Mid-level Information technology, software development, data jobs in Ngewa, Kenya

15 jobs found

M-KOPA

AI Operations Lead

Nairobi

Kenya

Closed for applications
Apeiro Kenya

Solutions Architect

Nairobi

Kenya

Closed for applications
Apeiro Kenya

Product Lead AI

Nairobi

Kenya

Closed for applications
Apeiro Kenya

Product Manager ( Digital Health Platforms)

Nairobi

Kenya

Closed for applications
Apeiro Kenya

Senior QA Engineer

Nairobi

Kenya

Closed for applications
M-KOPA

Data Scientist - Credit Modeling

Nairobi

Kenya

Closed for applications
UNEP

Biodiversity Knowledge Management and Learning Consultant

Nairobi

Kenya

Closed for applications
Nutrition International

Information Management & Reporting Officer

Nairobi

Kenya

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

Regional IT Network/Systems Officer

Nairobi

Kenya

Closed for applications

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SAFARICOM

Engineer - Revenue Management (Convergent Charging System and Billing)

Nairobi

Kenya

Closed for applications

Country / Region

Profession (Mid-level)

Seniority (Information technology, software development, data)

© Fuzu Ltd

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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