AI Engineer Intern (RAG & LLMs)

About this internship

Skills you'll use

What you'll do

• building RAG pipelines over company data
• creating and querying embeddings
• wiring LLMs into product features
• measuring and improving answer quality
• Collaborate with the team and document your work
• Take ownership of assigned tasks and act on feedback

Who can apply

• Pursuing or recently completed a relevant degree (stream depends on the role) — 2026 freshers & final-year students welcome
• Foundational knowledge of Python, LLMs, RAG (or a strong willingness to learn them)
• Good communication, problem-solving and a genuine eagerness to learn
• Based in or willing to work from Gurugram
• A portfolio, project or coursework you can show (a plus, not mandatory)

Perks & benefits

Interview & selection process

4 rounds — typical selection flow for this role:

1. 1Application screening & resume shortlisting by the talent team
2. 2Case study or take-home assignment with a short presentation
3. 3Discussion with the hiring manager
4. 4HR discussion — stipend, start date, expectations and offer

About Zeta

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