AI Engineer

Experienced in building intelligent, automated, and multimodal AI systems.Strong 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.