Job Description

About the Role

Are you currently in your 2nd or 3rd year of B.Tech and spending your free time exploring LLMs, RAG, AI Agents, or other Generative AI tools

We are looking for a curious student who can help us create and deliver a practical, video-based course on Generative AI and Agentic AI. This role involves developing structured course content and recording educational videos that explain concepts clearly to learners. We do not expect years of experience or expertise across every AI framework. What we value most is someone who enjoys building things, picks up new concepts quickly, understands what they build, and can explain it to others in a simple, clear manner.

The course will cover topics such as:

Generative AI and LLM basics, including Transformers and Prompt Engineering.
How to use LLM APIs from providers like OpenAI, Gemini, and Claude, as well as open-source models.
Getting structured data and using tools or functions with LLMs.
Embeddings, Vector Databases, and Retrieval-Augmented Generation (RAG).
Building systems for asking questions about documents, managing context, and using multimodal AI.
The basics of fine-tuning models.
AI Agents, covering their structure, memory, planning, and reasoning.
Systems where humans are involved, agent handoffs, and working with single or multiple agents.
Using frameworks and tools like LangChain, LangGraph, OpenAI Agents SDK, and Model Context Protocol (MCP).
Techniques for guardrails, evaluation, debugging, optimizing costs and speed, and basic deployment.

Projects will form a major component of the course, involving the creation of applications such as a RAG-based Document Assistant, AI Research Assistant, Customer Support Agent, Resume Analysis Agent, and complete Agentic AI applications.

Key Responsibilities

Create and record clear, well-structured video lessons for the course.

Help organize course content, progressing from basic to advanced topics.

Research the latest developments in Generative AI and Agentic AI.

Build demos and explain concepts step by step on video.

Create quizzes, assignments, and small practice projects.

Work on larger capstone projects for the course.

Keep the course content updated as the AI field evolves.

Collaborate with the team to improve the quality and structure of the course.

Requirements

Currently in 2nd or 3rd year of B.Tech (CSE, AI & ML, Data Science, IT, or a related technical background).

Comfortable working with Python, APIs, and JSON.

Basic understanding of Generative AI and LLM concepts.

Interest in exploring and building with new AI tools.

Good communication and narration skills, with the ability to explain technical concepts clearly and simply.

Comfortable speaking and recording educational videos.

Curiosity, willingness to learn, and attention to detail.

Good to Have

Previous experience with LangChain, LangGraph, OpenAI/Gemini APIs, Hugging Face, Vector Databases, RAG, FastAPI, MCP, or AI Agents. If you have built a few interesting AI projects and can clearly explain what you did, how it works, and why you made certain choices, we would be very interested in speaking with you.

About Vextra.AI

Vextra.AI is an emerging technology organisation focused on building practical and innovative solutions within the fields of artificial intelligence and related engineering disciplines. We believe in making technical and conceptual learning accessible and practical, and we aim to achieve this by providing clear explanations, real-world applications, and engaging educational content.

Internship Details

Role:GenAI & Agentic AI Intern

Duration: 2–3 months

Stipend: Up to 10,000 per month, depending on performance

Preferred: B.Tech 2nd & 3rd Year Students

Work Mode: Remote

Location: India

If you are someone who constantly experiments with AI to explore what more you can build, we would love to hear from you.

Please apply through LinkedIn and send us your resume.