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 abuild-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
Solid 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 environment would be advantageous.
This role would suit aGenerative AI Engineer, LLM Engineer, Applied AI Engineer or Machine Learning Engineerwho 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