Responsibilities
- Set technical direction and own architecture for major parts of the product and platform.
- Build solutions for reliability at millions-of-tickets scale, AI-agent evaluation and quality systems, and foundational systems used by other engineers.
- Design tooling, guardrails, and feedback loops for effective coding-agent workflows across the team.
- Lead ambiguous, high-stakes projects from blank page to production across the stack.
- Improve other engineers through design reviews, mentorship, and example-setting in code.
Requirements
- 10+ years of experience shipping software, including staff- or principal-level engineering experience at a company with high engineering standards.
- Experience setting technical direction for a product or platform and taking responsibility for the resulting outcomes.
- Experience leading ambiguous, high-stakes projects across the stack from inception through production.
- Ability to use coding agents as a core development workflow and form opinions on how teams should use them.
- Knowledge of TypeScript, React/Remix, PrismaORM, NestJS, or Python is welcomed but not required because the company expects strong engineers to learn the stack quickly.
Benefits
- Flexible working hours and a low-ego, high-trust culture.
- Significant scope, ownership, and upside at an early-stage Series A company.
- Leadership reviews performance every six weeks, with promotions occurring when employees are ready.
- Unrestricted access to AI tools, including Claude Code, with no usage limits.
- The whole company travels to Hawaii twice a year.
- A recruitment process consisting of informal conversations followed by a paid approximately two-day work trial.
- The role is based in Lorikeet's New York office, with teams spanning the US, UK, and Sydney.
Tech Stack
Categories
About Lorikeet
Lorikeet is a platform that complex and regulated businesses use to provide their customers with a universal concierge. Lorikeet does this with AI agents that work across voice, chat and email. The agents are built on a unique architecture that focuses on flexibility and the ability to take actions to solve customers’ problems (not just tell them to self serve) in the most challenging circumstances. Our customers include global FinTech, HealthTechs, crypto marketplaces, and other complex businesses. They chose Lorikeet because 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, nor 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.