Senior AI Enablement Engineer
AI summary
FairMoney Microfinance Bank is hiring a Senior AI Enablement Engineer in Lagos on a hybrid basis. The role focuses on driving AI adoption across engineering teams by building internal tools, automations, and workflows that improve developer productivity and software delivery. Candidates should have 5+ years of software engineering experience and strong hands-on skills with AI-assisted development tools.
- Hybrid role based in Lagos, Nigeria
- Drive AI adoption across engineering squads
- Build internal tools, automations, and developer workflows
- 5+ years software engineering or developer tooling experience required
- Hands-on with AI coding tools and modern AI-assisted development
- Work with AWS, GCP, GitHub Actions, Kubernetes, and Ruby on Rails/Go backends
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in factory, internship, entregadorThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Hybrid contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior AI Enablement Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Fairmoney Microfinance Bank and the role in Not specified.
- Add concrete examples related to factory, internship, entregador, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobzilla Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Jobzilla Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior AI Enablement Engineer role in factory, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Fairmoney Microfinance Bank before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
If you are passionate about AI, developer tooling, automation, and improving the way software teams build and deliver products, we want you to join our team!
This is a hands-on role for an experienced engineer who enjoys building, experimenting, and solving complex problems with AI. You will also help shape how AI is adopted across the engineering organisation by developing tools, workflows, and best practices that enable teams to work more effectively.
As a Senior AI Enablement Engineer at FairMoney, you will drive the adoption of AI-assisted engineering practices across our technology teams. You will work closely with engineering squads and technical leaders to identify opportunities where AI can improve development workflows, developer productivity, automation, and the overall software delivery process.
Responsibilities
- We are looking forward to having you work on:
- Developing reusable AI-enabled tools, workflows, and best practices that can scale across engineering teams;
- Working closely with engineers and technical leaders to identify and implement high-impact AI use cases;
- Building scripts, automations, internal tools, and developer workflows that improve engineering productivity;
- Driving continuous improvement by measuring the impact of AI initiatives and identifying new opportunities to improve engineering efficiency.
- Managing the adoption of AI-assisted engineering practices across engineering squads;
- Providing hands-on technical guidance and enablement to squads adopting AI-assisted development;
- Evaluating AI coding tools, agents, and emerging technologies and integrating relevant solutions into engineering workflows;
- Our Technical Stack:
- Our ML pipeline is API-Flask (Python);
- We run our CI/CD pipeline with GitHub Actions;
- Prototype of a data warehouse on GCP (GCS, BigQuery, Cloud Composer);
- AI-assisted development and developer productivity tooling.
- We are hosted on AWS: Kubernetes, SNS, SQS, Lambdas, RDS Aurora MySQL and PostgreSQL, DynamoDB, S3, and Kinesis;
- Our customer-facing product is an Android application;
- It communicates with Ruby on Rails or Go-lang backends (Sidekiq, RSpec);
Requirements
Strong hands-on
Experience
with AI-assisted software development and modern AI coding tools;
5+ years of
in software engineering, developer tooling, automation, or a related technical role;
Proven
building internal tools, automations, developer platforms, or engineering workflows;
Strong understanding of software engineering practices, architecture, testing, CI/CD, and development workflows;
Strong programming and scripting skills, with proficiency in at least one language such as Python, Go, JavaScript, or Ruby;
Excellent communication and collaboration skills, with the ability to work effectively with engineers and technical leaders;
Strong problem-solving skills and the ability to translate complex engineering challenges into practical solutions;
taking ownership of technical initiatives and driving them from idea to implementation.
driving the adoption of new engineering tools, technologies, or practices across multiple teams;
designing and implementing AI-enabled developer tools or platforms at scale;
Strong understanding of microservices and modern software development architectures;
measuring developer productivity, engineering efficiency, or the impact of AI and automation initiatives;
integrating LLMs, AI APIs, agents, or third-party tools into engineering workflows;
mentoring engineers and providing technical leadership across engineering teams.
working with AI coding assistants, AI agents, LLM-based developer tools, or similar technologies;
working with cloud providers, preferably AWS, alternatively GCP/Azure;
Preferred Qualifications
Benefits
Training & Development.
Private Health Insurance
Pension Plan
Paid Time Off
How to Apply
Interested and qualified candidates should:
Click here to apply online
Recruitment Process
Technical interviews with members of the Engineering team for 45-60 minutes.
Screening call with a member of the recruitment team for 30 minutes.
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