Location: Bengaluru,Karnataka,India
About Us:Exotel is the emerging market’s leading full-stack customer engagement platform and business-focused virtual telecom operator. Incorporated in 2011, Exotel’s cloud-based productsuite powers 50 million daily engagements across voice, video and messaging channels. Exotelpowers unified customer engagement to over 6000 companies in 60+ countries, including India,SE Asia, the Middle East, and Africa. Today, some of the fastest-growing companies in the emerging markets (Ola, Swiggy, Flipkart,GoJek, Byju’s, Urban Company, HDFC Bank, Zomato, Oyo, etc.) manage their customerengagement with Exotel’s suite of a communication API, Ameyo’s omnichannel contact centre(merger), and Cogno AI‘s conversational AI platform (acquisition) over the cloud. We are a $100million Series D funded company with $60 million in ARR. About the Role:Join our GenAI team working on the future of voice-based conversational agents. As a GenAI Intern, you'll help design, build, and evaluate AI-powered voice bots and agentic AI systems that interact with users over telephony and other audio channels. This is a hands-on opportunity to explore real-world applications of LLMs, ASR, and TTS in a fast-moving environment. Responsibilities:Assist in developing and testing GenAI-driven voice bots for real-time conversationsSupport integration of Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Text-to-Speech (TTS) systemsWork on preparing conversational AI datasets for fine-tuning systemsHelp design testing frameworks for automated LLM evaluationsPrototype new conversation agents and voice bot capabilities with various open-source modelsDocument experiments and share insights with the broader teamRequired Skills:Basic programming experience in Python or equivalentUnderstanding of basic programming practices like OOPs, test driven development, modular programming, data structuresFamiliarity with concepts in machine learning and natural language processingCuriosity to learn about speech technologies and voice interaction designGood problem-solving and communication skills Good-to-Haves:Familiarity with real-time audio processing or streaming APIsUnderstanding of how voice bots work (ASR, NLU/LLM, TTS pipeline)Knowledge of frameworks like LangChain or RAG pipelinesBasic understanding of MLOps or deploying ML models in productionExperience working on open-source models, fine-tuning LLMs etcContributions to open-source, ML projects, or relevant hackathons
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