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 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.

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 Software 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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