Capability · Internships

CrewAI internships for B.Tech students in Delhi

CrewAI internships go to students who can show working code, not just a transcript. For B.Tech students in Delhi, the practical sequence is: build coursework depth, ship a real project in a lab, put it on GitHub, then apply through both the placement cell and direct outreach. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, the coursework side is documented coursework depth inside B.Tech CSE (AI & ML), with project work running through the AICTE IDEA Lab.

At a glance

Topic
CrewAI
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

What students actually build

  • Multi-agent capstones at VSET follow the orchestrator pattern, with LangGraph named as the primary framework and CrewAI covered as an alternative approach.
  • Agent projects are taken into hackathons including the Smart India Hackathon.

How VSET teaches CrewAI

CrewAI is an open-source framework for building teams of role-based LLM agents that collaborate on tasks with defined responsibilities and hand-offs. It emphasises a crew metaphor over low-level graph wiring. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • CrewAI is one of the agent frameworks documented in VSET's AI curriculum at learn.engineering.vips.edu.
  • It is covered alongside LangGraph and AutoGen so students can compare orchestration styles.
  • The agent-protocols (A2A) library provides the communication background for role-based crews.
  • Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where CrewAI skills lead

Graduates applying CrewAI skills typically target roles such as AI Agent Engineer, LLM Application Developer, Applied AI Developer, AI Engineer, Automation Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

Frequently asked questions

When should I start applying for CrewAI internships?

Most students target the summer after second or third year. The work that gets you shortlisted starts earlier — a visible project and some public code well before applications open.

What do CrewAI internship recruiters actually look at?

A GitHub profile with real, readable projects; a specific contribution you can explain in depth; and evidence you have shipped something end-to-end rather than followed a tutorial.

Is CrewAI part of the VSET curriculum?

Yes — it is one of the agent frameworks documented at learn.engineering.vips.edu, together with LangChain, LangGraph, AutoGen and LlamaIndex.

How does CrewAI differ from LangGraph in the coursework?

Both are covered as orchestration options; the named capstone pattern uses LangGraph for multi-agent orchestrators, with CrewAI studied as a role-based alternative.

Do students need cloud credits to run agent crews?

Local open-weight models can be run on the AICTE IDEA Lab's GPU workstations.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

Related