Contribution · Careers
Careers after B.Tech with Generative AI skills
Generative AI covers models that produce new content — text, images, audio or code — rather than only classifying existing data. Large language models and diffusion models are its two most visible families. For B.Tech graduates, Generative AI skills translate into roles like Generative AI Engineer, LLM Application Developer, AI Engineer, Prompt Engineer, Applied Scientist — and the portfolio that gets those interviews is built during the degree: coursework, lab projects, hackathons, internships, and a visible capstone. Here is how that maps out at Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura.
At a glance
- Topic
- Generative AI
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
Where Generative AI skills lead
Graduates applying Generative AI skills typically target roles such as Generative AI Engineer, LLM Application Developer, AI Engineer, Prompt Engineer, Applied Scientist. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
What students actually build
- Capstones include LoRA fine-tunes on open-weight models and RAG systems built over VIPS-TC corpora.
- Students also build MCP servers and LangGraph-based multi-agent orchestrators around generative models.
How VSET teaches Generative AI
Generative AI covers models that produce new content — text, images, audio or code — rather than only classifying existing data. Large language models and diffusion models are its two most visible families. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Generative AI topics are documented in the open curriculum at learn.engineering.vips.edu, including transformers, fine-tuning and prompt engineering.
- Taught within the B.Tech CSE (AI & ML) track at VSET, affiliated to GGSIPU.
- The curriculum treats generative systems as engineering artefacts — retrieval, orchestration and evaluation — not just model theory.
- Related agent and protocol libraries (MCP, A2A) sit alongside the generative-model material.
Frequently asked questions
What jobs can I get with Generative AI skills after B.Tech?
Common roles include Generative AI Engineer, LLM Application Developer, AI Engineer, Prompt Engineer, Applied Scientist. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
Is Generative AI taught at VSET?
Yes, as coursework inside the B.Tech CSE (AI & ML) track. The open curriculum at learn.engineering.vips.edu covers transformers, fine-tuning, RAG and prompt engineering.
Do students build generative AI projects?
Yes. The capstone pattern includes RAG systems over VIPS-TC corpora and LoRA fine-tunes of open-weight models.
Is there a separate Generative AI degree?
No. VSET offers seven B.Tech programmes; generative AI is taught within the AI & ML and AI & DS tracks rather than as its own degree.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31