Lead AI Engineer – Financial Inclusion
2026-06-30T06:29:16+00:00
M-KOPA SOLAR
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8090/logo/m.png
https://www.m-kopa.com/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Manufacturing
Computer & IT, Science & Engineering, Management, Business Operations
2026-07-13T17:00:00+00:00
8
What You’ll Do
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.
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
What You Need
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.
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
- 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
- Strong technical background and product-focused.
- Experience building agents, shipping automations, and leading a team.
JOB-6a43623c832f0
Vacancy title:
Lead AI Engineer – Financial Inclusion
[Type: FULL_TIME, Industry: Manufacturing, Category: Computer & IT, Science & Engineering, Management, Business Operations]
Jobs at:
M-KOPA SOLAR
Deadline of this Job:
Monday, July 13 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Tuesday, June 30 2026, Base Salary: Not Disclosed
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JOB DETAILS:
What You’ll Do
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.
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
What You Need
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.
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
Work Hours: 8
Experience in Months: 24
Level of Education: bachelor degree
Job application procedure
Application Link: Click Here to Apply Now
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