AI-Native Product Builder Attachee

About the role

Code Particles is building products whose interface is an AI agent that can act, speaking English, Kiswahili or Sheng. As an AI-Native Product Builder Attachee, you will conceive, prototype and measure such products, prototyping hands-on with AI tools, spec'ing agentic features with guardrails and failure UX, and researching what makes people trust an AI with their money. The role sits at the centre of the company's goal to become a defining technology company by 2033.

Key responsibilities

• Prototype AI-native product concepts hands-on using modern AI tools, delivering working demos that stakeholders can click
• Write specs for agentic features: intents, guardrails, human handoffs and what happens when the AI is wrong
• Design conversational flows for real financial and operational tasks in African market contexts
• Run user research on trust, comprehension and safety in AI-driven money experiences
• Define and track metrics for AI features: task success, containment, trust and cost per interaction
• Map user journeys to find where an agent removes friction a form never could
• Research AI-native product patterns emerging in fintech globally and adapt them for local markets
• Present prototypes and learnings to stakeholders in weekly reviews

Required profile

• Currently pursuing a degree in Business, Computer Science, Design, Economics or a related field and requiring an industrial attachment for academic credit
• Institution must provide an attachment letter and an evaluation framework (logbook, supervisor assessment or equivalent)
• Demonstrated fluency with AI tools, already building and creating with them
• Strong analytical thinking, structured problem-solving and excellent written and verbal communication
• Curiosity about fintech and how AI changes what a product is
• Ability to work independently and manage multiple priorities

Required skills

• Comfort with data analysis and basic spreadsheet or BI tools
• Nice to have: experience with product and design tools (Figma, Notion, Linear), basic technical literacy (APIs, databases, models), experience writing product specs or PRDs, and multilingual fluency relevant to African markets