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    • Jobs at FlexiSAF Edusoft Limited

    Posted: Nov 12, 2026
    Expires: Not specified
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    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 s...

    View All Jobs at FlexiSAF Edusoft Limited


     

    AI Native Backend Development Intern

    Job Description

    • The Flexisaf Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Software Development.
    • You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.
    • Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.
    • This program is open to students seeking SIWES placements, recent graduates seeking NYSC placement, Graduates seeking Post-NYSC experience and students seeking industry experience or anyone interested in upskilling and starting a career in tech. 
    • NOTE: This is not a PAID opportunity therefore, payment as stipends to cover data allowance and other needs are not available for participants at this time with an EXCEPTION of Youth Corp Members. Every participant is expected to have a working laptop and access to data to allow FULL participation including progress tracking at different times throughout the cohort.
    • Also, While this is a remote tech-training program, Interns accepted and participating under the SIWES or NYSC categories are expected on-site during the period of their placement with respect to the requirements as stipulated by the Industrial Trust Fund (ITF) and National Youth Service Corps (NYSC) therefore, ensure you select the appropriate Internship category.

    Requirements

    • Basic working knowledge of Java; understanding of Back End Development frameworks such as Spring, Flyway, Quarkus is not mandatory for beginners.
    • Interest and basic skills in Machine Learning, Artificial Intelligence is an added advantage
    • Be analytical and possess mathematics skills.
    • Excellent Organization Skills.
    • Accountable via set metrics and performance indicators. 
    • Excellent Time Management Skills.
    • Resourceful, troubleshooting aptitude while being result-oriented.
    • Open to learning.
    • The Ability to work with a team is important.
    • AI-Assisted engineering with human verification.
    • Security-first engineering mindset
    • Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

    Benefits

    • Mentorship from Experienced Software Development and Design Engineers.
    • First-hand exposure to Software Development Industry experience.
    • Career Guidance and Practical Training on work-ready Soft skills.

    go to method of application »

    AI-Native Python Programming Intern

    Job Description

    • The FlexiSAF Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Software Development.
    • You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.
    • This Python Programming Training Internship is a structured, project-driven learning experience designed to help aspiring developers, students and early-career professionals build strong technical foundations in Python programming and software problem-solving.
    • The program takes participants through a progressive three-phase journey; from beginner, through intermediate, to advanced, with each stage blending hands-on learning, collaborative exercises and real-world projects relevant to emerging tech domains such as data science, AI/ML, and automation.
    • By the end of the program, participants will have developed solid coding skills, contributed to multiple individual and group projects, and built a professional portfolio that reflects their ability to design, implement, and optimize Python-based solutions. 
    • Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable.
    • During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.
    • Finally it is open to students seeking SIWES placements, recent graduates seeking NYSC placement, Graduates seeking Post-NYSC experience and students seeking industry experience or anyone interested in upskilling and starting a career in tech. 
    • Also, While this is a remote tech-training program, Interns accepted and participating under the SIWES or NYSC categories are expected on-site during the period of their placement with respect to the requirements as stipulated by the Industrial Trust Fund (ITF) and National Youth Service Corps (NYSC) therefore, ensure you select the appropriate Internship category.

    Requirements
    Interested Participants should meet the following minimum requirements to apply:
    Educational Background:

    • Open to students, graduates and early-career professionals in any field (STEM background not mandatory).

    Interest & Commitment:

    • A strong interest in programming, technology, or problem-solving.
    • Willingness to commit approximately 10–15 hours per week for the entire 4-month duration.

    Basic Computer Skills:

    • Comfort with using a computer, navigating folders, and installing software.
    • No prior coding experience is required;beginners are welcome. However, basic programming knowledge is an advantage.

    Technical Access:

    • A functional laptop or desktop computer.
    • Reliable internet connection for virtual learning and collaboration.

    Growth Mindset:

    • A passion for learning, teamwork and continuous improvement.
    • Readiness to engage in hands-on coding and project-based work.

    Benefits
    Participants in this training internship will gain:

    • Structured Learning Pathway: Progressive 3-phase curriculum from beginner to advanced.
    • Hands-on Experience: Weekly coding challenges and real-world projects.
    • Mentorship: Access to experienced developers and peer learning groups.
    • Portfolio Development: Build a GitHub-based portfolio with professional-level code samples.
    • Certification: Receive a completion certificate after meeting performance and project requirements.
    • Career Readiness: Gain foundational skills for entry-level roles in software development, data analysis, or AI/ML fields.

    go to method of application »

    Generative AI and Data Science Intern

    Job Description

    • At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions.
    • We believe that data science and artificial intelligence (AI) are two of the most important and transformative fields of our time, and we are committed to helping individuals develop the skills and knowledge they need to succeed in these fields.
    • Our Generative AI and Data Science program is designed to nurture the next generation of AI talents who will drive innovation and opportunities. It is designed to equip participants with the skills required to excel in this dynamic field.
    • The program is divided into three levels: beginner, intermediate, and advanced. Each level covers a range of topics, from the basics of data science and AI to more advanced concepts such as machine learning, deep learning, and generative AI.
    • Accepted Participants will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost, their progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable.
    • During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.

