Kwara is a B2B fintech startup in Nairobi and Berlin with a unique mission, exceptional team and a global market. Our mission is to digitize Savings and Credit Unions in emerging markets that serve the 3 billion un- and underbanked population.

On a daily basis you will:

• Rapidly Prototype Features: Build beautiful, interactive AI-powered prototypes (using tools like Lovable/Bolt/Make/N8N) — think smart loan recommenders, personalized dashboards, automated KYC assistants, or fraud alert systems.
• Automate Internal Magic: Spot repetitive tasks (report generation, data reconciliation, support triage, compliance checks) and create no/low-code automations that save hours — turning manual work into intelligent, reliable flows.
• Explore Core Banking Superpowers: Experiment with integrating AI models into our platform: real-time credit scoring, transaction anomaly detection, customer behavior insights, dashboards — all while learning secure, scalable fintech engineering.
• Collaborate & Ship Fast: Work in a small, energetic team with a product manager, engineer and operators. Run quick experiments, demo prototypes weekly, and iterate based on real feedback.
• Grow & Learn Out Loud: Document your wins, present to the team, and absorb best practices in AI for fintech — from prompt engineering to ethical AI in financial services.

Requirements

• Eager to create: you immediately spot areas that can be improved, and you have ideas on how to bring that into practice
• Perseverance: what you’ll do is new and hard, so you should be willing to continue to try until the result is great, even when there are setbacks
• Excitement for prototyping tools (Lovable.dev, Make.com etc.): no expert level needed, just eagerness to learn
• Passionate about AI and fintech's power to change lives in Africa
• Coding skills: Studying / recently graduated in Computer Science, Data Science, AI, Engineering, or similar

Our interviews and case studies are designed to test you actively for this. You should only apply if you are ready for an intense interview process, including a take-home assessment and an in-person session at the Kwara House in Lavington, which requires preparation, role play and active engagement with our Managing Director and COO.

We also care about the below secondary requirements:

• Strong problem-solving skills (you identify problems and can break them down into bite-sized chunks)
• Excellent communication skills (you can explain tech to non-tech folks)
• Bonus superpowers: Experience with generative AI, APIs, cloud basics (AWS/GCP), or no-code/low-code tools
• Self-starter who thrives in a fast-paced, supportive startup vibe

• Rapidly Prototype Features: Build beautiful, interactive AI-powered prototypes (using tools like Lovable/Bolt/Make/N8N) — think smart loan recommenders, personalized dashboards, automated KYC assistants, or fraud alert systems.
• Automate Internal Magic: Spot repetitive tasks (report generation, data reconciliation, support triage, compliance checks) and create no/low-code automations that save hours — turning manual work into intelligent, reliable flows.
• Explore Core Banking Superpowers: Experiment with integrating AI models into our platform: real-time credit scoring, transaction anomaly detection, customer behavior insights, dashboards — all while learning secure, scalable fintech engineering.
• Collaborate & Ship Fast: Work in a small, energetic team with a product manager, engineer and operators. Run quick experiments, demo prototypes weekly, and iterate based on real feedback.
• Grow & Learn Out Loud: Document your wins, present to the team, and absorb best practices in AI for fintech — from prompt engineering to ethical AI in financial services.

• Eager to create
• Perseverance
• Excitement for prototyping tools (Lovable.dev, Make.com etc.)
• Passionate about AI and fintech's power to change lives in Africa
• Coding skills
• Strong problem-solving skills
• Excellent communication skills
• Experience with generative AI, APIs, cloud basics (AWS/GCP), or no-code/low-code tools
• Self-starter who thrives in a fast-paced, supportive startup vibe

• Studying / recently graduated in Computer Science, Data Science, AI, Engineering, or similar