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Mad Street Den logo — Mad Street Den AI Systems Intern in Sultanpur, Uttar Pradesh
Mad Street Den VerifiedActively Hiring

AI Systems Intern

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Location

Sultanpur, Uttar Pradesh

Work Mode

Hybrid

Duration

2 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Artificial Intelligence

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About the Internship

Join Mad Street Den in Sultanpur as an AI Systems Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI systems and workflow automation work. About the role As an AI Systems Intern at Mad Street Den…

About Mad Street Den

Mad Street Den offers a mentor-led AI Systems Intern in Sultanpur with live project work in artificial intelligence, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
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Sultanpur, Uttar PradeshVerified employer1 opening
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Skills Required

LLM Agents & Tool UsePythonAPI OrchestrationPrompt EngineeringWorkflow AutomationVector DatabasesError Handling & RetriesWebhooks & Event PipelinesObservability for AI SystemsTypeScript

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), BCA, MCA or M.Sc (Computer Science) who are based in or willing to work from Sultanpur. You should be keen to learn LLM Agents & Tool Use, Python, API Orchestration on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
32,000/month

Stipend · 2 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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