Job Title: AI Intern (LLMs & Voice AI)Internship Duration: 6 MonthsEmployment Type: Internship (Full-Time)Work Mode: Onsite (Work from Office)Location: Brookfield, BangaloreStipend: ₹15,000 per monthConversion Opportunity: Performance-based Full-Time Role
EligibilityEngineering students / recent graduates from 2025, 2026, or 2027 batchesBranches: Computer Science, IT, AI & Data Science, AI/ML, Data Science, or related fields
About the RoleWe are seeking a hands-on AI Intern with solid 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 ResponsibilitiesDesign 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 optimizationDebug, test, and document AI and voice pipelines Collaborate with engineering teams to implement AI features end-to-end




Required Skills & Hands-On KnowledgePrimary SkillsStrong understanding of Artificial Intelligence fundamentalsWorking knowledge of Large Language Models (LLMs) and their applications Hands-on experience using OpenAI APIs or similar LLM frameworksPractical exposure to Voice AI systems (STT, TTS, conversational flows)Experience building LLM + voice-based projects or prototypesBasic proficiency in Python and API-based development
Secondary Skills (Good to Have)Familiarity with NLP concepts and text processing Exposure to prompt engineering and conversational design Awareness of real-time voice pipelines and audio processing Understanding of cloud-based AI deployments
What We’re Looking ForCandidates who have built LLM or voice-based projects, not only theoretical knowledge Strong curiosity, ownership, and willingness to experiment Ability to learn fast and work independently Good communication and documentation skills
What You’ll GainHands-on experience with LLM and Voice AI systemsMentorship from experienced AI engineersExposure to production-grade AI workflowsOpportunity for full-time conversion based on performanceStrong foundation in applied AI engineering

📌 AI Intern (LLMs and Voice AI) 6 months(Onsite)
🏢 IMPACTO DIGIFIN TECHNOLOGIES
📍 Bengaluru