GEN AI Intern

InternHunt; Bengaluru; On-site; INR 167,000 - 335,000; Part time

Job summary

InternHunt is seeking a Generative AI Intern to join our technical team in Bengaluru. You will work on practical GenAI projects, building, testing, and improving AI applications with hands-on experience.

You will use Python for AI/ML development, explore LLMs, prompt engineering, and RAG techniques, and collaborate with developers, trainers, and product teams. This role offers exposure to cutting-edge GenAI tools and workflows.

Qualifications

• Interest in AI and GenAI internships with real project experience.
• Willingness to learn and apply AI development methods.
• Strong problem-solving and collaboration abilities.

Responsibilities

• Develop and test Generative AI applications and features.
• Use Python for AI/ML development and automation.
• Explore LLMs, prompt engineering, RAG, and AI APIs.
• Create and test prompts for business use cases.
• Work with documents, text, and structured/unstructured data for AI applications.
• Develop RAG-based AI solutions using vector databases.
• Test, debug, and troubleshoot AI applications.
• Research GenAI tools, frameworks, models, and techniques.
• Collaborate with developers, trainers, and product teams.
• Document experiments, results, and technical findings.

Skills

Generative AI

Python

LLMs

Prompt engineering

RAG

AI APIs

Vector databases

Testing & debugging

Documentation

Job description

We are looking for a Generative AI Intern who is interested in Artificial Intelligence, Machine Learning, and emerging GenAI technologies. The intern will work with our technical team on practical AI projects and gain hands-on experience in building, testing, and improving Generative AI applications.

Key Responsibilities

• Assist in developing and testing Generative AI applications and features.
• Work with Python for AI/ML development and automation.
• Explore and work with LLMs, Prompt Engineering, RAG, and AI APIs.
• Assist in creating and testing prompts for different business use cases.
• Work with documents, text, and structured/unstructured data for AI applications.
• Support development of RAG-based AI solutions using vector databases.
• Perform testing, debugging, and basic troubleshooting of AI applications.
• Research new GenAI tools, frameworks, models, and techniques.
• Collaborate with developers, trainers, and product teams.
• Document experiments, results, and technical findings.