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AI Solutions Engineer, Agentic Automation

Northleaf Capital Partners · Toronto, ON

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect deep dives on agentic systems (tools, memory, evals), reliability/safety for finance data, stakeholder scoping, and how you’d automate mid-office or research workflows without inventing risk. Prepare concise stories of production automation and failure recovery.

Fit summary

Best fit for engineers who can translate private-markets process needs into robust agentic automation, not pure research. Toronto-based, non-remote. Strong if you enjoy client-facing technical delivery inside investment operations.

Day in the role

As an AI Solutions Engineer for agentic automation at Northleaf Capital Partners, a typical day centers on designing and shipping agent-style workflows that support private-markets operations—scoping use cases with investment and ops stakeholders, wiring tools and data into reliable harnesses, testing failure modes, and documenting handoffs so automation stays audit-friendly in a regulated finance setting.

Skills to emphasize

Build software + agent fundamentals with free resources:

FAQ from this listing

Is this role remote?

No—the listing is for Toronto, ON with remote flagged as off-site not available.

What does Northleaf focus on?

Public coverage points to private markets work such as mid-market secondaries, multi-asset private markets funds, and infrastructure-related financings.

What should I study first?

Start with free software foundations (freeCodeCamp, Saylor, CS50, Microsoft Learn), then practice building agent workflows with clear evaluation and handoff patterns.

Company facts (cached)

Website: privateequityinternational.com

Public cache only — not an employee review.

Role overview (listing rewrite)

Join Northleafcapitalpartners in Toronto, ON as a full-time AI Solutions Engineer, Agentic Automation, where you will design intelligent agent systems that automate complex workflows and deliver practical AI outcomes for the business. About This Position The AI Solutions Engineer, Agentic Automation role sits at the intersection of applied artificial intelligence and enterprise process design. Based in Toronto, ON, this full-time position focuses on turning agentic AI concepts into reliable, production-ready automation that teams can depend on day to day. You will partner with stakeholders to understand operational needs and translate them into agent-driven solutions that improve efficiency and decision quality across real business scenarios. Responsibilities Design, build, and refine agentic AI systems that automate multi-step business processes Prototype AI agents capable of tool use, planning, and reliable task completion across workflows Integrate large language models and agent frameworks with internal systems and APIs Analyse existing operations to identify high-value opportunities for agentic automation Collaborate with engineering, product, and domain experts to keep solutions accurate, secure, and maintainable Evaluate emerging agent frameworks, orchestration patterns, and evaluation methods for quality and safety Document architectures, prompts, agent behaviours, and operational runbooks so others can own and extend the work Support continuous improvement of deployed agents through monitoring, testing, and iterative refinement Qualifications Solid experience engineering AI solutions, with hands-on work involving large language models or autonomous or semi-autonomous agents Proficiency in Python or comparable languages used for AI prototypes and production services Working knowledge of agentic patterns such as tool calling, multi-agent coordination, planning loops, and retrieval-augmented approaches Familiarity with workflow automation, API integration, and connecting models to real enterprise systems Ability to translate ambiguous business problems into clear technical designs for agent-based automation Strong communication skills for engaging both technical colleagues and non-technical stakeholders Practical understanding of evaluation, guardrails, and responsible deployment of AI agents in production settings Degree in computer science, engineering, or a related field, or equivalent professional experience delivering AI solutions Working at Northleafcapitalpartners Northleafcapitalpartners is hiring for this role and offers a supportive team environment. As AI Solutions Engineer, Agentic Automation in Toronto, ON, you will contribute to…

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Questions to ask them

Generated for personal interview prep · 2026-07-17 UTC · getajob.ai