Lead Engineer - AI Agents

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 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

What You'll Do

At M-KOPA, you'll lead the AI Ops Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and Lang Chain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products.

Your key 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

Technical Environment

• AI & Agentic Frameworks:
  Claude, Claude Code, Anthropic tooling, Lang Chain, Lang Graph, MCP, multi-agent orchestration, 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, Claude Code, Notion, HiBob, and Entra automations already running in production — you're building on proven foundations, not starting from zero

Our Approach

• Build, don't just advise — this is a hands-on team that ships working automations and agents
• Prove the value, then expand — start with three 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

What You Need

We're looking for someone with a strong technical background and product-focused mindset. You won't be building models - we have Data Science teams for that. You'll be building multi-agent systems, shipping production-grade automations, and leading a team that makes M-KOPA's internal operations smarter and faster.

Required Experience:

• 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 — Lang Chain, Lang Graph, MCP, Google ADK or similar
• Experience with RAG pipelines — retrieval-augmented…