Role Overview
We are seeking a hands-on AI Intern with strong interest and practical exposure to Large Language Models (LLMs) and Voice-based AI systems. This 6-month onsite internship is designed for candidates who have already worked on AI, LLM, or voice-based projects and want to deepen their experience in building real-world, production-oriented AI solutions.
Responsibilities
- Design and build LLM-powered applications using OpenAI or equivalent platforms
- Develop and test voice-enabled AI pipelines, including Speech-to-Text (STT) and Text-to-Speech (TTS)
- Work on voice-based conversational systems and LLM-driven assistants
- Assist in prompt design, response tuning, and conversation flow optimization
- Debug, test, and document AI and voice pipelines
- Collaborate with engineering teams to implement AI features end-to-end
Requirements
- Engineering students or recent graduates from 2025, 2026, or 2027 batches
- Branches: Computer Science, IT, AI & Data Science, AI/ML, Data Science, or related fields
- Strong understanding of Artificial Intelligence fundamentals
- Hands-on experience using OpenAI APIs or similar LLM frameworks
- Practical exposure to Voice AI systems (STT, TTS, conversational flows)
- Experience building LLM + voice-based projects or prototypes
- Basic proficiency in Python and API-based development
Skills
- Python
- OpenAI API
- Large Language Models
- Speech-to-Text
- Text-to-Speech
Benefits
- Hands-on experience with LLM and Voice AI systems
- Mentorship from experienced AI engineers
- Exposure to production-grade AI workflows
- Opportunity for full-time conversion based on performance