Capability · Internships

LangGraph internships for B.Tech students in Delhi

LangGraph 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
LangGraph
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 orchestrators built with LangGraph are a named VSET capstone pattern.
  • These orchestrators are commonly paired with student-built MCP servers for tool access.

How VSET teaches LangGraph

LangGraph is a framework for building stateful, graph-structured agent workflows where nodes are steps or agents and edges encode control flow. It suits multi-agent systems that need cycles, branching and durable state. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • LangGraph is explicitly covered in VSET's AI curriculum at learn.engineering.vips.edu.
  • It is taught alongside the ~100 page agent-protocols library and the 160+ page MCP library.
  • CrewAI and AutoGen are documented in parallel so orchestration approaches can be compared.
  • Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.

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 LangGraph skills lead

Graduates applying LangGraph skills typically target roles such as AI Agent Engineer, LLM Application Developer, AI Systems Architect, 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 LangGraph 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 LangGraph 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.

Which orchestration framework do VSET capstones use?

LangGraph is the framework named in the multi-agent orchestrator capstone pattern; CrewAI and AutoGen are also covered in the curriculum.

What makes LangGraph relevant for students?

It handles stateful, branching agent workflows, which is what the multi-agent capstones and the agent-protocol coursework require.

Is it taught with the protocol material?

Yes — the ~100 page A2A/agent-protocols library and the 160+ page MCP library sit in the same published curriculum.

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

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