AI Intern (LLMs and Voice AI) 6 months(Onsite)

Job Title: AI Intern (LLMs & Voice AI) Internship Duration: 6 Months Employment Type: Internship (Full-Time) Work Mode: Onsite (Work from Office) Location: Brookfield, Bangalore Stipend: ₹15,000 per month Conversion Opportunity: Performance-based Full-Time Role Eligibility Engineering students / recent graduates from 2025, 2026, or 2027 batches Branches: Computer Science, IT, AI & Data Science, AI/ML, Data Science , or related fields About the Role 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. Key Responsibilities Design and build LLM-powered applications using OpenAI or equivalent platformsDevelop 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 assistantsAssist in prompt design, response tuning, and conversation flow optimization Debug, test, and document AI and voice pipelinesCollaborate with engineering teams to implement AI features end-to-end Required Skills & Hands-On Knowledge Primary Skills Strong understanding of Artificial Intelligence fundamentals Working knowledge of Large Language Models (LLMs) and their applicationsHands-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 Secondary Skills (Good to Have) Familiarity with NLP concepts and text processingExposure to prompt engineering and conversational designAwareness of real-time voice pipelines and audio processingUnderstanding of cloud-based AI deployments What We’re Looking For Candidates who have built LLM or voice-based projects , not only theoretical knowledgeStrong curiosity, ownership, and willingness to experimentAbility to learn fast and work independentlyGood communication and documentation skills What You’ll Gain 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 Strong foundation in applied AI engineering