This is a Senior AI Engineer role with Karbon based in Canberra, ACT, AU
== Karbon ==
Role Seniority - senior
More about the Senior AI Engineer role at Karbon
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, Senior 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 chance 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 you’re the right person for this role, you have:
- 5+ 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 Bachelor’s 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 you've made it this far in the job description but your past experience doesn't 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 don’t 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 people.support@karbonhq.com 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!
Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Karbon team will be there to support your growth.
Please consider applying even if you don't meet 100% of what’s outlined
Key Responsibilities
- Designing AI systems
- Machine learning and AI development
- Collaboration
Key Strengths
- Experience in AI/ML solutions
- Proficiency in Python
- Understanding of MLOps
- Data pipeline development
- ⚙️ Backend software development
- ☁️ Experience in Azure
Why Karbon is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.
A Final Note: This is a role with Karbon not with Hatch.