Senior AI Engineer

About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List. Our Engineering Standards Balance Speed and Quality Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential. Collaborate Effectively Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments. Build and Maintain Systems Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement. Operate with Autonomy A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise. Ownership and Accountability Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments. AI-Enabled Engineering AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential. Contribute to Team Culture Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration. About the Role Karbon is at the cutting edge of AI and data products, and this role puts you at the centre of that progress. You'll have a direct hand in shaping both our product and the processes that power it. The ideal candidate will be confident contributing to Karbon's AI models in a distributed production environment, and equally skilled at building bespoke AI solutions — automating workflows, surfacing insights, and creating real efficiencies for our users What you will own: Designing AI systems - you know how to analyse problems and apply machine learning to solve them Machine learning - you will be expected to develop a wide range of machine learning applications. Productionise AI - You will contribute to building end-to-end agentic solutions in our application Model evaluation and selection - You look beyond the basic evaluation metrics and consider wider impacts. Data management - Work with data engineers to build and maintain data pipelines Collaboration - You can work in a cross-functional team with data engineers, analysts and full stack developers. What Sets You Apart! If you’re the right person for this role, you have: 3+ years of experience developing and deploying AI/ML solutions Strong proficiency in Python and relevant ML frameworks (Sklearn, Pytorch, Tensorflow, spaC