Our Client has taken a focus on scaling the AI capabilities within the Financial Services Domain. If you are an experienced AI Engineer (Mid) with industry experience don't hesitate to reach out as we have several opportunities available in an agnostic technical workplace as a foundational member.
Join as a foundational member of the AI engineering

What's a Typical day look like?
Design, develop, test, and deploy machine learning and deep learning models into production
Build scalable AI/ML pipelines and real-time inference systems
Ensure compliance with regulatory and governance requirements in financial services
Monitor, retrain, and improve deployed models for performance and fairness
Contribute to AI architecture, MLOps best practices, and cloud deployment strategies
Collaborate cross-functionally to translate business problems into AI-driven solutions

About you:




Experience in Funds & Asset Management, or greater financial services.
Knowledge of regulatory frameworks
Experienced with large-scale financial datasets and real-time streaming data system
Experienced in one of the following (OpenAI, Cursor, Claude, Co-pilot)
Solid understanding of LLM application architecture, including prompt engineering, tool calling, RAG, embeddings, vector databases, and agentic workflows.
Experience developing RAG pipelines for document ingestion, chunking, retrieval, reranking, and context-aware generation.
Passionate about building AI systems that are reliable, maintainable, measurable, and genuinely practical in production.
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📌 Artificial Intelligence Engineer Sydney
🏢 Kapital Consulting
📍 Sydney