AI-Native Intern

Location: Hyderabad |Internship | Open to Freshers

Replicant Systems is looking for a passionate and sharp AI-Native Intern who lives and breathes Large Language Models (LLMs), loves experimenting with tools like ChatGPT, Claude, Perplexity, and more and is always a few steps ahead in discovering what&aposs possible with AI.

If you&aposre the kind of person who explores AI tools for fun, helps others figure out better prompts, and constantly thinks how can I automate or accelerate this with AI this is for you.

What Youll Do:

• Explore and test the latest LLMs, AI tools, research assistants, and agent frameworks
• Build and refine effective prompts for research, GTM, and solution discovery
• Work closely with our GTM team to inject AI superpowers into daily ops
• Act as an internal AI educator sharing findings, best practices, tools, and quick wins
• Experiment with automation, data scraping, market research, and AI copilots
• 
  Help us stay ahead of the curve and use AI in ways we havent thought of yet

Who You Are:

• Passionate about AI you&aposre the one your friends ask, How did you do that with ChatGPT
• A natural tinkerer you explore new AI tools before they&aposre trending
• Curious, self-driven, and excited to work on open-ended challenges
• Great communicator you can turn a complex AI experiment into a simple team update
• Open to all backgrounds technical or non-technical, as long as youre AI-fluent and fast-moving

Bonus Points:

• Youve played with tools like LangChain, Agentic frameworks, Claude, Perplexity, ChatGPT, or similar

• Looking to get Placed? Try our Placement Guarantee Plan

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  Youve built prompt libraries, AI workflows, or mini tools
• You follow AI research and know whats happening on HuggingFace, Arxiv, etc.

What Youll Get:

• A front-row seat to building and scaling cutting-edge Agentic AI products
• A chance to shape how AI is used across GTM, marketing, and sales
• Freedom to experiment, fail fast, and lead initiatives
• A fast-paced, ambitious team that values smart experimentation