AI Engineering Training and Internship Program

Job Description

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• 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.