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19 часов назад

AI Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US/Australia +1 еще
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 (AI): Designing, building, and deploying AI-driven applications and machine learning solutions with an accent on LLMs and production-grade AI systems. Focus on implementing RAG pipelines, fine-tuning models, and developing scalable backend APIs.

Location: Fully remote

Company

hirify.global connects exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia in sectors like SaaS, MarTech, FinTech, and AI.

What you will do

  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and optimize AI tools using OpenAI, Claude, Gemini, or open-source LLMs.
  • Develop scalable APIs and backend services to support AI applications.
  • Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  • Integrate AI solutions into web platforms, CRMs, and existing business systems.
  • Monitor AI model performance, reliability, and scalability in production environments.

Requirements

  • 3+ years of experience in AI engineering, machine learning, or software engineering.
  • Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
  • Hands-on experience with LLMs, generative AI tools, and prompt engineering.
  • Familiarity with vector databases, embeddings, and RAG architectures.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Understanding of MLOps, model deployment, and monitoring workflows.

Culture & Benefits

  • Competitive salary based on experience and location.
  • Fully remote role with a flexible work environment.
  • Opportunity to work on cutting-edge AI automation projects with real business impact.
  • Strong growth potential into senior AI or systems roles.
  • Exposure to the latest LLMs and scalable AI system design.
  • Direct collaboration with a fast-moving, high-performance team.

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