In-Demand Software engineer – full stack Jobs in Melbourne, Vic

AI Software Engineer (Back End)
Maincode —Melbourne VIC
- Full-time
- APIs
- AI
Principal Software Engineer
Commonwealth Bank —Melbourne VIC
- Full-time
- DevOps
- Systems design
- AWS
4d
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
14d
Senior Software Engineer
Teamified —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AI
- Communication skills
Quick Apply
3d
Senior IT Engineer, LRC
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- AWS
Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Master's degree
- AWS
- Software development
1d
Senior Full Stack Developer
LAB3 —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick Apply
8d
Staff Software Engineer - Payments (Crypto & Fiat)
Easygo —Melbourne VIC
- Full-time
- Computer science
- Azure
- Computer Science
- Employee assistance program
Quick Apply
C++ and C#/.Net - Senior Tech Lead
The Argyle Network —Melbourne City Centre VIC
- $150,000 a year
- Full-time
- Hybrid work
- Software development
- Leadership
Lead Software Engineer
Karbon —Melbourne VIC
- Computer science
- Azure
- Computer Science
- Annual leave
- Parental leave
Quick Apply
AI Software Engineer (Front End)
Maincode —Melbourne VIC
- Full-time
- APIs
- AI
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Lead C++ Software Engineer
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
Product Developer, Sr
Epicor —Melbourne VIC
- Full-time
- Master's degree
- SQL
- APIs
Senior Full-Stack Engineer| Fintech Scale-Up
The Argyle Network —Melbourne VIC
- Full-time
- SQL
- AWS
- APIs
Senior Software Engineer - KICK Discovery & Presence
Easygo —Melbourne VIC
- Full-time
- Computer science
- Computer Science
- Systems design
- Work from home
- Employee assistance program
Quick Apply
Engineering Manager - Search Intelligence
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Machine learning
- APIs
- AI
- Parental leave
3d
Engineering Manager - Search Intelligence
News Corp —Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- AI
- Parental leave
2d
Senior Software Engineer - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- Machine learning
- APIs
1d
Senior System Development Engineer, Core Networking (Relocation support available)
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AWS
- Software development
- Health insurance
- Employee assistance program

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AI Software Engineer (Back End)

Maincode
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

APIs
AI

Full Job Description

About the role

Maincode is training Matilda, a large language model built and trained from scratch in Australia. Our new compute cluster is now live, and we are scaling the next version and deploying it publicly.

This role sits inside the production system that serves Matilda. You will build and maintain the back end services that make the model usable in the real world: APIs, infrastructure, and the systems that turn a trained model into a reliable public capability.

We build AI systems end to end. We design the architectures, run the infrastructure, train the models, and operate the systems ourselves. Matilda is not a research prototype. It is a production system trained at scale and served publicly.

Maincode operates one of the largest private AI compute environments in Australia, built for training and operating our own models. You will be working directly on the systems that deploy and serve a model trained from scratch.

What you would actually do

You will build and maintain the services that sit between the model and the outside world.

This includes work such as:

Building and maintaining services that handle model inference and user requests
Designing systems that manage requests, sessions, and streaming responses
Implementing reliability mechanisms such as rate limiting, retries, and graceful failure
Building authentication and access controls for public usage
Designing systems for logging, telemetry, and evaluation signals
Improving latency, throughput, and reliability of model serving
Integrating new model checkpoints into the production system
Working closely with training and infrastructure engineers to deploy and operate the model

Much of the work happens inside production systems: logs, traces, performance profiles, and deployment pipelines. The goal is not polish. The goal is a system that stays up, stays fast, and behaves predictably under load.

The kind of person who does well here

We are looking for engineers early in their careers who want to learn how production AI systems are actually built and operated.

You may have one or two years of experience building production software. What matters most is curiosity, reliability, and the willingness to learn how large scale systems behave under real constraints.

People who tend to do well here:

Care about runtime behaviour and system reliability
Enjoy debugging real systems rather than writing theoretical code
Think clearly about system boundaries and failure modes
Stay calm and methodical when production behaves unexpectedly
Want to understand how large scale AI systems actually work

You do not need prior experience serving large language models. You do need the discipline to build systems that are hard to break.

How you would work

You will use code as a way of shaping a production system.

You should be comfortable:

Building back end services in a modern language (Python is common here)
Working with APIs and service interfaces
Designing systems that remain stable under load
Reading logs and system metrics to understand behaviour
Collaborating closely with training, infrastructure, and product engineers

Speed matters, but so does rigour. Reliability is a feature.

What this role is not

It is not maintaining internal business software or conventional product back ends
It is not integrating third party AI services or building on top of external models
It is not primarily front end work or prompt engineering
It is not incremental feature work on mature systems

This role focuses on building and operating the systems that deploy and run a model we train ourselves, where the core problems are performance, scale, and reliability.

Why Maincode

Maincode builds AI systems end to end. We train the models, run the infrastructure, and operate the systems ourselves.

You will work with a small team that:

Builds the full AI stack rather than outsourcing it
Treats reliability and system design as core engineering problems
Values engineers who want to understand how systems actually work
Is building long term capability in training, deployment, and serving

If you want to work directly on the systems that deploy and operate a large language model trained from scratch, this role will put you inside that work.

Note

This is a full time role based in Melbourne, working closely with our in person engineering and research team. At this time we are not able to offer visa sponsorship, so applicants must have existing and unrestricted work rights in Australia.

Apply Now

Refine Your Search

software engineer – full stack jobs in melbourne, vic

AI Software Engineer (Back End)

Principal Software Engineer

Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

Senior Software Engineer

Senior IT Engineer, LRC

Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Senior Full Stack Developer

Staff Software Engineer - Payments (Crypto & Fiat)

C++ and C#/.Net - Senior Tech Lead

Lead Software Engineer

AI Software Engineer (Front End)

Delivery Consultant, AWS Professional Services

Lead C++ Software Engineer

Product Developer, Sr

Senior Full-Stack Engineer| Fintech Scale-Up

Senior Software Engineer - KICK Discovery & Presence

Engineering Manager - Search Intelligence

Engineering Manager - Search Intelligence

Senior Software Engineer - Australia

Senior System Development Engineer, Core Networking (Relocation support available)

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