AI Platform Engineer (Remote in AU)

This isnt a traditional senior engineering role. You wont spend most of your time implementing product features directly.

Your time will roughly split:

• 50% building and evolving agent harnesses: orchestration toolchains approvals secure execution managed agents
• 50% reviewing and improving outputs: tracing failures improving prompts/steering tightening eval harnesses reducing loop count

Concretely youll:

• Design and implement agentic workflows that take a requirement from spec code review deploy
• Build agentic loops that turn mistakes into system-level improvements (not one-off fixes)
• Develop evaluation harnesses (offline CI) to detect regressions in behavior not just tests in code
• Define and maintain review gates (human-in-the-loop automated reviewers) for risky changes
• Improve tool reliability: schemas typed tool interfaces retries timeouts safety checks
• Build platform capabilities for managed agents: long-running sessions checkpoints state/memory boundaries and recovery
• Evolve the platform architecture (TypeScript serverless architecture shared codebase) with an eye for simplicity and maintainability
• Partner with Product to reduce ambiguity and translate intent into testable evaluable spec

Qualifications :

This role requires strength in two areas equally:

1. Systems thinking for agent harnesses and loops. You can design the execution harness around agents: feedback loops evaluation strategy safety constraints and the glue code that makes autonomy safe in production.
2. Engineering taste. You can look at agent-generated code and immediately judge: conventions simplicity correctness maintainability security. Not just does it work but would I approve this PR in a regulated product

What we need from you

• Strong TypeScript and React experience in production environments
• Youve shipped real software to real users (not just prototypes)
• You can read a codebase and quickly identify its patterns conventions and architecture
• You are comfortable working in ambiguity and turning fuzzy intent into clear acceptance criteria evals
• Familiarity with agent tooling concepts: tool calling MCP/tool integration guardrails evals tracing/observability and permissioning
• Nice to have: AWS serverless experience (CDK Lambda DynamoDB). Our backend is a mix of modern serverless microservices and a legacy Express/PostgreSQL monolith.

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
• If youre excited about AI but havent shipped production software you wont have the taste to judge agent output
• If you prefer stable scope established best practices and minimal ambiguity this environment wont be a match

The team and company

Youll join a small team (34 engineers) reporting to a hands-on CTO. The company is going all-in on this model not just engineering sales marketing and 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.

• Fully remote (work from anywhere in Australia)
• 5 weeks annual leave and flexible working
• Monthly Wellness Budget (mental & physical health)
• Employee share options (ESOP) for all team members

How to apply

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