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Role Details

Company: Toronto-based private equity firm

Industry: Private Equity / AI / Advanced Analytics

Location: Toronto, Ontario, Canada

Employment Type: Full-time

Work Arrangement: Hybrid — 4 days in-office, Monday to Thursday; remote Fridays

Salary: CA$100,000–CA$150,000

Experience: 1–5 years

Visa Sponsorship: Open to certain visa transfers, including OPT and H-1B transfers, subject to eligibility

Hiring Count: 1–2 candidates

About the Company

A private equity firm managing approximately $12B in assets, with a focused investment strategy centered on a select portfolio of businesses and active ownership. Its portfolio represents approximately 75,000 employees and $17B in revenue.

About the Role

The company is hiring an AI Engineer to build AI-powered applications, agents, retrieval systems, and data tools that support investment decisions and improve portfolio company operations.

The role sits within the AI and Advanced Analytics team, working closely with senior investors and operating teams. It is ideal for an early-career engineer who enjoys building practical AI products, taking ownership from prototype to production, and solving real business problems.

Responsibilities

• Build and deploy AI agents and applications for investment research and due diligence.

• Develop AI search and retrieval systems using internal knowledge bases and external data.

• Build and maintain data pipelines, integrations, and automation tools.

• Develop evaluation infrastructure to improve AI accuracy, reliability, and cost efficiency.

• Work with portfolio companies to implement AI solutions that improve business operations.

• Take projects from prototype through deployment and ongoing maintenance.

• Explore emerging AI technologies and identify practical business applications.

Requirements

• 1–5 years of software engineering or applied AI experience.

• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.

• Strong Python and SQL skills.

• Hands-on experience building applications with LLM APIs, including agents, tool calling, retrieval, or evaluations.

• Demonstrated ability to build and ship projects through professional work, open-source contributions, hackathons, or personal projects.

• Experience with APIs, data manipulation, and automation or web scraping tools.

• Strong communication skills and ability to work with technical and non-technical stakeholders.

• Ability to work in Toronto in-office four days per week.

Why Join?

• Work directly with senior investors and business leaders.

• Build AI applications that influence investment decisions and operations across multiple businesses.

• Join a small, high-impact AI team with significant ownership and visibility.

• Gain exposure to investment strategy and real-world business operations.

• Take projects from idea to production using modern AI technologies.

• Receive comprehensive benefits, including 100% employer-paid benefit premiums, a CA$5,000 therapy/psychology allowance, and a CA$3,000 care spending account.

• Enjoy daily lunches, gym access, additional holiday closures, and team events.

• Earn a competitive salary of CA$100,000–CA$150,000, plus a discretionary bonus.

Interview Process

The process may involve multiple interview rounds, potentially up to eight. Candidates should be prepared for a thorough assessment of technical skills, problem-solving, project experience, and communication.