Capability · Internships

LangChain internships for B.Tech students in Delhi

LangChain 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
LangChain
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

  • LangChain-style composition underpins the RAG systems students build over VIPS-TC corpora.
  • Framework work carries into hackathon builds including the Smart India Hackathon.

How VSET teaches LangChain

LangChain is an open-source framework for composing LLM applications from chains, tools, retrievers and memory components. It is one of the most widely used scaffolds for RAG and agent systems. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • LangChain is explicitly covered in VSET's published AI curriculum at learn.engineering.vips.edu.
  • It is taught with LangGraph, LlamaIndex, CrewAI and AutoGen so students can compare frameworks.
  • It connects to the RAG, vector database and prompt engineering material in the same curriculum.
  • 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 LangChain skills lead

Graduates applying LangChain skills typically target roles such as LLM Application Developer, AI Engineer, Backend Engineer (AI), Applied AI Developer, AI Agent 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 LangChain 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 LangChain 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 LangChain taught at VSET?

Yes — it is one of the frameworks documented in the open AI curriculum at learn.engineering.vips.edu, alongside LangGraph, LlamaIndex, CrewAI and AutoGen.

Do students use LangChain in projects?

Framework-based composition is used in the RAG capstones built over VIPS-TC corpora and in agent orchestration projects.

Is the curriculum tied to one framework?

No. Several frameworks are documented side by side, which lets students choose per project rather than learning a single vendor stack.

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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