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 Prospect: 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 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





Required Skills & Hands-On Knowledge

Primary Skills

Strong understanding of Artificial Intelligence fundamentals

Working knowledge of Large Language Models (LLMs) and their applications

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

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 For

Candidates 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 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

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