In-Demand Ai ml engineer Jobs in Melbourne, Vic

AI Engineer
RACV —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Member of Technical Staff
Artificial Analysis, Inc. —Melbourne VIC
- Full-time
- Data analysis skills
- Analysis skills
- AI
Quick Apply
2d
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
9d
Commercial Account Executive, Melbourne
Snowflake —Melbourne VIC
- Management
- Sales
- Presentation skills
Senior AI / ML Engineer
Artificial Analysis, Inc. —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Data analysis skills
Quick Apply
2d
Staff AI Engineer – Software
Future Secure AI —Melbourne VIC
- APIs
- AI
Quick Apply
4d
Staff Applied AI Scientist
Culture Amp —Melbourne VIC
- Master's degree
- AI
- Communication skills
- Health insurance
- Parental leave
4d
Staff Machine Learning Engineer
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
4d
AI Solution Designer – Data & AI
KPMG —Melbourne VIC
- Full-time
- Azure
- Computer Science
- Master's degree
- Parental leave
3d
Senior Data Engineer - Data & AI
Axsys —Melbourne VIC
- Computer science
- Computer Science
- DevOps
- Parental leave
4d
Senior Data Engineer - Data & AI
MYOB —Melbourne VIC
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Parental leave
3d
Data Platform Engineer
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
4d
Data Platform Engineer
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
4d
Data Platform Engineer
AFCA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick Apply
4d
Senior Full Stack Engineer
Woolworths Group —Melbourne VIC
- Full-time
- Master's degree
- AWS
- APIs
5d

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AI Engineer

RACV -
Melbourne VIC

Apply Now

Job Details

Permanent | Full-time

Qualifications

CI/CD
Azure
Law
Computer Science
AWS Certification
Master's degree
Microservices
AWS
Docker
APIs
Security
AI

Full Job Description

Melbourne | RACV Head Office
Permanent Full Time | Hybrid Working
Competitive Salary | Discounts on Selected RACV Products
New Role – Play a Key Part Within our Transformation Team

Great things start here

At RACV, you’ll work on meaningful AI problems in a trusted organisation with real customer, operational and employee use cases. You’ll have the autonomy to own features end-to-end while working alongside a high calibre AI and technology team that cares about shipping well, not just experimenting.

We’re looking for an AI Engineer who can independently design, build, deploy and improve LLM centric and agentic AI systems, from retrieval and orchestration through to evaluation, security and reliable production operation. This is a hands-on role for someone who wants to turn modern AI capability into dependable production software and who brings strong judgement in system design for scalable, high-quality services.

About the opportunity

As an AI Engineer, you’ll help shape and deliver RACV’s AI platforms, software and infrastructure. Working with minimal day to day supervision, you’ll own discrete workstreams and contribute to the technical quality of production AI solutions from design through to release and iteration.

You’ll work hands on across RAG, agentic workflows, tool use, multi-step reasoning, prompt and context engineering, while balancing the realities of running AI in production, including cost, latency, scalability, observability, system reliability and safety. From day one, you’ll embed security and responsible AI practices aligned to RACV governance expectations.

This role will suit an engineer who enjoys combining strong software fundamentals with fast moving AI techniques, and who wants to work where production quality, governance and practical business impact all matter.

What you’ll do

Reporting to the Lead AI Full Stack Engineer, you’ll deliver production grade AI solutions, including:

Build, deploy and maintain AI enabled applications, services and APIs used in real production environments

Design and implement LLM systems including RAG pipelines, agentic workflows, orchestration and context strategies

Develop AI pipelines, including serverless ingestion, transformation and analysis workflows across different data sources

Design systems and services that scale reliably in production, with clear attention to architecture, performance, fault tolerance and maintainability

Own prompt and context engineering for production, including prompt libraries, retrieval strategies and iteration cycles

Design and run structured LLM evaluation across accuracy, hallucination, relevance, safety, tool behaviour and other quality signals that matter in production

Define release readiness using evaluation baselines, acceptance thresholds, tracing and production feedback loops

Write production quality Python and TypeScript/JavaScript for applications, APIs and microservices

Deliver AI securely and responsibly, including controls around prompt injection, PII handling, audit logging and third party model risks

Design appropriate guardrails, approval steps and fallback paths for higher risk or higher impact workflows

Maintain reliable systems via CI/CD pipelines, containerised deployments (Docker/Kubernetes) and monitoring

Collaborate closely with data scientists, ML specialists, analytics, DevOps and Cybersecurity teams to move good ideas into dependable delivery

What you’ll bring

You do not need to match every tool or framework we use today. We’re most interested in engineers with strong production instincts, sound judgement and hands on experience across most of the areas.

3–5 years’ experience in software engineering with a strong focus on AI and LLM technologies

Hands on experience building production systems using foundation models, RAG and agentic patterns

Strong production experience designing and operating systems at scale, with good system design fundamentals across reliability, performance and maintainability

Experience designing or operating data ingestion and transformation pipelines in a cloud environment

Experience with agent frameworks such as LangGraph, OpenAI Agents SDK, Microsoft Agent Framework, LlamaIndex or PydanticAI, or the ability to get productive quickly with equivalent tools

Practical experience running LLM evals and using tracing or observability to improve production quality

Strong prompt and context engineering capability for production workloads

Production level Python and TypeScript/JavaScript

Experience with APIs, microservices, CI/CD and container platforms

Working knowledge of cloud platforms (Azure preferred)

Applied understanding of responsible AI, AI ethics and AI specific security risks

Qualifications (desirable)

Degree in Computer Science, Cloud Computing, Mathematics or related field (or equivalent experience)

Experience with Azure Functions, Azure Durable Functions or similar serverless orchestration patterns

Azure/AWS certifications

Experience with LLM observability tools (e.g. LangSmith, Langfuse) or OpenTelemetry based tracing

Open-source contributions or exposure to ML training/fine tuning pipelines

What’s in it for you

The chance to help shape how AI is built, deployed and governed in production at RACV

High trust, high autonomy work with meaningful end to end ownership

The opportunity to work alongside experienced AI, engineering, data and security practitioners

Flexible, hybrid work environment

50% off home and car insurance

Free RACV roadside care

Discounts across RACV products and corporate partners

Our difference

At RACV, diversity and inclusion matter. We want our people to feel supported, valued and able to do their best work. If you need reasonable adjustments during the recruitment process or in the role, please let us know.

Application process

Learn more at careers.racv.com.au. Applicants must have the right to work in Australia and consent to a criminal record check. Submit your CV via the link.

Apply Now

Refine Your Search

ai ml engineer jobs in melbourne, vic

AI Engineer

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