Lead AI Engineer - Financial Inclusion

The Opportunity

• 🎯 Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa's Every Day Earners
• 🏆 Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022–2025)
• 🚀 Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can't scale by hiring forever need intelligent tooling that actually works
• 🌱 Environmental impact: We're carbon-negative, having displaced over 2 million tonnes of emissions

What You'll Do

At M-KOPA, you'll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.

Your key responsibilities

• Lead two AI Ops Engineers — own their delivery, development, and day-to-day work
• Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve
• Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work
• Keep the AI tooling stack healthy as usage scales across 2,500+ employees
• Stay current on emerging AI tools and technologies - know what's hype and what's actually useful
• Help refine AI training for the wider organisation, including Software Engineering teams

Technical Environment 💻

• AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)
• Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)
• Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations
• Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production

Our Approach

• Build, don't just advise — this is a hands-on team that ships working automations and agents
• Prove the value, then expand — start with two engineers, demonstrate impact, grow from there
• Product-focused mindset — treat internal teams as customers and build tooling that works
• Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz

What You Need

We're looking for someone with a strong technical background and product-focused. You won't be building models - we have Data Science teams for that. You'll be building agents, shipping automations, and leading a team that makes M-KOPA's internal operations smarter and faster.

Required Experience

• Hands-on experience building automations — scripting, workflow tools, or AI-assisted development
• Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar
• Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms
• People leadership experience — you've led or mentored engineers and can own a team's delivery and development

Why This Role?

This is a brand new team within the business, reporting to the Director of Security. The tech stack is proven - twelve months of Claude, Notion, HiBob, and Entra automations already running. The team structure is what's new. That's yours to shape. You'll start with two engineers. Prove the value. Expand from there.

The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can't scale by hiring forever. Customer-facing staff who need tools that actually work.

M-KOPA provides affordable financial and digital products to underserved communities across Africa - unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don't just save time internally - they help that mission reach more people.

If you want to decide how AI actually gets used at scale across a growing fintech – this is the opportunity