Capability · Internships

Tool Calling and Function Calling internships for B.Tech students in Delhi

'Function calling' here means an LLM requesting an external tool in a structured format. It is not the ordinary programming-language act of calling a function, which is covered in the core programming courses. Tool Calling and Function Calling 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
Tool Calling and Function Calling
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

  • Building MCP servers — which define exactly what tools a model may call — is an explicit part of the VSET capstone pattern.
  • Student-built MCP servers expose tools and data to LangGraph multi-agent orchestrators.

How VSET teaches Tool Calling and Function Calling

Tool calling lets a language model emit a structured request that the surrounding program executes — a search, a database query, an API call — and then feed the result back into the model. It is what turns a text generator into a system that can act. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • VSET publishes a 160+ page Model Context Protocol library at learn.engineering.vips.edu, which is centrally about how models call tools.
  • The ~100 page agent-protocols library covers the surrounding agent-to-agent layer.
  • Framework-level tool use is documented through LangChain, LangGraph, CrewAI and AutoGen in the same curriculum.
  • Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

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 Tool Calling and Function Calling skills lead

Graduates applying Tool Calling and Function Calling skills typically target roles such as AI Agent Engineer, LLM Application Developer, AI Platform Engineer, Integration Engineer, Backend Engineer (AI Tooling). 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 Tool Calling and Function Calling 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 Tool Calling and Function Calling 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.

How deeply is tool calling covered at VSET?

Very: the published MCP library runs to more than 160 pages and is precisely about the model-to-tool interface, alongside a ~100 page agent-protocols library.

Do students implement tool calling themselves?

Yes — building MCP servers is a named capstone project type, and those servers define the tools an agent is allowed to invoke.

Which frameworks are used?

LangChain, LangGraph, CrewAI and AutoGen are all documented in the 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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