Software Engineer

📋 Description

• • Join Lorikeet Software Pty Ltd, a rapidly growing company at the forefront of revolutionizing customer support with cutting-edge AI technology. We are building the most powerful customer support AI for complex businesses, including fintechs, healthtechs, marketplaces, and delivery services. Our mission is to automate the majority of support responses with transparent, customizable AI, empowering support teams to focus on managing automation and handling complex cases rather than being bogged down by high volumes of simple tickets. We aim to elevate customer support from reactive problem-solving to proactive, personalized, concierge-level service.
• • This is a unique opportunity to work alongside a technically brilliant founding team with deep experience from early members of Google's generative AI team and operational leaders from Stripe. Our broader team comprises seasoned professionals from industry giants like Canva, Atlassian, Dropbox, and Dovetail, bringing a wealth of knowledge and best practices.
• • Lorikeet is experiencing significant growth, boasting paying customers, substantial revenue, and a robust sales pipeline. We have successfully secured over USD $50 million in funding from leading venture capital firms and angel investors, including QED, Blackbird, Square Peg, and prominent industry figures such as Claire Hughes Johnson (ex-Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).
• • Our global clientele includes some of the largest and most innovative companies in their respective sectors, such as the leading telehealth provider in Australia, the largest bank for teenagers in the US, a major NFT marketplace by trading volume, and a prominent Web3 gaming company. We also serve enterprise clients processing over one million support tickets annually.
• • As a Software Engineer at Lorikeet, you will be instrumental in building a product that is genuinely innovating the customer support landscape. You will collaborate with the team to define what AI-first product development truly means in practice, shaping the UI/UX, exploring new capabilities, and designing sophisticated data models. This is a wide-open problem space where your contributions will have a direct and significant impact.
• • Your day-to-day responsibilities will involve taking ownership of challenging problems from their initial conception through to production deployment. A core aspect of your workflow will be working closely with coding agents, leveraging them as powerful development tools. You will be responsible for building the necessary tooling and feedback systems that enhance agent effectiveness. Crucially, you will apply strong engineering judgment to determine when agent-generated output is ready for shipping and when further iteration is required.
• • We foster an engineering-led culture where every team member is encouraged to engage directly with our users and contribute to building an exceptional product. Engineers are empowered to tackle complex technical challenges, define innovative solutions, and see them through to completion, increasingly through agent-assisted workflows.
• • You will be working at the technical frontier, where coding agents are integral to our development process, contributing a significant portion of our codebase. This is not a passive "push-button" approach; it demands strong engineering acumen in prompt engineering, rapid iteration, establishing robust feedback loops (including tests, linters, and context systems), and meticulously identifying and rectifying any issues missed by the agent before deployment.
• • If you have experience shipping features end-to-end using agent-based development – involving prompting, reviewing, iterating, and shipping – you will find yourself right at home in our environment.
• • We are operating at the technical cutting edge, defining what an AI-first SaaS product looks like. The UI/UX, capabilities, and data models for such products are largely uncharted territory, presenting a unique opportunity for invention and innovation.
• • The agent-related problems we are solving are pushing the boundaries beyond what is currently achievable even at major research institutions. Our technology stack is built using TypeScript, React/Remix, PrismaORM, NestJS, and Python. While familiarity with this stack is advantageous, we are confident that talented engineers can quickly adapt and learn new technologies.
• • We cultivate a warm, mature, and flexible in-person culture with a strong emphasis on low ego and high trust. We have zero tolerance for talented individuals who are difficult to work with. Our default is to collaborate in our Surry Hills office, but we embrace working efficiently and flexibly to accommodate work-life balance, particularly for team members with young families.
• • We are deeply committed to building a diverse team and strongly encourage applications from individuals from underrepresented backgrounds. We prioritize user obsession and a strong eagerness to learn over traditional academic or professional credentials.
• • We offer high compensation, high expectations, and high performance. Recognizing that engineers in Sydney are often underpaid and receive insufficient equity, we aim to match unicorn/scale-up base salaries and provide a potentially life-changing equity stake. Our team members receive the same monthly investor updates as our backers, reinforcing their role as investors and owners in the company's success.