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 magazine's Best Small Workplaces™ List.

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 magazine's Best Small Workplaces™ List.

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. You'll have a direct hand in shaping the platform that underpins our AI products. The ideal candidate will be confident in contributing to Karbon's AI architecture in a distributed production environment, and equally skilled at designing safe, isolated environments for AI to operate within.

What you will own:

- Designing AI systems - Design, build,



and deploy AI systems that solve important customer problems and produce measurable business outcomes.
- Productionise AI - You will contribute to building our agent platform, ensuring scalability and operational efficiency.
- AI evaluation and observability - You consider metrics that measure the efficiency and reliability of our AI platform.
- Technical Decisions - Make sound technical decisions, specifically related to systems design, reliability, observability, latency, cost, safety, security, and governance.
- Collaboration - You can work in a cross-functional team with AI engineers, full stack engineers, product managers and designers.

What Sets You Apart

- Minimum 5+ years of experience in a software engineering, platforms engineering, or machine learning engineering
- Proven expertise in OCI specifications alongside hands‑on background managing secure, isolated container runtimes
- Demonstrated hands‑on experience architectural design and deployment of distributed, event-driven applications in production environments (familiarity with LangChain, OpenAI SDK, or Google ADK preferred)
- Highly proficient in Python and comfortable in multi-language systems. Experience in C# & React is highly advantageous.
- Strong stakeholder engagement and communication skills,



with the ability to translate strategic objectives into practical technical direction and execution.
- A Bachelor’s degree in Computer Science, Artificial Intelligence, Statistics, or equivalent experience is needed.

It would be advantageous if you have:

- Strong understanding of how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
- Examples of Agentic AI products you have developed and have launched to customers

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

Our Core Technology Stack

We build up-to-date, scalable software on a thoughtfully designed stack:

- Frontend: TypeScript and JavaScript across Ember (today), React, and React Native.
- Backend: .NET / C# (Web API, .NET Core) powering distributed services.
- AI Microservices: Python (FastAPI/Google ADK, FastMCP) powering our AI agents
- Data: Postgres, SQL Server with performance and integrity at scale.
- Cloud: Microsoft Azure, Vercel.
- Observability: Metrics, logging, alerting, and dashboards in Datadog — because we believe you can’t improve what you don’t measure.

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

If you care about clean service boundaries, reliable systems, and shipping with confidence — you’ll 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"

📌 Senior AI Systems Engineer (Melbourne)
🏢 Karbon
📍 Melbourne