
51 - 200 employees
Founded 2007
📚 Education
☁️ SaaS
Education • Software • SaaS
FlexiSAF Edusoft Limited is an innovative company that provides comprehensive software solutions tailored for educational institutions. Their offerings include school management software for K12 and tertiary institutions, application tracking systems, and examination preparation platforms. With a commitment to enhancing the educational experience, FlexiSAF leverages technology to streamline processes and improve efficiency for schools, training programs, and online learning environments.
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51 - 200 employees
Founded 2007
📚 Education
☁️ SaaS
Education • Software • SaaS
FlexiSAF Edusoft Limited is an innovative company that provides comprehensive software solutions tailored for educational institutions. Their offerings include school management software for K12 and tertiary institutions, application tracking systems, and examination preparation platforms. With a commitment to enhancing the educational experience, FlexiSAF leverages technology to streamline processes and improve efficiency for schools, training programs, and online learning environments.
• 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.
• 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.
• 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.
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