Great things start here

At RACV, you'll do meaningful work in an organisation that's constantly evolving. You'll have the autonomy to own features end-to-end while working alongside a high-calibre AI and technology team. 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.

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. 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 and safety. From day one, you'll embed security and responsible AI practices aligned to RACV governance expectations.

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
• Design and implement LLM systems (RAG pipelines, agentic workflows, orchestration and context strategies)
• Contribute to developing AI pipelines - building serverless ingestion, transformation and analysis workflows across different data sources
• Own prompt and context engineering for production, including prompt libraries and iteration cycles
• Design and run structured LLM evaluation across accuracy, hallucination, relevance and safety
• Develop production-quality Python and TypeScript/JavaScript, APIs and microservices
• Deliver AI securely and responsibly (prompt injection, PII handling, audit logging, third-party model risks)
• Maintain reliable systems via CI/CD pipelines, containerised deployments (Docker/Kubernetes) and monitoring
• Collaborate with data scientists, ML specialists, analytics, DevOps and Cybersecurity teams

What you'll bring

• 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
• Experience designing or operating data ingestion and transformation pipelines in a cloud environment
• Experience with agent frameworks such as LlamaIndex, LangGraph or PydanticAI (or equivalent)
• Practical experience running LLM evals (e.g. RAGAS, promptfoo or custom harnesses)
• 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)
• Open-source contributions or exposure to ML training/fine-tuning pipelines

What's in it for you

• 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 below.