Lead AI Engineer - Financial Inclusion

Impact

Your automations and agents will directly improve how 2,300+ employees work across our global operations. We've already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster.

• 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 are carbon-negative, having displaced over 2 million tonnes of emissions

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.

• 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 will 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

• AI & Agentic Frameworks
  :
  Claude, Claude Code, Anthropic tooling, Lang Chain, 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

• 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

We're looking for someone with a strong technical background and product-focused mind. 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.

• Hands‑on experience building automations – scripting, workflow tools, or AI-assisted development
• Hands‑on experience building agents using agentic frameworks – Lang Chain, 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

• Fully remote role within UTC –1 to UTC +3 time zones
• Work with diverse teams across UK, Europe, and Africa
• Professional development programmes and coaching partnerships
• Family-friendly policies and flexible working arrangements
• Well-being support and career growth opportunities

We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.

• Connected
  : 2.5 million first-time smartphone users connected
• Prosperous
  : 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents
• Green
  : 2.1 million tonnes of CO₂ avoided through clean energy…