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 AIDevelop hands‐on solutions in PythonWork with business stakeholders to identify and refine valuable AI use casesTranslate business requirements into practical, scalable technical solutionsBuild using platforms such as Azure OpenAI, Azure AI Foundry and DatabricksConsider monitoring, performance, governance, security and cost throughout the solution lifecycleIntegrate GenAI capabilities into existing enterprise platforms and applicationsCoordinate delivery across business, technology, onshore and offshore teamsDevelop reusable frameworks, standards and engineering patternsEnsure solutions align with responsible AI,



risk and security requirements
What we're looking for
Commercial experience building AI, machine learning or Generative AI solutionsStrong hands‐on Python development skillsPractical experience working with LLMs and RAGExposure to AI agents, agentic workflows or orchestration frameworksExperience with Azure OpenAI, Azure AI Foundry, Databricks or similar platformsUnderstanding of prompt engineering, embeddings, vector search and retrieval patternsExperience taking AI solutions beyond proof‐of‐concept stageAbility to work directly with stakeholders and turn loosely defined ideas into working solutionsUnderstanding of production considerations including monitoring, performance, security, governance and cost
Experience in insurance, financial services or another regulated setting 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