We’re hiring our first Lead AI Engineer
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 we need someone to lead it, scale it, and define what it becomes.
The Impact
Your automations and agents will directly improve how 2,300+ employees work across our global operations. We have helped over 7 million customers access over $2 billion in credit. The tools you build will help that mission scale further and faster.
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 and the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022–2025)
- Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe – internal teams need intelligent tooling that actually works
- Environmental impact: We are carbon-negative, having displaced over 2 million tonnes of emissions
What You’ll Do
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.
Your key 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 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
Technical Environment
- AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, 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, Notion, HiBob, and Entra automations already running in production
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 two 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 agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.
Required Experience
- 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
Location & Benefits
- Fully remote role within UTC –1 to UTC +3 time zones
- Work with diverse teams across UK, Europe, and Africa
- Professional development programmes and coaching partnerships
- Family-friendly policies and flexible working arrangements
- Well‑being support and career growth opportunities
Equal Opportunity Statement
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily. M-KOPA does not collect or charge any money as a pre‑employment or post‑employment requirement. Applications will be reviewed on a rolling basis; M-KOPA may close the vacancy early if a suitable candidate is selected.
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