Associate 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 magazines Best Small Workplaces List.

Associate AI Engineer

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. Youll have a direct hand in shaping both our product and the processes that power it. The ideal candidate will be confident contributing to Karbons 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 (Qualifications)

• 1-3 years of experience developing and deploying AI/ML solutions
• Experience working with LLMs (RAG Chaining MCP etc)
• Proficiency in Python and relevant ML frameworks (Sklearn Pytorch Tensorflow spaCy etc.)
• Good understanding of traditional machine learning techniques (linear/logistic regression randomForest GBM etc.)
• Familiarity with machine learning development lifecycles
• 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 in agentic frameworks (ADK LangGraph Agent SDK etc.)
• Previous MLOps experience
• Experience developing and maintaining data pipelines (Snowflake DBT etc)
• Previous experience in backend software development (in particular C#)
• Knowledge of deep learning architectures
• Experience deploying machine learning models to complex production environments (Previous experience with Azure is advantageous)

Ideal for engineers who thrive in structured environments complex domain systems and enterprise-scale reliability challenges.

Our Core Technology Stack

We build modern scalable software on a thoughtfully designed stack:

• Frontend: TypeScript and JavaScript across Ember (today) React and React Native.
• Backend: .NET / C# (Web Core) powering distributed services.
• Data: SQL Server with performance and integrity at scale.
• Cloud: Microsoft Azure.
• Observability: Metrics logging alerting and dashboards in Datadog because we believe you cant improve what you dont measure.

Our architecture continues to evolve as we scale. We invest in event-driven systems well-defined microservices and containerized deployments (Azure Container Apps) to build resilient decoupled and high-performing software.

If you care about clean service boundaries reliable systems and shipping with confidence youll feel right at home here.

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!