About The Position

We're hiring our first Lead AI Automation Engineer to lead a team that designs, ships, and scales automations and AI agents across M-KOPA. This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes. 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. It's your chance to be part of something that's literally transforming lives across an entire continent. At M-KOPA, you'll lead the AI Operations 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 Engineering 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.

Requirements

  • 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

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 Engineering teams

Benefits

  • Professional development programmes and coaching partnerships
  • Family-friendly policies and flexible working arrangements
  • Well-being support and career growth opportunities
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