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AI Engineering Training and Internship Program

FlexiSAF Edusoft Limited · Nigeria

FlexiSAF Edusoft LimitedNigeriaPosted 12 November 2026

At a glance

Closing date
The listing does not give one. Employers often close early when they have enough applicants, so apply soon.
Where
Nigeria, Nigeria
How to apply
On myjobmag.com, where the employer takes applications.
This employer
FlexiSAF Edusoft Limited has 7 open roles on RezSync.

Job Description

Jobposting service

FlexiSAF is a leading EdTech company driving innovation in education across Africa. From school administration to intelligent learning platforms, we are on a mission to transform how institutions educate and students learn.

We are launching a specialized AI Engineering Training and Internship Program designed to equip passionate software developers with the skills and hands-on experience needed to transition into full-fledged AI Engineers.

Over four intensive months, participants will learn to design and build intelligent, LLM-powered applications using modern frameworks such as LangChain, Retrieval-Augmented Generation (RAG) and vector databases.

This program emphasizes practical, project-based learning; from implementing AI-driven workflows and chatbots to integrating models into production-ready applications.

Trainees will also gain exposure to Spring Boot for enterprise API integration and containerization for scalable deployments. Ideal candidates are curious, driven individuals with a strong foundation in programming who are eager to explore the fast-evolving world of Generative AI.

Upon successful completion, participants will be well-positioned to take on AI Engineering roles within any organization building intelligent products and systems.

Requirements

Minimum qualification of a High School (S.S.C.E).

Strong Python programming skills, especially in AI/ML contexts.

Basic understanding of LLMs and prompt engineering.

Familiarity with LangChain or willingness to learn quickly.

Basic knowledge of vector databases like FAISS or Pinecone.

Understanding of RAG pipelines and embedding concepts.

Experience working with APIs (REST, GraphQL).

Exposure to frontend or backend development.

Familiarity with Java and Spring Boot.

Strong problem-solving and debugging skills.

Ability to learn new tools and frameworks rapidly.

Benefits

Hands-on Learning: Work on real AI challenges, from simple automation scripts to production-grade intelligent systems.

Industry-Relevant Tools: Gain experience with LangChain, RAG, LlamaIndex, OpenAI API, Spring Boot, and Docker—tools shaping the future of AI development.

Capstone Portfolio Projects: Build a project portfolio demonstrating your end-to-end AI engineering capabilities.

Mentorship & Collaboration: Learn alongside experienced engineers and mentors who guide you through practical problem-solving.

Career Readiness: Graduate with the skills and confidence to take on AI Engineering roles within our organization or similar high-growth companies.

Certification of Completion: Participants who meet performance expectations will receive a program certificate endorsed by the organization.

go to method of application »

Minimum qualifications

Secondary School (SSCE)

How to apply

Use the link(s) below to apply on company website.

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https://www.myjobmag.com/apply-now/1386494

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