AIOps Lead

M-Kopa

4d•Remote

About The Position

We're hiring our first AIOps Lead 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. The Impact Your production-grade automations and agents will directly improve how 2,300+ employees work across our global operations. We've already helped over 10 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 🌍 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 5 consecutive years (2022–2026) 🚀 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

Requirements

Hands-on experience building production-grade automations and AI agents — scripting, workflow tools, or AI-assisted development
Hands-on experience building multi-agent systems using agentic frameworks — LangChain, LangGraph, MCP, Google ADK or similar
Experience with RAG pipelines — retrieval-augmented generation for internal knowledge and workflow automation
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 three 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
Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work
Build RAG pipelines for internal knowledge retrieval that ground agents in real organisational context
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