Experienced in building intelligent, automated, and multimodal AI systems.Robust Knowledge 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

- Knowledge Python and JavaScript.

- Knowledge with Flask, FastAPI, and Node.js.

- Knowledge with LLMs (Gemini, Claude, GPT, Hugging Face Transformers) including model fine-tuning.

- Understanding of autonomous agent design, decision-making loops, and task chaining.

- Knowledge building end-to-end Retrieval-Augmented Generation (RAG) systems using LangChain or LangGraph.

- Knowledge with vector databases such as Pinecone, FAISS, or Chroma.

- Knowledge of ComfyUI, Stable Diffusion, Runway, or Midjourney.

- Proficiency in workflow automation using n8n.

- Knowledge designing and refining structured prompts for LLM accuracy and creativity.

- Strong knowledge of API integration across AI tools and frameworks.

- Proficient in Git and GitHub.

- Excellent analytical, debugging, and optimization skills.

📌 AI Engineer (Chennai)
🏢 RRD
📍 Chennai