About the Role

We are looking for an enthusiastic AI Engineering Intern who is interested in building AI-powered systems that interact with the physical world. The ideal candidate should have an interest in hardware integration, microphones, speakers, voice interfaces, and AI systems.

Key Responsibilities
Assist in developing and testing AI-powered voice applications
Work with microphones, speakers, audio devices, and embedded hardware
Integrate hardware components with AI/ML systems
Work with speech-to-text (STT), text-to-speech (TTS), and voice assistants
Test audio input/output and troubleshoot hardware-related issues
Assist with AI model and API integration
Develop prototypes combining AI + hardware
Conduct testing, debugging, and performance optimization
Document technical work and experiments

Requirements
Pursuing or recently completed a degree/diploma in AI, Machine Learning, Computer Science, Electronics, Robotics, or a related field
Basic understanding of AI/ML concepts
Knowledge of microphones, speakers, audio systems, or hardware components




Basic programming skills, preferably Python
Understanding of APIs and software-hardware integration is a plus
Solid problem-solving and troubleshooting skills
Willingness to learn and experiment with current technologies

Valuable to Have
Experience with Raspberry Pi, Arduino, ESP32, or similar platforms
Knowledge of LLMs, OpenAI APIs, speech recognition, or voice AI
Familiarity with Linux, IoT, embedded systems, or electronics
Basic understanding of audio processing

Internship Details

Duration: 3–6 Months
Type: Paid Internship
Work Mode: Hybrid
Stipend: 600 to 2000

What You Will Learn
AI + hardware integration
Voice AI and conversational systems
Speech recognition and text-to-speech
Audio hardware testing
AI APIs and LLM integration
Real-world AI product development

Who Should Apply?
Students or freshers who are genuinely interested in AI Engineering + Hardware + Voi

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