AI Engineering Training and Internship Program

This is a remote position. 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. Interested Applicants are advised to apply as soon as they can. Requirements - 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. - Minimum Qualification: High School (S.S.C.E). 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.