Senior AI Engineer at Karbon

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Machine Learning, Data Management, Collaboration, Python, MLOps, Model Evaluation, AI Systems Design, Traditional Machine Learning Techniques, LLM Development, Backend Software Development, Data Pipelines, Azure, Production Monitoring, Tech Leadership

Industry

Software Development

Description

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 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 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!

Responsibilities

Design and implement AI systems to solve problems and develop machine learning applications. Collaborate with cross-functional teams to maintain data pipelines and monitor production AI models.