Python_ Aiml Engineer

` Role Overview: We are seeking a highly skilled AI Engineer to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution. This role involves integrating advanced machine learning models with reasoning, planning, and interaction capabilities to build scalable, intelligent applications. The ideal candidate will have a strong foundation in LLMs, prompt engineering, and web development, with hands-on experience deploying AI-powered web applications. Key Responsibilities: - Design and develop agentic AI systems with autonomous task execution capabilities. - Integrate Large Language Models (LLMs) with reasoning, planning, and interaction frameworks. - Implement Retrieval-Augmented Generation (RAG) architectures using vector databases. - Engineer effective prompts and workflows for LLM-based agents. - Utilize agentic libraries (e.G., LangChain, AutoGPT, CrewAI, etc.) to build modular and scalable AI agents. - Develop and deploy web applications that interface with AI systems. - Collaborate with cross-functional teams to define system requirements and deliver robust solutions. - Optimize performance, scalability, and reliability of AI-powered applications. Must-Have Skills: - Programming: Proficiency in Python and relevant AI/ML libraries. - LLMs: Experience working with models like GPT, Claude, Mistral, or open-source equivalents. - Prompt Engineering: Ability to design and refine prompts for complex tasks. - Vector Databases: Hands-on experience with FAISS, Pinecone, Weaviate, or Chroma. - RAG Architecture: Deep understanding of retrieval-based generation pipelines. - Agentic Libraries: Familiarity with frameworks like LangChain, AutoGPT, CrewAI, or similar. - Web Development: Prior experience in frontend/backend development and web app deployment (e.G., using Flask, FastAPI, React, Docker). - Deployment: Experience deploying applications on cloud platforms (AWS, Azure, GCP) or containerized environments.