Role u0026 Responsibilitiesnn- Design, develop, and deploy enterprise-grade LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) solutions.n- Build scalable AI applications using Python and up-to-date GenAI frameworks.n- Develop and optimize prompt engineering, retrieval pipelines, and vector search implementations.n- Integrate LLMs with enterprise knowledge bases, APIs, and data platforms.n- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.n- Monitor, evaluate, and improve the performance, accuracy, and reliability of AI models.n- Drive best practices in AI architecture, code quality,



and deployment.n- Mentor team members and stay updated with the latest advancements in Generative AI technologies.nnPreferred Candidate Profilenn- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.n- 615+ years of experience in Software Engineering, AI/ML, or Data Engineering.n- Hands-on experience with LLMs, RAG Architecture, Prompt Engineering, Python, LangChain/LlamaIndex, Vector Databases (FAISS, Pinecone, ChromaDB), and SQL.n- Experience with cloud platforms such as Azure, AWS, or GCP.n- Solid understanding of NLP, Machine Learning, and Generative AI concepts.n- Excellent analytical, problem-solving, stakeholder management, and communication skills. .

📌 Hiring For SM - LLM /RAG Specialist (Karnataka) (India)
🏢 Crescendo Global Leadership Hiring India
📍 India