Senior AI Production Engineer — Remote (Australia)

Aionix

Sydney

Remote

AUD 130,000 - 190,000

Full time

3 hours ago
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Job summary

Aionix seeks a Senior AI Software Engineer in Australia who will own the end-to-end AI development lifecycle, from messy experiments to production-grade agents. You’ll shape how we evaluate, instrument, and deploy intelligent systems for enterprise scale, directly influencing product strategy with the Founder/CTO and CPO.

You’ll bring 7+ years of engineering experience, a track record of production AI, and a strong ability to articulate technical trade-offs while shipping customer-focused

Qualifications

  • 7+ years of engineering experience, with production AI delivery preferred.
  • Experience shipping AI systems to production and handling real enterprise data.
  • Ability to design and defend evaluation, observability, and release gates for agents.
  • Instrumenting what you ship: tracing, cost per run, failure modes, and measurable outcomes.
  • Ambiguity is accepted; you thrive building specs while coding.

Responsibilities

  • Own the full AI development loop from experimentation to production-grade agents.
  • Define how we prove agents work, including evaluation gates and instrumentation.
  • Address customer problems with a product mindset, focusing on real human friction.
  • Collaborate directly with the Founder/CTO and CPO, reporting without layers.

Skills

Product-minded builder
Ownership mindset
Strong opinions, clear communication
Team collaboration
Customer/problem focus
Ambiguity tolerance

Tools

Python
TypeScript/Node.js
LangChain/LangGraph/LangSmith
AWS Lambda
API Gateway
ECS
S3
Bedrock
Textract

Job description

Aionix seeks a Senior AI Software Engineer in Australia who will own the end-to-end AI development lifecycle, from messy experiments to production-grade agents. You’ll shape how we evaluate, instrument, and deploy intelligent systems for enterprise scale, directly influencing product strategy with the Founder/CTO and CPO.

You’ll bring 7+ years of engineering experience, a track record of production AI, and a strong ability to articulate technical trade-offs while shipping customer-focused

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