GenAI Intern

Training Basket; Dadri; On-site; INR 300,000 - 420,000; Full time

Job summary

Training Basket in India seeks a curious AI/ML trainee to support Generative AI projects and LLM-based applications. You will assist in developing and testing models, work with LangChain, LlamaIndex, and Hugging Face, and help evaluate responses for accuracy and relevance.

A collaborative team environment offers hands-on learning with real-world datasets and rapid iteration. Ideal candidates are pursuing or have completed a CS/AI-related degree, with Python basics, ML fundamentals, and a strong

Qualifications

• Pursuing or completed degree in CS/AI/Data Science or related field.
• Basic Python programming and understanding of ML concepts.
• Familiarity with REST APIs and JSON.
• Knowledge of NLP fundamentals and Generative AI concepts.

Responsibilities

• Assist in developing and testing Generative AI applications using LLMs.
• Work with AI models and APIs such as OpenAI, Gemini, or open-source models.
• Support prompt engineering, optimization, and AI response evaluation.
• Assist in building AI-powered chatbots, virtual assistants, and automation tools.
• Work on Retrieval-Augmented Generation (RAG) applications.
• Support document processing, text generation, summarization, and semantic search projects.
• Assist in integrating LLM APIs with Python-based applications.
• Collaborate with AI/ML engineers and maintain project reports.

Skills

Python programming

ML fundamentals

NLP basics

REST APIs

Git/GitHub

Analytical skills

Communication skills

Education

Bachelor's/Master's in CS/AI

Tools

LangChain

LlamaIndex

Hugging Face

Pandas

NumPy

Scikit-learn

Job description

Assist in developing and testing Generative AI applications using Large Language Models (LLMs).

Work with AI models and APIs such as OpenAI, Gemini, or open-source models.

Support prompt engineering, prompt optimization, and AI response evaluation.

Assist in building AI-powered chatbots, virtual assistants, and automation tools.

Work on Retrieval-Augmented Generation (RAG) applications.

Support document processing, text generation, summarization, and semantic search projects.

Assist in integrating LLM APIs with Python-based applications.

Work with frameworks such as LangChain, LlamaIndex, or Hugging Face.

Perform data preprocessing, cleaning, and preparation for AI applications.

Test and evaluate AI model responses for accuracy, relevance, and reliability.

Collaborate with AI/ML engineers and developers on ongoing projects.

Maintain technical documentation and project reports.

Stay updated with emerging trends and technologies in Generative AI.

Requirements

Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.

Basic knowledge of Python programming.

Understanding of Machine Learning, Deep Learning, and NLP fundamentals.

Familiarity with Generative AI concepts and Large Language Models (LLMs).

Basic understanding of prompt engineering.

Knowledge of REST APIs and JSON.

Familiarity with Python libraries such as Pandas, NumPy, and Scikit-learn.

Basic knowledge of Git and GitHub.

Good analytical, problem-solving, and communication skills.

Willingness to learn new AI tools and technologies.