AI Engineer at Karbon

At Karbon, we are proud to be the global leader in practice management software designed specifically for growth-minded accounting firms. Our award-winning cloud platform fosters high levels of collaboration, helping our customers streamline their communication and work processes. In fact, the average accounting firm using our software saves 16 hours per employee every week. With a presence in 34 countries and a globally distributed team spanning the US, Australia, New Zealand, Canada, the UK, and the Philippines, we are a well-funded, rapidly growing organization. We are currently ranked #1 on G2, and we are looking for passionate individuals to join our team as we continue to make a meaningful global impact.

About the Role

We are seeking a Senior AI Engineer to join us on a full-time basis. This is an exciting opportunity to help shape our product and internal processes as we embark on our AI journey. In this role, you will be responsible for designing, implementing, and maintaining AI models within a distributed production environment. You will go beyond basic LLM implementation to develop bespoke AI solutions that automate workflows, generate valuable insights, and drive efficiency for our users.

Key Responsibilities

• Design and Develop AI Systems: You will analyze complex problems and apply machine learning techniques to build a wide range of effective applications.
• Productionize and Monitor: You will take ownership of the full lifecycle, including model evaluation, deployment, and ongoing production monitoring.
• Collaborate on Data Infrastructure: You will work closely with data engineers, analysts, and full-stack developers to build and maintain robust data pipelines.

Requirements

To be successful in this role, you should bring the following qualifications and skills:

• At least 3 years of professional experience in developing and deploying AI and machine learning solutions.
• Strong proficiency in Python and relevant frameworks such as PyTorch, TensorFlow, Sklearn, or spaCy.
• A solid understanding of traditional machine learning techniques, including logistic regression, random forests, and GBM.
• Comprehensive knowledge of machine learning development lifecycles and experience deploying models to production.
• A Bachelor’s degree in Computer Science, Artificial Intelligence, Statistics, or a related field, though a Master’s or PhD is considered an advantage.

Location

This position is based in Australia and requires an on-site presence.

Compensation and Benefits

We are committed to supporting our team members through a variety of perks designed to promote balance and professional growth:

• Flexible hours to help you manage your work-life balance.
• Generous paid time off, including 4 weeks of annual leave plus 5 additional Karbon Days per year.
• Comprehensive maternity and paternity leave policies.
• The opportunity to work with and learn from a high-performing, global team in a fast-growing company that values internal promotion.