AI Engineer (Full Stack)

AI Engineer (Full Stack) – GenAI / LLM 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 #J-18808-Ljbffr