We are looking for a curious and hands-on fresher who wants to build practical applications using AI, automation, web technologies, and Large Language Models (LLMs).
This is not a role where you will only study AI concepts or work on theoretical machine-learning models.
You will work with our team to build small, useful applications and automation workflows that help businesses collect information, monitor websites, process documents, organize knowledge, and make information easier to access.
You will get exposure to technologies such as Python, web scraping, APIs, RAG, Local LLMs, web monitoring, automation workflows, databases, and AI agents.
You could be asked to build applications such as:
Build a simple application where a user can upload documents and ask questions about them using RAG + Local LLMs.
Enter a company/product/topic and automatically collect relevant information from selected websites, organize the information and generate a structured summary.
Extract specific information from PDFs, websites or documents and convert it into structured data.
Monitor given websites and identify new publications, guidance documents or content changes.
Connect company documents and knowledge repositories to an AI assistant so employees can search and ask questions using natural language.
You do not need to know everything.
We are primarily looking for someone with strong curiosity, logical thinking and the willingness to learn.
We are looking for someone who thinks:
“I don’t know how to build it yet, but I want to figure it out.”
If you enjoy experimenting with technology, searching for solutions, trying different approaches and turning an idea into a working application, this role could be a good fit for you.
Please send your CV/Resume along with links to any projects, GitHub repositories, demos or applications you have built.
Subject: Application – AI Automation & Development Associate
Freshers are encouraged to apply.