Artificial Intelligence Engineer

Kapital Consulting

Sydney, AUS

Full-time

Mid-Senior

Hybrid

Discovered 1 weeks ago

Machine learningDeep learningAI/ML pipelinesReal-time inference systemsMLOpsCloud deployment

Free

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Key skills for this role

Machine learningDeep learningAI/ML pipelines

The client is scaling AI capabilities within the financial services domain.

The recruitment includes mid and senior AI engineering opportunities in an agnostic technical environment.

The roles offer hybrid work-from-home models and may join as foundational members of the AI engineering function.

Design, develop, test, and deploy machine learning and deep learning models into production.
Build scalable AI and machine learning 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.

Experience in funds and asset management or broader financial services.
Knowledge of regulatory frameworks.
Experience with large-scale financial datasets and real-time streaming data systems.
Experience with at least one of OpenAI, Cursor, Claude, or GitHub Copilot.
Strong understanding of LLM application architecture, including prompt engineering, tool calling, RAG, embeddings, vector databases, and agentic workflows.

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