About

This role is based in Sydney, Australia We’re partnering with a leading financial-services firm that is expanding its AI capability across APAC and investing heavily in next-generation conversational and agentic AI systems. This is a rare opportunity to step into a senior role where you’ll shape the firm’s AI adoption, build Python-based LLM solutions used daily by traders and engineers, and lead the integration of RAG pipelines, vector databases, and agentic AI workflows across global teams. If you want to build real-world AI systems in an environment where the business actually adopts what you create — this is one of the most impactful roles in the region. What You’ll Work On Build and optimise LLM-powered conversational systems supporting front-office and technology teamsDevelop Python-based agentic workflows, automation layers, and knowledge-retrieval systemsArchitect APIs, data integrations, and microservices connecting AI tools with enterprise applicationsImplement and scale RAG pipelines, vector database integrations, and retrieval-optimised searchPrototype and evaluate emerging AI/ML technologies for practical production useLead engineering best practices and mentor technical contributors across APACPartner with global engineering, trading, and research teams on strategic AI programmes What You Bring 10+ years of enterprise engineering experience (Python preferred or C#)Strong experience with LLMs, NLP, conversational AI, or OpenAI/Azure AI frameworksHands-on experience with RAG, vector DBs (e.g., Pinecone, Milvus, Chroma), embeddingsStrong foundations in REST APIs, microservices, integrations, and cloud platformsExposure to Docker, Kubernetes, CI/CD, and DevOps toolingAbility to drive technical direction and collaborate across global