In-Demand Software engineer (full stack) Jobs in Richmond Vic

AI Software Engineer (Back End)
Maincode —Melbourne VIC
- Full-time
- APIs
- AI
Senior Full Stack Engineer - AWS
Kodez —Melbourne VIC
- Urgently hiring
- Hybrid work
- AWS
- AI
- Work from home
Quick Apply
12d
Senior Software Developer
Shockbyte —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Systems design
- SQL
Team Lead (Hands on Software Engineer) (Typescript/Node/React/AWS)
Squiz —Melbourne VIC
- $150,000 - $170,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
Quick Apply
Product Engineer (UI / Frontend)
Maincode —Melbourne VIC
- Full-time
- APIs
- AI
Delivery Consultant: Full Stack Engineer, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- Systems design
- AWS
1d
AI Software Engineer (Front End)
Maincode —Melbourne VIC
- Full-time
- APIs
- AI
Dot Net Developer
Duxxel Pty Ltd —Melbourne VIC
- From $120,000 a year
- Contract
- Hybrid work
- Databases
- Software development
Quick Apply
Software Development Engineer
Wilfred Knight —Brighton VIC
- Computer Science
- Bachelor's degree
- Software development
Senior Software Engineer (Tech Enablement Team)
Amber Electric —Melbourne VIC
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- Software development
- Annual leave
- Work from home
Quick Apply
9d
Full Stack Application Developer
AI Talent —Melbourne VIC
- $70,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Work from home
Quick Apply
Software Engineer
Leidos —Melbourne VIC
- Full-time
- APIs
- Agile
- Communication skills
- Annual leave
Software Engineer (contract or perm)
NCS Australia —Melbourne VIC
- Full-time
- Azure
- SQL
- Parental leave
Quick Apply
Software Engineer - Health & Care
Civica —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AWS
- APIs
- Work from home
Quick Apply
Senior Full-Stack Engineer - Python/Javascript
The Argyle Network —Melbourne VIC
- $170,000 a year
- Full-time
- DevOps
- Office
- Communication skills
AI Software Engineer
Andromeda Robotics —South Melbourne VIC
- Full-time
- Systems design
- Databases
- AI
Quick Apply
14d
Software Engineer - Agentforce Platform
Salesforce —Melbourne VIC
- Full-time
- Salesforce
- ERP systems
- AWS
Software Engineer
RecordPoint —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AI
- SDLC
Quick Apply
14d
Senior Full-Stack Engineer| Fintech Scale-Up
The Argyle Network —Melbourne VIC
- Full-time
- SQL
- AWS
- APIs
Software Engineer (Database Specialist)
Kogan —South Melbourne VIC
- Full-time
- APIs
- AI
- Time management
- Wellness program

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software engineer (full stack) jobs near richmond vic

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 richmond vic

AI Software Engineer (Back End)

Senior Full Stack Engineer - AWS

Senior Software Developer

Team Lead (Hands on Software Engineer) (Typescript/Node/React/AWS)

Product Engineer (UI / Frontend)

Delivery Consultant: Full Stack Engineer, AWS Professional Services

AI Software Engineer (Front End)

Dot Net Developer

Software Development Engineer

Senior Software Engineer (Tech Enablement Team)

Full Stack Application Developer

Software Engineer

Software Engineer (contract or perm)

Software Engineer - Health & Care

Senior Full-Stack Engineer - Python/Javascript

AI Software Engineer

Software Engineer - Agentforce Platform

Software Engineer

Senior Full-Stack Engineer| Fintech Scale-Up

Software Engineer (Database Specialist)

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