Lead Engineer - AI Agents

M-Kopa

1d•Remote

About The Position

We're hiring our first Lead Engineer - AI Agents 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 production-grade automations and agents will directly improve how 2,300+ employees work across our global operations. The tools built will help the mission of providing financial inclusion to Africa's Every Day Earners scale further and faster. This role offers the chance to be part of something that's transforming lives across an entire continent. The role involves mission-driven engineering, with every automation built helping internal teams and customer-facing staff deliver financial inclusion. It offers global recognition as part of 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. The role presents scale challenges with 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe, requiring intelligent tooling that works. The company is also 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