Hybrid AI Engineer: LLMs, Cloud & Production

RACV

Melbourne

Ibrido

AUD 120.000 - 180.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Flexible work environment
Insurance discounts
RACV Club membership
Resort discounts
Corporate partner discounts

Descrizione del lavoro

RACV is seeking a Mid-Level AI Engineer to join the Transformation and AI team in Melbourne. You’ll design, build and operate production-ready AI solutions across RACV initiatives, focusing on large language models, agentic AI and cloud-based engineering to deliver measurable outcomes for members and teams.

You will work across the full delivery lifecycle, collaborating with stakeholders, exploring problems, designing solutions, testing and deployment, and providing ongoing support in a

Competenze

  • Hands-on experience delivering AI or LLM-enabled solutions.
  • Experience with AI-assisted development tools.
  • Experience delivering cloud-native applications on Azure.

Mansioni

  • Design, build, deploy and maintain scalable AI-enabled applications (LLM, RAG, agentic AI).
  • Own delivery of scoped AI initiatives with stakeholders to define success metrics.
  • Develop prompting, retrieval and evaluation methods for safe, reliable outputs.
  • Contribute to code reviews, architecture, CI/CD, containerised deployments, security practices.
  • Monitor production solutions in a "you build it, you run it" environment.

Conoscenze

AI/LLM development
Cloud-native apps
CI/CD pipelines
Azure

Strumenti

Cursor
GitHub Copilot
Claude Code
Codex

Descrizione del lavoro

RACV is seeking a Mid-Level AI Engineer to join the Transformation and AI team in Melbourne. You’ll design, build and operate production-ready AI solutions across RACV initiatives, focusing on large language models, agentic AI and cloud-based engineering to deliver measurable outcomes for members and teams.

You will work across the full delivery lifecycle, collaborating with stakeholders, exploring problems, designing solutions, testing and deployment, and providing ongoing support in a

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