Join our innovative team as a Generative AI Engineer, bridging the gap between advanced AI technologies and exceptional user experiences. This role focuses on creating intelligent, agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines, complemented by intuitive frontend interfaces.

Key responsibilities include designing and implementing Generative AI solutions using LLMs like GPT, Claude, and LLaMA. You will develop and optimize RAG pipelines with vector databases, and build agentic workflows and conversational AI agents using frameworks such as LangGraph and OpenAI. Vectorization using models like GTE-large and BGE, with optional fine-tuning, is also a core task. Collaboration with backend and app teams for seamless integration of Gen AI capabilities is essential.

Required expertise includes a deep understanding of LLMs, prompt engineering, and transformer architectures, alongside hands-on experience with RAG, vector search, and embedding models. Proficiency in Python with libraries like LangChain, Transformers, OpenAI SDK, or Hugging Face is crucial. Familiarity with agentic frameworks (AutoGen, OpenAI, CrewAI, LangGraph) and experience deploying AI models via APIs or microservices are also necessary.