AI Engineers
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Craft Silicon is seeking AI Engineers to develop intelligent solutions for its banking, digital payments, lending, customer engagement and financial services products. The role covers machine learning, generative AI, intelligent automation, predictive analytics and conversational AI.
- Develop scalable AI solutions for financial technology products
- Relevant practical experience in AI engineering is required
- Opportunities span core banking, digital payments and digital lending
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AI summary
Craft Silicon is seeking AI Engineers to develop intelligent solutions for its banking, digital payments, lending, customer engagement and financial services products. The role covers machine learning, generative AI, intelligent automation, predictive analytics and conversational AI.
- Develop scalable AI solutions for financial technology products
- Relevant practical experience in AI engineering is required
- Opportunities span core banking, digital payments and digital lending
- Apply AI to fraud detection, credit scoring and operational challenges
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in security, technology, financeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Other contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest AI Engineers evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Craft Silicon and the role in Nairobi.
- Add concrete examples related to security, technology, finance, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobOpenings.co.ke; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobOpenings.co.ke
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this AI Engineers role in security, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Craft Silicon before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- Job Title: AI Engineers
- Company: Craft Silicon
- Location: Nairobi, Kenya
- Job Type: Not specified
- Job Category: Data, Business Analysis and AI / ICT
- Qualification: Not specified
- Experience: Relevant practical experience in AI engineering
- Salary: Not specified
- Application Deadline: Not specified
Job Overview
Craft Silicon is inviting applications from talented AI Engineers interested in developing intelligent technology solutions for the financial services and fintech industry.
The company is looking for professionals with different areas of artificial intelligence expertise, including machine learning, generative AI, intelligent automation, predictive analytics and conversational AI.
Successful candidates will have an opportunity to contribute to the development of scalable AI solutions across Craft Silicon's financial technology products. The work involves applying artificial intelligence to practical business challenges in banking, digital payments, lending, customer engagement and financial services.
Craft Silicon welcomes applicants with different technical specialisations. Candidates do not need to be experts in every area but should demonstrate strong technical fundamentals, practical problem-solving abilities, curiosity and the ability to turn complex challenges into effective technology solutions.
About Craft Silicon
Craft Silicon is a Kenyan financial technology company that develops software solutions for banking, microfinance, electronic payments and other financial services.
The company provides technology solutions to financial institutions across multiple countries, supporting digital transformation and financial inclusion through its software products and services.
Its work covers areas such as core banking, mobile financial solutions, digital payments and financial technology platforms.
Areas of Opportunity
Craft Silicon is welcoming AI engineering talent across several fintech domains.
1. Core Banking and Digital Banking
Develop intelligent banking workflows, customer insights and AI-assisted operational solutions that improve banking processes and customer experiences.
2. Digital Payments and Merchant Solutions
Work on artificial intelligence solutions for fraud detection, transaction intelligence and anomaly detection to support secure and efficient digital payment systems.
3. Digital Lending and Credit Scoring
Contribute to predictive modelling, credit risk assessment and responsible lending solutions that help financial institutions make informed lending decisions.
4. Conversational AI
Develop intelligent assistants, chatbots and natural language processing solutions to improve customer interaction and automate communication processes.
5. Generative AI and Large Language Models
Work on Retrieval-Augmented Generation (RAG) architectures, enterprise knowledge assistants and applications powered by Large Language Models (LLMs).
6. Intelligent Automation and AI Agents
Develop AI-powered workflow automation, document intelligence solutions and autonomous task execution systems.
7. Data Science and Predictive Intelligence
Apply data science and predictive analytics to forecasting, customer analytics and data-driven decision-making.
8. AI Engineering and MLOps
Support model deployment, API integration, monitoring, optimisation and the development of scalable artificial intelligence infrastructure.
Skills and Technical Experience
Depending on their area of specialisation, applicants should have relevant experience in some of the following areas:
- Python programming and modern artificial intelligence and machine learning frameworks.
- Machine learning, deep learning and model development.
- Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and generative AI applications.
- Data engineering, model evaluation and experimentation.
- API integration and cloud deployment.
- Development and deployment of production-ready AI systems.
- Machine Learning Operations (MLOps), model monitoring and optimisation.
- AI security and responsible artificial intelligence practices.
Candidates should demonstrate the ability to apply their technical knowledge to practical problems and contribute to the development of reliable AI-powered solutions.
Key Competencies
The company values candidates who demonstrate:
1. Strong technical and analytical skills.
2. Practical problem-solving abilities.
3. Curiosity and willingness to explore emerging AI technologies.
4. Ability to translate complex technical challenges into effective solutions.
5. Understanding of how artificial intelligence can improve business operations.
6. Commitment to developing secure, scalable and responsible AI solutions.
How to Apply
Interested and qualified candidates should submit their updated CV to Craft Silicon through the recruitment email address below:
Email: [email protected]
Applicants should include the following information in their application:
- Primary AI Specialisation: Clearly indicate the area of artificial intelligence in which you have expertise.
- Relevant Projects: Briefly describe AI solutions you have developed, contributed to or deployed, including the problems they addressed.
- GitHub or Portfolio Link: Provide links to relevant code repositories, technical portfolios or project demonstrations, where available.
Use the following subject line when sending your application:
AI Engineer Application | [Your Specialisation]
Candidates should ensure that their CV highlights their relevant technical skills, practical AI experience and completed projects.
For more job description visit: jobopenings.co.ke
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Craft Silicon
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Craft Silicon
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Quick Info
Type
Job
Company
Craft Silicon
Nairobi
Rolling Basis
Open until filled
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