Generative AI - Internship

About the internship:Intern's Responsibilities

Develop Generative AI applications using Python and Large Language Models (LLMs).

Design and optimize prompts to improve AI response quality.

Integrate AI APIs such as OpenAI and Google Gemini into applications.

Build AI-powered solutions using API integration and JSON data handling.

Explore Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

Work with frameworks such as LangChain and LlamaIndex to develop AI applications.

Test, evaluate, and optimize AI-generated outputs for accuracy and reliability.

Follow Responsible AI practices and implement basic AI application security measures.

Use Git and GitHub for version control and collaborative development.

Mentor and guide students in Generative AI concepts, hands-on projects, and practical implementation.

Contribute to real-world Generative AI projects and technical documentation.

Work Mode: This is a full-time, on-site internship. Preference will be given to candidates willing to work from the office.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 27th Oct'26 and 1st Dec'26are available for duration of 6 monthshave relevant skills and interestsStipend:INR₹ 10,000 - 15,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, 5 days a weekSkills required:Python, Machine Learning, Neural Networks, Deep Learning, Artificial intelligence and Python LibrariesAbout Company:SmartBridge is specialized in emerging technologies like IoT, machine learning, deep learning, augmented reality, virtual reality, embedded systems for IoT. We provide training & product consultation in the above technology domains. SmartBridge is one of the ed-tech partners of IBM India Private Limited.

Responsibilities

Intern's Responsibilities

Develop Generative AI applications using Python and Large Language Models (LLMs).

Design and optimize prompts to improve AI response quality.

Integrate AI APIs such as OpenAI and Google Gemini into applications.

Build AI-powered solutions using API integration and JSON data handling.

Explore Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

Work with frameworks such as LangChain and LlamaIndex to develop AI applications.

Test, evaluate, and optimize AI-generated outputs for accuracy and reliability.

Follow Responsible AI practices and implement basic AI application security measures.

Use Git and GitHub for version control and collaborative development.

Mentor and guide students in Generative AI concepts, hands-on projects, and practical implementation.

Contribute to real-world Generative AI projects and technical documentation.

Work Mode: This is a full-time, on-site internship. Preference will be given to candidates willing to work from the office.