AI Engineer - Intern

India
Internship
Student (College)
 

AI Engineer - Intern (India)



About CommentSold
CommentSold is America’s #1 live selling SaaS platform, helping creators turn their audiences into engaged communities and thriving businesses. With over 50 team members already based in India.
Pop.store is the fastest-growing AI-native commerce platform for creators, enabling them to turn content into conversions across Instagram, TikTok, and YouTube. We empower creators and brands with cutting-edge tools to scale their commerce efforts through high-performing, creator-native content.


Location

India - Remote

Stipend

₹15,000 per month

Duration

3 – 6 Months

Eligibility

B.Tech / B.E. / M.Tech (CS, IT, AI/ML or related)

Start Date

Immediate / Rolling Basis

Type

Pat-Time Internship 20 Hours Per Week

 

About the Role

We are looking for a motivated and curious AI Engineer Intern to join our team and contribute to the development of our cutting-edge AI platform. This is a hands-on learning opportunity where you will work alongside experienced engineers, gain practical exposure to real-world AI systems, and build skills that will accelerate your career in artificial intelligence.

 

Key Responsibilities

  • Work on development and improvement of our AI platform and core infrastructure
  • Learn and apply our internal AI toolset to build, test, and iterate on features
  • Study and implement prompt engineering techniques, including comment response analogies and contextual prompting strategies
  • Assist in designing, refining, and evaluating prompts for various AI use cases
  • Analyze model outputs and contribute to quality improvement initiatives
  • Collaborate with senior engineers on research, prototyping, and experimentation tasks
  • Document learnings, experiments, and technical findings clearly
 

What You Will Learn

  • Practical prompt engineering — including analogy-based prompting, comment response design, and chain-of-thought techniques
  • Architecture and internals of production-grade AI platforms
  • Best practices for evaluating and benchmarking LLM outputs
  • Real-world AI tooling, APIs, and development workflows
  • Collaboration in a fast-paced, AI-first engineering environment
Required Skills & Qualifications
  • Currently pursuing or recently completed a degree in Computer Science, IT, AI/ML, or a related field
  • Basic understanding of machine learning concepts and large language models (LLMs)
  • Familiarity with Python programming
  • Strong curiosity, eagerness to learn, and problem-solving mindset
  • Good written and verbal communication skills in English
Good to Have
  • Prior exposure to prompt engineering or working with AI APIs (e.g., OpenAI, Anthropic, Hugging Face)
  • Experience with version control using Git
  • Understanding of NLP concepts such as tokenization, embeddings, and attention
  • Personal projects, research work, or coursework related to AI/ML


 
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