

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