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OneInbox AI Internship Hackathon 2026

devpostHosted on Devpost

Fetched about 2 hours ago

Monday, July 6, 2026

to Monday, July 20, 2026

•

2 weeks long

EducationArtificial IntelligenceOpen Ended
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

6

Participants

₹20,000

Prize Pool

0

Est. Projects

OneInbox AI Internship Hackathon

The OneInbox AI Internship Hackathon is a hiring-first engineering challenge built to discover exceptional talent across AI Engineering, Voice AI Engineering, and Backend Development.

Unlike traditional hackathons, this isn't about presentations, mockups, or simple AI wrappers. Participants will solve production-inspired engineering problems that mirror the systems built at OneInbox every day.

The hackathon follows a two-round format, beginning with an Online Architecture Challenge where participants design their solution using HiDevs Architecture Copilot, followed by an Offline Hiring Hackathon at OJONE, Bengaluru, where shortlisted participants will build and demonstrate their working solutions before the OneInbox engineering team.

This isn't a competition for ideas alone. It's a hiring challenge built for engineers who can design, build, and ship.

Internship Opportunities

We're hiring across three engineering roles:

  • AI Engineer Intern
  • Voice AI Engineer Intern
  • Backend Developer Intern

Stipend: ₹20,000–₹25,000 per month
(Final compensation will be based on technical skills and performance during the hackathon.)

Luma: https://luma.com/ai-84kw

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct