AI Engineer (12 months or 18 months fixed-term)

Candidates should possess strong execution skills with technical proficiency in software engineering or data science, preferably with Python and/or Go. Applied AI experience, including understanding generative AI models and techniques like prompt chaining, RAG, tool-calling, and fine-tuning, is essential. Experience in testing and quality assurance with a data-driven approach, along with data analysis skills to optimize user experience, is required. Strong communication and collaboration skills for cross-functional teamwork are necessary, as is a growth mindset and awareness of ethical AI considerations and bias mitigation strategies. A solid understanding of education technology, curriculum development, and learning science is also needed.