Назад
Company hidden
6 дней назад

Gen AI Engineer (AI)

80 000 - 90 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Gen AI Engineer (AI): Building prompt-based workflows and LLM integrations for automated data annotation, localization, and human evaluation with an accent on accuracy, cultural alignment, and scalable production systems. Focus on designing prompt strategies, evaluating model reliability and bias, and integrating AI models into data pipelines.

Location: Remote - Canada

Salary: $80,000–$90,000 CAD per year, based on experience, skills, and qualifications.

Company

hirify.global is a global data engineering company providing data, evaluation frameworks, human expertise, and platforms for generative AI and AI builders.

What you will do

  • Design, develop, and implement prompts for data labeling, localization, translation, and human evaluation workflows.
  • Prototype and validate AI models, identify automation opportunities, and translate business requirements into scalable AI solutions.
  • Collaborate with Product, Data Science, Operations, linguists, localization experts, clients, and other stakeholders.
  • Analyze model performance using KPIs and evaluation metrics, improving accuracy, reliability, linguistic consistency, and cultural relevance.
  • Collaborate on data pipelines and production workflows that integrate LLMs into automated annotation systems.
  • Create prompt usage guidelines and training materials, and communicate technical findings to technical and non-technical audiences.

Requirements

  • At least 2 years of experience in prompt engineering, LLM fine-tuning, or related AI/ML roles.
  • Deep understanding of LLMs, including transformer-based architectures, evaluation metrics, reliability, bias, and generalizability.
  • Strong Python expertise for natural language understanding, data processing, transformation, and statistical analysis.
  • Experience automating data annotation, classification, localization, and labeling tasks programmatically with LLMs.
  • Experience with data pipelines, cloud platforms, containerization, model deployment, APIs, and production integrations.
  • Knowledge of JSON, JavaScript or XML, and familiarity with TensorFlow, PyTorch, Jupyter, OpenAI, Hugging Face, or comparable tools.

Nice to have

  • Familiarity with annotation and human-in-the-loop platforms such as Labelbox.
  • Knowledge of localization best practices and cultural nuances across languages and regions.

Culture & Benefits

  • Remote work from Canada.
  • Opportunity to contribute to AI systems designed for responsible advancement and trusted large-scale use.
  • Work on data annotation, evaluation, localization, and generative AI solutions for global technology customers.

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