Key Responsibilities
AI Development and Integration:
- Develop and optimize AI solutions leveraging tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems.
- Build and integrate AI-driven features into EdTech platforms to support adaptive learning, content personalization, and intelligent tutoring.
EdTech Solutions Development:
- Design AI applications tailored to the education sector, such as virtual tutors, automated assessments, and recommendation systems.
- Collaborate with educators and curriculum designers to align AI functionalities with educational goals.
Model Training and Fine-Tuning:
- Train and fine-tune LLMs for specific EdTech use cases, ensuring they deliver accurate and meaningful interactions.
- Apply transfer learning techniques to adapt general models for education-specific tasks.
AI Tool Utilization:
- Leverage Claude.ai and Perplexity.ai to create innovative solutions for interactive learning and data-driven insights.
- Experiment with and incorporate features from emerging Anthropics technologies to enhance the platform’s capabilities.
Research and Innovation:
- Stay abreast of developments in AI and EdTech to implement state-of-the-art solutions.
- Conduct exploratory research on how advanced AI tools can address key challenges in education.
Collaboration and Stakeholder Engagement:
- Collaborate with product managers, UX designers, and other developers to deliver AI-powered EdTech features.
- Clearly communicate AI concepts and capabilities to both technical and non-technical stakeholders.
Requirements
Qualifications
Education:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is an advantage.
Technical Skills:
- Proven expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems.
- Strong proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face.
- Deep understanding of NLP techniques, LLM architectures, and transformer-based models.
- Experience with API integrations and deploying AI/ML models in production environments.
EdTech Experience:
- Demonstrated experience in developing AI solutions for educational platforms.
- Knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills to explain complex AI concepts effectively.
- A collaborative mindset with a passion for leveraging AI to improve education.
Preferred Experience:
- Familiarity with adaptive learning systems, gamification in education, or chatbot implementations.
- Experience working with cloud platforms such as AWS, GCP, or Azure.
- Prior involvement in projects requiring the integration of AI for real-time interactions.