Karbon

Senior AI Engineer

Karbon · Melbourne, VIC, Australia

Posted 28 days ago

or apply directly on Karbon's site. We never take the application ourselves.

Is this posting real?

This role has been open
28 days
Karbon's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Karbon's roles list one
Ghost-job risk at Karbon
high
9 stale, 0 reposted of 17 open
Hiring momentum
24 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Karbon's own greenhouse board since 2026-08-03. Full hiring picture for Karbon.

About this role

As a Senior AI Engineer at Karbon, you will design, build, and deploy AI systems that address customer challenges and drive measurable business outcomes. Your role will involve experimenting with AI prototypes, contributing to end-to-end solutions, and making technical decisions across various aspects of AI systems. Collaboration with cross-functional teams will be key as you work on developing and productionizing agentic AI solutions.

Our read on this posting3.4out of 5
benefits
3/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Karbon as an employer.

What you need

  • Minimum 5+ years of experience in software engineering or machine learning engineering
  • Experience developing agentic AI solutions and deploying them to production environments
  • Highly proficient in Python and comfortable working across an AI application stack
  • Strong understanding of how to evaluate AI systems systematically
  • A Bachelor’s degree in Computer Science, Artificial Intelligence, Statistics, or equivalent experience

Nice to have

  • Experience with Langchain, OpenAI SDK, Google ADK
  • Experience with C# and React
  • Examples of Agentic AI products developed and launched to customers
  • Previous MLOps experience and platform experience with Azure
  • Previous experience with Databricks

What you get

  • 4 weeks annual leave plus 5 extra 'Karbon Days' off a year
  • Flexible working environment
  • Generous parental leave
  • Gain global experience across multiple countries
  • Collaborative, team-oriented culture that embraces diversity and invests in development

Worth weighing

  • No salary listed
  • Focus on AI systems may limit exposure to other areas of software engineering
  • Expectations for high autonomy and ownership may not suit everyone
  • Role involves working in a structured environment with complex domain systems

Summarised from Karbon's posting. Read the full original.

Listed by Karbon on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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