Agentic Systems Intern (Graduate Level)
NascentToronto, ONPosted 18 April 2026
Job Description
Agentic Systems Intern (Graduate Level)
THE OPPORTUNITY
As an Agentic Systems Intern, you’ll own real business problems and design systems that solve them — not through manual execution, but through autonomous agents that operate at scale. This is not a prototyping role. You will identify high-leverage operational challenges, design solutions, and deploy agent-driven systems that meaningfully improve how the business runs — across speed, cost, and decision-making. You’ll operate at the intersection of strategy, operations, and engineering — turning ambiguous problems into production systems that drive measurable outcomes.
You'll architect and ship agents end-to-end: define the problem space, design multi-agent orchestration patterns with shared persistent state, build the tooling and memory layers that let agents compound intelligence over time, and iterate based on real production usage. You’ll work across the full stack of agent infrastructure — from intent classification and context assembly to feedback synthesis and tool integration — building systems that define problems clearly, drive decisions, and execute reliably in real-world business workflows.
You'll work closely with operators and engineers to identify where agentic leverage exists, then drive solutions forward. You'll operate with autonomy, but not in isolation — our team provides context, feedback, and support as you build. When something is unclear, you bring clarity. When something breaks, you move to fix it.
Strong interns don't just complete projects — they build systems that become part of how we operate. The best turn that into a full-time role.
This opportunity is fully remote and operates within +/- 3 hours of EST.
WHAT YOU’LL DO & LEARN
- Identify high-impact operational bottlenecks and design agent-driven systems that eliminate manual work and improve speed, accuracy, and scalability
- Design, build, and deploy agent-driven systems for key workflows (talent, onboarding, internal tooling) — ensuring adoption and real impact on how the business runs
- Own the full lifecycle of a business-critical system — from problem definition to deployment — and drive measurable improvements in performance (e.g., time saved, cost reduced, throughput increased)
- Quantify the impact of what you build — translating system improvements into business outcomes (efficiency gains, cost savings, or revenue enablement)
- Work closely with internal users to ensure what you build is trusted, used, and embedded into daily workflows
- Document what you build so it scales across the team — not just for you, but for others to reuse and extend
ABOUT YOU
- You think in terms of leverage and impact — not just what can be built, but what should be built
- You’re comfortable translating ambiguous business problems into structured solutions
- You care about ROI — time saved, cost reduced, or outcomes improved
- You think in systems — inputs, outputs, feedback loops, and where things break
- You can operate in ambiguity and make progress — you don’t need everything defined to get started
- You take ownership of your work and move problems forward, pulling in others when it helps you get to a better result
- You learn quickly across domains — technical, operational, or wherever the problem is
- You build with iteration in mind — ship, observe, improve, repeat
PREFERRED EXPERIENCE
- MBA student or recent graduate with prior engineering or technical experience — or equivalent hybrid background combining technical depth and business thinking
- You’ve experimented with designing multi-tier agent memory architectures (persistent, episodic, and learned knowledge layers) and orchestrating multi-agent systems with shared state, feedback loops, and compounding intelligence over time.
- You’ve found your way into building with technology — through school, projects, or a self-directed path — and can point to things you’ve shipped
- You’ve experimented with LLMs, agents, or a ... (truncated, view full listing at source)
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