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Mid-level Jobs in Mlolongo, Kenya

255 jobs found

M-KOPA

AI Operations Lead

Nairobi

• Kenya

Closed for applications
UNEP

Climate Services Financing and Sustainability Consultant (International)

Nairobi

• Kenya

Closed for applications
SAFARICOM

Engineer - Revenue Management (Convergent Charging System and Billing)

Nairobi

• Kenya

Closed for applications
SAFARICOM

Engineer - Backend Microservices

Nairobi

• Kenya

Closed for applications
SAFARICOM

Engineer - Infrastructure SRE

Nairobi

• Kenya

Closed for applications
PATH

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

Nairobi

• Kenya

Closed for applications
World Food Programme

Partnership Officer (Government Engagement & Development Finance Advisor) NOD

Nairobi

• Kenya

Closed for applications
Sun King

Territory Distribution Manager

Nairobi

• Kenya

Closed for applications
Sun King

Rider Success Manager

Nairobi

• Kenya

Closed for applications

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Sun King

PAYG LPG Credit Manager

Nairobi

• Kenya

Closed for applications

Country / Region

KenyaNigeriaUganda

Profession (Mid-level)

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M-KOPA

Finance & FinTech

AI Operations Lead

Closed for applications
Nairobi • Kenya
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


Tags
Information technology, software development, dataFinance & FinTechMid-levelKenya

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