Lead AI Engineer

About Karbon

Karbon is the global leader in practice management software for growth-minded accounting firms. We provide an award-winning highly collaborative cloud platform that streamlines work and communication enabling the average accounting firm using Karbon to save 18.5 hours per week per employee.

We have customers in 34 countries and have grown into a globally distributed team with our people based throughout the US Australia New Zealand Canada the United Kingdom and the Philippines. We are well-funded ranked #1 on G2 have a fantastic team culture built on our values are growing rapidly and making a global impact.

About this role and the work

We are seeking innovative Lead AI & ML engineers who thrive in a fast paced environment. You will have the unique opportunity to take on greenfield projects within a supported team backed by executive level investment.

Karbon is at the start of its AI journey. You will have the opportunity to shape our product and processes. The successful candidate will be capable of designing implementing and maintaining AI models in a distributed production environment. You will be expected to be able to develop bespoke AI solutions (Not just using LLMs!) to automate workflows generate insights and create efficiencies for our users.

Some of your main responsibilities will include:

• Designing AI systems - you know how to analyse problems and apply machine learning to solve them
• Machine learning and AI development - you will be expected to develop a wide range of machine learning applications.
• Model evaluation and selection - You look beyond the basic evaluation metrics and consider wider impacts.
• Productionise AI - You own the process past deployment by owning production monitoring.
• 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.

About you

If youre the right person for this role you have:

• 7 years of experience developing and deploying AI/ML solutions
• Experience in a tech lead role (architectural decision making completing tech designs coaching junior engineers)
• Strong proficiency in LLM development and previous experience building autonomous agents (ADK LangGraph Agents SDK etc.)
• Strong proficiency in Python and relevant ML frameworks (Sklearn Pytorch Tensorflow spaCy etc.)
• Strong understanding of traditional machine learning techniques (linear/logistic regression randomForest GBM etc.)
• Strong understanding of the machine learning development lifecycle including MLOps deployment and monitoring
• A Bachelors degree in Computer Science Artificial Intelligence Statistics or equivalent experience is needed (Masters or PhD advantageous).

It would be advantageous if you have:

• Experience developing and maintaining data pipelines (Snowflake DBT etc)
• Previous experience in backend software development (in particular C#)
• Previous experience in Azure is advantageous

Why work at Karbon

• Gain global experience across the USA Australia New Zealand UK Canada and the Philippines
• 4 weeks annual leave plus 5 extra Karbon Days off a year
• Flexible working environment
• Work with (and learn from) an experienced high-performing team
• Be part of a fast-growing company that firmly believes in promoting high performers from within
• A collaborative team-oriented culture that embraces diversity invests in development and provides consistent feedback
• Generous parental leave

Karbon embraces diversity and inclusion aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If youve made it this far in the job description but your past experience doesnt perfectly align we do encourage you to still apply. You could still be the right person for the role!

We recruit and reward people based on capability and performance. We dont discriminate based on race gender sexual orientation gender identity or expression lifestyle age educational background national origin religion physical or cognitive ability and other diversity dimensions that may hinder inclusion in the organization.

Generally if you are a good person we want to talk to you.

If there are any adjustments or accommodations that we can make to assist you during the recruitment process and your journey at Karbon contact us at for a confidential discussion.

At this time we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!