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Software Engineer Internship By Exotel India
Software Engineer Internship By Exotel India
Exotel is a leading full-stack customer engagement platform and virtual telecom operator catering to businesses across emerging markets. Backed by Series D funding and operating at a $60 million ARR, Exotel powers over 50 million daily engagements across voice, video, and messaging for clients including Ola, Flipkart, Zomato, HDFC Bank, and many more across 60+ countries. As a Gen AI Intern, you will work with the team shaping the future of voice-based conversational AI. This hands-on role involves building and optimizing AI-powered voice bots using LLMs, ASR, and TTS systems.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Must be a student or recent graduate in Computer Science, Engineering, AI/ML, or a related field.
  • Basic experience in Python programming.
    Strong foundational knowledge in:
  • Object-Oriented Programming (OOP)
  • Data Structures and Algorithms.
  • Test-Driven Development (TDD) and modular coding.
  • Familiarity with Machine Learning and Natural Language Processing (NLP) concepts.
  • Passionate about AI/ML, speech technologies, and conversational systems.
    Preferred Skills (Good-to-Have):
  • Knowledge of real-time audio processing, streaming APIs.
  • Understanding of ASR-NLU-TTS pipelines.
  • Familiarity with tools like LangChain, RAG pipelines.
  • Experience with MLOps, open-source model fine-tuning, or ML hackathons.
    Note: This internship is exclusively available in India. Specifically, in Bangalore (Karnataka).
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    Responsibilities
    As an intern, you will:
  • Build and test Gen AI-based voice bots for real-time audio interactions.
  • Integrate Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Text-to-Speech (TTS) systems.
  • Prepare and refine datasets for training conversational AI systems.
  • Develop testing frameworks for evaluating LLM performance.
  • Prototype new voice agent features using open-source AI models.
  • Document experiments and share findings with the team.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    Software Engineer Internship By Exotel India
    SCHOLARSHIP PROVIDER
    Exotel India
    APPLICATION DEADLINE
    25 April
    EDUCATION LEVEL
    Engineering
    Bachelors
    Refer a Friend & Earn

    Spread the word about our platform and

    earn INR 6,000 for 120 successful referrals.

    Start sharing today!

    Exotel is a leading full-stack customer engagement platform and virtual telecom operator catering to businesses across emerging markets. Backed by Series D funding and operating at a $60 million ARR, Exotel powers over 50 million daily engagements across voice, video, and messaging for clients including Ola, Flipkart, Zomato, HDFC Bank, and many more across 60+ countries. As a Gen AI Intern, you will work with the team shaping the future of voice-based conversational AI. This hands-on role involves building and optimizing AI-powered voice bots using LLMs, ASR, and TTS systems.