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.
- Solid 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 detailsContract: 6 months, with extension likely
Start: October / November 2026
Location: Sydney – hybrid working

📌 AI Engineer (Full Stack) (Sydney)
🏢 INGRITY
📍 Sydney