Capability · Internships

AI Engineering internships for B.Tech students in Delhi

AI Engineering 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
AI Engineering
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

  • The capstone pattern — RAG systems, MCP servers, LangGraph orchestrators, LoRA fine-tunes — is an AI engineering portfolio in itself.
  • Students take these systems into hackathons including the Smart India Hackathon.

How VSET teaches AI Engineering

AI engineering is the discipline of building production systems on top of AI models — retrieval, orchestration, tool integration, evaluation and deployment — rather than training models from scratch. It is where most industry AI work now sits. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • VSET's published curriculum is engineering-oriented: MCP (160+ pages), agent protocols (~100 pages), RAG, vector databases, orchestration frameworks and fine-tuning.
  • Framework coverage spans LangChain, LangGraph, LlamaIndex, CrewAI and AutoGen.
  • AI safety and evaluation material covers the reliability side of shipping AI systems.
  • Taught 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 AI Engineering skills lead

Graduates applying AI Engineering skills typically target roles such as AI Engineer, LLM Application Developer, AI Platform Engineer, Machine Learning Engineer, Applied AI Developer. 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 AI Engineering 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 AI Engineering 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 VSET's AI teaching theoretical or build-oriented?

The published curriculum is heavily systems-oriented — MCP, agent protocols, RAG, vector databases and orchestration frameworks — and the capstone pattern is building working systems.

What does an AI engineering portfolio from VSET look like?

Typically a RAG system over VIPS-TC corpora, an MCP server, a LangGraph multi-agent orchestrator and a LoRA fine-tune of an open-weight model.

Is AI engineering a separate branch?

No. It is how the AI & ML and AI & DS tracks are taught; VSET's seven B.Tech programmes do not include a separate AI engineering degree.

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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