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19 часов назад

Mid AI Engineer (GenAI)

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

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TL;DR
Mid AI Engineer (GenAI): Designing, building, and deploying production ML and LLM-based systems for enterprise clients with an accent on RAG pipelines, agentic workflows, fine-tuning, and cloud deployment. Focus on owning technical delivery from architecture and prototyping through monitoring and iteration, optimizing system reliability, and mentoring junior ML engineers.

Location: 100% remote; work from wherever with no mandatory office days.

Company

hirify.global is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients, including Fortune 500 companies and fast-growing unicorns, using AWS, GCP, and Azure.

What you will do

  • Design, build, and deploy production ML and LLM-based systems, including RAG pipelines, agentic workflows, fine-tuning, and embeddings.
  • Own technical delivery end-to-end, from architecture and prototyping through deployment, monitoring, and iteration.
  • Translate client business needs into scoped, shippable technical solutions with engineering and product stakeholders.
  • Mentor junior ML engineers through code reviews, technical guidance, and knowledge sharing.
  • Shape internal best practices, tooling, and technical standards, and represent hirify.global in client workshops and optional industry conferences.

Requirements

  • 2+ years of professional experience in Machine Learning, AI Engineering, or a related role for the Mid-level track; 5+ years for the Senior track.
  • Strong hands-on Python skills and experience writing clean, efficient, well-documented, production-quality code.
  • Experience independently designing, training, optimizing, and deploying ML models using tools such as PyTorch, TensorFlow, or Scikit-learn.
  • Experience building GenAI and LLM systems, including RAG pipelines, chatbot architectures, and applications using tools such as LangChain.
  • Familiarity with MLOps and production ML practices, including model versioning, monitoring, and CI/CD for ML workflows.
  • Experience deploying and scaling ML systems on AWS, GCP, or Azure.
  • Strong performance optimization and debugging skills, including diagnosing complex issues and improving system reliability and efficiency.

Nice to have

  • Experience working with stakeholders or clients.

Culture & Benefits

  • 100% remote work with no mandatory office days.
  • Fully funded AWS and GCP professional certifications.
  • High-impact ML and GenAI projects across diverse industries and international client organizations.
  • Supportive, fast-growing environment with autonomy, open communication, and continuous learning.
  • Urban Sports Club membership, monthly Bolt credits, and regular company events and offsites.

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