Contract | Up to $1,050 per day + super | Sydney

We're partnering with a leading Sydney-based insurance organisation seeking a hands‑on LLMOps / Generative AI Engineer to build enterprise AI solutions using LLMs, RAG and AI agents.

Despite the LLMOps title, this is primarily a build-focused engineering role. You'll take business use cases and turn them into secure, scalable and production‑ready GenAI solutions. It is not a traditional DevOps or infrastructure position centred on deployment pipelines.

What you’ll be doing

- Design and build enterprise GenAI solutions using LLMs, RAG and agentic AI
- Develop hands‑on solutions in Python
- Work with business stakeholders to identify and refine valuable AI use cases
- Translate business requirements into practical, scalable technical solutions
- Build using platforms such as Azure OpenAI, Azure AI Foundry and Databricks
- Consider monitoring, performance, governance, security and cost throughout the solution lifecycle
- Integrate GenAI capabilities into existing enterprise platforms and applications
- Coordinate delivery across business, technology, onshore and offshore teams
- Develop reusable frameworks, standards and engineering patterns
- Ensure solutions align with responsible AI,



risk and security requirements

What we’re looking for

- Commercial experience building AI, machine learning or Generative AI solutions
- Strong hands‑on Python development skills
- Practical experience working with LLMs and RAG
- Exposure to AI agents, agentic workflows or orchestration frameworks
- Experience with Azure OpenAI, Azure AI Foundry, Databricks or similar platforms
- Understanding of prompt engineering, embeddings, vector search and retrieval patterns
- Experience taking AI solutions beyond proof‑of‑concept stage
- Ability to work directly with stakeholders and turn loosely defined ideas into working solutions
- Understanding of production considerations including monitoring, performance, security, governance and cost

Experience in insurance, financial services or another regulated workplace would be advantageous.

This role would suit a Generative AI Engineer, LLM Engineer, Applied AI Engineer or Machine Learning Engineer who enjoys building real enterprise solutions-not someone focused solely on MLOps infrastructure and deployment automation.

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📌 LLMOps Engineer (New South Wales)
🏢 Talenza
📍 New South Wales