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3 Days ago

AI Engineer Intern (INR 10-20K monthly)

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10000 - 20000 INR - Weekly
Pune, Maharashtra, India
Information Technology
Other
GuppShupp

Overview

About GuppShupp

We’re a stealth AI company built by folks who’ve scaled businesses past $100M+ in revenue and are backed by some of the strongest investors in the ecosystem.

We’re moving fast, building from zero, and looking for one thing in this role above everything else: Hunger. Relentless, self-driven, no-excuses hunger.

Round 1 Details

Please submit the following assignment before 5th December 2025. Applications are reviewed on a rolling basis. All the best!!

https://docs.google.com/document/d/18G_IJOXmUe6yDrTfezpZaQeFkNfmUjU07IwECqArFJU/edit?usp=sharing

About the Role

We are seeking a first-principles thinker to join our engineering team. You will function as an AI Engineer Intern. You will not be spoon-fed tasks; you will own the end-to-end delivery of complex AI solutions for our product.

Your mandate is to envision, design, and work on Agentic AI that streamline high-value workflows, turning cutting-edge AI research into trusted, compliant, and scalable systems

Key Responsibilities

  • Develop and optimize LLM prompting pipelines to improve contextual understanding, memory retention, and response coherence across conversations.

    • Design and implement AI memory systems — enabling persistent, context-aware dialogue experiences for conversational and agentic AI models.
  • Work with open-source LLMs (e.g., Llama, Mistral, Falcon, etc.) — fine-tune, evaluate, and deploy them efficiently for production use.

  • Research and experiment with emerging LLM techniques, retrieval-augmented generation (RAG), vector databases, and memory architectures.

  • Build and deploy voice-enabled AI agents, integrating speech recognition (ASR) and text-to-speech (TTS) for real-time, human-like interactions.

  • Collaborate cross-functionally with product, backend, and design teams to translate research insights into scalable, production-ready systems.

You’ll be a great fit if you have

  • 5-12 month of hands-on AI engineering experience
  • Proven experience building and deploying LLM applications and agentic architectures in a production environment.
  • Proficiency in Python.
  • Obsessed with customer value and meaningful ROI

Perks and Benefits

  • We offer Industry-standard salary plus a significant ESOP package (company ownership).
  • We sponsor your participation in relevant industry conferences and events.
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