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4 дня назад

Senior AI Researcher - Emerging Risks & Opportunities

130 000 - 180 000CAD
Формат работы
onsite
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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TL;DR
Senior AI Researcher - Emerging Risks & Opportunities (AI/RAG): Developing AI-native research methodologies and data pipelines that quantify company and portfolio exposure to structural themes, with an accent on retrieval-augmented generation, agentic architectures, and investment signal generation. Focus on designing evaluation pipelines, measuring output quality across multi-step workflows, and translating research prototypes into scalable production systems.

Location: Toronto, Canada

Salary: $130,000–$180,000 CAD per year, plus eligibility for an annual bonus

Company

hirify.global provides research-based data, analytics, and indexes that help institutional investors understand risks and opportunities across global financial markets.

What you will do

  • Design research methodologies that quantify portfolio exposure to structural themes such as AI disruption, climate change, geopolitics, and supply chain disruption.
  • Research public and private companies using financial filings, earnings transcripts, news, press releases, supply chain networks, patent filings, and hiring data.
  • Implement transparent retrieval-augmented generation and agentic pipelines for investment research.
  • Build evaluation pipelines, regression tests, and quality measurement approaches for multi-step LLM workflows.
  • Collaborate with engineering teams to turn research prototypes into scalable, production-ready systems.
  • Prototype emerging agentic and reasoning techniques and codify methodologies into reusable prompt and taxonomy configurations.

Requirements

  • 5+ years of experience building LLM systems for text analysis, information extraction, or document classification.
  • Deep familiarity with knowledge retrieval, RAG, and AI agent architecture.
  • Strong Python programming skills and experience with agentic orchestration and LLM application frameworks such as LangGraph or LlamaIndex.
  • Experience designing prompts and decision rules that translate analytical frameworks into executable LLM pipelines.
  • Experience applying AI methodologies to investment research and converting unstructured data into measurable investment signals.
  • Experience developing evaluation methodologies that measure quality and consistency across multi-step agentic workflows.

Culture & Benefits

  • Transparent compensation and comprehensive benefits tailored to the work location.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • High-performance culture focused on innovation, experimentation, and ownership.
  • Global network of colleagues and access to orientation and continuous learning programs, including AI Learning Center and LinkedIn Learning Pro.
  • Professional development through internal mobility, expanded roles, and multi-directional career paths.
  • Inclusive environment supported by eight Employee Resource Groups.

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