Job Description: AI Intern

Role: Artificial Intelligence (AI) Intern

Responsibilities

• Develop and implement AI and Machine Learning models to solve real-world problems.

• Work with Large Language Models (LLMs), Generative AI, and prompt engineering.

• Build AI-powered applications, chatbots, and automated workflows using LLM APIs.

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

• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

• Integrate AI solutions with APIs, databases, and existing applications.

• Build automation workflows for tasks such as OCR-based document processing, lead management, and CRM operations.

• Test, evaluate, and optimize AI model outputs for accuracy, reliability, and performance.

• Collaborate with the engineering and product teams to develop and deploy AI solutions.

Required Skills

• Strong understanding of Python programming.

• Basic knowledge of Machine Learning, Deep Learning, and NLP.

• Familiarity with LLMs, Generative AI, prompt engineering, and APIs.

• Knowledge of Git, GitHub, REST APIs, and databases.

• Familiarity with frameworks such as LangChain, LangGraph, Flask, or FastAPI is a plus.

• Problem-solving skills and willingness to learn new AI technologies.

Preferred Qualifications

• Pursuing a degree in Computer Science, Electronics, Data Science, or a related field.

• Experience building AI/ML projects, chatbots, RAG systems, or automation workflows.

• Familiarity with deploying AI applications using cloud platforms or Hugging Face Spaces.

Learning Outcomes
Gain hands-on experience in AI development, LLM integration, intelligent automation, model evaluation, and deploying real-world AI applications.