AI Developer

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.