Multiple Internship Opportunities at FlexiSAF Edusoft Limited

About

FlexiSAF Edusoft Limited is a Nigerian technology company specialising in educational software and digital learning solutions. Established in 2010, the company develops solutions that support learning across primary, secondary and tertiary institutions, government agencies and learning centres. With over 500 institutional clients, more than 100 employees and six branches, FlexiSAF is committed to improving education through technology and innovation.

Job Description

Available Internship Positions

FlexiSAF Edusoft Limited is inviting applications from students, graduates, NYSC members and aspiring technology professionals for its internship and technical training programmes in the following areas:

1. AI Native UI/UX Design Intern – Remote

2. AI Native Backend Development Intern – Remote

3. AI-Native Python Programming Intern – Abuja

4. Generative AI and Data Science Intern – Remote

5. AI Native Frontend Development Intern – Remote

6. Website Design Intern – Abuja

The FlexiSAF Internship Programme is designed to equip participants with practical technology skills through structured learning, hands-on assignments and project-based training.

Participants will follow a guided curriculum using learning resources provided at no cost. Their progress will be monitored throughout the programme, with opportunities to receive mentorship from experienced professionals, collaborate with other learners and work on practical projects that address real-world challenges.

The programme is open to:

• Students seeking SIWES placements.

• Recent graduates interested in NYSC placements.

• Graduates seeking post-NYSC work experience.

• Students looking for industry exposure.

• Individuals interested in developing technology skills and starting careers in the tech industry.

Position-Specific Requirements

1. AI Native UI/UX Design Intern

• Basic understanding of UI/UX design principles, design thinking and human-centred design.

• Familiarity with Figma and design tools such as Adobe XD and Photoshop.

• Understanding of visual design principles, including layout, typography, colour, spacing and hierarchy.

• Interest in user research, usability testing and solving user problems.

• Willingness to learn accessibility and inclusive design.

• Interest in using AI tools for research, ideation, prototyping and design evaluation.

• Basic knowledge of CSS and related tools is an advantage, particularly for advanced-level participants.

• Good teamwork, problem-solving and communication skills.

2. AI Native Backend Development Intern

• Basic working knowledge of Java.

• Interest or basic skills in artificial intelligence and machine learning are an advantage.

• Understanding of backend development frameworks such as Spring, Flyway and Quarkus is beneficial but not compulsory for beginners.

• Analytical and mathematical skills.

• Good organisation and time-management abilities.

• Accountability, troubleshooting and problem-solving skills.

• Interest in AI-assisted software engineering and security-conscious development.

• Ability to work effectively in a team.

3. AI-Native Python Programming Intern

• Open to students, graduates and early-career professionals from any academic discipline.

• Strong interest in programming, technology and problem-solving.

• Willingness to commit approximately 10–15 hours weekly throughout the four-month programme.

• Basic computer skills and ability to install software.

• Previous coding experience is not compulsory, although basic programming knowledge is an advantage.

• Access to a functional laptop or desktop computer and reliable internet.

• Willingness to participate in practical assignments, collaborative exercises and projects.

4. Generative AI and Data Science Intern

• Working knowledge of at least one programming language, such as Python, and relevant libraries including TensorFlow, PyTorch or Scikit-learn.

• Understanding of backend development, server-side programming, databases and RESTful APIs.

• Familiarity with machine learning, deep learning, neural networks, data modelling, computer vision and natural language processing.

• Basic knowledge of data preprocessing, feature engineering and data visualisation tools such as Power BI, Tableau or Google Data Studio.

• Awareness of AI ethics and algorithmic bias.

• Strong analytical, problem-solving and communication skills.

• Ability to work in a team and meet performance expectations.

• A portfolio or demonstrable AI projects is an advantage for applicants entering the advanced level.

5. AI Native Frontend Development Intern

• Basic working knowledge of HTML, CSS and JavaScript.

• Knowledge of React.js and other frontend frameworks is not compulsory for beginners.

• Good analytical and mathematical skills.

• Strong organisational and time-management abilities.

• Ability to troubleshoot problems and work towards results.

• Willingness to learn, receive feedback and improve through iteration.

• Ability to work effectively in a team.

Qualifications & Requirements

6. Website Design Intern

• Familiarity with design tools such as Figma and Adobe Creative Studio, including XD, Illustrator and Photoshop.

• Basic understanding of colour theory, layout, typography and usability.

• Ability to conduct research and apply findings to improve designs.

• Willingness to learn new tools, content management systems, website design applications and design methodologies.

• Basic knowledge of HTML and CSS is an advantage.

• Creativity, adaptability and willingness to learn are important.

Note: For the Website Design Intern position, the advertised design tools and skills are learning areas; applicants are not expected to be proficient in everything before joining the programme.

How to Apply