AI Engineers

Job description

Areas of Opportunity

• We welcome AI engineering talent across multiple fintech domains, including:
• Core Banking & Digital Banking: Intelligent banking workflows, customer insights and AI-assisted operations.
• Digital Payments & Merchant Solutions: Fraud detection, transaction intelligence and anomaly detection.
• Digital Lending & Credit Scoring: Predictive modelling, credit risk assessment and responsible lending.
• Conversational AI: Intelligent assistants, chatbots and natural language processing.
• Generative AI & LLMs: RAG architectures, enterprise knowledge assistants and LLM-powered applications.
• Intelligent Automation & AI Agents: Workflow automation, document intelligence and autonomous task execution.
• Data Science & Predictive Intelligence: Forecasting, customer analytics and data-driven decision-making.
• AI Engineering & MLOps: Model deployment, API integration, monitoring, optimisation and scalable AI infrastructure.

What We’re Looking For

• Depending on your area of specialisation, relevant experience may include:
• Python and modern AI/ML frameworks.
• Machine learning, deep learning and model development.
• LLMs, RAG, prompt engineering and generative AI applications.
• Data engineering, model evaluation and experimentation.
• API integration, cloud deployment and production-ready AI systems.
• MLOps, model monitoring, security and responsible AI practices.
• We value strong technical fundamentals, practical problem-solving, curiosity and the ability to translate complex challenges into effective solutions. You do not need to be an expert in every area.

Requirements

bachelor degree Apply by email: talent@craftsilicon.com