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Engineering Interns (AI & Full Stack)

salary Salary :

₹15,000 monthly

Job Description - Engineering Interns (AI & Full Stack)

About Internship

Do you want to work on real-world AI systems that handle live phone calls and conversations—with real ownership and real responsibility?

HuskyVoiceAI is a Voice AI platform building production-grade AI voice agents for industries like healthcare, recruitment, real estate, and customer support. Our systems operate in live environments, handle real customer calls, and power mission-critical workflows.

We are hiring Engineering Interns (AI & Full Stack) who are excited about owning deliverables end-to-end, shipping on time, and maintaining a very high bar for code quality and reliability.

This is not a shadow internship. You will be trusted with real features, real deadlines, and real accountability—while being supported by senior engineers.

What ownership means at HuskyVoiceAI

As an engineering intern, you will be expected to:

  • Take clear ownership of assigned features or modules
  • Deliver work on time, with minimal follow-ups
  • Maintain high standards of code quality, testing, and documentation
  • Think beyond “it works” to “it’s reliable, maintainable, and production-ready”
  • Communicate progress, blockers, and risks proactively

Selected intern's day-to-day responsibilities include:

  • Owning the development of frontend and backend features using JavaScript, Node.js, Python, Vue.js, and Tailwind CSS
  • Working on AI-powered voice applications used in live customer deployments
  • Implementing and maintaining AI and telephony workflows, including SIP-based call flows (with mentorship)
  • Writing clean, well-structured, and thoroughly tested code
  • Debugging complex issues and ensuring production stability
  • Participating in code reviews and applying feedback quickly
  • Collaborating closely with senior engineers to meet clear delivery timelines
  • Performing manual testing and validation to ensure high-quality releases

What you’ll learn during this internship:

  • How high-ownership engineering teams operate
  • How to ship production-grade AI systems under real deadlines
  • End-to-end Voice AI architecture: SIP → speech → understanding → response → action
  • Building backend services in Node.js and Python
  • Engineering discipline: testing, reviews, monitoring, and quality gates
  • How to balance speed without compromising quality

Skill(s) required

  • JavaScript
  • Node.js
  • Python
  • Vue.js
  • Tailwind CSS

Basic understanding of APIs and web applications
Strong willingness to take ownership and responsibility

Nice to have (optional, not mandatory)

  • Exposure to SIP / VoIP concepts
  • Git/GitHub experience
  • Side projects where you owned delivery end-to-end
  • Interest in AI, Voice AI, or real-time systems

Stipend: ₹15,000 per month

Who should apply (important)
This role is a good fit only if you:
  • Willing to work from the office @ HSR/Bangalore (mandatory)
  • Are comfortable being accountable for deliverables
  • Take pride in high-quality work
  • Communicate clearly and proactively
  • Can manage time, deadlines, and feedback
  • Want to grow in a high-bar engineering environment
  • Final-year students or those about to complete their final year

Growth & future opportunities
Interns who consistently demonstrate:
  • Ownership
  • On-time delivery
  • High-quality output

may be considered for:

  • Extended internships
  • PPO / full-time Engineering roles
  • Long-term ownership of core Voice AI modules


Requirements

Skill(s) required

  • JavaScript
  • Node.js
  • Python
  • Vue.js
  • Tailwind CSS


Basic understanding of APIs and web applications
Strong willingness to take ownership and responsibility

Nice to have (optional, not mandatory)

  • Exposure to SIP / VoIP concepts
  • Git/GitHub experience
  • Side projects where you owned delivery end-to-end
  • Interest in AI, Voice AI, or real-time systems


Benefits

What you’ll learn during this internship:

  • How high-ownership engineering teams operate
  • How to ship production-grade AI systems under real deadlines
  • End-to-end Voice AI architecture: SIP → speech → understanding → response → action
  • Building backend services in Node.js and Python
  • Engineering discipline: testing, reviews, monitoring, and quality gates
  • How to balance speed without compromising quality


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