AI Engineering Training and Internship Program

FlexiSAF Edusoft Limited is a Software company that is focused primarily on education. Since its inception in 2010, FlexiSAF has continued to take giants strides in reinventing learning and inspiring people to make lifelong positive impact. ‍ With over 500 institutions, (primary, secondary, tertiary, government parastatals and learning centres), over 100 staff and 6 branches, everything we do has our clients at the epicentre. Applications are invited for:

Job Title: AI Engineering Training and Internship Program

Location: Remote

Job Description

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.