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Takealot Group Software Engineering AI Academy Graduate Programme 2026

Takealot Group launches a 12-month Software Engineering AI Academy Graduate Programme in Cape Town. Open to recent graduates in computer science, data science, and related fields.


Takealot Group has introduced its next-generation Software Engineering AI Academy Graduate Programme, a 12-month initiative designed to develop exceptional graduates into highly skilled AI-focused software engineers. Based in Cape Town, this programme provides participants with hands-on exposure to large-scale e-commerce systems, cutting-edge AI technologies, and real-world business challenges.

The programme targets ambitious graduates eager to build innovative solutions while working in a fast-paced technology environment. As one of the leading e-commerce companies in Africa, Takealot aims to equip participants with both technical and professional skills necessary for long-term success in software engineering and artificial intelligence.

Programme Overview

The Software Engineering AI Academy is structured to help graduates transition from academic learning into full-scale software development roles. Over the 12-month period, participants will work alongside experienced engineers and AI specialists, gaining exposure to complex systems used by millions of customers.

The programme emphasizes practical learning, collaborative development, and continuous upskilling. Graduates will contribute to real projects while receiving mentorship and structured training. This approach allows participants to rapidly build experience within a high-growth technology environment.

What Participants Will Do

Graduates selected for the programme will engage in a variety of technical and collaborative activities, including:

  • Designing and developing AI-powered solutions
  • Translating business challenges into scalable, data-driven systems
  • Collaborating with global teams and AI practitioners
  • Working on real-world e-commerce applications
  • Gaining exposure to modern development tools and platforms
  • Building scalable software in a high-performance environment

Through these responsibilities, participants will develop both technical expertise and problem-solving capabilities.

Global Opportunity

One of the standout features of the programme is the potential for international exposure. Top-performing participants may be given the opportunity to travel to Amsterdam to learn from global AI Academy leaders. This experience allows graduates to engage with international experts and gain insights into global AI practices.

Minimum Requirements

The programme is open to recent graduates who meet the following criteria:

  • A degree in one of the following fields:
    • Computer Science
    • Engineering
    • Mathematics
    • Data Science
    • Related technical disciplines
  • Less than 12 months of work experience
  • Programming experience in languages such as Python, Ruby, Java, C#, or C++
  • Strong understanding of data structures and algorithms
  • Knowledge of object-oriented programming
  • Exposure to AI or machine learning concepts
  • Understanding of databases such as MySQL
  • Familiarity with Linux environments

These requirements ensure candidates possess foundational technical skills necessary for success in the programme.

Technical Exposure

Participants will gain experience working with a wide technology stack, including:

  • Python
  • Scala
  • Kotlin
  • Google Cloud Platform
  • Kafka
  • Kubernetes
  • Machine learning tools

This exposure helps graduates develop versatile skills applicable across the technology industry.

Life at Takealot Group

The programme offers more than just technical training. Participants will benefit from a supportive and collaborative work culture. Key benefits include:

  • Hybrid working model balancing office and remote work
  • Access to global learning platforms such as Udacity and Coursera
  • Open and collaborative engineering environment
  • Social events and team-building activities
  • Staff discounts on millions of products
  • Birthday leave
  • Career growth opportunities within the organisation

These benefits contribute to a well-rounded graduate experience.

Career Growth Opportunities

The programme is designed as a pipeline for future roles within the Takealot ecosystem. Graduates may pursue careers in:

  • Software engineering
  • Artificial intelligence and machine learning
  • Data engineering
  • Cloud infrastructure development
  • E-commerce platform development

Takealot promotes from within, making this programme an ideal entry point into long-term employment.

Inclusive Employment

Takealot Group is an equal opportunity employer and encourages applications from candidates from previously disadvantaged groups and individuals living with disabilities. This commitment reflects the organisationโ€™s dedication to diversity and inclusive hiring practices.

Application Process

Interested candidates are required to submit:

  • Updated Curriculum Vitae
  • Academic transcripts
  • Supporting documents (if required)

Applications are submitted through the Takealot careers platform. Candidates should ensure all information is accurate and complete before submission.

Final Thoughts

The Takealot Software Engineering AI Academy Graduate Programme offers a unique opportunity for recent graduates to gain experience in artificial intelligence and large-scale software development. With global exposure, advanced technical training, and strong career growth potential, the programme provides a solid foundation for aspiring software engineers. Graduates ready to build the future of AI in a real-world environment are encouraged to apply and take advantage of this career-defining opportunity.

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Scholarly Africa is a premier online platform dedicated to empowering African students, researchers, and professionals with high-quality educational resources, scholarships, and career opportunities. Our mission is to bridge the knowledge and opportunity gap across the continent by providing timely information on academic programmes, funding opportunities, internships, learnerships, and skill-building initiatives.

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