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