AI Engineering Training and Internship Program

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).

• 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.
  
  NOTE: This is an unpaid internship. Applications submitted at this time will ONLY be taken into consideration towards the January to April (2027) cohort of the program. However, intending participants whose SIWES or NYSC placement begin after January 2027 or extend beyond April 2027 are encouraged to apply and communicate their dates accordingly.