Artificial Intelligence Intern

As an AI Intern, you will assist in designing, building, and testing AI applications with exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-driven automation workflows.

You will work closely with the AI Engineering team to learn how scalable AI solutions are built, gain hands-on experience with real business use cases, and contribute to projects that improve operational efficiency and automate repetitive tasks.

This is a learning-focused role designed for someone early in their AI/ML journey who is eager to build practical, hands-on experience under the guidance of experienced engineers.

KEY RESPONSIBILITIES

AI & Generative AI Development

• Assist in building and testing AI applications using Generative AI technologies, under mentorship.
• Support development with Large Language Models (LLMs) such as Claude, OpenAI, Gemini, and open-source models.
• Help build and test Retrieval-Augmented Generation (RAG) components for domain-specific use cases.
• Experiment with prompt engineering to improve accuracy, performance, and user experience.
• Research and document emerging AI tools and technologies relevant to business workflows.

AI Automation & Workflow Support

• Support the design and testing of AI-powered automation workflows using tools such as n8n and Airtable.
• Assist in building simple automation scripts and workflow logic to streamline day-to-day processes.
• Help integrate AI models with internal tools, spreadsheets, and APIs under supervision.

REQUIRED SKILLS & QUALIFICATIONS

Technical Skills

• Currently pursuing or recently completed a degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field.
• Foundational understanding of AI/ML concepts, and curiosity about Generative AI and LLMs.
• Familiarity with the basics of APIs, databases (SQL/MySQL), and version control (Git) is a plus.
• Willingness to learn prompt engineering, embeddings, and vector databases on the job.
• Exposure to any AI-assisted coding tools (e.g., Cursor, GitHub Copilot) is a plus, but not required.

Preferred Skills

• Coursework, projects, or personal experiments involving LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with vector databases such as Pinecone, Chroma, or FAISS.
• Basic awareness of cloud platforms such as AWS, Azure, or GCP.
• Prior internship, academic project, or hackathon experience related to AI/automation.

EDUCATIONAL QUALIFICATION

Pursuing (final year) or completed B.E. / B.Tech / BCA / MCA / M.Tech in Computer Science, Information Technology, Artificial Intelligence, or Machine Learning from a recognized university.