Craft Silicon is a proudly Kenyan software house that provides software solutions for Core Banking, Micro Finance, Switching and Electronic Payments. We serve more than 200 finance spanning across more than 30 countries across 4 continents.

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.

Qualification: BA/BSc/HND

• Intelligent banking workflows, customer insights and AI-assisted operations.
• Fraud detection, transaction intelligence and anomaly detection.
• Predictive modelling, credit risk assessment and responsible lending.
• Intelligent assistants, chatbots and natural language processing.
• RAG architectures, enterprise knowledge assistants and LLM-powered applications.
• Workflow automation, document intelligence and autonomous task execution.
• Forecasting, customer analytics and data-driven decision-making.
• Model deployment, API integration, monitoring, optimisation and scalable AI infrastructure.

• 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.

• BA/BSc/HND
• Strong technical fundamentals
• Practical problem-solving
• Curiosity
• Ability to translate complex challenges into effective solutions
• Candidates do not need to be an expert in every area.