    Requirements

    • Familiarity or Working knowledge in at least one programming language such as Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnis required.
    • Familiarity or Working knowledge of backend development principles, frameworks and technologies is essential. This includes experience with server-side programming languages such as Python, Java, or Node.js and frameworks such as Flask or Django, as well as proficiency in working with databases and RESTful APIs.
    • Familiarity or Understanding of fundamental AI concepts and techniques such as machine learning, deep learning, neural networks and architectures, data modeling, computer vision, and  NLP (Natural Language Processing). 
    • Familiarity with Data Manipulation and Analysis: Proficiency in data manipulation and analysis, applicants should have basic knowledge of large datasets, performing data preprocessing, feature engineering and data visualization using visualization tools such as Google Data Studio, Power BI, Tableau, e.t.c.
    • Familiarity with AI Ethics and Bias.
    • Accountable via set metrics and performance indicators
    • Analytical and problem-solving skills.
    • Communication Skills and Teamwork.
    • Portfolio or Demonstrable Projects that demonstrate your skills and passion for AI development. This can include personal projects, academic projects, or contributions to open-source AI projects would be an advantage for participants joining at the Level 3 (Advanced stage).

    Benefits

    • Mentorship from Industry Experts: Gain valuable insights and guidance from industry-leading AI and Data Science professionals who will provide mentorship during the program.
    • Hands-on Projects: Apply your learning to real-world projects, providing you with practical experience and a strong portfolio.
    • Access to Tools: Explore the latest AI and Data Science tools and technologies, including generative AI frameworks, to stay ahead of the curve.
    • Career Advancement: Prepare for a successful career in AI and Data Science with our comprehensive program, opening doors to exciting opportunities.
    • Networking Opportunities: Connect with a diverse and supportive community of fellow learners and professionals in the field.

    go to method of application »

    AI Engineering Training and Internship Program

    Job Description

    Jobposting service

    • 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.

    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.

    go to method of application »

    AI Native Frontend Development Intern

    Description

    • The Flexisaf Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Software Development.
    • You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.
    • Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable.
    • During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.
    • This program is open to students seeking SIWES placements, recent graduates seeking NYSC placement, Graduates seeking Post-NYSC experience and students seeking industry experience or anyone interested in upskilling and starting a career in tech.
    • Also, While this is a remote tech-training program, Interns accepted and participating under the SIWES or NYSC categories are expected on-site during the period of their placement with respect to the requirements as stipulated by the Industrial Trust Fund (ITF) and National Youth Service Corps (NYSC) therefore, ensure you select the appropriate Internship category.

    Requirements

    • Basic working knowledge of HTML, CSS, Javascript. Knowledge React Js and other Front End development frameworks are not mandatory for beginners.
    • Be analytical and possess mathematics skills.
    • Excellent Organization Skills.
    • Accountable via set metrics and performance indicators. 
    • Excellent Time Management Skills.
    • Resourceful, troubleshooting aptitude while being result-oriented.
    • Open to learning, feedback and iteration.
    • The Ability to work with a team is important.
    • Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

    go to method of application »

    Website Design Intern

    Job Description

    • The Flexisaf Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Web Design.
    • You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.
    • Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable.
    • During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on projects that proffer solutions to real-life problems while also acquiring some work-ready, soft-skills along the way.

    Requirements

    • While the opening information lists the skills below as requirements, you are not expected to be proficient in them from the start as you will be learning and developing these skills along the way. Enthusiasm, a willingness to learn, and creativity are what matter most!
    • Familiarity with Design Tools: Working knowledge of Figma and Adobe Creative Studio (e.g., XD, Illustrator, Photoshop) which will be used in  creating graphic designs such as logos, flyers, wireframes, mockups and high-fidelity designs during the training.
    • Design Fundamentals: A basic understanding of foundational design principles such as color theory, layout, typography and usability.
    • Ability to conduct research and apply findings to design improvements.
    • Adaptable to learning and using new tools, technologies such as Content Management Systems, Template style Website Design applications, e.t.c and design methodologies.
    • Basic Web development Skills such as HTML and CSS are an advantage.

    Benefits

    • Mentorship from Experienced Software Development and Design Engineers.
    • First-hand exposure to Software Development Industry experience.
    • Career Guidance and Practical Training on work-ready Soft skills.

    go to method of application »

    AI Native UI/UX Design Intern

    Job Description

    • The Flexisaf Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Design.
    • You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.
    • Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.
    • This program is open to students seeking SIWES placements, recent graduates seeking NYSC placement, Graduates seeking Post-NYSC experience and students seeking industry experience or anyone interested in upskilling and starting a career in tech.
    • Also, While this is a remote tech-training program, Interns accepted and participating under the SIWES or NYSC categories are expected on-site during the period of their placement with respect to the requirements as stipulated by the Industrial Trust Fund (ITF) and National Youth Service Corps (NYSC) therefore, ensure you select the appropriate Internship category.

    Requirements

    • Understanding of Design Foundations, working knowledge of Design tools such as Figma and Adobe Creative Studio (XD, Photoshop) e.t.c. Basic knowledge of CSS, CSS extension languages (LESS, SASS) and CSS Preprocessor tools (for advanced UI/UX Interns).
    • Basic understanding of UIUX design principles, design thinking and human-centered design
    • Familiarity with figma.
    • Interest in user research, usability testing, and solving real user problems.
    • Willingness to learn accessibility and inclusive design principles.
    • Resourceful, troubleshooting aptitude while being result-oriented.
    • Basic understanding of visual design: layout, typography, color, spacing, and hierarchy.
    • Open to learning.
    • The Ability to work with a team is important.
    • Interest in AI tools and how they can support UX research, ideation, writing, prototyping, and design evaluation.
    • Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

    Method of Application

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