AI Platform Engineer

What youll actually do

This isnt a traditional senior engineering role. You wont spend most of your time writing product features. Youll spend it building the system that writes them.

Right now your time will split roughly:

• 50% building agent workflows - requirement interpretation code generation review and deployment pipelines
• 50% reviewing and improving outputs - identifying failure modes and feeding those learnings back into the system

This ratio shifts over time as the agents improve. Your job is to make that shift happen. This means youll:

• Design agentic workflows that take a requirement from spec to production
• Review agent output with a critical eye to catch the quality issues that automated checks miss
• Identify failure patterns and turn them into system-level improvements
• Maintain and evolve the platform (TypeScript serverless architecture shared codebase)
• Work closely with product to reduce the ambiguity agents struggle with

Qualifications :

This role requires strength in two areas equally:

1. Systems thinking for agent workflows. You can design feedback loops identify where pipelines fail and build the scaffolding (steering files review gates prompt structures) that makes agents reliable.
2. Engineering Taste. You look at agent-generated code and immediately know whether its good not just does it work but does it match the conventions is it the simplest solution would I approve this PR. This requires deep experience shipping production software. You cant judge quality youve never produced yourself.

What we need from you

• Strong TypeScript and React experience in production environments
• Youve shipped real software to real users not just prototypes so you understand the difference between code that works and code thats production-ready
• You can read a codebase and quickly identify its patterns conventions and architecture
• Comfort working in ambiguity as youll help define what good looks like in this space

Nice to have: AWS serverless experience (CDK Lambda DynamoDB)

Who this role is not for

Be honest with yourself:

• If you want to spend most of your time building features directly this role will frustrate you. The whole point is to automate yourself out of the direct build loop.
• If youre excited about AI but havent shipped production software you wont have the taste to judge agent output. The judgment comes from experience.
• If you prefer clearly defined roles stable scope and established best practices this environment wont be a match.

The team and company

This role is part of a team of 34 engineers reporting to a hands-on CTO. The entire company is going all-in on this model not just engineering. Sales marketing support are all building agentic workflows for their functions. This isnt a side experiment its our operating model.

Additional Information :

Were guided by trust respect and ownership. Our values Embrace Change Carte Blanche Find Wisdom in Data and We All Own It shape how we work.

• Were fully remote so you can work from anywhere in Australia
• 5 weeks annual leave and flexible working - we believe in balance
• Monthly Wellness Budget to help you stay healthy mentally & physically
• Employee share options (ESOP) for all team members - we truly all own it

How to apply

To start your application with us submit your CV via the application form. Note that background checks are required as part of our offer process.

We welcome applications from all backgrounds abilities and identities. We value diversity and believe that it enhances our creativity innovation and overall success. Join us in creating a workplace where everyone can thrive.

Remote Work :

Yes

Employment Type :

Full-time