AI Engineering Intern

FlexiSAF Edusoft Limited

AI Engineering Training and Internship Program at FlexiSAF Edusoft transforming education in Nigeria through technology. Participants will learn to design and build intelligent AI applications like LLMs and chatbots.

Posted 7/17/2026internshipRemote • 🇳🇬 NigeriaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong Python programming skills in AI/ML contexts, with a solid understanding of LLMs, prompt engineering, and RAG pipelines. Capable of integrating APIs and developing applications using modern frameworks like LangChain and Spring Boot.

Highest-signal resume keywords

Python ProgrammingLLM UnderstandingLangChain FamiliarityAPI IntegrationSpring Boot Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI/MLPrompt EngineeringRAG PipelinesVector DatabasesREST APIsGraphQLFrontend DevelopmentBackend DevelopmentDebugging

Soft Skills

Problem-SolvingRapid Learning

Tools & Technologies

LangChainFAISSPineconeSpring Boot

Industry Keywords

EdTechAI EngineeringIntelligent ApplicationsProject-Based Learning

Tech Stack

Tools & technologies

GraphQLJavaPythonSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

This is a remote position.
FlexiSAF is a leading EdTech company driving innovation in education across Africa.
Participants will learn to design and build intelligent, LLM-powered applications using modern frameworks such as LangChain, Retrieval-Augmented Generation (RAG) and vector databases.
The 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.
Upon successful completion, participants will be well-positioned to take on AI Engineering roles within any organization building intelligent products and systems.

Requirements

What you’ll need

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

Comp & perks

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.