Internship

AI - Intern

RRD · Chennai

Company
RRD
Type
Internship
Work mode
On-site
Location
Chennai
Salary / stipend
₹15,000 a month
Experience
Internship
Posted
5 Nov 2026

About this internship

Job description

Knowledge in building intelligent, automated, and multimodal AI systems. Strong experience with Python, JavaScript, LLMs (Gemini, Claude, GPT), RAG architectures, Agentic AI, andvisual diffusion models. Integrating cutting-edge AI tools, creating automation workflows with n8n and ComfyUI, fine-tuning and deploying models, and developing scalable APIs using Flask or FastAPI.

Responsibilities

  • Design, develop, and deploy intelligent Agentic AI systems and RAG pipelines.
  • Integrate, fine-tune, and optimize LLMs (Gemini, Claude, GPT, Hugging Face Transformers) for text and multimodal applications.
  • Build workflow automations using n8n and AI pipelines in ComfyUI.
  • Implement diffusion-based image and video generation using tools such as Runway, Midjourney, and Stable Diffusion.
  • Develop and maintain API services using Flask and FastAPI.
  • Manage and query vector databases (Pinecone, FAISS, Chroma) and embeddings to support retrieval-augmented AI systems.
  • Work on prompt engineering for LLM task optimization and contextual understanding.
  • Collaborate with frontend and backend teams for seamless API integration and AI model deployment.
  • Utilize code interpreters for automation and dynamic code execution.
  • Maintain repositories, documentation, and collaboration using Git and GitHub.
  • Ideate and develop new AI-powered tools or solutions by leveraging existing AI platforms and technologies.

Required Skills and Experience

  • Proficient in Python and JavaScript.
  • Experience with Flask, FastAPI, and Node.js.
  • Hands-on experience with LLMs (Gemini, Claude, GPT, Hugging Face Transformers)including model fine-tuning.
  • Understanding of autonomous agent design, decision-making loops, and task chaining.
  • Experience building end-to-end Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph.
  • Familiarity with vector databases such as Pinecone, FAISS, or Chroma.
  • Knowledge of ComfyUI, Stable Diffusion, Runway, or Midjourney.
  • Proficiency in workflow automation using n8n.
  • Experience designing and refining structured prompts for LLM accuracy and creativity.
  • Strong knowledge of API integration across AI tools and frameworks.

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