Company Description Superfan.ng is an edtech learning platform focused on native African languages and cultural knowledge. The platform uses a gamified, quiz-first experience to test deep understanding of proverbs, traditions, rites of passage, festivals, folklore, and customs. Designed for Africans and the diaspora, Superfan.ng aims to make cultural learning engaging, accessible, and interactive. The team is committed to building technology that preserves and celebrates diverse African heritage while delivering a high-quality digital learning experience. Role Description The Lead AI Engineer role at Superfan.ng is a full time remote position responsible for designing, building, and maintaining AI systems that power the platform’s language and culture learning experiences. Day-to-day tasks include developing and optimizing machine learning models, leading the integration of neural networks and NLP components into the product, and collaborating with product and content teams to translate learning objectives into AI-driven features. The Lead AI Engineer will oversee the technical roadmap for AI, review and ship production-quality code, mentor engineers, and ensure systems are scalable, reliable, and secure. This role will also involve evaluating new tools and frameworks, improving data pipelines,



and using pattern recognition techniques to enhance personalization and user engagement. Qualifications
• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-level coding.
• Practical experience with Neural Networks and Pattern Recognition for building and deploying machine learning models.
• Hands-on expertise in Natural Language Processing (NLP), especially for multilingual or low-resource languages.
• Experience leading AI or ML projects end-to-end, from problem definition and data collection to deployment and monitoring.
• Proficiency in modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and programming languages such as Python.
• Familiarity with cloud platforms, MLOps practices, and scalable data pipeline design.
• Ability to work independently in a remote environment, communicate clearly with cross-functional teams, and mentor other engineers.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Interest in African languages and cultures, or experience building products for diverse, global user bases, is an advantage.

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