AI Engineer Private equity firm Toronto, Canada C$100k to C$150k CAD base a year Posted yesterday

raydar

Toronto

Hybrid

CAD 100,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Health, dental and vision coverage

Job summary

Raydar in Toronto is seeking an AI Engineer to develop LLM-based software tools for business teams, taking prototypes through to live, supported products. You will build search over internal documents and datasets, create data pipelines, and maintain evaluation tooling while staying current with new AI models and practices.

The role emphasizes delivering AI-driven improvements, collaborating with operations and leadership, and thriving in a hybrid environment with a strong emphasis on practical

Qualifications

  • 1–4 years of professional software or AI experience.
  • Undergraduate studies in a technical or quantitative subject such as computing, engineering or statistics.
  • Hands-on creation evidenced by released software, public code, competitions, or a visible repo.
  • Experience building applications on LLM APIs, including agents, tool use, retrieval and evaluations.
  • Fluency with AI coding tools and ability to review and own output.
  • Strong Python and SQL skills; familiarity with service interfaces, data-wrangling packages and workflow scripting.
  • Strong communicator who can work with technical and non-technical colleagues.

Responsibilities

  • Develop LLM-based software tools that help business teams review and assess opportunities quickly.
  • Collaborate with operations staff and leadership to ship AI-driven improvements.
  • Move work from prototype to live, supported product with coding, testing and release.
  • Build and maintain search over internal documents and datasets (rule-based + AI-driven).
  • Create data pipelines from internal and external sources.
  • Build and maintain evaluation tooling to keep AI systems accurate and cost-effective.

Skills

Python
SQL
LLM APIs
Retrieval & evaluation
Data wrangling
Workflow scripting
Strong communicator

Education

Undergraduate degree in computing/engineering/statistics

Tools

LLM tooling

Job description

# AI EngineerPrivate equity firm* LocationToronto, Canada* TypeFull-time* Posted27 October 2026Apply for this roleThe role, as published## About the companyOur client is a private equity firm.## The roleRaydar is recruiting for this role on behalf of our client. This position centers on building and releasing software that uses AI, carrying early prototypes through to live, supported systems. It suits an early-career engineer with solid programming fundamentals who enjoys applying technology to business questions.## What you'll do* **Develop LLM-based software tools** that help business teams review and assess opportunities more quickly.* Collaborate with operations staff and the leadership of affiliated businesses to ship AI-driven improvements.* Carry work from an early prototype through to a live, supported product, including coding, testing and release.* **Build and maintain search** capabilities over internal documents and datasets, mixing rule-based and AI-driven retrieval.* **Create data pipelines that feed internal tools**, drawing on internal and external sources.* **Build and maintain evaluation** tooling to keep AI systems accurate, reliable and cost-effective.* Keep up with new models, tools and engineering practices and apply the useful ones pragmatically.## What we're looking for* Roughly one to four years of professional experience in software development or applied AI; more seasoned candidates are also considered.* Completed undergraduate studies in a technical or quantitative subject such as computing, engineering or statistics.* Evidence of hands-on creation, whether through released software, public code contributions, competition projects or a visible repository.* Experience building applications on LLM APIs, including agents, tool use, retrieval and evaluations.* Fluency with AI coding tools, with the judgment to review and take ownership of their output.* Strong Python and SQL skills.* Practical familiarity with service interfaces, data-wrangling packages and workflow scripting.* Strong communicator who can work with both technical and non-technical colleagues.* Curious, detail-oriented and self-directed, with sound judgment and humility.## Bonus points* Experience with TypeScript and React.* Experience with cloud platforms, data platforms and infrastructure-as-code tools.* Experience at leading consulting firms or technology companies.* Experience in a fast-paced startup environment.## Benefits* Health, dental and vision coverage## Location and work model* Toronto, Ontario, Canada* Hybrid: 4 days in-office, Monday to Thursday, with one remote day per week* Full-timePayC$100k to C$150kCAD base a yearApply for this roleAfter you applyWe review every applicationStrong fits are invited to a 15-minute AI interview, then our team takes it from there.
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