AIOps Lead

🔥 3 minutes ago

🌐 United Kingdom, South Africa, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇿🇦 South Africa – Remote 🇰🇪 Kenya – Remote 🇳🇬 Nigeria – Remote 🇬🇭 Ghana – Remote 🇺🇬 Uganda – Remote 🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

⚙️ Operations

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M-KOPA

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

📦 Logistics

💳 Fintech

Healthcare • Logistics • Fintech

M-KOPA is a fintech platform founded in 2011 that provides digital financial services to underbanked consumers across Africa, including Kenya, Uganda, Nigeria, and Ghana. The company leverages data and IoT technology to enable digital micropayments, facilitating access to essential products and services such as smartphones, electric motorcycles, solar power systems, digital loans, and health insurance. With over $1 billion in credit extended to 3 million customers, M-KOPA is dedicated to making financing accessible for everyday essentials.

📋 Description

• Lead the AI Ops team from day one, owning delivery, growing the function, and proving its value • Lead three AI Ops Engineers, including their delivery, development, and day-to-day work • Prioritise competing requests from multiple teams using a clear prioritisation framework • Design and ship multi-agent systems and production-grade automations • Build RAG pipelines for internal knowledge retrieval • Maintain the AI tooling stack as usage scales across 2,500+ employees • Evaluate emerging AI tools and technologies based on practical value • Refine AI training for the wider organisation and Software Engineering teams • Serve as an internal consultant helping Software Engineering teams integrate AI into customer-facing products • Report to the Director of Security

🎯 Requirements

• Hands-on experience building production-grade automations and AI agents using scripting, workflow tools, or AI-assisted development • Hands-on experience building multi-agent systems with agentic frameworks such as LangChain, LangGraph, MCP, Google ADK, or similar • Experience with RAG pipelines for internal knowledge and workflow automation • Background in enterprise tooling, including Vercel/Railway, Entra, or internal platforms • People leadership experience, including leading or mentoring engineers and owning team delivery and development • Ability to work within UTC -1 to UTC +3 time zones • Successful candidates must complete pre-employment background checks, including criminal records, identification verification, academic qualifications, employment dates, and employer references

🏖️ Benefits

• Professional development programmes and coaching partnerships • Family-friendly policies • Flexible working arrangements • Well-being support • Career growth opportunities • Diverse development programs • On-the-job training • Flexible working • Equal opportunity and affirmative action employer