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Artificial Intelligence Intern | Entry Level | Fresher | Python / LLM APIs / Prompt Design | Remote

Skillzenloop · Posted today

  • India (Remote)
  • Remote
  • Internship

About the role

Job Title: Artificial Intelligence Intern | Entry Level | Fresher | Python / LLM APIs / Prompt Design | Remote

Company: SkillzenLoop

Internship Details

Mode: Virtual / Remote (India)

Duration: 1 to 3 months (Flexible)

Employment Type: Full-time internship

About the Opportunity

SkillzenLoop is hiring Artificial Intelligence Interns for freshers and entry-level candidates who are curious about how modern AI tools work and where they fall short. This internship is built around practical AI work: building small prototypes with language model APIs, designing prompts that give reliable answers and testing outputs for accuracy.

This role suits candidates who want to build a career in artificial intelligence, generative AI, machine learning applications or AI automation.

Role Overview

As an Artificial Intelligence Intern, you will work on structured prototype assignments under the guidance of experienced team members. You will learn how teams use language models on real business tasks, and how to measure the quality of AI output instead of trusting it blindly.

Key Responsibilities

  • Build small AI-powered prototypes using Python and LLM APIs, such as document summarisers, data extractors and simple chatbots
  • Write, test and refine prompts to get accurate and consistent outputs
  • Evaluate AI answers for accuracy, consistency and bias, and record the results
  • Prepare, clean and label sample data used to test prototypes
  • Explore automation ideas such as email drafting, resume parsing and text classification
  • Train and test basic machine learning models using Scikit-learn where needed
  • Use Git and GitHub for version control
  • Document every experiment, prompt and finding so the team can build on it
  • Who Can Apply
  • Freshers, entry-level candidates, or students pursuing or completing B.Tech, B.E., BCA, B.Sc (CS, IT, Maths, Statistics), MCA, M.Sc or related degrees
  • Self-taught learners who can show their skills through a GitHub project, Kaggle notebook or certificate
  • Candidates interested in generative AI and automation
  • Candidates available to work full-time for the internship period
  • Required Skills
  • Working knowledge of Python
  • Understanding of basic machine learning ideas such as training, testing and overfitting
  • Curiosity about how prompts shape the output of language models
  • Habit of testing ideas and recording what happened
  • Clear written English for documentation
  • A laptop and a stable internet connection for remote work
  • Preferred Skills (Not Mandatory)
  • Experience with Pandas, NumPy or Scikit-learn
  • Exposure to LLM APIs, LangChain, TensorFlow or PyTorch
  • A GitHub project, Kaggle notebook or AI experiment you built

What You Will Learn

  • Building prototypes with LLM APIs
  • Prompt design and testing methods
  • Evaluating AI output for accuracy and bias
  • Data preparation for AI projects
  • Documenting experiments professionally

Why Join SkillzenLoop

  • Beginner-friendly, project-based internship
  • Work from your own city anywhere in India
  • Regular feedback and guidance from experienced team members
  • AI prototypes and experiment notes you can show in future interviews
  • Certificate of completion on successful completion of the internship

Ideal Candidate Profile

We are looking for curious, careful candidates who like checking whether an idea really works. If you enjoy experimenting with AI and recording what you learn, this internship is a strong starting point.

How to Apply

Apply on this listing with your updated resume. If you have a GitHub project, a Kaggle notebook or an AI experiment, add the link so we can review your application faster. In the application form, select "Artificial Intelligence" under Job Position. SkillzenLoop is an equal opportunity employer. We welcome applicants of every gender, background and community.

Skills

PythonBasic machine learningPrompt design and testingData preparationGit and GitHubDocumentation