Teneo Online School
501 - 1000 employees
Founded 2018
📚 Education
👥 B2C
🛍️ eCommerce
Education • B2C • eCommerce
Teneo Online School is a leading online educational institution offering flexible learning options for students from Grade R to Grade 12. The school provides live online classes and pre-recorded lessons taught by expert teachers, accommodating various learning preferences. Teneo offers a structured curriculum with access to three top examination boards recognized locally and internationally. The school supports an interactive learning environment with resources like lesson recordings, a learning platform, and a Parent App. Students can participate in the Teneo Open Day to explore what makes it South Africa's top online school. Teneo emphasizes high-quality online schooling and aims to unlock the extraordinary potential in every child.
AI Engineer
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🔥 3 minutes ago
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Teneo Online School
501 - 1000 employees
Founded 2018
📚 Education
👥 B2C
🛍️ eCommerce
Education • B2C • eCommerce
Teneo Online School is a leading online educational institution offering flexible learning options for students from Grade R to Grade 12. The school provides live online classes and pre-recorded lessons taught by expert teachers, accommodating various learning preferences. Teneo offers a structured curriculum with access to three top examination boards recognized locally and internationally. The school supports an interactive learning environment with resources like lesson recordings, a learning platform, and a Parent App. Students can participate in the Teneo Open Day to explore what makes it South Africa's top online school. Teneo emphasizes high-quality online schooling and aims to unlock the extraordinary potential in every child.
📋 Description
• Design and build AI-enabled features for various education products, from assessments to tutoring. • Work with education partners and internal stakeholders to understand assessment practices, quality expectations and real-world constraints. • Build evaluation approaches that measure output quality, consistency, usefulness and failure modes. • Develop retrieval, prompt-management, orchestration and structured-output workflows where appropriate. • Integrate LLM APIs, AI services and education data into reliable product capabilities. • Design practical human-review, control and escalation workflows for AI-supported decisions. • Improve the reliability, latency, cost and quality of AI services in production. • Build prototypes quickly, test them against real education use cases and productionise successful approaches. • Develop suitable guardrails, monitoring and auditability for AI outputs. • Work with Backend Engineers on service architecture, data handling, integrations and scalability. • Work with Product Engineers to ensure AI features are understandable, useful and trustworthy for teachers and students. • Use AI-assisted development tools appropriately while maintaining strong engineering judgement, testing, privacy and security standards. • Write clean, tested and maintainable code.
🎯 Requirements
• 2+ years of professional data science, applied AI or machine-learning engineering experience. • Experience building AI-enabled features, prototypes or production applications using LLM APIs or related AI services. • Strong programming ability in Python, TypeScript/Node.js or similar languages. • Experience with prompt design, structured outputs, retrieval workflows, AI orchestration or agentic workflows. • Experience evaluating AI quality, reliability and safety beyond informal manual testing. • Solid understanding of APIs, databases, cloud services and production software architecture. • Ability to balance experimentation with disciplined engineering, testing, privacy and security standards. • A self-directed approach to investigating new methods, testing assumptions and improving product quality. • Comfortable working with non-technical stakeholders and education partners to understand the real problem behind a feature request. • Strong ownership, debugging and problem-solving skills. • Clear written and spoken English. • Nice to have: • Experience with retrieval-augmented generation, embeddings, vector databases or document-processing pipelines. • Experience designing evaluation datasets, test harnesses, quality metrics or human-review workflows. • Experience with data pipelines, ETL and production level data science. • Experience with privacy, security, auditability or responsible-AI practices. • Experience with modern cloud platforms and containerised application deployment. • A degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related technical discipline.
🏖️ Benefits
• Flexible working hours • Professional development opportunities
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