Company Description Superfan.ng is an edtech learning platform focused on African languages and cultural knowledge. The product is a gamified, quiz-first app that helps learners deepen their understanding of African proverbs, traditions, rites of passage, festivals, folklore, and customs. Designed for Africans and the global diaspora, Superfan.ng creates engaging, culturally grounded learning experiences.

The team is committed to preserving and celebrating African heritage through technology, while building scalable tools that make learning accessible and fun.

Joining

Superfan.ng means contributing to a mission-driven product at the intersection of education, culture, and innovation.

Role Description As a Backend AI Engineer at Superfan.ng, you will design, build, and maintain backend services that power AI-driven features across the platform. You will develop and optimize machine learning and NLP models that understand African languages and cultural content, integrate them into production systems, and ensure their performance, reliability, and scalability. Day-to-day, you will collaborate with product, content, and frontend teams to define technical requirements, implement APIs, manage data pipelines, and support experimentation with new AI capabilities.

You will monitor system performance, improve model accuracy,



and enhance infrastructure for continuous deployment and robust testing. This is a full-time, remote role, offering flexibility while requiring robust accountability and communication in a distributed team.

Qualifications

- Strong foundation in Computer Science and Software Development, with experience building and maintaining backend services and APIs.
- Proficiency in Neural Networks and Pattern Recognition, including designing, training, and evaluating machine learning models.
- Hands-on experience with Natural Language Processing (NLP), ideally with multilingual or low-resource languages and culturally nuanced text.
- Experience with modern backend technologies (e.g., Python, Node.js, or similar), databases, cloud platforms (e.g., AWS, GCP, Azure), and containerization tools.
- Familiarity with MLOps practices, including versioning models, monitoring performance, and deploying models to production environments.
- Ability to work independently in a remote setup, communicate clearly with cross-functional teams, and write maintainable, well-documented code.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Interest in African languages, culture, or edtech products is highly beneficial, as well as experience in startup or fast-paced environments.

📌 Backend AI Engineer (India)
🏢 Superfan NG
📍 India