Forward Deployed Engineer Intern

Posted 5 Days Ago
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Sydney, New South Wales, AUS
In-Office
Internship
Artificial Intelligence • Information Technology • Software
The Role
Build, test, and deploy AI workflows that resolve customer support queries in production. Analyze support tickets and data, identify automation opportunities, connect workflows to customer systems through APIs, test integrations, and participate in customer calls. The role provides hands-on experience with AI agent deployment, workflow design, API integrations, evaluation, and LLM fundamentals in regulated industries.
Summary Generated by Built In
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.

  • Communicate clearly with technical and non-technical people alike.

  • Are genuinely interested in AI. It’s a bonus if you’ve experimented with LLMs or built something with AI tools on your own.

What's unique about this opportunity?


A culture that's genuinely different. Low ego, high trust, no tolerance for talented jerks. We work efficiently, keep hours flexible, and actually mean it — because life outside work matters. We're committed to building a diverse team and actively encourage applicants from underrepresented backgrounds. We care far more about user obsession and eagerness to learn than traditional credentials.

A front-row seat to building something meaningful. We're Series A and moving fast. You'll have real scope to shape the product and the company — not just execute someone else's vision.

Performance recognized in real time, not on a calendar. Promotions happen when you're ready — leadership meets every six weeks specifically to identify and recognize strong performers, so you're never waiting for an arbitrary review window to move up.

We're AI-native, and we'll make you AI-native too. Every person at Lorikeet uses AI in their day-to-day work (current favourite: Claude Code), with unrestricted access and no usage limits. You'll leave with skills that matter for the next decade of work.

Twice a year, the whole company flies to Hawaii. Headquartered in Sydney, with teams spanning the US and UK — which means getting everyone in the same place is something we invest in seriously. We spend the time hacking on ideas, building things together that wouldn't otherwise exist, and making memories that remind you why you joined a startup in the first place.

A recruitment process built on respect, not hoops. We keep it simple: a couple of informal chats to share our story and hear yours, followed by a paid ~two-day work trial. The work trial is genuinely the best part — you'll work on real problems alongside the actual team, get a true feel for how we operate, and we'll both come out of it knowing whether this is the right fit. No trick questions, no take-homes that disappear into a void. Just real work, done together.

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.

Skills Required

  • Curiosity and ability to learn quickly and adopt new tools
  • Technical confidence, including comfort reading API documentation and working with data
  • Strong attention to detail and follow-through
  • Clear communication with technical and non-technical people
  • Genuine interest in artificial intelligence
  • Experience experimenting with LLMs or building projects with AI tools
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The Company
HQ: New York, NY
33 Employees
Year Founded: 2023

What We Do

Lorikeet is the best AI customer support platform for Fintechs, Healthtechs, and other complex businesses. Scaling customer support while maintaining response quality is exceptionally hard. For companies with complex support needs and a focus on customer experience, continuing to throw people at the problem doesn't work, and neither does implementing low quality "help center summary" chatbots. Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high quality and scalable support automation at a fraction of the cost of manual solutions. We can solve tickets that involve looking up data, taking actions in your systems, and making complex decisions. We work with high growth, innovative companies in fields like FinTech and HealthTech who care about the quality of their customer experience. If you're interested in talking about how AI could transform your customer support experience, drop Steve a note at steve@lorikeet cx.ai.

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