Maincode Tech Stack

AI infrastructure and model systems for production deployment

Software Development Melbourne, VIC 2–10 employees Privately Held

Maincode is a 2–10-person AI research and engineering team in Melbourne building production-scale infrastructure for large language models. The stack reveals a deep ML systems focus: PyTorch, JAX, CUDA, Triton, and NCCL for training; Ollama and Claude integration for inference; React + Tailwind for interfaces. Projects span model training pipelines, experiment management, and deployment systems, while pain points center on scaling reliability, training throughput, and bridging research to production—a technical depth uncommon for a team this size.

Tech Stack 19 technologies

Core StackPython PyTorch Figma React Tailwind CSS Docker Ollama Cursor GitHub JAX CUDA Triton NCCL shadcn/ui Claude Notion Motion MPI ROCm

What Maincode Is Building

◆Challenges

Lack of stable prior experience
Continuous evolution of training regimes
Improving model learning speed
Optimizing input signal quality
Scaling model to live production
Improving front end performance
Building internal dashboards
Scaling large scale training reliability
Optimizing training throughput
Improving reliability and observability

▲Active Projects

Ai model factory infrastructure
Production-scale ai datacentre systems
Prototype new model architectures
Experiment management tooling
Training pipelines for large language models
Inference systems for real-world deployment
Modelops practices
Ai residency program
Extend design system with new ui primitives
Prototype interfaces for new ai interaction models

Hiring Activity

Steady15 roles · 4 in 30d

Department

Engineering

Research

Data

Design

Seniority

Mid

Junior

Senior

Principal

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About Maincode

Maincode develops AI infrastructure, model training systems, and inference platforms for production deployment. The company operates as a research-engineering hybrid with balanced hiring across ML engineering, research, data, and design roles. Active work includes building datacentre-scale training infrastructure, designing experiment management tooling, and prototyping new model architectures and interaction interfaces. All hiring is currently concentrated in Australia.

HeadquartersMelbourne, VIC

Company Size2–10 employees

Hiring MarketsAustralia

Frequently Asked Questions

What is Maincode's tech stack?

PyTorch, JAX, CUDA, Triton, NCCL for ML training; Ollama for model deployment; React, Tailwind CSS, shadcn/ui for frontend; Docker, Claude, GitHub for tooling and collaboration.

What is Maincode working on?

Production-scale AI datacentre systems, model training pipelines for large language models, inference deployment infrastructure, experiment management tooling, and new AI interaction interface prototypes.