Forward Deployed Engineer Intern

About the role

ABOUT US

Lorikeet is redefining what customer support looks like — and we're just getting started.

We build AI that handles complex, high-volume support for fintechs, healthtechs, marketplaces, and delivery services. Not chatbot-tier AI. The kind that actually resolves tickets, gives support teams their time back, and raises the bar for what software can do.

We're backed by over $50M USD from QED, Blackbird, and Square Peg, with backing from operators like Claire Hughes Johnson (ex-Stripe COO) and Cristina Cordova (Linear COO), plus founders of Canva, Atlassian, and Airwallex. We're the first company since Canva to be funded at early stage by all three of Australia's top VC funds — which tells you something about the calibre of people who've looked closely at what we're building and said yes.

Our customers include some of the largest telehealth, fintech, and marketplace companies in the US and Australia — many handling over a million support tickets a year. The problems are real, the scale is real, and the work matters.

If you want to build something that genuinely changes how businesses and customers interact — this is the place.

About the role

Our Forward Deployed team works between our customers and our product. They take a customer’s whole support operation (the tickets, the systems, the policies) and turn it into AI agents that resolve real customer queries in production.

As an FDE intern, you’ll be part of that team from day one, not on a side project. The workflows you build will go live and handle real conversations for some of the largest fintech and healthtech companies in the US and Australia. You’ll have close support from the team and real ownership of the work you take on.

Day to day, you’ll:

- Dig into customers’ support tickets and data to find where AI can fully resolve queries, and where it can’t yet

- Build, test, and refine AI workflows from first draft through to production

- Help connect workflows to customer systems through APIs, and test integrations before they go live

- Join customer calls, share what you’ve found, and own defined parts of an implementation

- Use Claude Code and other AI tools to speed up analysis, build internal tooling, and improve how the team works

You’ll leave knowing how AI agents are deployed end to end at scale in regulated industries. You’ll also have hands-on skills in workflow design, API integrations, testing and evaluation, and LLM fundamentals, and experience turning a customer’s messy real-world problem into a working solution.

We’d love to talk if you

- Are curious and learn fast. You pick up new tools quickly and enjoy figuring things out.

- Are technically confident. You don’t need to be a software engineer, but you’re comfortable reading API docs and working with data.

- Sweat the details. You notice when something’s off, ask good questions, and follow through.