Alphadot Technologies

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

1. Assist in developing AI-powered applications using Large Language Models (LLMs).
2. Build, test, and integrate AI chatbots and virtual assistants.
3. Work on Retrieval-Augmented Generation (RAG) solutions using enterprise documents and knowledge bases.
4. Develop and maintain APIs and backend services for AI applications.
5. Support the integration of AI models with web and mobile applications.
6. Collaborate with the development team to optimize AI workflows and improve application performance.
7. Participate in testing, debugging, and deployment of AI-based solutions.
8. 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.
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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.