Live opening · Posted 3 days ago

Artificial Intelligence Intern

Line Code · Noida, Uttar Pradesh, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyLine Code
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
SkillsArtificial Intelligence, Python
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

About the role
We're on the lookout for a curious, hands-on AI Intern who wants to work on real AI projects — not just study them in theory. If you've been experimenting with LLMs, playing around with vector databases, or building small ML projects on the side, we'd love to hear from you.
You don't need to be an expert in everything, but you should be comfortable with Python, have some exposure to Generative AI and LLMs, and — this one's important — have actually worked with vector databases before, even in a personal project.
What you'll actually be doing
Building and supporting AI/ML solutions in Python
Working directly with LLMs and Generative AI tools
Helping train, test, and fine-tune ML models
Getting into the weeds with vector databases, embeddings, and similarity search
Handling data through SQL and databases
Hooking up AI models and APIs into real applications
Debugging and evaluating models (because things break, a lot)
Trying out new AI tools as they come along
Working closely with our dev team day to day
What we're hoping you bring
0–2 years of experience with AI/ML, whether through work, internships, or solid personal projects
Good working knowledge of Python
Real hands-on experience with vector databases — this is a must
A solid grasp of embeddings and vector/similarity search
Some familiarity with LLMs and Generative AI
Basic ML fundamentals
Comfort with databases and SQL
Understanding of how APIs work and how to process data
A problem-solving mindset and genuine curiosity to keep learning
Nice to have (but not required)
Any experience with LangChain, Hugging Face, OpenAI APIs, FAISS, Pinecone, or similar tools will definitely stand out. Bonus points if you know your way around RAG (Retrieval-Augmented Generation).
Education
Currently pursuing or already have a degree in Computer Science, AI, Data Science, Machine Learning, Software Engineering, or something in that neighborhood? You're welcome to apply.
What you'll get out of it
Real, hands-on experience on live AI projects — not toy exercises
Exposure to LLMs, Generative AI, ML, Python, and vector databases in a practical setting
Mentorship from people who've been in the trenches
A shot at a full-time role if things click
Interested?
Send your CV to khushbhoo.mandal@line-code.com — we'd love to take a look.

Work arrangement
No

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