AI Automation Engineer Co-op

Later•Vancouver, BC

18h•Hybrid

About The Position

We're looking for an AI Automation Engineer Co-op to embed with teams across Later and help replace manual, repetitive work with AI-powered tooling. This is a hands-on role at the intersection of building and learning: you'll contribute directly to automations that create real business impact across Operations, Finance, Marketing, Customer Success, and beyond while being supported and coached throughout. You'll work closely with Later's AI Automation team and get direct exposure to how AI tools, APIs, and no-code platforms come together to solve real workflow problems across Later's three lines of business (Later Influence, Later Social, and Mavely). If you're curious about applied AI, love tinkering with new tools, and want to leave a term with a portfolio of things you actually shipped, this is the role for you.

Requirements

Currently enrolled in a Computer Science, Software Engineering, Data Science, or related program, or equivalent practical experience.
Some experience building with code (Python, JavaScript, C# or similar) and comfort picking up new tools quickly.
Curiosity about AI and automation: you've experimented with LLMs, prompt design, or no-code tools and want to go deeper.
A bias toward action: you'd rather ship something imperfect and learn from it than wait for a perfect plan.
Strong written and verbal communication skills, you can explain a technical idea to someone who doesn't code.
Comfort with ambiguity: you can make progress on a loosely defined problem without needing every detail up front.

Nice To Haves

Familiarity with APIs, scripting, or automation tools (Zapier, Make, n8n, or similar) is a bonus.
Any experience with data: pulling it, cleaning it, and reasoning about what it means, is a plus.

Responsibilities

Shadow and interview non-technical stakeholders across Operations, Finance, Marketing, and Customer Success to understand their day-to-day workflows.
Help identify repetitive, manual tasks that are strong candidates for automation.
Contribute to translating fuzzy workflow problems into clear, scoped technical solutions with guidance from the team.
Build working automations and internal tools using AI-native platforms, APIs, and no-code and low-code tools.
Ship v1 prototypes quickly so stakeholders can validate value before investment grows.
Wire together LLMs, agents, and prompt design patterns with existing systems to deliver real workflow outcomes.
Iterate on automations based on stakeholder feedback and real-world use.
Write clear documentation so automations can run unattended and teammates can understand what was built.
Contribute to error handling and basic monitoring so automations recover gracefully.
Help maintain a library of reusable templates, prompt patterns, and integration examples.
Support working sessions and lightweight training that helps non-technical colleagues understand and use the automations you build.
Collaborate with engineers, operations teammates, and other stakeholders to deliver solutions that work in practice.
Share what you learn openly, contributing to Later's growing citizen-developer community.