AI Engineer (Full Stack)

AI Engineer (Full Stack) – GenAI / LLM Sydney | Hybrid | 6-Month Contract We’re partnering with a tier-one Australian bank that is expanding its central AI engineering capability and looking to bring on experienced AI Engineers . This is a hands-on engineering role for someone who can build production-ready AI applications end to end — combining strong full stack engineering with practical experience across Generative AI, LLMs, RAG and AI agents .You’ll join a dedicated AI squad responsible for taking AI use cases from concept through to production and deploying solutions directly across different areas of the bank.What you’ll be doing • Design, build and deploy full stack AI applications , including backend services, APIs and user-facing applications. • Build solutions using LLMs, RAG pipelines, AI agents and agentic workflows . • Integrate AI solutions with enterprise data, APIs and existing business systems. • Develop and optimise prompts, tool calling, retrieval strategies and AI workflows. • Take solutions from POC through to production , including evaluation, guardrails, monitoring, performance and cost optimisation. • Partner directly with technology product owners and business stakeholders to turn AI use cases into working products. • Build within enterprise standards across security, privacy, risk and responsible AI . What we’re looking for • 8–10 years' software engineering experience , with strong full stack development capability. • 2+ years' hands-on AI / LLM engineering experience . • Demonstrated experience taking at least one Generative AI solution into production . • Strong development experience with Python . • Front-end experience with React, TypeScript or similar modern frameworks . • Experience with LLM platforms such as Azure OpenAI, AWS Bedrock, OpenAI or Anthropic APIs . • Hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex or Semantic Kernel . • Experience building RAG solutions and working with vector search technologies such as pgvector, OpenSearch, Pinecone or Azure AI Search . • Strong understanding of AWS or Azure, APIs, containers and CI/CD . • Strong communication skills with the ability to work directly with both technical and business stakeholders. Nice to have • Previous experience within banking, financial services or another regulated environment . • Experience with LLM evaluation, AI guardrails, MLOps or LLMOps . • Exposure to data platforms such as Databricks or Snowflake . Contract details Contract: 6 months, with extension likely Start: October / November 2026 Location: Sydney – hybrid working