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4 дня назад

AI Engineer (LLM)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
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

AI Engineer (LLM/Python): Designing and deploying production-ready LLM applications for industrial maintenance with an accent on RAG systems, robust APIs, and intelligent information retrieval. Focus on building conversational interfaces, optimizing OCR workflows, and ensuring system reliability via fallback mechanisms.

Location: Remote (São Paulo, Brazil)

Company

hirify.global transforms the industrial world by fusing cutting-edge hardware with software to empower frontline maintenance workers.

What you will do

  • Design and develop user-facing applications powered by large language models.
  • Create and maintain high-performance APIs that integrate LLMs with the company platform.
  • Implement retrieval-augmented generation (RAG) systems for enhanced information access.
  • Build intelligent document processing workflows using OCR and LLM technologies.
  • Develop conversational interfaces that solve practical problems for industrial users.
  • Collaborate with product teams to define technical specifications and requirements.

Requirements

  • 1-4 years of experience in software engineering with a focus on backend development.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Demonstrated experience building applications that utilize large language models.
  • Strong proficiency in Python and web frameworks like FastAPI, Flask, or Django.
  • Experience designing, building, and maintaining production REST APIs.
  • Working knowledge of relational databases, SQL, and LLM orchestration tools such as LangChain or LangGraph.

Nice to have

  • Experience with LLM fine-tuning and model optimization techniques.
  • Knowledge of containerization and microservices architecture.
  • Experience with OCR and document processing technologies.
  • Understanding of performance optimization for AI applications.

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