A large Australian enterprise is scaling its agentic AI capability and moving past proofs of concept into AI systems running in production across the business. They need engineers who have actually shipped.

The role

You’ll build and deploy LLM-powered applications and agentic workflows that solve real problems for teams across the organisation. The work spans agent design, tool integration, retrieval, evaluation and guardrails, through to secure production deployment. You’ll work with architects, data engineers and business stakeholders, and have a real say in how solutions are designed, not just implemented.

What you’ll bring
Production experience building with LLM APIs (any major provider), beyond prototypes or internal demos
Agentic patterns: tool use, multi-step orchestration, function calling, MCP or similar
RAG pipelines: chunking, embeddings, vector databases, retrieval tuning




Robust Python and API development
Cloud deployment on AWS, Azure or GCP, including managed AI services (Bedrock, Azure OpenAI or Vertex AI)
Evaluation, testing and guardrails for LLM outputs
Comfortable working with business stakeholders to shape requirements
Australian citizenship or PR

Valuable to have
Frameworks such as LangGraph, LlamaIndex or similar
Observability and LLMOps tooling
Security and responsible AI considerations in a regulated workplace

What’s on offer
Competitive salary matched to level, mid to senior
Hybrid, Sydney or Melbourne
Permanent
Work across multiple models and platforms on large-scale, real-world problems
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📌 Artificial Intelligence Engineer Sydney
🏢 Tekfinder
📍 Sydney