Role: Generative AI Engineer Role Overview We are seeking an innovative and experienced Generative AI Engineer to join our team. In this role, you will bridge the gap between cutting-edge Generative AI technologies and seamless user experiences. You will lead the creation of intelligent, agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines while delivering intuitive and responsive frontend interfaces. Key Responsibilities • Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA • Develop and optimize RAG pipelines using vector databases (ChromaDB for local development and Databricks Mosaic ML Vector Stores) • Build and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI • Perform vectorization using models such as GTE-large and BGE, and optionally fine-tune them for improved accuracy • Collaborate with backend and app teams to integrate Gen AI capabilities into products Required Skills & Experience • Deep understanding of LLMs, prompt engineering, and transformer architectures. • Hands-on experience with RAG architectures, vector search, and embedding models. • Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. • Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph. • Experience deploying AI models via APIs or microservices. Preferred Skills • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field • Experience with cloud platforms such as AWS, GCP, or Azure, and CI/CD pipeline