
About the Internship
We are looking for a passionate and enthusiastic AI/LLM Development Intern to join our team. This internship offers hands-on experience in building AI-powered applications, chatbots, and intelligent automation solutions using modern Large Language Models (LLMs).
Key Responsibilities
- Assist in developing AI-powered applications using Large Language Models (LLMs).
- Build, test, and integrate AI chatbots and virtual assistants.
- Work on Retrieval-Augmented Generation (RAG) solutions using enterprise documents and knowledge bases.
- Develop and maintain APIs and backend services for AI applications.
- Support the integration of AI models with web and mobile applications.
- Collaborate with the development team to optimize AI workflows and improve application performance.
- Participate in testing, debugging, and deployment of AI-based solutions.
- Document technical processes, implementations, and project outcomes.
Eligibility Criteria
Only those candidates can apply who:
- Are available for a full-time, in-office internship.
- Are available for a duration of 3 months.
- Have relevant skills and a strong interest in Artificial Intelligence and Machine Learning.
Required Skills
- Basic programming knowledge in Python.
- Familiarity with REST APIs and API integration.
- Basic understanding of Machine Learning concepts.
- Knowledge of SQL and database management.
- Understanding of Git and version control systems.
Preferred Skills
- Familiarity with LLMs such as GPT, Claude, Gemini, or open-source models.
- Exposure to AI frameworks such as LangChain, LlamaIndex, or similar tools.
- Basic knowledge of vector databases and embeddings.
- Understanding of cloud platforms such as AWS, Azure, or Google Cloud.
What You Will Gain
- Hands-on experience with cutting-edge AI technologies and LLMs.
- Exposure to real-world AI application development.
- Mentorship from experienced AI engineers.
- Opportunity to work on production-grade AI solutions and enterprise use cases.
- Certificate and Letter of Recommendation based on performance.

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