Python GenAI Developer - Large Language Model Frameworks

Job Title : Python GenAI Developer Experience : 4-6 Years Job Summary : We are seeking a skilled Python Developer with 46 years of experience and a strong background in Generative AI application development. The ideal candidate should have expertise in Python programming, modern web frameworks, and hands-on experience with Large Language Model (LLM) frameworks and APIs. The role involves building, integrating, and optimizing AI-powered applications using the latest GenAI technologies. Required Skills : Strong proficiency in Python, including object-oriented programming (OOP) principles.Hands-on experience with Python libraries such as NumPy, Pandas, FastAPI, and Streamlit.Practical experience working with LLM APIs and orchestration frameworks including :Google ADKLangChainLangGraphPhoenixGuardrailsMem0Ability to design, develop, and deploy AI-driven applications using modern Python frameworks.Good understanding of software development best practices, debugging, and performance optimization. Preferred Skills : Experience with AI/ML tools and vector databases such as : 1. Hugging Face FAISSMilvusExposure to emerging GenAI technologies, including :A2A (Agent-to-Agent)MCP (Model Context Protocol)Other advanced GenAI frameworks and protocols.Background in traditional Artificial Intelligence or Machine Learning concepts and model development is an added advantage. Key Responsibilities : Develop and maintain Python-based applications for Generative AI solutions.Integrate and work with Large Language Models (LLMs) using industry-standard APIs and frameworks.Build scalable APIs and interactive AI applications using FastAPI and Streamlit.Design workflows and orchestration pipelines using LangChain, LangGraph, and related frameworks.Implement memory management, guardrails, and monitoring mechanisms for AI applications.Utilize vector databases and embedding technologies for Retrieval-Augmented Generation (RAG) solutions.Collaborate with cross-functional teams to deliver robust, scalable, and production-ready AI applications.Stay current with emerging GenAI technologies and contribute to continuous innovation and best practices. .