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3 дня назад

Senior Staff Software Engineer (AI)

151 000 - 189 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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 Staff Software Engineer (AI): Driving the architecture and productionization of secure, scalable AI/ML and LLM services across Diligent's governance, risk, and compliance SaaS platform with an accent on AWS Serverless, search, semantic retrieval, and RAG capabilities. Focus on evaluating emerging AI technologies, designing fault-tolerant infrastructure, scaling OpenSearch and vector search systems, and guiding architecture across multiple Platform AI teams.

Location: Vancouver, British Columbia, Canada. Hybrid work model with onsite attendance at least 50% of the time for employees within commuting distance of a hirify.global office.

Salary: CAD 151,000–189,000 per year.

Company

hirify.global provides AI-enabled governance, risk, and compliance SaaS solutions through the hirify.global One Platform.

What you will do

  • Drive technical direction and architecture for ML and LLM systems across multiple Platform AI teams.
  • Design secure, scalable, fault-tolerant, event-driven AWS Serverless solutions with strong observability and infrastructure as code.
  • Evaluate and prototype LLM frameworks, model providers, and agentic tooling to support build-versus-buy decisions.
  • Design, build, and scale OpenSearch, semantic search, vector search, and retrieval-augmented generation systems.
  • Partner with Applied Scientists and Product teams to move AI capabilities from research prototypes into production systems.
  • Mentor Staff Engineers and Applied Scientists, lead architecture discussions, and guide teams through ambiguous technical problems.

Requirements

  • 10–15+ years of experience developing and operating high-scale, secure cloud applications, including Staff-level work across multiple teams.
  • Strong Python skills with pandas, NumPy, and scikit-learn, applying SOLID design principles.
  • Experience with AWS infrastructure as code, including CDK, Terraform, CloudFormation, or similar tools.
  • Hands-on experience with LLMs, prompt engineering, fine-tuning, model evaluation, and RAG-based functionality.
  • Experience with OpenSearch or Elasticsearch, semantic search, and vector embeddings.
  • Demonstrated mentorship of senior or Staff-level engineers and experience across the full AI solution lifecycle.

Nice to have

  • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Mathematics, or a related field.

Culture & Benefits

  • Flexible work environment with a hybrid collaboration model.
  • Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
  • Global days of service and support for diversity, employee resource groups, and professional education.
  • International office hubs across North America, Europe, Asia, and Australia.
  • Visa sponsorship may be available for select positions based on business needs and role requirements.

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