Job Description
AI Systems DeveloperMelbourne | Hybrid
We're working with an innovative technology business that is investing heavily in AI and looking for anAI Systems Developerto join their engineering team.
This is a hands‐on engineering role sitting at the intersection ofsoftware development, AI and infrastructure.
You'll be responsible for taking AI capabilities beyond experimentation and turning them into reliable, production‐ready systems.
The majority of your time will be spent working on the core application and helping build the systems and tooling that support the company's AI capabilities.
The RoleYou'll be responsible for:
Building, improving and maintaining production software.
Developing and integratingLLM-powered features, AI agents and retrieval systems.
Building data and ETL pipelines that support AI applications.
Working with model APIs and modern AI tooling to deliver practical solutions.
Contributing to internal AI engineering and developer tooling.
Taking ownership of features from development through to production.
Improving system reliability, performance, latency and cost.
Implementing monitoring, tracing and alerting across application and AI workloads.
Troubleshooting production issues and contributing to incident response.
Working closely with engineers to improve how AI systems are developed, tested and deployed.
AI Systems DeveloperMelbourne | Hybrid
We're working with an innovative technology business that is investing heavily in AI and looking for anAI Systems Developerto join their engineering team.
This is a hands‐on engineering role sitting at the intersection ofsoftware development, AI and infrastructure.
You'll be responsible for taking AI capabilities beyond experimentation and turning them into reliable, production‐ready systems.




The majority of your time will be spent working on the core application and helping build the systems and tooling that support the company's AI capabilities.
The RoleYou'll be responsible for:
Building, improving and maintaining production software.
Developing and integratingLLM-powered features, AI agents and retrieval systems.
Building data and ETL pipelines that support AI applications.
Working with model APIs and modern AI tooling to deliver practical solutions.
Contributing to internal AI engineering and developer tooling.
Taking ownership of features from development through to production.
Improving system reliability, performance, latency and cost.
Implementing monitoring, tracing and alerting across application and AI workloads.
Troubleshooting production issues and contributing to incident response.
Working closely with engineers to improve how AI systems are developed, tested and deployed.
What We're Looking For What we're looking for a solid software engineer who is comfortable working with production systems and has hands‐on experience building with AI.
You'll ideally have:
5+ years' commercial software engineering experience.
Strong experience building and supportingproduction applications.
StrongRuby on Railsexperience — this is particularly important as the core application is Rails-based.
StrongPostgreSQLexperience.
Experience working withAWS.
Experience withTerraform / Infrastructure as Code.




Hands‐on experience building applications usingLLMs, AI agents, RAG/retrieval or model APIs.
Experience buildingdata or ETL pipelines.
Experience with production observability, monitoring and alerting.
An understanding of reliability, scalability, latency and infrastructure costs.
A pragmatic approach to engineering, with a focus on shipping and operating real software.
AI Experience We're particularly interested in engineers who have gone beyond simply integrating an LLM API and have experience thinking abouthow AI systems operate in production.
This could include experience with:
AI agents and agentic workflows
RAG and retrieval systems
LLM application architecture
Model APIs / model serving
AI evaluation and testing
AI coding agents
Developer tooling
Data pipelines supporting AI applications
AI observability and monitoring
Managing AI performance and infrastructure costs
You don't need experience across every area.
Strong software engineering fundamentals combined with genuine hands‐on AI experience are more important.
The OpportunityThis is an opportunity to join a growing engineering team at an exciting point in its AI journey.
You'll have the chance to work acrosssoftware engineering, AI and infrastructure, helping shape how AI is built, deployed and operated within a real production environment.
If you're a software engineer with strongRuby/Rails experiencewho is genuinely interested in building production AI systems, we'd be keen to hear from you.
Hybrid working model (Tuesday–Thursday in the Melbourne CBD office, Monday + Friday WFH)
Modern office environment
Regular team events and interstate off-sites
Clear opportunities for growth and progression
#J-*****-Ljbffr

📌 Ai Systems Developer (Victoria)
🏢 Bluefin Resources
📍 Victoria