AI Engineer

About the role

The AI Engineer will explore and build intelligent solutions to improve how Cornerstone understands transaction behaviour, detects unusual activity, and delivers helpful financial experiences.

Key responsibilities

• Research and prototype transaction behaviour analysis and fraud detection techniques.
• Support development of responsible, explainable financial behaviour scoring models.
• Clean, process, and analyse authorised datasets.
• Develop prototypes using Python and relevant AI/ML libraries.
• Help design AI‑assisted internal tools and customer support workflows.
• Evaluate model accuracy, bias, performance, and reliability.
• Collaborate with backend developers on safe integration approaches.
• Document assumptions, limitations, testing results, and model performance.

Required profile

• Working knowledge of Python.
• Basic understanding of machine learning, statistics, and data analysis.
• Familiarity with Pandas, NumPy, scikit‑learn or equivalent libraries.
• Ability to build or explain a practical data science or AI project.
• Good analytical and problem‑solving skills.
• Understanding of responsible data handling and privacy.
• Willingness to learn fintech‑specific risk and behavioural analysis.

Required skills

• Python
• Pandas
• NumPy
• scikit‑learn
• TensorFlow
• PyTorch
• LLM integrations
• Data pipelines

What we offer

• Guidance on applying AI responsibly to real financial data and products.
• Flexible, remote‑first working arrangement.
• Practical experience contributing to a developing fintech company.
• Task guidance, feedback, and professional development.
• Exposure to cross‑functional collaboration and startup operations.
• Certificate or reference letter on successful completion, subject to performance.
• Consideration for expanded responsibilities or future roles based on performance and company growth.