Mid-level Jobs in Africa

629 jobs found

M-KOPA

AI Operations Lead

Nairobi

Kenya

Closed for applications
International Rescue Committee

Health Unit MEAL Advisor

Nairobi

Kenya

Closed for applications
Superior Homes Kenya

Senior Accountant - Receivables

Nairobi

Kenya

Closed for applications
International Union for Conservation of Nature (IUCN)

Regional IT Network/Systems Officer

Nairobi

Kenya

Closed for applications
Aspen Network of Development Entrepreneurs (ANDE)

Regional Chapter Head, East Africa

Nairobi

Kenya

Closed for applications
PATH

Infectious Disease Surveillance Advisor- Kenya, Strengthening Infectious disease Detection Systems (STRIDES) Project

Nairobi

Kenya

Closed for applications
Pwani Oil

Senior Support -Office Assistant

Kilifi

Kenya

Closed for applications
World Food Programme

Partnership Officer (Government Engagement & Development Finance Advisor) NOD

Nairobi

Kenya

Closed for applications
Baker Hughes

Tendering Advisor – Completions & Wellbore Intervention

Lagos

Nigeria

Closed for applications

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Amref International University (AMIU)

Tutorial Fellow - Medical Surgical Nursing

Nairobi

Kenya

Closed for applications

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M-KOPA

Finance & FinTech

AI Operations Lead

Closed for applications
Job details

Contract Type

Description

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


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


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