AI Engineers


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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.

AI Engineers

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.

Method of Application

Send your CV to [email protected] and include the following:

  • Primary AI specialisation: Tell us where your expertise lies.
  • Relevant projects: Briefly describe AI solutions you have developed, contributed to or deployed, including the problems they addressed.
  • GitHub or portfolio link: Share your code repositories, technical portfolio or project demonstrations, where available.
  • Please use the subject line: AI Engineer Application | [Your Specialisation]