At a glance
- Closing date
- The listing does not give one. Employers often close early when they have enough applicants, so apply soon.
- Where
- Nairobi, Kenya
- How to apply
- Directly to the employer by email. The address is in the listing below.
- Similar roles
- 55 other open Data, Analytics & AI roles on the Kenya board right now.
- This employer
- Craft Silicon has 3 open roles on RezSync.
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.
Minimum qualifications
BA/BSc/HND
How to apply
Send your CV to talent@craftsilicon.com 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]
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