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Conversational AI Internship

Ship chatbots and voice assistants people use.

An 8–12 week paid internship where you design and deploy real conversational experiences across chat and voice channels for actual business use cases, under a practicing conversational AI builder.

Move from conversation design theory to a deployed assistant

This is the internship that follows our Conversational AI training — you're placed on a real chatbot or voice assistant project, working on conversation flows, NLU components, or channel integrations tied to an actual business need.

You'll ramp up on the project's conversation design and codebase in week one, move into guided flow-building work, and by the second half of the internship, you'll be owning a conversational feature end to end, from design through testing and deployment.

8–12 Weeks
Duration
Online & Offline
Format
Conversational AI
Track
Performance-based
Stipend
Online / Offline
Mode
8–12 Weeks
Duration
4–6 Interns
Cohort Size
Full-time, Weekdays
Schedule

What you'll work on

Real conversational product work, scoped to grow with your skill level.

Conversation Flow Design

Map and build real dialogue flows for an actual chatbot or voice assistant.

Intent & Entity Work

Build and tune intent classification and entity extraction for real user inputs.

Dialogue Management

Implement and refine state and context tracking across multi-turn conversations.

Channel Integration

Connect a bot to a real channel such as WhatsApp or a web widget.

Code Review Participation

Have your pull requests reviewed, and review others', as part of the team's workflow.

Testing & Analytics Review

Test conversation flows and use analytics to find and fix real drop-off points.

Technologies you'll work with

Python
Core Language
NLU Frameworks
Intent Recognition
Entity Extraction
Slot Filling
Speech-to-Text / TTS
Voice Interfaces
Messaging APIs
Channel Integration
LLM APIs
Dialogue Generation
Webhooks
Backend Integration
Conversation Analytics
Observability

How the internship is structured

A four-phase structure that moves you from onboarding to owning a real conversational feature.

01. Onboarding & Project Ramp-up

Week 1
  • Tooling and environment setup
  • Conversation design and codebase walkthrough
  • Meet your mentor and team
  • First small, guided task

02. Guided Flow-building Work

Weeks 2–6
  • Paired work on real dialogue and NLU tickets
  • Daily standups and sprint planning
  • Code review on every pull request
  • Mid-internship progress check-in

03. Independent Feature Ownership

Weeks 7–10
  • Own a conversational feature end-to-end with mentor support
  • Run conversation testing
  • Participate in deployment
  • Document your work for the team

04. Final Presentation & Evaluation

Weeks 11–12
  • Present your shipped work to the team
  • Mentor evaluation and written feedback
  • Certificate and LOR eligibility review
  • Full-time opportunity discussion, if applicable

The kind of work interns actually ship

Real examples of feature scope Conversational AI interns take on.

Order Status Intent Flow

Built a new intent and dialogue flow for an active e-commerce support chatbot.

NLUWebhooksLLM APIs

Voice Appointment Rescheduling

Added a rescheduling flow to a live voice-enabled appointment assistant.

Speech-to-TextDialogue ManagementAPIs

WhatsApp Lead Qualification Flow

Shipped a lead qualification flow for a multi-channel bot on WhatsApp.

Messaging APIsNLUAnalytics

What makes this internship real

Real Business Use Cases, Not Demos

You work on chatbot or voice features tied to actual support or sales needs.

A Named Mentor

You're paired with one conversational AI builder for the full internship who reviews your work.

Iterative Testing Practice

You practice the test-refine-redeploy loop real conversational AI teams use.

Eligibility

Basic Python Knowledge

Comfortable reading and writing basic Python is expected.

NLU Exposure Helpful

Prior exposure to NLU concepts or our Conversational AI training program is a plus, but not mandatory.

Full-time Availability

Able to commit to a full-time, weekday schedule for the internship's duration.

A GitHub Profile

Any prior project work or coursework repos you can share with your application.

What you walk away with

Performance-based Stipend

A paid internship, with stipend tied to your track and prior experience.

Certificate of Completion

Awarded to every intern who completes the program's full evaluation.

Letter of Recommendation

Issued to strong performers based on their mentor's written evaluation.

A Real Shipped Portfolio

A deployed conversational feature you can show and speak to in interviews.

Full-time Consideration

Top performers are considered first when Conversational AI roles open.

A Direct Mentor Reference

A working conversational AI builder who can speak to your work firsthand.

Why intern with YashOrbit

You Ship, Not Just Learn

Every intern's work goes into a real deployed conversational feature, not a demo bot.

Mentors Who Are Still Building

You're reviewed by builders actively shipping conversational AI products to clients.

A Clear Path to Full-time

Strong performance is the primary path to a full-time offer, evaluated transparently.

Frequently asked questions

Yes, this is a paid internship with a performance-based stipend, shared with you during the selection process.

Ready to intern on real Conversational AI work?

Apply for the Conversational AI internship and start shipping assistants that actually go live.

Free consultation
Dedicated team
Agile methodology