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AI Engineer Intern

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Onsite

AI Engineer Intern

Wisdom Square Technologies

AI Engineer Intern

Skills

Google Cloud PlatformPythonMachine LearningAIAWSGitHubNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Internship

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


Role: AI Engineer Intern

Location: Bengaluru

Working Hours : 12 pm- 9 pm

Ever built something with an LLM and thought wait, this is actually magic? Come build that magic for real clients.

At Wisdom Square, we're looking for an AI-obsessed builder who's already been playing with LLMs, agents, and RAG and wants to take it from cool weekend project toshipping to real US clients. If you'd rather wire up a retrieval pipeline than scroll Instagram, we should talk.

We care less about your rsum and more about what you've built. If you've poured yourself into a cool AI project personal or from college — and you've got the GitHub repo to show for it, you're exactly who we want.

What You'll Be Doing

  • Build with LLMs RAG pipelines, AI agents, and prompt/orchestration workflows on real client problems
  • Work the stack Vector databases, embeddings, retrieval, and wiring models into real apps
  • Ship & iterate – Take AI features to production with US clients in the loop
  • Solve hard problems – The kind that don't have a Stack Overflow answer yet

What We're Looking For

  • Passion: You genuinely love this stuff. You've built cool AI/ML projects — personal or in college — and you're excited to talk through them.
  • A GitHub we can dig into: Share your repo. We want to see how you think and build, not just read about it.
  • Skills:Solid Python + hands-on with LLM APIs (OpenAI, Anthropic, Gemini, or open models)
  • Fundamentals: Grounding in ML/NLP basics and clean, working code
  • Mindset:* You can explain why you chose a model or approach — not just that it worked
  • Bonus:RAG, LangChain/LlamaIndex, vector DBs, cloud (Azure/AWS/GCP), fine-tuning or evals

No prior professional experience needed — we care about your fundamentals, the projects you've built, and your hunger to keep building.

What You Get

  • Paid Internship
  • Direct mentorship from experienced engineers
  • Real production AI, not just tutorials
  • Potential for a full-time offer

Ready to Get Started? Send us your GitHub repo and a line about the AI project you're proudest of. Show us what you can build!

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