Job Description

About the Role

We are looking for a motivated and curious Intern to join our Reimagining Assessments team. This role is ideal for someone passionate about leveraging Generative AI, Large Language Models (LLMs), and cloud technologies to transform how assessments are designed, delivered, and evaluated.

You will work on cutting-edge solutions involving AI-driven assessment systems, Retrieval-Augmented Generation (RAG), and scalable cloud-based architectures.

Key Responsibilities

• Assist in building and optimizing AI-powered assessment solutions using Python
• Work with Generative AI models and LLMs to design intelligent evaluation workflows
• Implement and experiment with RAG (Retrieval-Augmented Generation) pipelines
• Support development and deployment of applications on AWS
• Collaborate with cross-functional teams to prototype and test new ideas
• Analyze data and generate insights to improve assessment quality and user experience
• Document technical work and communicate findings effectively

Required Skills & Qualifications

• Currently pursuing or recently completed a degree in AI, Computer Science, Engineering, Data Science, or related field
• Strong programming skills in Python
• Basic understanding of Generative AI and Large Language Models (LLMs)
• Familiarity with RAG concepts or willingness to learn
• Exposure to AWS services (e.g., EC2, ECS, S3, Lambda) is a plus
• Good problem-solving and analytical thinking skills
• Strong communication skills (written and verbal)

Preferred Qualifications

• Hands-on experience with AI frameworks (e.g., LangChain, Hugging Face, OpenAI APIs)
• Familiarity with APIs, backend development, or data pipelines
• Interest in education technology or assessment systems

What You’ll Gain

• Hands-on experience with real-world AI/LLM applications
• Exposure to modern cloud-based architectures
• Mentorship from experienced engineers and AI practitioners
• Opportunity to contribute to impactful, innovative projects

Pay rate

The award includes a Rs 50,000 monthly allowance plus 2,000 monthly internet allowance.

You will be eligible for accrued paid sick time per the policy guidelines. Please refer to the Sick Leave Policy.