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7 часов назад

Senior AI Engineer (Python)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer (Python): Building and optimizing AI-powered backend platforms with an accent on LLM orchestration, RAG architectures, and scalable API design. Focus on developing complex inference pipelines, ensuring system observability, and implementing robust multi-tenant data isolation.

Location: Must be based in Brazil or Argentina

Company

hirify.global is a software development company providing digital transformation and engineering services.

What you will do

  • Design and build scalable backend systems and microservices using FastAPI.
  • Integrate Azure OpenAI models with robust error handling and retry strategies.
  • Develop and orchestrate complex LLM workflows using LangChain and LangGraph.
  • Implement RAG architectures including retrieval, reranking, and context assembly.
  • Build observability frameworks for LLMs to monitor latency, cost, and token usage.
  • Design multi-tenant architectures ensuring strict data isolation and security.

Requirements

  • Must be based in Brazil or Argentina
  • 7+ years of professional Python development experience.
  • 2+ years of hands-on experience with machine learning and production LLM systems.
  • 3+ years of experience building backend APIs with FastAPI and async patterns.
  • Strong understanding of RAG architectures and vector databases.
  • Hands-on experience with Hugging Face and LangChain.

Nice to have

  • Experience with Azure cloud services and Azure OpenAI.
  • Knowledge of DevOps practices including Docker and CI/CD pipelines.
  • Experience with Big Data systems and ETL/ELT pipelines.
  • Familiarity with Langfuse for LLM observability.

Culture & Benefits

  • Flexible working hours and remote-first environment.
  • Access to Udemy courses for professional development.
  • Regular workshops, training sessions, and knowledge-sharing events.
  • Clear career progression paths.
  • Team-building activities, marathons, and charity initiatives.

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