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 [link removed] 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 [link removed] 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.

Originally posted on Himalayas