RRD
Walk-in || AI - Intern
Skills
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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