Requirements
- 7+ years professional software development (Python and Typescript preferred) with production ML/AI experience
- Demonstrated delivery of at least one generative-AI solution in production (chatbot, summariser, code assistant, etc.)
- Deep familiarity with transformers and orchestration stacks such as LangChain v0.2+, LlamaIndex or Semantic Kernel
- Practical experience deploying or fine-tuning models on Azure OpenAI / AI Foundry or AWS Bedrock / SageMaker
- Hands-on with RAG patterns, vector databases and evaluation metrics (BLEU, ROUGE-L, GPTScore)
- Cloud-native engineering skills: Docker, Kubernetes (AKS/EKS), infra-as-code and automated testing
Nice to Have
- Agent frameworks (AutoGen 0.2/0.4, CrewAI) and tool-using agents.
- Multimodal model workflows (image-text with GPT-4o, Gpt4o real time API).
- Experience with embedding models
- Workspace automation using agentic frameworks
- Advanced RAG variants – familiarity with LongRAG, Self-RAG, GraphRAG and the trade-offs between leading vector stores (Pinecone, Qdrant, FAISS, Azure AI Search)
- Multimodal & streaming LLMs – delivering real-time GPT-4o or Gemini 2 Ultra use-cases (image to text or speech) and cross-modal embeddings.
Benefits
- social events
- chill-out spaces
- remote working
- flexi-hours
- professional development courses
Additional Information
- You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment.
- We operate at the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.