Key Requirements: - Build & Configure GenAI-based solutions (chatbots, copilots, content generators). - Integrate AI capabilities (NLP, CV, RAG, LLM APIs) into enterprise applications. - Construct tool-using multi-agent systems using LangChain, AutoGen, or LangGraph. - Fine-tune LLMs and configure prompt workflows tailored to business contexts. - Implement inference pipelines for real-time predictions or decision automation. - Develop feedback loops and self-improving logic (online learning, meta-learning). - Enable tool orchestration, memory management, and long-context reasoning in agents. - Collaborate with product and UI teams to bring AI features into user-facing apps. Prerequisites -Primary Programming : Strong Python -Secondary Programming : Java , C++, NodeJs -ML Concepts -REST APIs , Integration – MQTT, Kafka -Version Control Must Have - Deep Learning Frameworks (PyTorch, Tensorflow) - Generative AI Development : ( LLM APIs, Prompt Engineering, RAG ) - Multi-Agent Frameworks (...