Generative AI Intern

About this internship

Skills you'll use

What you'll do

• building GenAI features with LLMs and RAG
• working with embeddings and vector databases
• prototyping and evaluating AI workflows
• integrating models via APIs
• documenting experiments and findings
• Collaborate with the team and document your work
• Take ownership of assigned tasks and act on feedback

Who can apply

• Pursuing or recently completed BE/B.Tech/M.Sc (CS/Data Science) or equivalent
• Foundational knowledge of Generative AI, Python, LLMs, LangChain
• Good communication and a genuine willingness to learn
• Based in or open to working from Pune
• 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 — the recruitment team at Quick Heal Technologies reviews your resume, projects/portfolio and fit for the Generative AI Intern role.
2. 2Aptitude / Skills Assessment — a screening test focused on Python, ML basics and GenAI concepts.
3. 3Technical / Role Interview — an in-depth discussion of your skills, projects and a task or case relevant to machine learning.
4. 4Second Interview / Assignment Round — a deeper problem-solving, portfolio or practical assignment round with a senior team member.
5. 5HR / Managerial Discussion — a conversation about your interests, availability, learning goals and the internship offer with Quick Heal Technologies.

About Quick Heal Technologies

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