Background information about the job or company (e.g., role context, company overview)

At M-KOPA, you'll lead the AI Operations 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 Engineering integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.

Responsibilities or duties

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'll 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 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

Qualifications or requirements (e.g., education, skills)

We're looking for someone with a strong technical background and product-focused. 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.

Experience needed

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

• 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'll 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 Engineering teams

• Scripting
• Workflow tools
• AI-assisted development
• Building agents using agentic frameworks (LangChain, MCP, Google ADK or similar)
• Enterprise tooling (rapid prototyping tools like Vercel/Railway, identity automation like Entra, internal platforms)
• People leadership

• Hands-on experience building automations
• Hands-on experience building agents using agentic frameworks
• Background in enterprise tooling
• People leadership experience