Software Engineer

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.

What's unique about this opportunityTechnical founders and an engineering-led culture. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers take on challenging problems, define solutions, and ship them — end to end, increasingly through agent-assisted workflows.

We build at the frontier. Coding agents are central to how we work — they're doing a meaningful share of our coding. That doesn't mean pushing a button and shipping whatever comes out. It means exercising strong engineering judgment: knowing how to prompt well, iterate fast, set up the right feedback loops (tests, linters, context systems), and catch what the agent missed before it hits production.

If you've built features end-to-end through agent conversation — prompting, reviewing, iterating, shipping — you'll feel at home here.

On the technical cutting edge. With our users, we're defining what an AI-first SaaS product looks like. No one has figured out the UI/UX, capabilities, and data models of an AI-first company — it's white space for us to invent. The agent problems we're solving go beyond the cutting edge at the biggest research labs. Our stack is TypeScript, React/Remix, PrismaORM, NestJS, and some Python.

Knowledge of the stack is nice; we know good engineers pick things up fast.

Warm, mature, in-person, flexible culture. Low ego, high trust. No tolerance for talented jerks. We default to working together in our Surry Hills office. People on the team have young families, so we embrace working efficiently and flexibly to fit life outside of work.

We're committed to building a diverse team and strongly encourage people from underrepresented backgrounds to reach out — we value user obsession and eagerness to learn over traditional credentials.

About the role

You'll be building something that's genuinely innovating the world of customer support. Together we'll be defining what AI-first product development looks like in practice — the UI/UX, the capabilities, the data models. It's a wide open problem space.

Day to day, you'll take ownership of hard problems from idea to production. That means working closely with coding agents as a core part of your workflow, building the tooling and feedback systems that make them effective, and bringing the engineering judgment to know when the output is ready to ship — and when it isn't.

• We'd love to talk if you
• Have 2–5 years of experience shipping code at a startup or company with high engineering standards
• Are excited to work with a top-calibre team on genuinely novel AI problems
• Are comfortable working with coding agents as a core part of how you build — not just as autocomplete, but as a real development workflow
• Are looking for a career-defining opportunity to grow rapidly with a fast-moving company
• If you're from an underrepresented background and don't tick every box, please reach out anyway!
• We know firsthand that diverse teams perform better, and we're proud that our team reflects a broad spectrum of identities and lived experiences.

How we hireOur process: an informal chat with the team to share our vision and understand your goals and then a paid two-day work trial where you come in and ship with us. There's no better way to figure out if we work well together than to actually work together.