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2 дня назад

Senior AI Engineer (GenAI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
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
Senior AI Engineer (GenAI): Designing and deploying production-grade ML and LLM systems for enterprise clients with an accent on RAG pipelines, agentic workflows, fine-tuning, and scalable cloud deployment. Focus on owning technical delivery from architecture and prototyping through monitoring, optimizing system reliability, and mentoring ML engineers.

Location: Remote worldwide; work from wherever with no mandatory office days

Company

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

What you will do

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

Requirements

  • 5+ years of professional experience in machine learning, AI engineering, or a related role.
  • Strong Python skills and experience writing clean, efficient, well-documented, production-quality code.
  • Independent experience 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 with tools such as LangChain.
  • Familiarity with MLOps practices, model versioning, monitoring, and CI/CD for ML workflows.
  • Experience deploying and scaling ML systems on AWS, GCP, or Azure, plus strong debugging and performance optimization skills.

Nice to have

  • Experience working directly 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 clients.
  • Supportive, autonomous environment with open communication and continuous learning.
  • Urban Sports Club membership, monthly Bolt credits, and regular company events and offsites.

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