AI Engineer
Maincode is building an AI model factory. We’ve built Matilda, Australia’s first large language model trained entirely from scratch, and we’re developing new reasoning architectures beyond LLMs. We design and train models from first principles, deploy them at scale, and push the limits of what can be built here in Australia.
As an AI Engineer, you’ll help make this possible. You’ll work on both sides of the stack: how models are trained, and how they run in the world. You’ll design and build systems for large-scale training and efficient inference, collaborating closely with AI Researchers to turn new ideas into production-grade systems.
This is a deep engineering role. You’ll write a lot of code, instrument distributed systems, optimise performance, and debug the complex, messy edge cases that come with large-scale model training and deployment.
What you’ll do
Build and scale training pipelines for large language models and other architectures
Design and optimise inference systems for real-world deployment
Improve data pipelines, tokenisation, and distributed training across multi-node clusters
Build observability into training and inference to improve speed, efficiency, and correctness
Diagnose and resolve distributed training and GPU-related issues
Work closely with AI Researchers to translate cutting-edge algorithms into robust systems
Establish ModelOps practices for reliability, reproducibility, and continuous improvement
Who you are
Deeply interested in how models are built, trained, and run
Curious about model internals, training dynamics, and system performance
Comfortable working across both training and inference stacks
Skilled in Python and frameworks like PyTorch or JAX (familiarity with CUDA, Triton, or NCCL is a plus)
Hands-on, persistent, and motivated by solving hard problems
Constantly learning: reading papers, exploring repos, or experimenting with new tools
Excited to help shape the next generation of Australian AI capability
Why Maincode
We’re a small, focused team building advanced AI systems from the ground up. We run our own GPU clusters, train our own models, and collaborate closely across research and engineering to move fast and build real capability.
You’ll work with people who:
Care about how models actually work, not just what they output
Build things that run at scale
Value curiosity, rigour, and craftsmanship
Want to help Australia develop world-class AI systems