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 product
suite powers 50 million daily engagements across voice, video and messaging channels. Exotel
powers 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 customer
engagement 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 $100
million Series D funded company with $60 million in ARR.
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.
Assist in developing and testing GenAI-driven voice bots for real-time conversations
Support integration of Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Text-to-Speech (TTS) systems
Work on preparing conversational AI datasets for fine-tuning systems
Help design testing frameworks for automated LLM evaluations
Prototype new conversation agents and voice bot capabilities with various open-source models
Document experiments and share insights with the broader team
Basic programming experience in Python or equivalent
Understanding of basic programming practices like OOPs, test driven development, modular programming, data structures
Familiarity with concepts in machine learning and natural language processing
Curiosity to learn about speech technologies and voice interaction design
Good problem-solving and communication skills
Familiarity with real-time audio processing or streaming APIs
Understanding of how voice bots work (ASR, NLU/LLM, TTS pipeline)
Knowledge of frameworks like LangChain or RAG pipelines
Basic understanding of MLOps or deploying ML models in production
Experience working on open-source models, fine-tuning LLMs etc
Contributions to open-source, ML projects, or relevant hackathons