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Walk-in || AI - Intern

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Onsite

Walk-in || AI - Intern

RRD

Walk-in || AI - Intern

Skills

NodeFlaskPythonAIGitHubNo-code Automationsn8nFastAPIJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


AI - Intern

Work Mode: Office

Stipend: 15K Per month

Duration : 3 Months

JOB DESCRIPTION

Knowledge in building intelligent, automated, and multimodal AI systems.Strong experience with Python, JavaScript, LLMs (Gemini, Claude, GPT), RAG architectures, Agentic AI, and

visual 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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