Project briefs, not videos
Five briefs built on realistic datasets and business problems. You submit work, not quiz answers.
Internships / Generative AI
Build LLM applications end to end: prompt libraries, retrieval over documents, chatbots, text-to-SQL and agents, then test them until they break.
The Generative AI Virtual Internship Program at PrimrIQ is about shipping LLM features that hold up, not demos. Your briefs are set inside a legal-tech product: a tested prompt library, a RAG system that answers questions from contracts, a support chatbot that knows when to escalate, and a text-to-SQL interface.
The final briefs go further, with a multi-step agent that monitors regulatory updates and a red-team exercise where you attack your own chatbot and fix what fails. A mentor reviews each submission for accuracy, cost and failure handling.
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Five briefs built on realistic datasets and business problems. You submit work, not quiz answers.
Written feedback on every submission: what works, what a senior would change, and why.
Join live to ask questions as you go. Every session is recorded if you miss one.
A resume review and mock interview practice in the final weeks, using the projects you built.
An official offer letter with a reference number, issued when your internship starts.
A completion certificate whose reference anyone can check on primriq.com.
No. You need working Python. The program is about building with LLM APIs, not training models from scratch.
Briefs include a prompt library, a RAG system over legal documents, a support chatbot with escalation, a text-to-SQL tool and a multi-step agent.
Some briefs call an LLM API. Ask your mentor before you start; they can point you to free and low-cost options.
AI engineer, LLM application developer and applied AI roles at startups building on foundation models.
Machine Learning covers training and evaluating models. Generative AI focuses on building products on top of LLMs: prompts, retrieval, agents and safety testing.